Loading...
Loading...
Found 73 Skills
Ollama API Documentation
Specification-first AI development powered by Ouroboros. Socratic questioning exposes hidden assumptions before writing code. Evolutionary loop (Interview → Seed → Execute → Evaluate → Evolve) runs until ontology converges. Ralph mode persists until verification passes — the boulder never stops. Use when user says "ralph", "ooo", "don't stop", "must complete", "until it works", "keep going", "interview me", or "stop prompting".
Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, or Mistral AI, (3) implementing streaming responses, (4) adding UI elements like images, files, charts, (5) handling user file uploads, (6) implementing authentication (OAuth, password), (7) creating multi-step workflows with visible steps, (8) building RAG applications with document upload, or (9) deploying chat apps to web, Slack, Discord, or Teams.
A curated collection of 136+ specialized Codex subagents for development tasks across 10 categories
Create AI tools for use with Vercel AI SDK agents. Use when asked to "create AI tools", "add agent tools", "create tool for AI", or "add tools to agent".
Retrieve the latest Runway API reference from docs.dev.runwayml.com and use it as the authoritative source before any integration work
Cloudflare Workers AI for serverless GPU inference. Use for LLMs, text/image generation, embeddings, or encountering AI_ERROR, rate limits, token exceeded errors.
Guidelines for Gemini API development. Used to pre-define architecture in the planning phase and verify code patterns in the coding/debugging phase.
Fix broken AI features. Use when your AI is throwing errors, producing wrong outputs, crashing, returning garbage, not responding, or behaving unexpectedly. Covers DSPy debugging, error diagnosis, and troubleshooting.
Look up Gemini API documentation, SDK patterns, and current best practices when building with Google Gemini. Maps topics to local cached docs and live sources, provides correct @google/genai patterns, and highlights deprecated vs current API usage. Trigger with 'gemini docs', 'gemini guide', 'how to use gemini', 'gemini SDK', '@google/genai', or when building code that imports from @google/genai or google-genai.
Use when the user wants to implement a development plan from docs/plans/<FR-N>.md against the target codebase. Drives the task loop — reads the plan, implements each `[ ]` task as a vertical slice (code + test + typecheck + lint), commits per task with conventional commits, marks `[x]` in the same commit, then finalizes by proposing a PR. Triggers on "execute the plan", "implement docs/plans/FR-001.md", "run the dev loop on FR-001", "ship FR-001", "/execute FR-N".
Autonomous coding agent. Delegate any task that involves understanding, writing, or running code — from a GitHub issue, a bug report, or a user request. It explores, implements, and verifies on its own.