AI Skills Registry

Boilerplate templates for Claude Code extensions. Triggers on: create agent, new skill, command template, hook script, extension scaffold.

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type sa

Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid,

Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "

Helps coding agents integrate and work with the Tiptap rich text editor. Use when building or modifying a rich text editor with Tiptap, inst

Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, fi

Python SDK for inference.sh - run AI apps, build agents, and integrate with 250+ models. Package: inferencesh (pip install inferencesh). Sup

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

Design system and guidelines for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in

Batch search and read node information. The Agent's 'Eyes'. Use to find specific components e.g. all nodes named 'Button' or get child struc

Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG

Build AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.

Expert in drone systems, computer vision, and autonomous navigation. Specializes in flight control, SLAM, object detection, sensor fusion, a

End-to-end pipeline from unlabeled ml_app traces to a bootstrapped evaluator suite. Runs trace classification → root cause analysis → eval b

Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors,

Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparin

Multi-angle codebase exploration spawning 3-5 parallel agents for code structure, data flow, architecture patterns, and health assessment. G

Large Language Model development, training, fine-tuning, and deployment best practices.

Spin up a single agent as an advisor — second opinion on the current task. Use when the user says "advisor", "second opinion", "what does X

Control tmux panes and communicate between AI agents. Use this skill whenever the user mentions tmux panes, cross-pane communication, sendin

Unified configuration manager for AI coding assistants. Manage profiles, install skills/agents/commands, and switch configurations across Cl

lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).