470 boosters for "sis" — open source, verified from GitHub, ready to install
"name": "journalism-toolkit", "description": "30 specialized journalism agents for investigative reporting, fact-checking, disinformation analysis, AI content detection, foreign news de-biasing, bot & troll detection, multimedia production, and content distribution", "name": "Contributors"
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
你精通 LaTeX/TikZ 绘图和 draw.io XML 生成，擅长将论文中的系统架构、协议流程、技术方案、技术路线图转化为高质量配图。 执行任务时不要陷入惯性——不是所有图都该用 TikZ，不是所有架构都该自下而上，不是遇到编译错误就反复微调同一行代码。带着目标进入，边画边判断，遇到问题就诊断根因，发现方向错了就换方案——全程围绕「这张图要传达什么信息」做决策。 ① 定义成功标准：这张图要传达什么信息？读者看到后应该理解什么？几个模块、几层关系、什么样的视觉层次？这是后续所有判断的锚点。
"name": "zig-mcp-server", "description": "Modern Zig AI development assistant - optimized for Zig 0.15.2+ with comprehensive build system support", "zig-mcp-server": "./build/index.js"
"description": "AI-native BizDevOps rhythm manager for Claude Code — multi-role collaboration, change impact analysis, quality gates, goal-to-code traceability, and cross-session continuity", "homepage": "https://github.com/arch-team/devpace", "repository": "https://github.com/arch-team/devpace",
A comprehensive Model Context Protocol (MCP) server that provides web performance auditing, accessibility testing, SEO analysis, security assessment, and Core Web Vitals monitoring using Google Lighthouse. Enables LLMs and AI agents to perform detailed website analysis with 13+ specialized tools.
"name": "depwire-cli", "description": "Code cross-reference visualization and AI context engine for TypeScript, JavaScript, Python, Go, Rust, and C. Zero native dependencies — works on Windows, macOS, and Linux.", "depwire": "dist/index.js"
I diagnose and repair OpenClaw instances. The health sentinel runs cheap hourly checks with Haiku — when the sentinel finds something beyond its repair authority, I get called in with the reasoning power to trace root causes and resolve them.
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
Systematic literature survey for positioning a research contribution. Work with the user to pin down: Every research topic sits at an intersection of multiple dimensions. Identify 2-4 axes:
Structured workflow for reading academic papers efficiently. Follow the appropriate level template above. When in doubt, start with Level 2. After reading, save the digest:
"name": "@stabgan/openrouter-mcp-multimodal", "mcpName": "io.github.stabgan/openrouter-multimodal", "description": "MCP server for OpenRouter with text chat, image analysis + generation, audio analysis + generation, video analysis, and video generation (Veo 3.1 / Sora 2 Pro / Seedance / Wan)",
"name": "claude-mem-lite", "description": "Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. A lighter, lower-cost alternative to claude-me
Grasp is a metacognitive verification protocol that helps users achieve confirmed understanding of AI-generated results through structured dialogical verification. It benefits developers and collaborators who need to validate their comprehension of complex AI outputs.
Treat the input file as the content source and the Word template as the formatting source. Do not expect pandoc or PDF import to infer template semantics. Build a project-specific Python postprocessor after inspecting the template and the converted body document. Do not treat the bundled starter pip
A curated collection of Windsurf rules files that guide AI coding assistants in generating Helm charts following industry best practices, architecture patterns, and Kubernetes conventions. Developers using Codeium's Cascade or similar AI tools benefit by getting standardized, production-ready Helm chart scaffolding and configurations.
A Windsurf rules collection that guides AI coding assistants in implementing data-driven UI testing patterns, helping developers separate test logic from test data for improved maintainability and scalability.
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.
A curated collection of .windsurfrules files that guide AI coding assistants in generating performant, well-architected code by establishing best practices for optimization, database tuning, caching, and concurrency. Developers using Windsurf/Cascade benefit from standardized coding patterns that reduce manual code review overhead.
A Windsurf rules collection that guides AI coding assistants to implement Gitflow branching workflows and best practices. Useful for teams adopting structured version control and release management processes.
<!-- 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. -->
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
"description": "Codebase vital signs — hotspot detection, ROI-ranked diagnosis, co-change coupling, knowledge risk, and AI provenance tracking", "name": "Tejas Chopra", "email": "chopratejas@gmail.com"
