Loading...
Loading...
Found 154 Skills
Implement Supabase lint rules, policy enforcement, and automated guardrails. Use when setting up code quality rules for Supabase integrations, implementing pre-commit hooks, or configuring CI policy checks for Supabase best practices. Trigger with phrases like "supabase policy", "supabase lint", "supabase guardrails", "supabase best practices check", "supabase eslint".
Use when setting up a new AI agent from scratch — asks 10 discovery questions, configures the correct files for the target system, tests integrations, and implements security guardrails
Human-led curation of accumulated metis and guardrails. Surface patterns across sessions, propose what to promote, compact, or dismiss. Use after multiple sessions, before a new phase, or when search results feel noisy.
Interactively onboard a project to agent-driven development by running a structured interview and generating a complete AGENTS.md (or CLAUDE.md). Use this skill whenever a user mentions "AGENTS.md", "CLAUDE.md", "agent behavior", "agent instructions", "agent config", "set up agent rules", "onboard agent", "configure claude code", "agent guardrails", "agent workflow", or asks how to tell an AI agent how to behave in their project — even if they just say "help me write AGENTS.md" or "what should go in CLAUDE.md". Always prefer this skill over ad-hoc agent instruction generation.
Operate CoinGecko and GeckoTerminal market data APIs through UXC with a curated OpenAPI schema, API-key auth, and read-first guardrails.
Use Crypto.com MCP through UXC for exchange market data workflows with help-first discovery and read-only guardrails.
Operate Telegram Bot API through UXC with a curated OpenAPI schema, bot-token path auth, polling-based reads, and webhook management guardrails.
Operate Blocknative gas intelligence APIs through UXC with a curated OpenAPI schema, API-key auth, and read-first guardrails.
Operate Sui public JSON-RPC through UXC with OpenRPC-driven discovery, mainnet fullnode defaults, and read-only query plus pubsub subscription guardrails.
Create validated LLM-as-a-Judge evaluators following best practices — binary Pass/Fail judges with TPR/TNR validation for measuring specific failure modes. Use when you need to automate quality checks, build guardrails, or measure a specific failure mode identified during trace analysis. Do NOT use when failures are fixable with prompt changes (use optimize-prompt) or when failure modes are unknown (use analyze-trace-failures first).
Find, compare, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs. Use when a user asks for a loop, recurring agent workflow, automation cadence, iterative improvement process, an existing Loop Library recommendation, or help turning an outcome into a bounded copy-ready loop through a short question-led design session.
Use when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a structured JSON report to guide workflows and guardrails.