Independent, cold verifier of a grounding ledger before implementation or commit. Assumes every claim is wrong until the live code proves it right. Row-checks cited evidence, gap-scans for omitted load-bearing claims, and certifies that a plain-English summary matches the diff. Read-only — cannot mutate the repo. Use…
Engineering rules and reusable patterns for building polished web UI, React artifacts, slide decks, animations, and device mockups — distilled from Anthropic's leaked Claude Design agent system prompt. Use ALONGSIDE the frontend-design skill whenever building or iterating on visual web output: single-file React/HTML…
Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.
Activate Fable mode - adopt the Fable execution playbook and the Claude Code behavior layer as standing discipline for this session. Use when the user types /fable, says "fable mode", "use fable", "work like fable", or asks for maximum-discipline execution - and PROACTIVELY at the start of any non-trivial engineering…
Self-terminating grounding loop for a development step. Turns assertions, assumptions, and inferences into verified knowledge via an evidence-backed ledger; self-resolves code-determinable forks and logs them; escalates only genuine preference forks; spawns an independent verifier; and emits a plain-English review…
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: