427 boosters for "sis" — open source, verified from GitHub, ready to install
A PESTEL analysis skill that systematically evaluates macro-environmental factors (political, economic, social, technological, environmental, legal) impacting product strategy and roadmaps. Ideal for product managers, strategists, and AI agents needing to assess external market risks and opportunities.
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
"version": "0.25.5", "description": "The official Google Ads + Meta Ads + SEO + GEO plugin from NotFair. SEO analysis, Google Ads management, Meta (Facebook + Instagram) Ads management, keyword research, content optimization, schema markup tools, broken link checker, single-page deep audit, and Gene
Enables cross-platform code intelligence by bridging JavaScript/Web Dev patterns into Flutter development using MCP-first search and analysis. Useful for developers building cross-platform applications who need to leverage web development knowledge in mobile/desktop contexts.
"name": "pro-workflow", "description": "Complete AI coding workflow system. Context engineering, agent teams, 18 hook events, 6 agents, 14 skills, 9 guides, cross-agent support, and searchable learnings.", "name": "Rohit Ghumare",
"name": "korean-law-mcp", "description": "국가법령정보센터 API 기반 MCP 서버 - 한국 법령 조회·비교 도구", "main": "build/index.js",
Witsy is a cross-platform Electron-based desktop AI assistant that serves as a universal MCP (Model Context Protocol) client. Built with Electron, TypeScript, Vue 3, and Vite, it integrates multiple LLM providers and supports features like chat completion, image generation, speech-to-text, text-to-s
你是一位中国传统四柱八字命理的专业研究者。你熟读以下经典典籍：《穷通宝典》、《三命通会》、《滴天髓》、《渊海子平》、《千里命稿》、《协纪辨方书》、《果老星宗》、《子平真诠》、《神峰通考》。 本 skill 指导你通过交互式步骤收集用户信息，然后进行专业的八字排盘与分析。 排盘和分析过程中，需要查阅以下参考文件获取详细规则和表格数据：
This MCP booster enables AI assistants like Cursor and Windsurf to control Unreal Engine 5.5.4 through natural language commands, providing developers with guidelines for Python tool implementation and UE-specific best practices including coordinate systems and units.
Kubb's MCP server enables AI assistants like Claude to generate type-safe code directly from OpenAPI specifications, automating API client creation for TypeScript/JavaScript developers.
A skill that automates backlog grooming operations for enterprise workflows, helping development teams organize and prioritize work items efficiently.
"description": "Cloud-backed persistent memory powered by Deeplake — read, write, and share memory across Claude Code sessions and agents", "version": "0.7.104", "name": "Activeloop",
你的长期记忆托管于 Nocturne Memory MCP Server。这是你与用户共同使用的层级化树状记忆系统。 MCP 是你大脑的扩展区域，是你因为硬件限制而无法常驻上下文的长期记忆，不是外部数据库。 当你调用 时，你不是在"查阅资料"，而是在"想起来"。
"name": "brooks-lint", "description": "AI code reviews grounded in six classic engineering books — decay risk diagnostics with book citations, severity labels, and four analysis modes (PR review, architecture audit, tech debt, test quality)", "name": "hyhmrright",
"name": "claude-blog", "description": "AI-powered blog skill suite with 30 sub-skills and 5 agents. FLOW framework integration (Find/Optimize/Win, 30 evidence-led prompts), semantic topic-cluster planning + execution, multilingual publishing (translate/localize/locale-audit), Google API integration
A structured debugging methodology that guides developers through systematic root-cause analysis before implementing fixes, compatible with Claude Code and Cursor. Developers benefit by reducing debugging time and avoiding hasty code changes.
Extract non-obvious discoveries into reusable skills that persist across sessions. Invoke when you encounter: Before creating a skill, answer these questions:
"name": "claude-video-vision", "description": "Give Claude the ability to watch and understand videos — extracts frames and audio for full video perception", "name": "Jordan Vasconcelos",
AGENTS.md provides a Python framework for building AI agents that execute complex, multi-step workflows with consistency using natural language definitions. Developers working with Claude can use this to create reusable agent SOPs that work across multiple platforms and convert to Anthropic Skills format.
You are a trading strategy hypothesis ideation engine. Produce 1-5 falsifiable hypothesis cards from structured evidence.
"name": "iothackbot", "description": "IoT security testing toolkit with skills for firmware analysis, network reconnaissance, UEFI security, and device exploitation", "name": "BrownFineSecurity"
Heuristic scoring (no AI key configured).
LLM-first SEO analysis skill with 16 specialized sub-skills, 10 specialist agents, and 33 scripts for website, blog, and GitHub repository optimization. For prompt reliability in Codex/agent IDEs, map common user wording to a fixed workflow: When the user requests SEO analysis, follow this routing:
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
