Loading...
Loading...
Found 1,577 Skills
Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini APIs.
Retrieval-augmented generation (RAG) skill for the D&D 5e System Reference Document (SRD). Use when answering questions about D&D 5e core rules, spells, combat, equipment, conditions, monsters, and other SRD content. This skill provides agentic search-based access to the SRD split into page-range markdown files.
Executes all test suites and reports results with coverage
Expert guidance for unix-goto shell navigation tool development, including architecture, 9-step feature workflow, testing (100% coverage), performance optimization (<100ms targets), and Linear issue integration
Automates unit test creation for Go projects using the standard testing package with consistent software testing patterns including In-Got-Want, Table-Driven Testing, and AAA patterns. Use when creating, modifying, or reviewing unit tests, or when the user mentions unit tests, test coverage, or Go testing.
Best practices for Claude Code performance optimization, context management, storage cleanup, and troubleshooting slowdowns
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
Enforces minimum quality thresholds in CI including code coverage, linting, type checking, and security scanning. Provides required checks, PR rules, and automated enforcement. Use for "quality gates", "CI checks", "code quality", or "PR requirements".
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
Creates comprehensive permission tests ensuring RBAC doesn't regress with test matrices, CI gating, and authorization coverage. Use for "RBAC testing", "permission tests", "authorization testing", or "access control tests".
Cross-session learning system that extracts insights from session transcripts and injects relevant past learnings at session start. Uses simple keyword matching for relevance. Complements DISCOVERIES.md/PATTERNS.md with structured YAML storage.
Pre-ingestion verification for epistemic quality in RAG systems with 9-point verification and Two-Round HITL workflow