Agents
AI agents and automation
github-actions
by poindexter12
GitHub Actions CI/CD reference for workflow templates, caching strategies, and automation patterns. Includes homelab integration with self-hosted runners. Use when creating workflows, debugging CI failures, or setting up deployments. Triggers: github actions, ci, cd, workflow, pipeline, runner, artifact.
wfc-implement
by sam-fakhreddine
Orchestrates PARALLEL execution of an existing TASKS.md implementation plan using isolated git worktrees. STRICT REQUIREMENTS: (1) TASKS.md file exists with 2+ parseable tasks, (2) valid non-bare git repo with clean working directory, (3) user intent is purely EXECUTION of existing plan. FLOW: Validates TASKS.md -> Creates worktrees -> Spawns one agent per task -> Requests TDD workflow -> Runs mocked review -> Creates GitHub PRs targeting develop branch. TRIGGERS: /wfc-implement, "run the plan", "execute TASKS.md", "implement the tasks in TASKS.md". PREREQUISITE: Run /wfc-plan first. This skill requires TASKS.md to exist. NOT FOR: missing TASKS.md (use wfc-plan), single-task runs, inline task lists, plan-then-implement requests, cyclic dependencies, dirty repos, main-branch targets, security-sensitive work.
agent-creator
by basher83
This skill should be used when the user asks to "create an agent", "write a subagent", "generate agent definition", "add agent to plugin", "write agent frontmatter", "create autonomous agent", "build subagent", needs agent structure guidance, YAML frontmatter configuration, invocation criteria with examples, or wants to add specialized subagents to Claude Code plugins with proper capabilities lists and tool access definitions.
wfc-agentic
by sam-fakhreddine
Generates Markdown-based .gh-aw.md workflow files for the gh-aw CLI extension, specifically for AI-driven automation compiled via gh aw compile. Invoke when: User explicitly requests "gh-aw", ".gh-aw.md" files, "safe-outputs", or mentions gh aw compile. Also triggers on: "create an agentic workflow for GitHub" when context implies AI agent execution (Copilot, Claude) rather than standard CI/CD. Format: Markdown files with YAML frontmatter defining triggers, permissions, tools, and safe-outputs. The agent prompt (natural language instructions) is written in the Markdown body. Output is consumed by gh aw compile to generate a lock file.
ai-native-development
by ArieGoldkin
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
claude-extensibility
by samhvw8
"Claude Code extensibility: agents, skills, output styles. Capabilities: create/update/delete agents and skills, YAML frontmatter, system prompts, tool/model selection, resumable agents, CLI-defined agents. Actions: create, edit, delete, optimize, test extensions. Keywords: agent, skill, output-style, SKILL.md, subagent, Task tool, progressive disclosure. Use when: creating agents/skills, editing extensions, configuring tool access, choosing models, testing activation."
google-adk-python
by samhvw8
"Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows."
sp1
by hairyf
SP1 zkVM—prove arbitrary Rust (RISC-V) programs with the SDK, CLI, recursion, and precompiles.
how-to-write-rulebooks
by stakpak
A practical, step-by-step guide that standardizes how to author, structure and publish rulebooks in Stakpak. It covers metadata creation, goal articulation, workflow design, reference inclusion and best-practice guidelines.
context-optimization
by ken-cavanagh-glean
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
swarm
by Chair4ce
Cut your LLM costs by 200x. Offload parallel, batch, and research work to Gemini Flash workers instead of burning your expensive primary model.
context
by dengineproblem
Получение контекста пользователя и credentials
writing-skills
by atxinsky
Use when creating new skills, editing existing skills, or verifying skills work before deployment
agent-memory-skills
by kimasplund
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Claw Browser skill
by SarveshPatkr
Use --id or --selector for precise clicks
mtls-configuration
by EngineerWithAI
Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.
skill-system-workflow
by arthur0824hao
"Dynamic orchestration engine that plans multi-step agent work as DAGs with Mermaid visualization."
context
by dengineproblem
Получение контекста пользователя и credentials
project-development
by ken-cavanagh-glean
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
usage-limits
by dengineproblem
Проверка лимитов затрат для Telegram пользователей
agentlint
by cjavdev
"Audit any website for AI/agent-friendliness using AgentLint. Run npx @cjavdev/agent-lint with a URL to scan a site across 17 rules in 5 categories (transport, structure, tokens, discoverability, agent), get a 0-100 AgentScore with letter grade, and receive a prioritized remediation plan. Use this skill when: auditing a site for AI readiness, checking if a site has llms.txt or markdown support, improving a website's agent-friendliness score, fixing AgentLint violations, or understanding what makes a site AI-friendly. Trigger phrases: 'run agentlint', 'audit site for AI', 'check agent-friendliness', 'agentlint scan', 'AI-friendly audit', 'check llms.txt', 'agent readiness'."
skill-system-evolution
by arthur0824hao
"Version-controlled evolution engine that uses accumulated insight results to evolve soul profiles and workflow recipes with auditability, safety constraints, and rollbacks."
context-fundamentals
by ken-cavanagh-glean
Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.
n8n-v2
by splinesreticulating
Comprehensive n8n v2.0 reference for building workflow automation. Use this skill when working with n8n workflows, especially for (1) creating workflow JSON files for import, (2) implementing human-in-the-loop approval workflows with Wait nodes, (3) troubleshooting Execute Sub-Workflow node issues, (4) setting up API credentials (LinkedIn, Anthropic, NewsAPI), (5) building orchestrator patterns with sub-workflows, (6) using expressions in nodes, (7) understanding MCP server limitations, or (8) any n8n workflow development task.