Browse Skills — Page 158

python-backend

yonatangross/orchestkit

Python backend patterns for asyncio, FastAPI, SQLAlchemy 2.0 async, and connection pooling. Use when building async Python services, FastAPI endpoints, database sessions, or connection pool tuning.

python-background-jobs

wshobson/agents

Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

python-code-style

wshobson/agents

Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.

python-configuration

wshobson/agents

Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.

python-data-classes

TheBushidoCollective/han

Use when Python data modeling with dataclasses, attrs, and Pydantic. Use when creating data structures and models.

python-debugpy

openclaw/openclaw

Debug Python with pdb, breakpoint(), post-mortem inspection, and debugpy remote attach.

python-design-patterns

wshobson/agents

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.

python-development

Community-Access/accessibility-agents

Python and wxPython development reference patterns, common pitfalls, framework-specific guides, desktop accessibility APIs, and cross-platform considerations. Use when building, debugging, packaging, or reviewing Python desktop applications.

python-development-python-scaffold

diegosouzapw/awesome-omni-skills

Python Project Scaffolding workflow skill. Use this skill when the user needs You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-development-python-scaffold-v2

diegosouzapw/awesome-omni-skills

Python Project Scaffolding workflow skill. Use this skill when the user needs You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-error-handling

wshobson/agents

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

python-fastapi-development

diegosouzapw/awesome-omni-skills

Python/FastAPI Development Workflow workflow skill. Use this skill when the user needs Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-fastapi-development-v2

diegosouzapw/awesome-omni-skills

Python/FastAPI Development Workflow workflow skill. Use this skill when the user needs Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-logging-best-practices

terrylica/cc-skills

Python logging with loguru, structlog, and orjson. TRIGGERS - loguru, structlog, structured logging

python-mcp-server-generator

github/awesome-copilot

'Generate a complete MCP server project in Python with tools, resources, and proper configuration'

python-memory-safe-scripts

terrylica/cc-skills

>-

python-observability

wshobson/agents

Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.

python-packaging

wshobson/agents

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

python-packaging

diegosouzapw/awesome-omni-skills

Python Packaging workflow skill. Use this skill when the user needs Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-packaging-v2

diegosouzapw/awesome-omni-skills

Python Packaging workflow skill. Use this skill when the user needs Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-parallelization

elizaOS/eliza

Transform sequential Python code into parallel/concurrent implementations. Use when asked to parallelize Python code, improve code performance through concurrency, convert loops to parallel execution, or identify parallelization opportunities. Handles CPU-bound (multiprocessing), I/O-bound (asyncio, threading), and data-parallel (vectorization) scenarios.

python-patterns

affaan-m/ECC

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

python-patterns-v2

diegosouzapw/awesome-omni-skills

Python Patterns workflow skill. Use this skill when the user needs Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-patterns-v3

diegosouzapw/awesome-omni-skills

Python Patterns workflow skill. Use this skill when the user needs Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-performance-optimization

wshobson/agents

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

python-performance-optimization

diegosouzapw/awesome-omni-skills

Python Performance Optimization workflow skill. Use this skill when the user needs Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-performance-optimization-v2

diegosouzapw/awesome-omni-skills

Python Performance Optimization workflow skill. Use this skill when the user needs Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pptx-generator

diegosouzapw/awesome-omni-skills

Python PPTX Generator workflow skill. Use this skill when the user needs Generate complete Python scripts that build polished PowerPoint decks with python-pptx and real slide content and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pptx-generator-v2

diegosouzapw/awesome-omni-skills

Python PPTX Generator workflow skill. Use this skill when the user needs Generate complete Python scripts that build polished PowerPoint decks with python-pptx and real slide content and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pro

diegosouzapw/awesome-omni-skills

python-pro workflow skill. Use this skill when the user needs Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pro-v2

diegosouzapw/awesome-omni-skills

python-pro workflow skill. Use this skill when the user needs Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-pro-v3

diegosouzapw/awesome-omni-skills

python-pro workflow skill. Use this skill when the user needs Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-project-structure

wshobson/agents

Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.

python-prototype-pollution

wgpsec/AboutSecurity

Python 原型链污染（属性注入/Class Pollution）检测与利用。当目标为 Python Web 应用（Flask/Sanic/Django/FastAPI）且存在递归合并(merge)、深度属性设置(pydash.set_)、JSON 配置更新接口时使用。覆盖污染入口识别、__globals__链构造、Flask SECRET_KEY/Jinja2定界符/searchpath污染、pydash路径过滤绕过、Sanic污染链、RCE/文件读取/权限提升利用

python-pypi-package-builder

github/awesome-copilot

'End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.'

python-quality-gate

notque/vexjoy-agent

Python quality checks: ruff, pytest, mypy, bandit in deterministic order.

python-resilience

wshobson/agents

Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.

python-resource-management

wshobson/agents

Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.

python-testing

affaan-m/ECC

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

python-testing-patterns

wshobson/agents

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

python-testing-patterns

diegosouzapw/awesome-omni-skills

Python Testing Patterns workflow skill. Use this skill when the user needs Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-testing-patterns-v2

diegosouzapw/awesome-omni-skills

Python Testing Patterns workflow skill. Use this skill when the user needs Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-testing-patterns-v3

diegosouzapw/awesome-omni-skills

Python Testing Patterns workflow skill. Use this skill when the user needs Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

python-type-safety

wshobson/agents

Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.

python-type-system

TheBushidoCollective/han

Use when Python's type system including type hints, mypy, Protocol, TypedDict, and Generics. Use when working with Python type annotations.

python-web-debug

wgpsec/AboutSecurity

Python Web 框架 Debug 模式利用。当目标是 Flask/Django/FastAPI/Tornado 应用且开启了 Debug 模式时使用。当看到 Werkzeug Debugger 页面（交互式 Python console）、Django 黄色调试页面（Settings/Traceback）、FastAPI 自动文档(/docs /redoc)、或错误页面泄露了 Python 堆栈跟踪和源码路径时使用。Werkzeug debugger PIN 计算是 CTF 和实战中的经典考点——通过读取 /etc/machine-id 和 MAC 地址即可算出 PIN 码获取 RCE。任何 Python Web 应用的错误页面、/console 路径、或泄露了 Flask/Django/Werkzeug 版本信息时都应使用此 skill

python-workspace

terrylica/cc-skills

Python workspace for MQL5 integration. TRIGGERS - MetaTrader 5 Python, mt5 package, MQL5-Python setup.

pytorch

TerminalSkills/skills

>-

pytorch-fsdp

NousResearch/hermes-agent

Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2

pytorch-fsdp2

Orchestra-Research/AI-Research-SKILLs

Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.

pytorch-lightning

NousResearch/hermes-agent

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

pytorch-patterns

affaan-m/ECC

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

pyvene-interventions

Orchestra-Research/AI-Research-SKILLs

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

pyzotero

K-Dense-AI/scientific-agent-skills

Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.

q-and-a-prep-partner

aipoch/medical-research-skills

Predict challenging questions for presentations and prepare structured responses.

qa

SethGammon/Citadel

>-

qa

browser-use/plugins

QA-test a website or web app and return a 1-5 quality score (5 = flawless, 1 = broken) with evidence. Use when the user wants to test, QA, evaluate, score, or "check how good" a site, page, flow, or app — including a local dev server (e.g. "qa test localhost:5173", "does the checkout work?", "rate this landing page"). Drives a real Browser Use cloud browser, tunneling localhost automatically.

qa-expert

daymade/claude-code-skills

This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.

qa-phase

popup-studio-ai/bkit-claude-code

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qbr-deck

mohitagw15856/pm-claude-skills

Build a Quarterly Business Review (QBR) deck structure and narrative for a customer account. Use when asked to prepare a QBR, business review meeting, executive review, or quarterly check-in with a customer. Produces a slide-by-slide QBR structure with talking points, metrics review, value narrative, and mutual next steps.

qbr-plan

indranilbanerjee/digital-marketing-pro

Prepare a Quarterly Business Review. Use when: building QBR presentations, client performance reviews, or strategy updates.

qbr-preparation

guia-matthieu/clawfu-skills

Automate QBR preparation with account summaries, success metrics, challenges, and strategic recommendations

qdrant

mkurman/zorai

Qdrant — vector similarity search engine. Payload filtering, quantized indexing, multi-tenant, and horizontal scaling. REST and gRPC API. Docker-native deployment for production RAG and recommendation.

qdrant-clients-sdk

github/awesome-copilot

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

qdrant-deployment-options

github/awesome-copilot

Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.

qdrant-horizontal-scaling

github/awesome-copilot

Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.

qdrant-indexing-performance-optimization

github/awesome-copilot

Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.

qdrant-memory-usage-optimization

github/awesome-copilot

Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how to reduce RAM?'. Also use when memory doesn't match calculations, quantization didn't help, or nodes crash during recovery.

qdrant-minimize-latency

github/awesome-copilot

Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.

qdrant-model-migration

github/awesome-copilot

Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.

qdrant-monitoring

github/awesome-copilot

Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.

qdrant-monitoring-debugging

github/awesome-copilot

Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's slow'. Also use when performance degrades without obvious config changes.

qdrant-monitoring-setup

github/awesome-copilot

Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set', 'how to centralize logs', or 'audit logging'.

qdrant-performance-optimization

github/awesome-copilot

Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.

qdrant-scaling

github/awesome-copilot

Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.

qdrant-scaling-data-volume

github/awesome-copilot

Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.

qdrant-scaling-qps

github/awesome-copilot

Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.

qdrant-scaling-query-volume

github/awesome-copilot

Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.

qdrant-search-quality

github/awesome-copilot

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.

qdrant-search-quality-diagnosis

github/awesome-copilot

Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', or 'quality dropped after quantization'. Also use when search quality degrades without obvious changes.

qdrant-search-speed-optimization

github/awesome-copilot

Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growth.

qdrant-search-strategies

github/awesome-copilot

Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'BM25 or sparse vectors?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevance feedback', 'recommendation API', 'discovery API', 'ColBERT reranking', or 'missing keyword matches'

qdrant-sliding-time-window

github/awesome-copilot

Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media feed search', 'news search', 'log search with retention', or 'how to keep only last N months of data'.

qdrant-tenant-scaling

github/awesome-copilot

Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use when multi-tenant workloads outgrow shared infrastructure.

qdrant-vector-search

NousResearch/hermes-agent

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

qdrant-version-upgrade

github/awesome-copilot

Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.

qdrant-vertical-scaling

github/awesome-copilot

Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.

qiita

vm0-ai/vm0-skills

Qiita API for Japanese tech articles. Use when user mentions "Qiita",

qiskit

K-Dense-AI/scientific-agent-skills

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.

qiskit-v2

diegosouzapw/awesome-omni-skills

Qiskit workflow skill. Use this skill when the user needs Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

qmd

NousResearch/hermes-agent

Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.

qmd-extended

aAAaqwq/AGI-Super-Team

Extended QMD knowledge base with multi-backend embedding (Google AI Studio / Ollama / local). Use when managing QMD embeddings, switching backends, testing embedding quality, re-indexing, or troubleshooting QMD vector search. Triggers on "qmd embed", "embedding backend", "切换embedding", "embedding测试", "re-embed", "知识库embedding", "qmd扩展". For general QMD queries and knowledge retrieval, use memory-router skill instead.

qmd-knowledge

jellydn/my-ai-tools

Project-specific knowledge management system using qmd MCP server. Captures learnings, issue notes, and conventions in a searchable knowledge base.

qms-audit-expert

alirezarezvani/claude-skills

ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use when planning internal audits, executing audits, classifying findings, preparing for external audits, or managing an audit program.

qp-formulation

NVIDIA/skills

Quadratic Programming (QP) — problem form and constraints. Domain concepts; no API or interface. QP is beta.

qq-email-operator

aAAaqwq/AGI-Super-Team

QQ邮箱操作技能。支持通过 IMAP/SMTP 读取邮件、搜索邮件、回复邮件、发送邮件。凭据通过 pass 安全存储。

qqbot-channel

openclaw/openclaw

QQ channel management skill. Use qqbot_channel_api to list guilds and channels, inspect members, publish posts, manage announcements, and work with schedules through the QQ Open Platform HTTP API with automatic token authentication.

qqbot-media

openclaw/openclaw

QQBot rich media send and receive support. Use <qqmedia> tags to send image, voice, video, or file attachments, with the media type inferred from the file extension.

qqbot-remind

openclaw/openclaw

QQBot scheduled reminders. Create, list, and cancel one-time or recurring reminders when a QQ conversation involves reminders, alarms, or scheduled tasks.

qr-code-generator

manojbajaj95/claude-gtm-plugin

Generate QR codes with URLs and UTM tracking. Exports PNG/SVG with captions. Use for single codes, batch generation, or marketing campaigns with tracking parameters.