Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm
This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts...
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP...
Basic primitives for my Claude Code setup
Use this agent when reviewing code changes to ensure features are agent-native - any action a user can take, an agent ca...
Agent skill for neural-network - invoke with $agent-neural-network
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and s...
Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly,...
LLMs Agent
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contr...
Systematically deconstruct written content into verifiable claims, validate each using search/documentation, and facilit...
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investiga...
Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB...
Language-aware build orchestration that detects project language and runs appropriate build pipeline
Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github
A senior code-review agent that produces critical, thorough, constructive, and evidence-based reviews. Works as a sub-ag...
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs...
Create/update .agent/constitution.md. Use when commands/boundaries/constraints must be confirmed before baseline or code...
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and bes...
Create new AgentOps skills via interactive interview. Supports from-scratch and clone modes with tiered complexity.
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents optio...
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and desi...
Systematic debugging approaches for isolating and fixing software defects. Use when something isn't working and the caus...
Dependency management, updates, and security advisory handling. Use when adding, updating, or auditing project dependenc...
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues...
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating p...
Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based ba...
Manage git operations safely. Includes stale state detection, branch/commit management. Never pushes without explicit us...
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs act...
Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced...
Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.
Bidirectional sync between agent-ops issues and GitHub Issues
Interactive workflow guide. Use when user is unsure what to do next, needs help navigating AgentOps, or wants to underst...
Comprehensive project hygiene: archive issues, validate schema, clean clutter, align docs, check git, update ignores.
Capture loosely structured ideas, enrich with research, and create backlog issues. Use when user has a raw concept that...
Extract, plan, or propose implementation details at configurable depth levels (low/normal/extensive). Outputs to referen...
Implement only after a validated/approved plan. Use for coding: small diffs, frequent tests, no refactors, stop on ambig...
You are a senior engineering analyst tasked with identifying concrete, justified improvements to the codebase that are a...
Install AgentOps into a new or existing project. Handles .agent/ setup and .github/ merging.
Conduct structured interviews with the user. Use when multiple decisions need user input: ask ONE question at a time, wa...
---name: agent-ops-lint-instructionsdescription: "Validate and lint AgentOps instruction files (skills, prompts, agents)...
Migrate a project into another, ensuring functionality and validating complete content transfer. Use for monorepo consol...
MkDocs documentation site management: initializing, updating, building, and deploying
Optimize agent instruction files by extracting sections into separate files and referencing them. Reduces context size w...
Transform implementation plans into concise stakeholder-friendly summaries with file change overviews, component listing...
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on...
Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value...
Identify and map different sections of a software project (API, frontend, database, CLI, domain). Use for context scopin...
Ruthlessly audit project features for justification. Challenge every feature to prove its value with evidence or face re...
Aggressive evidence-based audit to verify project claims match implementation reality
Handle failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck. Semi-au...
Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress,...
Conduct structured research on topics, technologies, libraries, patterns, or any subject requiring investigation. Produc...
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent...
Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature de...
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constituti...
Create, refine, and manage issues. Use for creating new issues from loose ideas, refining ambiguous issues, bulk operati...
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test result...
Detect available development tools at session start. Saves to .agent/tools.json and warns about missing required tools....
Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quali...
Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git...
Optimize a document for AI agent consumption. Restructures prose into formats that agents parse efficiently while preser...
Multi-agent task orchestration for Claude Code. When given multiple tasks to execute, use this skill to spawn parallel w...
Coordinate parallel agent execution with context handoff. Use when: (1) task has parallelizable subtasks, (2) need to ex...
Multi-agent coordination patterns for building effective AI teams
Agent Orchestration Rules
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agent...
Coordinate BioETL multi-agent workflow across py-* profiles using the Codex-local orchestration map.
Provides best practices for AI agent orchestration including MCP servers, A2A protocol, multi-agent coordination, and sw...