Browse Skills — Page 6

ai-content-monetization

TerminalSkills/skills

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ai-data-security

wgpsec/AboutSecurity

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ai-debug

arcasilesgroup/ai-engineering

Diagnoses broken behavior systematically with a 4-phase root-cause loop: test failures, runtime errors, crashes, regressions. Never patches symptoms. Trigger for 'it is not working', 'something broke', 'this used to work', 'I am getting an error', 'CI is failing', 'why is X happening'. Not for adding tests; use /ai-test instead. Not for security findings; use /ai-security instead.

ai-design

arcasilesgroup/ai-engineering

Designs user interfaces and design systems for web, mobile, CLI, and documentation-heavy experiences: aesthetic direction, color palettes, typography, spatial composition, information architecture. Trigger for 'design this page', 'create a design system', 'what style should we use', 'UI for this feature', 'color palette for', 'typography for'. Not for animation; use /ai-animation instead. Not for static visual art (posters, banners); use /ai-visual instead. Not for slide decks; use /ai-slides instead.

ai-dev-jobs-mcp

diegosouzapw/awesome-omni-skills

AI Dev Jobs MCP workflow skill. Use this skill when the user needs Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-dev-jobs-mcp-v2

diegosouzapw/awesome-omni-skills

AI Dev Jobs MCP workflow skill. Use this skill when the user needs Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-development-guide

shinpr/claude-code-workflows

Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.

ai-docs

arcasilesgroup/ai-engineering

Manages the documentation lifecycle: CHANGELOG, README, solution-intent architecture docs, external docs portals, and documentation quality gates. Auto-invoked by /ai-pr. Trigger for 'update the changelog', 'the README is stale', 'document this feature', 'docs portal needs updating', 'did we document all changes'. Not for blog or pitch content; use /ai-prose instead. Not for marketing collateral; use /ai-marketing instead.

ai-docs-autopilot

MicrosoftDocs/windows-driver-docs-ddi

'End-to-end autopilot: inventory, generate, and submit WDK DDI API reference docs from a CSV file with no user interaction. Use when: running the full doc pipeline unattended, auto-generating and submitting DDI docs.'

ai-docs-generate

MicrosoftDocs/windows-driver-docs-ddi

'Generate WDK DDI API reference documentation pages from source code and stubs. Use when: writing API docs, generating reference pages, documenting a header, creating DDI documentation.'

ai-docs-inventory

MicrosoftDocs/windows-driver-docs-ddi

'Inventory and classify APIs listed in a pre-provided CSV for a WDK header file. Use when: inventorying a header, classifying APIs, validating a CSV for doc generation, checking what needs to be documented.'

ai-docs-submit

MicrosoftDocs/windows-driver-docs-ddi

'Submit generated WDK DDI API reference documentation as a PR to the wdk-ddi repo. Use when: submitting docs, creating a PR for DDI docs, pushing documentation changes.'

vercel-labs/ai-elements

vercel-labs/workflow-workshop

Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

openai/ai-elements

openai/plugins

AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn/ui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.

ai-engineer

diegosouzapw/awesome-omni-skills

ai-engineer workflow skill. Use this skill when the user needs Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-engineer-v2

diegosouzapw/awesome-omni-skills

ai-engineer workflow skill. Use this skill when the user needs Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-engineering

elophanto/EloPhanto

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Adapted from msitarzewski/agency-agents.

ai-engineering-issue

arcasilesgroup/ai-engineering

Files an upstream bug or improvement report against `arcasilesgroup/ai-engineering` (the framework repo) with strict seven-vector redaction, mandatory human confirmation, and an archived sanitized copy. Trigger for 'report this upstream', 'file an ai-engineering bug', 'this looks like a framework bug', 'tell anthropic / arcasiles about this'. Not for your own project's board (use /ai-issue); not for security disclosure (use the private channel listed in CONSTITUTION.md).

ai-engineering-toolkit

diegosouzapw/awesome-omni-skills

AI Engineering Toolkit workflow skill. Use this skill when the user needs 6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-ethics-review

mohitagw15856/pm-claude-skills

Conduct an ethical review of an AI or ML feature, model, or product. Use when asked to run an AI ethics review, assess AI risks, audit a model for bias, or produce an AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with prioritised mitigations.

ai-eval-ci

TerminalSkills/skills

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ai-explain

arcasilesgroup/ai-engineering

Explains code, concepts, patterns, and architecture with engineer-grade depth: 3-tier control (brief/standard/deep), ASCII diagrams, execution traces, anchored to real file:line references. Trigger for 'how does this work', 'why does it do X', 'trace through this', 'explain this pattern', 'walk me through'. Not for documentation artifacts; use /ai-prose or /ai-docs instead. Not for fixing code; use /ai-debug or /ai-build instead.

ai-explore

arcasilesgroup/ai-engineering

Codebase-only read-only research dispatcher. Thin wrapper around the ai-explore agent for architecture mapping, dependency tracing, pattern identification, and risk surfacing. Trigger for 'explore the codebase', 'where does X live', 'map this module', 'what depends on Y', 'trace this import chain'. Not for external evidence with citations; use /ai-research instead.

ai-first-engineering

affaan-m/ECC

Engineering operating model for teams where AI agents generate a large share of implementation output.

ai-gateway

openai/plugins

Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.

ai-generation-persistence

openai/plugins

AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation

ai-governance

arcasilesgroup/ai-engineering

Validates framework compliance, ownership boundaries, risk acceptance lifecycle, and manifest integrity for regulated environments. Trigger for 'are quality gates enforced', 'who owns this file', 'formally accept a known risk', 'pre-release compliance check', 'governance report for auditors'. Not for code quality; use /ai-verify instead. Not for security scanning; use /ai-security instead — this validates governance process, not code content.

ai-guardrails

TerminalSkills/skills

>-

ai-ide-audit

arcasilesgroup/ai-engineering

Audits an IDE end-to-end (instruction surface, hooks, skills, agents, installer wiring) using strict file-evidence — never assumptions. Trigger for 'audit IDE support', 'is Copilot wired up correctly', 'check Claude Code integration', 'are there orphaned hooks', 'verify IDE setup'. Accepts Claude Code, GitHub Copilot, Codex, Antigravity, or all. Not for code quality; use /ai-verify instead. Not for security scanning; use /ai-security instead.

ai-identity-security

wgpsec/AboutSecurity

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ai-infrastructure-attack

wgpsec/AboutSecurity

AI/ML 基础设施安全测试。当目标涉及 Jupyter Notebook/JupyterHub/JupyterLab、MLflow、Ray Dashboard、Kubeflow、Gradio/Streamlit 应用、vLLM/TGI/Ollama 推理服务、或任何机器学习平台时使用。当发现端口 8888(Jupyter)/5000(MLflow)/8265(Ray)/8080(Kubeflow)/7860(Gradio)/8501(Streamlit)/11434(Ollama) 时使用。AI 基础设施是云安全比赛和实战中的新兴高价值目标——很多 AI 平台默认无认证或弱认证，直接提供代码执行能力。发现任何 AI/ML 相关服务、模型训练/推理平台、notebook 环境时都应使用此 skill

ai-inventory

anthropics/claude-for-legal

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ai-issue

arcasilesgroup/ai-engineering

Creates a project work-item (issue / task / story) on the user's configured board: routes by manifest `work_items.provider` (GitHub Projects v2 or Azure DevOps), composes title + body + labels, attaches to the active board, and confirms a clickable link. Trigger for 'open an issue', 'file a bug', 'create a task', 'add this to the backlog', 'log a work item'. Not for upstream framework bugs (use /ai-engineering-issue); not for board configuration (use /ai-board discover); not for committing code (use /ai-commit).

ai-learn

arcasilesgroup/ai-engineering

Extracts lessons from merged PR review feedback by analyzing what reviewers caught, identifying missed checks, and writing entries directly to LESSONS.md. Trigger for 'the AI keeps doing X wrong', 'learn from this PR', 'what patterns did reviewers catch', 'update our standards from feedback'. Not for in-session observation; use /ai-session-watch instead. Not for skill-level rewrites; use /ai-skill-improve instead.

ai-marketing

arcasilesgroup/ai-engineering

Drives go-to-market execution and marketing content: blog posts for distribution, social crossposts, investor materials, market research, outreach campaigns, X/Twitter automation. Trigger for 'go to market', 'marketing plan', 'write a blog post to publish', 'crosspost to socials', 'market research for', 'investor deck', 'outreach campaign', 'content engine'. Not for internal docs; use /ai-docs instead. Not for sprint reviews or solution intent; use /ai-prose instead.

ai-marketing-videos

aAAaqwq/AGI-Super-Team

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

ai-mcp-audit

arcasilesgroup/ai-engineering

Audits MCP servers and skills on demand using LLM coherence analysis to catch capability drift and rug-pulls. Trigger for 'audit this skill', 'is this MCP safe', 'check coherence', 'detect rug-pull', 'snapshot baseline', 'mcp audit'. Three modes: scan (declared-vs-observed), audit-update (post-update diff), baseline set (anchor known-good). Not for runtime payload inspection; use prompt-injection-guard hook instead. Not for CVE scanning; use /ai-security instead.

ai-md

diegosouzapw/awesome-omni-skills

AI.MD v4 \u2014 The Complete AI-Native Conversion System workflow skill. Use this skill when the user needs Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-media

arcasilesgroup/ai-engineering

Generates images, videos, and audio via AI models (fal-ai MCP): cheap iteration models, expensive production finals, cost-estimate before generation. Trigger for 'generate an image', 'create a thumbnail', 'make a voiceover', 'AI video', 'text to speech for'. Not for design composition; use /ai-visual instead. Not for animation specs; use /ai-animation instead.

ai-ml

diegosouzapw/awesome-omni-skills

AI/ML Workflow Bundle workflow skill. Use this skill when the user needs AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-ml-api-automation

ComposioHQ/awesome-claude-skills

"Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas."

ai-ml-v2

diegosouzapw/awesome-omni-skills

AI/ML Workflow Bundle workflow skill. Use this skill when the user needs AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-model-cloudbase

TencentCloudBase/awesome-cloudbase-examples

Complete guide for calling AI models with CloudBase - covers JS/Node SDK and WeChat Mini Program. Text generation, streaming, and image generation.

ai-model-nodejs

TencentCloudBase/CloudBase-MCP

Use this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express, Koa, NestJS, serverless APIs, scheduled jobs, LLM proxies. Only SDK supporting image generation (ai.createImageModel + generateImage). Text models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the model field of generateText/streamText. MUST run two-step preflight before code — see body. Keywords: backend, 云函数, 云托管, serverless, LLM proxy, agent orchestration, generateText, streamText, generateImage, createModel, hunyuan-image, Token Credits, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat).

ai-model-web

TencentCloudBase/CloudBase-MCP

Use this skill when a browser/Web app (React, Vue, Angular, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI) needs AI models via @cloudbase/js-sdk. Default routing for page/页面/Web/前端/frontend/网页/H5 AI — call directly from browser, do NOT propose a Node.js proxy. Covers generateText and streamText. Models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the model field. MUST run two-step preflight before code — see body. Keywords: 页面, Web, 前端, React, Vue, Next, Nuxt, SPA, AI chat UI, generateText, streamText, createModel, hunyuan-exp, Token Credits, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only).

ai-model-wechat

TencentCloudBase/CloudBase-MCP

Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, 企业微信小程序, wx.cloud apps). Features generateText and streamText with callbacks (onText, onEvent, onFinish). Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the data wrapper model field. API differs from JS/Node SDK — streamText needs data wrapper, generateText returns raw response. MUST run two-step preflight before code — see body. Keywords: Mini Program AI, wx.cloud.extend.AI, 小程序成长计划, ai_miniprogram_inspire_plan, Token Credits 资源包, generateText, streamText, createModel, hunyuan-exp, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).

ai-models

alinaqi/maggy

Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate

ai-native-cli

diegosouzapw/awesome-omni-skills

Agent-Friendly CLI Spec v0.1 workflow skill. Use this skill when the user needs Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-native-cli-v2

diegosouzapw/awesome-omni-skills

Agent-Friendly CLI Spec v0.1 workflow skill. Use this skill when the user needs Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-note

arcasilesgroup/ai-engineering

Saves persistent technical discoveries (debugging insights, non-obvious behaviors, workarounds, integration gotchas) and searches them across sessions. Trigger for 'save this', 'note that', 'remember this finding', 'what did we find about', 'do we have notes on'. Rule of thumb: if it took more than 30 minutes to figure out, save it. Not for cross-session learning patterns; use /ai-session-watch or /ai-learn instead.

ai-onboard

arcasilesgroup/ai-engineering

Onboards humans to a project: architecture tours, topic search, decision archaeology, structured new-team-member orientation. Read-only — never modifies code. Trigger for 'where does auth happen', 'what is the architecture here', 'history of this decision', 'onboard me to this repo', 'tour the codebase'. Not for agent session bootstrap; use /ai-start instead. Not for code-level explanation; use /ai-explain instead.

ai-pentesting

TerminalSkills/skills

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ai-pipeline

arcasilesgroup/ai-engineering

Generates, evolves, and validates CI/CD pipelines for GitHub Actions or Azure Pipelines, enforcing SHA pinning, timeouts, secret handling, and concurrency policy. Trigger for 'set up CI/CD', 'add a deployment pipeline', 'is this workflow secure', 'check workflow policy', 'add a security scan to CI'. Not for running pipelines; that is the CI system's job. Not for governance audits; use /ai-governance instead.

ai-plan

arcasilesgroup/ai-engineering

Decomposes an approved spec into a phased execution plan with bite-sized tasks, agent assignments, and gate criteria — the contract /ai-build executes. Trigger for 'break this down', 'create a plan', 'what tasks do we need', 'lets start implementing', 'scope changed re-plan'. Hard gate: user approves before /ai-build can run. Not for ambiguous requirements; use /ai-brainstorm instead. Not for execution; use /ai-build instead.

ai-postmortem

arcasilesgroup/ai-engineering

Documents production incidents, outages, degradations, and near-misses using the DERP format (Detection, Escalation, Recovery, Prevention) with targeted interview questions per phase. Trigger for 'we had an incident', 'write up the outage', 'something went wrong in prod', 'postmortem', 'near-miss analysis', 'incident report'. Not for customer support investigations; use /ai-support instead. Not for internal dev bugs; use /ai-debug instead.

ai-pr

arcasilesgroup/ai-engineering

Creates and updates pull requests with governance: runs the commit pipeline, enforces pre-push gates, generates structured PR body from spec, watches and fixes CI until merged. Trigger for 'open a PR', 'submit this for review', 'I am ready for review', 'merge this into main', 'draft PR', 'update the PR'. Not for commit-only flows; use /ai-commit instead. Not for narrative review; use /ai-review instead.

ai-pricing

tech-leads-club/agent-skills

When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software architecture.

ai-product-canvas

mohitagw15856/pm-claude-skills

Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.

ai-prompt-engineering-safety-review

github/awesome-copilot

'Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.'

ai-prompt-tune

arcasilesgroup/ai-engineering

Optimizes prompts, system messages, and skill descriptions using explicit-over-implicit, show-do-not-tell, and rationale-embedding techniques. Trigger for 'this prompt is not working', 'optimize this skill description', 'improve triggering', 'rewrite this instruction', 'CSO-optimize'. Pass `--skill name` to optimize any skill's description field. Not for creating new skills; use /ai-scaffold instead. Not for evolving the entire skill body; use /ai-skill-improve instead.

ai-prose

arcasilesgroup/ai-engineering

Writes content (blog posts, pitch decks, sprint review summaries, architecture board reports, solution intent documents) with automatic audience targeting (developer/manager/executive). Trigger for 'write a blog post', 'pitch this', 'sprint review summary', 'architecture board doc', 'solution intent for'. Not for documentation artifacts like CHANGELOG or README; use /ai-docs instead. Not for marketing/social content; use /ai-marketing instead. Not for code-level explanations; use /ai-explain instead.

ai-readiness

anthropics/financial-services

Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual planning, or when deciding which companies get AI investment first. Triggers on "AI readiness", "AI opportunity scan", "where should we deploy AI", "AI across the portfolio", "AI quick wins", or "which portcos are ready for AI".

ai-readiness-assessment

OneWave-AI/claude-skills

Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.

ai-ready

github/awesome-copilot

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".

ai-regression-testing

affaan-m/ECC

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.

ai-reliability-eval

arcasilesgroup/ai-engineering

Measures AI system reliability over time by defining pass/fail criteria before implementation, running capability checks, and tracking regression via pass@k metrics. Trigger for 'how reliable is this', 'did my changes break anything', 'measure AI performance', 'define success criteria', 'eval this feature', 'check skill regression'. Not for code correctness; use /ai-test instead. Not for quality gates; use /ai-verify instead — evals measure AI task completion consistency.

ai-research

arcasilesgroup/ai-engineering

External evidence with citations via a 4-tier escalation (local → free MCPs → web/Exa → NotebookLM autonomous deep research, launched first / harvested last). Every claim sourced [N] or marked [unsourced]; output ends with 3 cited recommended directions. Trigger for 'what does the state of the art say about', 'compare options for', 'find sources on', 'investigate this question', 'research this'. Use for questions whose answer lives OUTSIDE the codebase. Not for codebase exploration; use /ai-explore instead. Not for refactors; use /ai-simplify instead. Not for business-logic debugging; use /ai-debug instead.

ai-resolve-conflicts

arcasilesgroup/ai-engineering

Resolves git conflicts intent-aware: categorizes by type (lock files, migrations, generated, config, code), regenerates or merges per category, never blindly accepts. Trigger for 'I have conflicts', 'rebase failed', 'merge conflict', 'cherry-pick failed', 'unmerged paths'. Not for branch hygiene; use /ai-branch-cleanup instead. Not for committing the resolution; use /ai-commit instead.

ai-review

arcasilesgroup/ai-engineering

Reviews code changes with human-quality judgment: PR reviews, file reviews, diff analysis, architecture feedback. Default mode runs the full specialist roster through 3 macro-agents; pass `--full` for one agent per specialist. Trigger for 'review this', 'give me feedback', 'look over my PR', 'any issues with this', 'is this merge-ready'. Not for evidence-backed gates; use /ai-verify instead. Not for narrative writing; use /ai-prose instead.

ai-scaffold

arcasilesgroup/ai-engineering

Creates new ai-engineering skills or agents end-to-end: scaffold, TDD pressure-test, optimize description, register in manifest, sync mirrors. Trigger for 'create a new skill', 'add a slash command', 'the framework needs a capability for', 'build a new agent', 'scaffold a skill for'. Not for evolving existing skills; use /ai-skill-improve instead. Not for description-only optimization; use /ai-prompt-tune instead.

ai-schema

arcasilesgroup/ai-engineering

Designs schemas, plans safe migrations with rollback scripts, optimizes slow queries with index recommendations, defines data retention and GDPR right-to-erasure policies. Supports PostgreSQL, MySQL, SQLite, MongoDB. Trigger for 'add a column', 'we need a migration', 'the query is slow', 'define a retention policy', 'GDPR compliance for data'. Not for application-layer ORMs without DB schema; use /ai-code instead. Not for security audits; use /ai-security instead.

ai-scientist

TerminalSkills/skills

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vercel-labs/ai-sdk

vercel-labs/open-agents

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

TerminalSkills/ai-sdk

TerminalSkills/skills

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openai/ai-sdk

openai/plugins

Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.

ai-sdr

tech-leads-club/agent-skills

When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, code review, or software architecture.

ai-security

alirezarezvani/claude-skills

Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.

ai-seo

tech-leads-club/agent-skills

When the user wants to build programmatic SEO with AI, create competitor alternative pages, optimize for AI Overviews, or scale content production. Also use when the user mentions 'SEO,' 'programmatic SEO,' 'AI content,' 'competitor alternative pages,' 'AI Overviews,' 'search optimization,' 'DataForSEO,' 'content at scale,' 'keyword strategy,' or 'organic traffic.' This skill covers AI-powered SEO strategy from keyword research through programmatic page generation. Do NOT use for technical implementation, code review, or software architecture.

ai-seo

coreyhaines31/marketingskills

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' or 'agent-readable site.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.

ai-seo-v2

diegosouzapw/awesome-omni-skills

AI SEO workflow skill. Use this skill when the user needs Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-seo-v3

diegosouzapw/awesome-omni-skills

AI SEO workflow skill. Use this skill when the user needs Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

ai-session-watch

arcasilesgroup/ai-engineering

Observes session corrections, recoveries, and workflow patterns silently, then consolidates them into project-local observations on demand. Trigger for 'start observing', 'learn from this session', 'consolidate observations', 'review what was learned', 'observe this session'. Listening mode is passive; review mode extracts and writes. Not for cross-project learning; use /ai-learn instead. Not for skill rewrites; use /ai-skill-improve instead.

ai-shaped-readiness-advisor

deanpeters/Product-Manager-Skills

Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.

ai-simplify

arcasilesgroup/ai-engineering

On-demand code simplification — guard clauses, method extraction, nesting flattening, dead code removal, conditional simplification. Behavior preserved; tests pass after every change. Scoped to operator-chosen files or current diff. No PR, no auto-commit. Trigger for 'simplify this file', 'reduce complexity here', 'clean up the in-flight diff', 'flatten this nesting'. Not for scheduled repo-wide sweeps — use /ai-simplify-sweep. Not for structural changes (file moves, renames) — use /ai-refactor.

ai-simplify-sweep

arcasilesgroup/ai-engineering

Sweeps stale code complexity weekly via a scheduled /ai-simplify wrapper, gates the diff, and opens a draft PR for human review. Trigger for 'weekly simplify sweep', 'scheduled simplification', 'simplification sweep', 'simplify pass'. Never auto-merges. Not for in-flight feature work; use /ai-simplify instead. Not for security cleanup; use /ai-security instead.

ai-skill-improve

arcasilesgroup/ai-engineering

Improves an existing skill based on real project pain (prior eval corpora under .ai-engineering/evals/, Engram cross-session observations, LESSONS.md, decision-store, instincts, proposals) by analysing the failure pattern, rewriting SKILL.md, and emitting the proposed delta as a PR comment only — no auto-merge. Trigger for 'improve this skill', 'improve /ai-plan', 'make /ai-review better', 'optimize all skills', 'batch improve skills'. Accepts a single skill name or 'all' for batch mode. Not for creating new skills from scratch; use /ai-scaffold instead. Not for platform audit; use /ai-ide-audit instead.

ai-slides

TerminalSkills/skills

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ai-spec-draft

arcasilesgroup/ai-engineering

Produces a 14-section spec brief in `.ai-engineering/specs/drafts/<topic>-brief.md` so an operator can hand off a fully-researched problem statement to `/ai-brainstorm`. Trigger for 'draft a spec brief', 'put together a one-pager for this idea', 'research and write up the problem before brainstorming', 'capture the diagnostic for this work'. Not for executing the spec (use /ai-brainstorm → /ai-plan → /ai-build); not for ad-hoc notes (use /ai-note).

ai-sprint

arcasilesgroup/ai-engineering

Manages sprint lifecycle: plans a new sprint from backlog, runs data-driven retros comparing planned vs shipped, checks mid-sprint goal status, generates sprint review presentations. Works with GitHub Projects and Azure DevOps. Trigger for 'start sprint planning', 'kick off the sprint', 'lets do the retro', 'what did we deliver last sprint', 'sprint goals check', 'generate the sprint review deck'. Not for daily standup; use /ai-standup instead. Not for solo PR retro; use /ai-learn instead.

ai-standup

arcasilesgroup/ai-engineering

Generates standup notes and status updates from actual git commits and PRs — never reconstructed from memory. Trigger for 'write my standup', 'what did I do today', 'what did I ship this week', 'status update', 'handoff notes', 'end of day summary'. Not for pitch or blog content; use /ai-prose instead. Not for sprint retrospectives; use /ai-sprint instead.

ai-start

arcasilesgroup/ai-engineering

Bootstraps a coding session: loads project context and displays a welcome dashboard with recent activity, board items, and available commands. Trigger for 'hello', 'lets start', 'good morning', 'whats the status', 'get me up to speed', 'I am back'. Also invokable mid-session to re-bootstrap. Not for human onboarding; use /ai-onboard instead. Not for governance review; use /ai-governance instead.

ai-storyboard-2x2

guia-matthieu/clawfu-skills

"Créez des storyboards visuellement cohérents en utilisant la technique des 2x2 Grid Shots de PJ Ace, garantissant éclairage, personnages et décors uniformes entre les plans. Use when: **Après avoir finalisé un script vidéo** - Transformer le concept en visuels; **Besoin de cohérence visuelle** - Personnages et éclairage constants entre les plans; **Préparer des assets pour animation** - Frames prêtes pour Veo, Runway, Kling; **Présenter un storyboard client** - Visualisation avant production;..."

ai-support

arcasilesgroup/ai-engineering

Investigates customer-reported issues with structure: reproduces, traces to code, documents resolution, builds a searchable knowledge base organized by ticket ID. Trigger for 'a user is reporting that', 'customer complaint', 'support ticket', 'investigate this bug report', 'search past support cases'. Not for production incidents; use /ai-postmortem instead. Not for internal dev bugs; use /ai-debug instead.

ai-team-orchestration

github/awesome-copilot

Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.

ai-test

arcasilesgroup/ai-engineering

Writes tests, enforces TDD (RED-GREEN-REFACTOR), analyzes coverage gaps, defines test strategy across Python, TypeScript, .NET, Rust, Go. Trigger for 'add tests for', 'write a test', 'I need 80 percent coverage', 'plan my test approach', 'TDD this'. Not for failing tests where the fix is unclear; use /ai-debug instead. Not for AI reliability over time; use /ai-reliability-eval instead.

ai-tool-handoff

anthropics/claude-for-legal

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ai-ugc-ads

tech-leads-club/agent-skills

When the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content. Also use when the user mentions 'UGC,' 'user-generated content,' 'creator ads,' 'Spark Ads,' 'whitelisting,' 'AI UGC,' 'Arcads,' 'Creatify,' 'creator brief,' or 'UGC testing.' This skill covers the UGC growth framework from creator recruitment through AI-powered scaling. Do NOT use for technical implementation, code review, or software architecture.

ai-ui-generation

yonatangross/orchestkit

AI-assisted UI generation patterns for json-render, v0, Bolt, and Cursor workflows. Covers prompt engineering for component generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.

ai-verify

arcasilesgroup/ai-engineering

Use when verification with evidence is needed — not assumptions. Trigger for 'check my code', 'is this ready to merge', 'run the tests', 'is coverage good enough', 'scan for security issues', 'does this meet our standards', 'prove it works', 'is this ready to ship', 'run the release checks', 'pre-release checklist', 'GO/NO-GO'. Runs 2 specialists post-W3 (deterministic, acceptance) with `normal` implicit and `--full` explicit; the `--release` mode flag aggregates 8-dimension release readiness (coverage, security, tests, lint, dependencies, types, docs, packaging) and emits GO/CONDITIONAL GO/NO-GO. For narrative code review with human judgment, use /ai-review instead.

ai-video-concept

guia-matthieu/clawfu-skills

"Développez une idée créative et structurez un script vidéo optimisé pour la génération IA, en suivant la méthode des scènes de 8 secondes de PJ Ace. Use when: **Démarrer une publicité vidéo IA** - Transformer une idée brute en script structuré; **Créer du contenu vidéo pour les réseaux sociaux** - TikTok, Reels, YouTube Shorts; **Développer un concept de campagne** - Avant de passer au storyboard; **Pitcher une idée vidéo** - Présenter un concept à un client ou une équipe; **Adapter un messag..."