Browse Skills — Page 117

liquid-glass

openai/plugins

Implement and review macOS SwiftUI Liquid Glass UI. Use when adopting system glass, removing conflicting custom chrome, or building glass surfaces.

liquid-glass-design

affaan-m/ECC

iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.

liquidation-heatmap

HKUDS/Vibe-Trading

Liquidation level analysis and heatmap interpretation — identify leveraged position concentration, liquidation cascades, stop-hunt zones, and use liquidation data as support/resistance signals.

liquiditaet-12-monate

Klotzkette/claude-fuer-deutsches-recht

Erstellt die rollierende Zwoelf-Monats-Liquiditaetsvorschau auf Basis der plausibilisierten Annahmen. Pro Woche oder pro Monat Aufstellung der Einzahlungen und Auszahlungen Anfangsbestand Endbestand Linieverbleib. Pruefung ob in jedem Zeitabschnitt mehr als die geschuldeten Verbindlichkeiten zur Verfuegung stehen. Bezuege zur Zahlungsfaehigkeit nach § 17 InsO (Zehn-Prozent-Schwelle Drei-Wochen-Frist nach BGH IX ZR 123/04). Falls Plugin liquiditaetsplanung installiert — dort die detaillierte Wochenplanung; dieses Plugin uebernimmt die Monatsaggregate.

liquiditaetsvorschau-3-6-12-monate

Klotzkette/claude-fuer-deutsches-recht

Rollierende Liquiditätsvorschau über 13/26/52 Wochen für GmbH/UG/AG. Erstellt zwingend eine Excel-Tabelle nach der hinterlegten Vorlage und auf Wunsch ein interaktives HTML-Padlet oder Markdown-Artefakt, das mit jeder Folgemeldung aktualisiert wird. Wendet das BGH-Schema (BGHZ 217 Rn 129 Passiva II; BGHZ 163 Rn 134 10-%-Schwelle/3-Wochen-Horizont) wochenaktuell zum Freitag an und stellt die Lücke zu den offenen Forderungen ins Verhältnis. Fortführungsprognose § 19 InsO mit IDW S 6/S 11 nur als Hintergrundmaßstab. Memo nur auf ausdrückliche Anfrage.

liquiditaetsvorschau-3wochen

Klotzkette/claude-fuer-deutsches-recht

Wochenaktuelle Drei-Wochen-Liquiditätsvorschau nach § 17 InsO. Erstellt zwingend eine Excel-Tabelle auf Wochenbasis und auf Wunsch ein interaktives HTML-Padlet oder Markdown-Artefakt zur fortlaufenden Pflege. Wendet das BGH-Schema BGHZ 217 Rn 129 (Passiva II) und BGHZ 163 Rn 134 (10-%-Schwelle) an, zeigt die Lücke wochenaktuell zum Freitag und das Verhältnis zu den offenen Forderungen. Memo wird nur auf ausdrückliche Anfrage erstellt.

liquiditaetsvorschau-insolvenzrechtlich

Klotzkette/claude-fuer-deutsches-recht

Erstellt und bewertet die rollierende Liquiditätsvorschau als strukturierte Arbeitsgrundlage für insolvenzrechtliche Tatbestände nach § 17 InsO (Zahlungsunfähigkeit) und § 19 Abs. 2 InsO (Fortbestehensprognose). Lädt, wenn geprüft werden soll, ob/wann Zahlungsunfähigkeit eingetreten ist, eine Liquiditätsbilanz für Gericht oder Insolvenzverwalter erstellt werden soll, oder die 13-Wochen- bzw. 24-Monats-Vorschau nach IDW S 11 zu konstruieren ist.

LiquidPad Launch

aaronjmars/aeon

Emit a LiquidPad token deploy payload through the prefetch/postprocess shim pair. Routes 80% fees to deployer, 15% to LPAD burn, 5% to LIQ buyback, contract-enforced.

List Digest

aaronjmars/aeon

Cross-list narrative resonance + signal-scored top tweets from tracked X lists in the past 24 hours

list-building

extruct-ai/gtm-skills

>

list-connections

microsoft/power-platform-skills

Lists Power Platform connections in the current environment. Use when you need a connection ID before adding a connector to a code app.

list-consistency

MicrosoftDocs/cloud-adoption-framework

Enforces parallel grammatical structure and consistent punctuation in lists. Use when asked to fix list formatting or consistency.

list-dialogs

terrylica/cc-skills

user wants to list all Telegram chats, groups, and channels, see their contacts, find a chat ID, browse conversations, or check account info via.

list-directory

openakita/openakita

List directory contents including files and subdirectories. When you need to explore directory structure, find specific files, or check what exists in a folder.

list-enrichment

extruct-ai/gtm-skills

>

list-exportable-agents

openakita/openakita

List all Agent profiles that can be exported as .akita-agent packages. Shows both system and custom agents.

list-issues-pr-pulse

Soul-Brews-Studio/arra-oracle-skills-cli

Open issues, PRs, and Pulse board in one view. Use when user says "issues", "prs", "pulse", "board", "what is open", or wants to see project status.

list-mcp-servers

openakita/openakita

List all configured MCP servers and their connection status. When you need to check available MCP servers or verify server connections.

list-repo-tasks

terrylica/cc-skills

List mise tasks grouped by namespace with dependency info. TRIGGERS - mise tasks, task list, show tasks, available tasks.

list-scheduled-tasks

openakita/openakita

List all scheduled tasks with their ID, name, type, status, and next execution time. When you need to check existing tasks, find task ID for cancel/update, or verify task creation.

list-segmentation

extruct-ai/gtm-skills

>

list-skills

openakita/openakita

List all installed skills following Agent Skills specification. When you need to check available skills, find skill for a task, or verify skill installation.

list-subs

ComposioHQ/awesome-claude-plugins

List all active skill-bus subscriptions across global and project scopes, showing merge status, insert-level and subscription-level conditions, effective condition stacking, and what would fire for each skill.

list-ub

yogsoth-ai/de-anthropocentric-research-engine

listclean-automation

ComposioHQ/awesome-claude-skills

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

listener-creator

anthropics/claude-agent-sdk-demos

Creates event-driven email listeners that monitor for specific conditions (like urgent emails from boss, newsletters to archive, package tracking) and execute custom actions. Use when user wants to be notified about emails, automatically handle certain emails, or set up email automation workflows.

listennotes-automation

ComposioHQ/awesome-claude-skills

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

lit-review

GRIND-Lab-Core/night_owl_research_agent

Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps. Calls tools/arxiv_fetch.py and tools/semantic_scholar_fetch.py. Writes to output/paper-cache/ and output/LIT_REVIEW_REPORT.md.

lit-synthesizer

aAAaqwq/AGI-Super-Team

Search PubMed and bioRxiv, summarise papers with LLM, build citation graphs, and generate literature review sections.

litbase

aipoch/medical-research-skills

Academic paper reading and research development system for biomedical researchers. Finds papers via Semantic Scholar, reads with structured notes, tracks discussion insights, and synthesizes literature into a Research Foundation Document (RFD) for downstream protocol design skills. 8 commands: /setup /feed /read /discuss /recap /update /sync /propose

litcoin-miner

BankrBot/skills

Mine LITCOIN — a proof-of-comprehension and proof-of-research cryptocurrency on Base. Use when the user wants to mine crypto with AI, earn tokens through reading comprehension or solving optimization problems, stake LITCOIN, open vaults, mint LITCREDIT, manage mining guilds, deploy autonomous agents, or interact with the LITCOIN DeFi protocol.

litellm

TerminalSkills/skills

>-

liteparse

run-llama/benchmark-claude-pdfs

Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally without cloud dependencies.

liteparse-targeted

run-llama/benchmark-claude-pdfs

Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or get text, tables, or specific values out of it — including to answer a question about its contents, look up a figure, extract data, or convert it to text/JSON. Provides fast, local, model-free extraction with no cloud or API key. Reach for this instead of ad-hoc pdftotext/pypdf/textract whenever a question or task references a document file.

literatur-und-quellen

Klotzkette/claude-fuer-deutsches-recht

Pflicht-Literatur und offene Aktualisierungsliste für KI-Nutzungsrichtlinien in Kanzleien: BRAK-Hinweise 12/2024, DAV-Stellungnahme 32/2025, Braegelmann KIR 2024, Braegelmann Kammerton RAK Berlin 07/08-2025, EU-FAQ KI-Kompetenz sowie BNetzA-Hinweise.

Literature Overview

yogsoth-ai/de-anthropocentric-research-engine

Quick landscape scan — discover papers on a topic without full-text reading

Literature Research

yogsoth-ai/de-anthropocentric-research-engine

Deep literature research — raw full text reading and targeted PDF queries for rigorous analysis

Literature Search

yogsoth-ai/de-anthropocentric-research-engine

Medium-depth literature search — read AI-summarized reports for every paper analyzed

literature-close-read

aipoch/medical-research-skills

Produce a structured close-reading report from a paper's full PDF-to-Markdown text (with `## Page XX` pagination and image references) when you need to systematically extract background, research questions, methods, results, limitations, and reproducible experimental details.

literature-experiment-extract

aipoch/medical-research-skills

Extract experimental models, experimental methods, and biomarker information from paper Markdown (typically produced by PDF-to-Markdown tools) when a user provides paper Markdown and needs a structured, evidence-backed summary (1 Markdown + 3 CSVs).

literature-extensive-read

aipoch/medical-research-skills

Rapidly skim and summarize academic papers (default:PDF-to-Markdown full text with `## Page XX` pagination and image references) and output a structured extensive-reading summary in Markdown when you need to quickly understand research questions, methods, key results, conclusions, and decide whether intensive reading is worthwhile.

literature-filtering

aipoch/medical-research-skills

Filter literature by publication year, journal, and predefined screening rules to produce inclusion/exclusion lists; use when conducting preliminary screening or systematic review screening to narrow the literature scope.

literature-management

aipoch/medical-research-skills

Import local literature into a managed library; trigger when you need offline deduplication, tagging, and a searchable index.

literature-review

affaan-m/ECC

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

literature-statistics

aipoch/medical-research-skills

Generate statistics for publication-year and journal distributions from local references or PDFs; use when you need standardized Year/Journal tables and a summary without any network access.

literature-survey

yogsoth-ai/de-anthropocentric-research-engine

Autonomous Literature Survey Campaign — 5 research paradigms (scoping, systematic, deep, narrative, snowball) with quantitative budget enforcement. Selects and executes the right survey paradigm based on research intent.

literatureimages-interpretation

aipoch/medical-research-skills

Interpret figures in academic papers and their captions when the input is a PDF-to-Markdown document with page markers and image links, producing a structured Markdown report for extracting variables, trends, and conclusions.

litigation-analysis

cat-xierluo/legal-skills

诉讼分析工具 - 判决书深度分析，生成上诉/再审决策支持

litigation-update-post

openai/plugins

Writes public-facing litigation updates — blog posts, client alerts, LinkedIn/X posts — on a federal case or legal development. Use to \"write a blog post about…,\" \"draft a client alert on…\"

litreview

alirezarezvani/claude-skills

Academic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain Consensus search.

Live Region Controller

Community-Access/accessibility-agents

Live region and dynamic content announcement specialist. Use when building or reviewing any feature that updates content without a full page reload including search results, filters, notifications, toasts, loading states, AJAX responses, form submission feedback, counters, timers, chat messages, progress indicators, or any content that changes after initial page load. Applies to any web framework or vanilla HTML/CSS/JS.

live-dashboard

indranilbanerjee/digital-marketing-pro

Create live Looker Studio dashboards. Use when: connecting marketing data sources with auto-configured visualizations.

live-preview

SethGammon/Citadel

>-

liveblocks

TerminalSkills/skills

Expert guidance for Liveblocks, the platform for adding real-time collaboration features to web applications. Helps developers implement live cursors, presence indicators, collaborative editing, comments, and notifications using Liveblocks' React hooks and APIs.

livekit

TerminalSkills/skills

>-

livesession-automation

ComposioHQ/awesome-claude-skills

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

lksg-csddd-lieferkettensorgfalt

Klotzkette/claude-fuer-deutsches-recht

Unternehmen ab 1000 Mitarbeitern muss Lieferketten-Sorgfaltspflichten nach LkSG und kuenftig CSDDD erfuellen. LkSG seit 1.1.2023 CSDDD Richtlinie 2024/1760 Phasing ab 2027. Normen LkSG §§ 3 4 8 11 24 CSDDD Art. 1 ff. Pruefraster Anwendungsbereich Sorgfaltspflichten Risikoanalyse Beschwerdemechanismus BAFA-Aufsicht. Output Risikoanalyse-Template Grundsatzerklaerung Beschwerdeverfahren. Abgrenzung zu esg-greenwashing-csrd (Berichtspflicht) und umweltrecht-transaktionen-dd (M&A).

llama-cpp

NousResearch/hermes-agent

llama.cpp local GGUF inference + HF Hub model discovery.

llama-factory

Orchestra-Research/AI-Research-SKILLs

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

llamactl-qa

run-llama/llama-agents

Plan and run a design-QA / "taste test" of llamactl changes against a real backend. Cooperatively builds a small matrix of cases worth eyeballing, runs them against a chosen backend (test environment by default, local kind+tilt for new API contract changes), and writes a design-review report to `thoughts/shared/qa/`. Use this for changes to `llamactl` commands, output formats, auth, or control-plane API contracts. For UI/template smoke tests, use `llamactl_browser_test` instead.

llamafile

TerminalSkills/skills

Expert guidance for llamafile, the tool that packages LLMs into single executable files that run on any OS (Linux, macOS, Windows, FreeBSD) without installation. Helps developers create portable AI applications, run models offline, and distribute LLMs as self-contained binaries with built-in web UI and OpenAI-compatible API.

llamaguard

Orchestra-Research/AI-Research-SKILLs

Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.

llamaindex

Orchestra-Research/AI-Research-SKILLs

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

llamaparse

run-llama/llamaparse-agent-skills

Use this skill when the user asks to parse the content of an unstructured file (PDF, PPTX, DOCX...)

llamaparse-mcp

run-llama/llamaparse-agent-plugins

Skill on how to use the LlamaParse MCP tools

llava

NousResearch/hermes-agent

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

lld-reviewer

TestAny-io/testany-agent-skills

LLD review, Low-Level Design review, 详细设计评审。Use when: 实现前需要审查 LLD 与 PRD/HLD/API Contract/Guardrails 的一致性。

lld-writer

TestAny-io/testany-agent-skills

Write LLD, Low-Level Design, 写详细设计。Use when: PRD/HLD/API Contract 完成后需要写模块设计、接口设计、实现级技术方案。

llm-ai-hunter

H-mmer/pentest-agents

LLM and Agentic AI vulnerability specialist. Covers OWASP LLM Top 10 v2025 (LLM01-LLM10) and OWASP Agentic AI Top 10 (AA-01..AA-10). Dispatcher passes subtype — 'prompt-injection', 'indirect-injection', 'tool-abuse', 'rag-poisoning', 'vector-idor', 'mcp', 'model-server', 'output-handling', or 'ascii-smuggling' — in the task; falls back to inference. Use when a target ships a chatbot, RAG / search-over-docs, AI assistant, MCP server, agentic tool-use plugin, model registry, inference server, or any 'AI feature' that processes attacker-influenceable text or files.

llm-app-patterns

diegosouzapw/awesome-omni-skills

\ud83e\udd16 LLM Application Patterns workflow skill. Use this skill when the user needs Production-ready patterns for building LLM applications, inspired by Dify and industry best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-app-patterns-v2

diegosouzapw/awesome-omni-skills

\ud83e\udd16 LLM Application Patterns workflow skill. Use this skill when the user needs Production-ready patterns for building LLM applications, inspired by Dify and industry best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-app-patterns-v3

diegosouzapw/awesome-omni-skills

\ud83e\udd16 LLM Application Patterns workflow skill. Use this skill when the user needs Production-ready patterns for building LLM applications, inspired by Dify and industry best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-ai-assistant

diegosouzapw/awesome-omni-skills

AI Assistant Development workflow skill. Use this skill when the user needs You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-ai-assistant-v2

diegosouzapw/awesome-omni-skills

AI Assistant Development workflow skill. Use this skill when the user needs You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-langchain-agent

diegosouzapw/awesome-omni-skills

LangChain/LangGraph Agent Development Expert workflow skill. Use this skill when the user needs You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-langchain-agent-v2

diegosouzapw/awesome-omni-skills

LangChain/LangGraph Agent Development Expert workflow skill. Use this skill when the user needs You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-prompt-optimize

diegosouzapw/awesome-omni-skills

Prompt Optimization workflow skill. Use this skill when the user needs You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-prompt-optimize-v2

diegosouzapw/awesome-omni-skills

Prompt Optimization workflow skill. Use this skill when the user needs You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-as-computer

oaustegard/claude-skills

Execute programs on a compiled transformer stack machine where every instruction fetch and memory read is a parabolic attention head. Demonstrates that transformer attention + FF layers can implement a working computer. Use when user mentions "llm-as-computer", "lac", "stack machine", "compiled transformer", "percepta", "parabolic attention", "execute program", or asks to run/trace programs on the transformer executor.

llm-cost-optimizer

alirezarezvani/claude-skills

Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or choosing between models, cost architecture belongs in the conversation. Apply immediately when any of these are true: a system prompt appears that exceeds a few hundred tokens, all requests are hitting the same model, max_tokens is not set, or no per-feature cost logging exists. NOT for RAG pipeline design (use rag-architect). NOT for improving prompt quality or effectiveness (use senior-prompt-engineer).

llm-evaluation

wshobson/agents

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

llm-evaluation

diegosouzapw/awesome-omni-skills

LLM Evaluation workflow skill. Use this skill when the user needs Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-evaluation-v2

diegosouzapw/awesome-omni-skills

LLM Evaluation workflow skill. Use this skill when the user needs Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-icon-finder

daymade/claude-code-skills

Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.

llm-integration

yonatangross/orchestkit

LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.

llm-ops

diegosouzapw/awesome-omni-skills

LLM-OPS -- IA de Producao workflow skill. Use this skill when the user needs LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-ops-v2

diegosouzapw/awesome-omni-skills

LLM-OPS -- IA de Producao workflow skill. Use this skill when the user needs LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-optimized-content

guia-matthieu/clawfu-skills

Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini). Use when SEO alone isn't enough, when you need AI citations, or when optimizing for the "zero-click" future.

llm-patterns

alinaqi/maggy

AI-first application patterns, LLM testing, prompt management

llm-prompt-optimizer

diegosouzapw/awesome-omni-skills

LLM Prompt Optimizer workflow skill. Use this skill when the user needs improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-prompt-optimizer-v2

diegosouzapw/awesome-omni-skills

LLM Prompt Optimizer workflow skill. Use this skill when the user needs improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-seo-readiness

aptos-labs/aptos-docs

>-

llm-structured-output

diegosouzapw/awesome-omni-skills

LLM Structured Output workflow skill. Use this skill when the user needs > and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-structured-output-v2

diegosouzapw/awesome-omni-skills

LLM Structured Output workflow skill. Use this skill when the user needs > and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-trading-agent-security

affaan-m/ECC

Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.

llm-wiki

NousResearch/hermes-agent

Karpathy's LLM Wiki: build/query interlinked markdown KB.

llm-wiki-setup

daymade/claude-code-skills

Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.

lm-evaluation-harness

mkurman/zorai

LLM evaluation framework (EleutherAI lm-evaluation-harness). Unified benchmark evaluation for language models with 200+ tasks, support for HuggingFace transformers, vLLM, SGLang, OpenAI API, GGUF, and custom models. Used by HuggingFace Open LLM Leaderboard. Covers MMLU, HellaSwag, ARC, GSM8K, HumanEval, BBH, TruthfulQA, and more.

lm-studio-subagents

TerminalSkills/skills

>-

lmnt-automation

ComposioHQ/awesome-claude-skills

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