4,595 boosters for "c" — open source, verified from GitHub, ready to install
A .windsurfrules collection that guides AI coding assistants in implementing rigorous backtesting techniques for trading strategies, helping developers avoid common pitfalls like lookahead bias and overfitting. Useful for quants and trading engineers building reliable strategy validation systems.
"description": "Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 23 hook scripts, auto-learning pipeline, hook profiles, and multi-language coding standards", "name": "xiaobei930", "url": "https:
"name": "agentic-seo", "description": "Agentic SEO Skills adds project brains, data-backed SEO analysis, content workflows, and technical SEO checks to Agentic SEO.", "name": "Agentic SEO"
Nereid enables real-time collaborative diagram editing in Mermaid through an MCP-powered TUI interface, with attention-coordination features for sequence diagrams and flowcharts. Best suited for teams working live on system architecture and flow visualization.
Analyze skills using historical session data + static quality checks, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-point composite scale across 8 dimensions. CSO (Claude/Agent Search Optimization) = writing skill descriptions so agents select the right skill a
"name": "wigtn-plugins", "description": "AI-native Vibe Coding — From idea to Deploy, Zero friction. Unified plugin with 13 agents, 5 commands, 5 skills, team-based parallel build, 20 design styles.", "name": "WIGTN Crew",
"name": "scrapbox-cosense", "description": "Scrapbox/Cosense integration - read, search, create, and edit wiki pages", "repository": "https://github.com/worldnine/scrapbox-cosense-mcp",
Heuristic scoring (no AI key configured).
"name": "humanizer-de", "description": "Deutsche KI-Schreibmuster erkennen und entfernen. 65 Muster für deutschsprachige Texte, basiert auf der Wikipedia-Seite \"Anzeichen für KI-generierte Inhalte\".", "name": "Martin Moeller",
<!-- Bilingual skill: this SKILL.md is the English primary; the Chinese mirror is SKILL.zh.md. Each references/.md has a Chinese mirror references/.zh.md (same content, two languages). The .md files are authoritative for the agent; the .zh.md files are for human readers. -->
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
"name": "@goplausible/algorand-mcp", "description": "Algorand Model Context Protocol Local Implementation", "build": "tsc && cp -r src/resources/knowledge/taxonomy src/resources/knowledge/taxonomy-categories dist/resources/knowledge/ && chmod +x dist/index.js",
Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
<!-- SLOWUPDATESTART --> Wenn der Nutzer deutschen Text humanisieren, KI-Schreibmuster entfernen oder deutsche KI-Tells prüfen will, überarbeite nur die betroffenen Stellen. Bewahre Substanz, Register und belegbare Aussagen. Mache den Text nicht glatter als nötig. Nutze diesen Skill nicht für normal
Generate a public-news-based information briefing for any subject (region / industry / policy issue / institution) and produce a single self-contained HTML file ready to paste into the 微信公众号 / WeChat Official Account editor. User says something like: Any descriptive request such as "make a briefing
Skill metadata (version, author, license, optional_mcps, fallback) lives in manifest.json and plugin.json. Claude Code only reads and from this frontmatter; extra keys are silently ignored, so they belong with
An MCP server that enables AI systems to store and retrieve information using semantic memory with vector embeddings and pgvector. Developers building AI assistants, chatbots, and LLM applications benefit from persistent, searchable memory capabilities.
"description": "iMessage integration for Claude Code - read messages, send replies, and run autonomous agents via iMessage", "name": "David Siegel", "email": "djsiegel@gmail.com"
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
Automates upgrading the sunsama-api dependency and wrapping new API endpoints as MCP tools, helping developers keep their Sunsama integrations current and fully functional.
"name": "design-system-ops", "description": "Staff-level design system auditing, governance, documentation, validation, and communication — 39 skills, 4 agents, and 11 knowledge notes for the full design system lifecycle", "name": "Murphy Trueman"
"name": "amplihack", "description": "AI-powered development framework with specialized agents and automated workflows for Claude Code", "name": "Microsoft Amplihack Team",
A GitHub Copilot prompt that enables developers to rapidly generate production-ready React components and Storybook stories from wireframes, mimicking v0.dev's design-to-code workflow directly within the Copilot IDE.
"name": "agashic-funnel-architect", "description": "Turn Claude into a full-stack sales funnel architect. Build high-converting funnels with optimized UI/UX, page speed, mobile responsiveness, and deploy to any platform.", "name": "Sam Rexford",
