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Found 124 Skills
Initialize, diagnose, or migrate a project into the LLM wiki pattern with AGENTS/CLAUDE instructions, QMD MCP wiring, Claude/Codex hooks, guardrails, and QMD doctor checks. Use when the user asks to set up wiki infrastructure, check if a project needs migration, install wiki hooks, or validate QMD.
Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.
Implement FireCrawl lint rules, policy enforcement, and automated guardrails. Use when setting up code quality rules for FireCrawl integrations, implementing pre-commit hooks, or configuring CI policy checks for FireCrawl best practices. Trigger with phrases like "firecrawl policy", "firecrawl lint", "firecrawl guardrails", "firecrawl best practices check", "firecrawl eslint".
How to create, manage, and use Ethereum wallets. Covers EOAs, smart contract wallets, multisig (Safe), and account abstraction. Essential for any AI agent that needs to interact with Ethereum — sending transactions, signing messages, or managing funds. Includes guardrails for safe key handling.
Actix-web framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Actix-web projects, or when the user mentions Actix-web. Provides actor patterns, async handlers, extractors, and high-performance web guidelines.
Use this when you need to execute the AI SDLC (Spec Pack) process in the sdlc-dev repository, select/chain together skills from the demand side (raw/solution/prd/prototype/demo) and implementation side (plan/execute/finishing), and use guardrails to avoid context drift, incorrect directory writes, or skipping critical steps under pressure.
Discover and execute repository test commands safely with evidence-based command selection and safety guardrails.
Shelf framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Shelf (Dart HTTP server) projects, or when the user mentions Shelf. Provides middleware patterns, request handling, pipeline composition, and server guidelines.
Vapor framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Vapor projects, or when the user mentions Vapor. Provides Fluent ORM, async Swift, routing, middleware, and server-side Swift guidelines.
Core context and guardrails for OpenWork native app
Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.
Operate `superise market-sustain` for SupeRISE Market self-supervision. Use when the user asks the agent to keep itself alive, monitor balance or runway, inspect market pricing, top up a market account, retry pending top-up orders, clear market auth state, or change sustain guardrails and config.