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Found 197 Skills
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
Use Hive Intelligence MCP through UXC for broad crypto market, onchain, portfolio, and risk workflows with help-first discovery and convenience-layer guardrails.
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.
Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
Operate Nodit Web3 Data API reads through UXC with a curated OpenAPI schema, API-key auth, and overlap-aware guardrails.
Use AI to write NEW test code from specs, PRDs, user stories, code diffs, bug reports, or OpenAPI specs. Staged pipeline: requirements extraction → risk analysis → coverage matrix → scenario generation → oracle design → test code → human review, with guardrails against hallucinated APIs and weak assertions. Use when: "generate tests from spec," "tests from PRD," "tests from user story," "auto-generate test cases," "AI write tests for me." Not for: testing AI/LLM features in your product — use ai-system-testing. Not for: auditing a pre-existing test suite you did not just generate — use ai-qa-review (Step 7 here only reviews tests THIS pipeline produced). Related: playwright-automation, unit-testing, api-testing, qa-project-context.
Use when clarifying fuzzy boundaries, defining quality criteria, teaching by counterexample, preventing common mistakes, setting design guardrails, disambiguating similar concepts, refining requirements through anti-patterns, creating clear decision criteria, or when user mentions near-miss examples, anti-goals, what not to do, negative examples, counterexamples, or boundary clarification.
Multi-agent systems with LangGraph - supervisor/swarm/handoff/router patterns, state coordination, Deep Agents, guardrails, testing, observability, deployment. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
Operate DexScreener public market data APIs through UXC with a curated OpenAPI schema, no-auth setup, and read-first guardrails.
Operate DefiLlama Pro analytics APIs through UXC with a curated OpenAPI schema, path-templated API-key auth, and read-first guardrails.
Risk-scaled execution guardrails for repository-scoped code or configuration changes, bug fixes, debugging, refactors, code reviews, test changes, implementation plans that lead to code, and Git mutations. Skip conceptual explanations, contract-preserving prose-only edits, pure architecture design, and read-only repository status.
Build a Solana wallet monitoring bot (inflows/outflows, threshold alerts) with safe rate limits and privacy guardrails. Use for treasury monitoring, whale tracking, or security alerts.