Loading...
Loading...
Found 11,901 Skills
Search the web and scrape pages using the local tool stack: SearXNG (meta-search), Lightpanda (fast headless fetch), and Agent-Browser (full browser automation). This is your DEFAULT web skill — use it whenever you need to look something up, research a topic, fetch a webpage, extract content from a URL, check current information, find documentation, do competitive research, or answer any question that benefits from live web data. Triggers on any form of: search for, look up, google, find out, research, what's the latest on, fetch this page, scrape this site, check this URL, pull info from, web search, or any task where current web information would improve your answer. Even if the user doesn't explicitly ask you to search — if answering well requires current info you don't have, use this skill. NOT for interactive browser automation like form filling or clicking (use [[agent-browser]] or [[browser-use]]).
Set up a new Obsidian knowledge base with the LLM Wiki pattern. Use when the user wants to create a second brain, initialize a vault, set up a personal knowledge base, or says "onboard". Guides through an interactive wizard to configure vault name, location, domain, agent support, and tooling.
Use when another skill or agent needs a review panel assembled, retained, or converged — invoked by /review-loop, /plan-review, and code-reviewer, not directly by users.
Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through diagnosing the failure via OPENCLI_DIAGNOSTIC, patching the adapter, and retrying. Works with any AI agent.
Orchestrate work through a team of agents coordinating via chat. Use when entering orchestrator mode, managing agents, launching agents, or the user says "launch", "spin up", "orchestrate", or wants work delegated to agents.
Use this skill whenever reviewing, auditing, or grading a command-line tool for agent-friendliness - it runs a black-box test suite against a target CLI and reports per-rule pass/fail from the cli-for-agents 45-rule catalog. Trigger even if the user doesn't explicitly say "agent-friendly" - apply whenever they ask "is mycli good for agents?", "review this CLI", "grade my cli against the rules", "check if this tool is safe to automate", or "audit command-line design". Companion to the cli-for-agents distillation skill.
Comprehensive Go backend code review with optional parallel agents
Full-stack hybrid memory system with vector + keyword search. Stores embeddings in SQLite with FTS5 for BM25 keyword search and cosine similarity. Enables semantic memory recall for agents.
Monitor STX stacking positions — status, PoX cycles, reward payouts, and delegation eligibility for autonomous agents.
Use when user needs expert help, wants to summon a specialist, says "help me with", "I need guidance", or has a task requiring domain expertise. Creates and manages a growing collection of expert agents.
Audit existing skills with Tessl scoring, metadata and trigger-coverage checks, repo conventions, and skill-authoring best practices. Use when creating or revising a skill, triaging weak self-activation, or comparing a skill against source-repo guidance such as `AGENTS.md`, `CLAUDE.md`, or repo rules, plus external skill guidance. Do not use to verify general application code or to rewrite unrelated docs.
Design patterns for the Langroid multi-agent LLM framework. Covers agent configuration, tools, task control, and integrations.