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Library Skill.md library

Skill.md files: teach Claude once, not every chat.

Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.

All Skill.md files

274991 Skill.md files

Skill.md
agents-v2-py/
  • SKILL.md
---
name: agents-v2-py
description: Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
---

agents-v2-py

sickn33

Skill.md
agenttrace-session-audit/
  • SKILL.md
---
name: agenttrace-session-audit
description: Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.
---
Skill.md
agy-delegate/
  • SKILL.md
---
name: agy-delegate
description: Delegate coding tasks to the Google Antigravity CLI (`agy`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
---

agy-delegate

sickn33

Skill.md
ai-agent-development/
  • SKILL.md
---
name: ai-agent-development
description: AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
---
Skill.md
ai-agent-security/
  • SKILL.md
---
name: ai-agent-security
description: Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls.
---

ai-agent-security

sickn33

Skill.md
ai-agents-architect/
  • SKILL.md
---
name: ai-agents-architect
description: Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
---

ai-agents-architect

sickn33

Skill.md
ai-analyzer/
  • SKILL.md
---
name: ai-analyzer
description: AI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
---

ai-analyzer

sickn33

Skill.md
ai-coding-agent-guardrails/
  • SKILL.md
---
name: ai-coding-agent-guardrails
description: Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
---
Skill.md
ai-dev-jobs-mcp/
  • SKILL.md
---
name: ai-dev-jobs-mcp
description: 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
---

ai-dev-jobs-mcp

sickn33

Skill.md
ai-engineer/
  • SKILL.md
---
name: ai-engineer
description: Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
---

ai-engineer

sickn33

Skill.md
ai-engineering-toolkit/
  • SKILL.md
---
name: ai-engineering-toolkit
description: 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.
---
Skill.md
ai-inference-service-mesh/
  • SKILL.md
---
name: ai-inference-service-mesh
description: Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
---
Skill.md
ai-loop/
  • SKILL.md
---
name: ai-loop
description: Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.
---

ai-loop

sickn33

Skill.md
ai-md/
  • SKILL.md
---
name: ai-md
description: Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
---

ai-md

sickn33

Skill.md
ai-ml/
  • SKILL.md
---
name: ai-ml
description: AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
---

ai-ml

sickn33

Skill.md
ai-native-cli/
  • SKILL.md
---
name: ai-native-cli
description: 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.
---

ai-native-cli

sickn33

Skill.md
ai-pipeline-orchestration/
  • SKILL.md
---
name: ai-pipeline-orchestration
description: Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.
---
Skill.md
ai-product/
  • SKILL.md
---
name: ai-product
description: Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
---

ai-product

sickn33

Skill.md
ai-seo/
  • SKILL.md
---
name: ai-seo
description: 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.
---

ai-seo

sickn33

Skill.md
ai-sre-incident-response/
  • SKILL.md
---
name: ai-sre-incident-response
description: Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
---
Skill.md
ai-studio-image/
  • SKILL.md
---
name: ai-studio-image
description: Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
---

ai-studio-image

sickn33

Skill.md
ai-wrapper-product/
  • SKILL.md
---
name: ai-wrapper-product
description: Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific problems with AI.
---

ai-wrapper-product

sickn33

Skill.md
aider-delegate/
  • SKILL.md
---
name: aider-delegate
description: Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
---

aider-delegate

sickn33

Skill.md
airflow-dag-patterns/
  • SKILL.md
---
name: airflow-dag-patterns
description: Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
---