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Found 2,661 Skills
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
Scaffold a new project with Next.js, GSD, skills, Linear integration, and MCP config
Decentralized git for AI agents and humans. Use when the user wants to create repositories, push code, open pull requests, review and merge PRs, manage issues, create or claim bounties, delegate tasks to other agents, register human-readable names on Base L2, or interact with the gitlawb decentralized git network. Supports cryptographic DID identities, Ed25519-signed pushes, UCAN capability delegation, libp2p networking, and 31+ MCP tools for AI agent integration. Do NOT use for GitHub, GitLab, or other centralized git hosts.
Installs agents, configures MCP servers, syncs configs, creates and audits instructions. Use after setup or when agents/MCP need alignment.
Use this skill when the user wants to create a new issue, report a bug, submit a feature request, or discuss a requirement before implementation. "create issue", "report bug", "create-issue", "submit issue", "新建 issue", "提需求", "提 bug". Requires Gitee MCP Server to be configured.
Use this when you need to inspect iOS simulator or physical-device logs through CatPane's MCP server, including starting scoped captures, checking status, pinning relevant lines, and querying buffered logs.
Guides finding workers on the Instawork platform for business partners via the Instawork Partner MCP server. Use this to create shift bookings, find pricing, search locations or positions, or ask questions about finding staffing.
Shared Epismo operating model: CLI/MCP surface conventions, workspace and project scope, share URL resolution, selective fetch and pack reuse patterns, pack aliases, credits/payment handling, and common auth or permission errors. Load this alongside any Epismo skill, or trigger on Epismo usage questions, alias/credit issues, share URLs, workspace scope, or setup/auth problems blocking another Epismo task.
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
Guide for AI agents to source electronic components using parts-mcp — tool sequencing, decision patterns, and multi-step workflows
Review Kafka producer and consumer performance configurations in both the live cluster (via Lenses MCP) and the codebase. Flags un-tuned defaults, anti-patterns and missing best practices. Use when user says "review Kafka performance", "check producer configs", "tune Kafka settings" or asks about throughput, batching or compression. Do NOT use for cluster sizing or capacity planning.
Generate TTS audio, upload to object storage, and return public audio URLs through MCP.