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Found 1,116 Skills
Cross-platform CLI tool for managing Claude Code, Codex, Gemini, OpenCode & OpenClaw providers, MCP servers, prompts, skills, and proxies.
Query the STRING database for protein-protein interactions (PPIs), functional enrichment, and homology. Use when the user asks about interactions between specific proteins, interaction evidence, confidence scores, protein interaction partners, or pathway enrichments.
Delegate a task to Cursor's CLI agent (code review, Q&A, planning) for a second opinion from a non-Claude model
Search, qualify, and enrich people and companies. Use this skill whenever the user wants to find professionals, candidates, or KOLs by title, company, location, seniority, or audience; enrich known contacts with email, phone, or LinkedIn; research companies for industry, funding, tech stack, or hiring activity; look up someone's contact info; source candidates for recruiting; generate B2B lead lists; or perform background web research on people or organizations. Trigger this skill even when the user doesn't explicitly say "search" or "enrich" — any mention of finding contacts, sourcing, prospecting, looking up a person or company, or gathering business intelligence should activate it.
Agent-ergonomic browser automation with token-efficient accessibility tree snapshots and combined operations
Python patterns for CLI tools, async concurrency, and backend services. Use when working with Python code, building CLI apps, FastAPI services, async with asyncio, background jobs, or configuring uv, ruff, ty, pytest, or pyproject.toml.
This skill should be used when the user asks about OpenClaw configuration, troubleshooting, setup, architecture, or any OpenClaw question. Triggers on "how do I configure OpenClaw", "set up telegram in OpenClaw", "gateway configuration", "OpenClaw troubleshooting", "claw advisor", "what's the best way to set up OpenClaw", "OpenClaw docs", "help me with OpenClaw", "openclaw channel setup", "debug OpenClaw", or needs guidance on OpenClaw features, channels, gateway, automation, models, or design decisions.
Use git-gud (gg) to manage stacked diffs with GitHub PRs or GitLab MRs. Use this when creating stacks, syncing updates, checking CI/review state, and landing approved work safely.
Install and configure ktx, the self-improving context layer that teaches AI agents to query data warehouses accurately with approved metrics, semantic layer, and business knowledge.
Context layer for data agents - builds semantic layer, wiki, and warehouse metadata to enable accurate AI-powered analytics queries
Find myICOR course lessons by topic using semantic search. Status — shipping in CLI v1.1. Until then, invoke the myicor-learn-search skill for myICOR articles, videos, and podcasts.
Shell scripting and Bash programming patterns