Loading...
Loading...
Found 13,189 Skills
Manage background coding agents in tmux sessions. Spawn Claude Code or other agents, check progress, get results.
Multi-agent quality improvement review with constructive feedback. Provides suggestions for best practices, code quality, alternatives, and performance optimization.
Guide for integrating Vercel AI SDK into Remix apps. Build AI chatbots, text completion, and agents within your Shopify app.
Scaffold a traditional deterministic GitHub Actions CI/CD workflow. Use this when creating build, test, deploy, lint, release, or security scan pipelines. This is distinct from agentic workflows — no AI is involved at runtime.
Practical AI agent workflows and productivity techniques. Provides optimized patterns for daily development tasks such as commands, shortcuts, Git integration, MCP usage, and session management.
Review local git changes from 8 expert perspectives using multi-agent team orchestration. Produces a consolidated report with Critical/Important/Nice-to-have severity levels. Lightweight pre-commit or pre-push quality gate — no PR or branch push required. Use when the user asks to review local changes, check changes before committing, get a team review of working tree changes, or run a pre-commit review. Trigger phrases include "review local", "review my changes", "review local changes", "pre-commit review", "review before commit", "review before push", "team review my changes", "check my changes", "review working tree", "local code review", "review diff", "review my diff".
Create or edit Claude Code skills with expert guidance on structure and best practices
Send and receive emails programmatically using the AgentMail CLI. Use when agents need to manage inboxes, send/receive emails, handle threads, drafts, webhooks, and domains via command line.
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.
Migrate a Java application from the classic Elastic APM Java agent to the EDOT Java agent. Use when switching from elastic-apm-agent.jar to elastic-otel-javaagent.jar.
Set up or log in to Karma. Use when user says "set up agent", "configure API key", "connect to Karma", "login to Karma", "log in", or before first use of any Karma skill.
Build apps that integrate with external services via Membrane. Use when the user wants to add integrations to their product — let their customers connect to Slack, HubSpot, Salesforce, GitHub, Google Sheets, Jira, or any other app, execute actions, sync data, or handle webhooks. Covers backend token generation, frontend connection UI, running actions, data collections, and AI agent tooling.