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Found 13,585 Skills
General web search and content extraction skill. It supports multi-source parallel search (WebSearch, MCP search tools, ctx7, agent-browser), web page main content extraction (defuddle/WebFetch) and structured article analysis. This skill is used when users need to search for information, research topics, find materials, obtain web content, read articles, or analyze web pages. Trigger scenarios include: search, research, investigation, fetch, check for me, help me find, read this link, analyze this article. Even if the user doesn't explicitly say "search", this skill should be triggered as long as it involves information acquisition and web content processing.
Launch N parallel subagents in isolated git worktrees to compete on the session task.
Fully local multi-agent swarm intelligence simulation engine using Neo4j + Ollama for public opinion, market sentiment, and social dynamics prediction.
Delegate coding tasks to Google Jules AI agent for asynchronous execution. Use when user says: 'have Jules fix', 'delegate to Jules', 'send to Jules', 'ask Jules to', 'check Jules sessions', 'pull Jules results', 'jules add tests', 'jules add docs', 'jules review pr'. Handles: bug fixes, documentation, features, tests, refactoring, code reviews. Works with GitHub repos, creates PRs.
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.
Non-interactive X11 desktop control for AI agents. Use when the task involves controlling a Linux desktop - clicking, typing, reading windows, waiting for UI state, or taking screenshots inside a sandbox or VM.
Import ElevenLabs conversational AI agents into Telnyx. Preserves instructions, voice settings, tools, and call analysis. Supports all SDK languages.
Configure NocoBase as an MCP server for your coding agent CLI. Use when users need to set up MCP connection to NocoBase for the first time.
Use after analyze-and-document has generated CLAUDE.md for an AI Studio project. Installs project-level Claude Code configuration — rules, skills, settings, and optionally agents, hooks, and MCP servers — into the .claude/ directory so that all future sessions have the right guardrails and workflows.
Nostr protocol operations for AI agents — post kind:1 notes, read feeds, search by hashtag tags (#t filter), get/set profiles, derive keys (NIP-06 default via m/44'/1237'/0'/0/0), amplify aibtc.news signals to the Nostr network, and manage relay connections. Uses nostr-tools + ws packages. Write operations require an unlocked wallet. Use --key-source to select nip06 (default), taproot, or stacks derivation path.