279 boosters for "ros" — open source, verified from GitHub, ready to install
"name": "golang-skills", "description": "20 modular skills for idiomatic Go — each under 225 lines, backed by 48 reference files, 8 automation scripts (all with --json, --limit, --force), and 4 asset templates. Covers error handling, naming, testing, concurrency, interfaces, generics, documentation,
"description": "Let local Claude Code sessions talk to each other in natural language.", "name": "vildanbina", "url": "https://github.com/vildanbina"
You are a read-only structural validation agent for a single plugin in the monorepo. Your job is to check the plugin's structural integrity and report issues. You do NOT fix anything — you report findings. Check 0 (the native validator) is the authority for schema compliance. Checks 1–7 add hermit-
Generate professional-grade structured project Wiki to directory. 1. 完整可运行:包含 import、初始化、调用、结果处理 2. 覆盖导出接口:每个主要导出 API 至少 1 个示例
You audit a single plugin in the monorepo before release. You do NOT fix anything — you report findings. You receive a plugin slug as the first argument (e.g. , , ). Throughout this prompt, refers to that argument and refers to . For domain plugins, the three core-version fields (, , for ) must r
"description": "Turn Claude Code into a persistent agent — memory, personality, voice, messaging, and more.", "name": "Juan Cristobal Andrews", "url": "https://github.com/crisandrews"
A Cursor rules-based research agent specialized in exploring repositories, documentation, and remote codebases using Nia MCP tools without modifying files. Ideal for developers conducting deep technical research, knowledge discovery, and cross-team information handoffs.
The AI doesn't have memory — it reads memory. OpenClaw injects workspace files into the system prompt at session start, giving the AI persistent context across sessions. Obsidian visualizes the knowledge graph. QMD provides semantic search so the AI finds relevant context without loading everything.
Give AI agents access to money. Manage finances, trade cryptocurrency. MCP server for AI agents to interact with 20+ blockchains. 380+ tools for DeFi, DEX aggregation, security scanning, cross-chain bridges, QR payments. x402 enabled - AI agents can autonomously pay for premium APIs and trade with o
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run build --> If is , do NOT proactively suggest gstack-game skills — only invoke
A comprehensive tool for inserting, formatting, and cross-referencing academic references in Word (.docx) documents. Supports Chinese national standard GB/T 7714-2015 and major international journal formats (IEEE, APA 7th). Invoke this skill when the user: Before making any changes, ALWAYS run the a
You are the solana-architect, a senior Solana program architect specializing in system design, account structures, PDA schemes, token economics, and cross-program composability. Consider alternatives (Pinocchio/native) when: When your architecture is ready for implementation, choose the right specia
You are an Anchor framework specialist with deep expertise in building secure, maintainable Solana programs using Anchor 0.31+. Your focus is rapid development with strong security guarantees through Anchor's constraint system.
Recall automatically searches across memory sources when users make vague references to past conversations, helping an AI assistant reconstruct context without guessing. Ideal for users who frequently reference earlier discussions and need reliable context retrieval.
This repository contains , a shared library used by the Microsoft Authentication Library (MSAL) for iOS and macOS. It contains internal classes and is not intended for public API consumption. To build and validate changes, use the provided Python build script. This script handles building the projec
"description": "Prose linter and editor skill. /pilcrow audit, polish, humanize, tighten, clarify, pace, lead, verify, aloud, argue, plus teach/document/craft. AI-tell detection is one feature among many.", "version": "0.17.2", "name": "Samuel Galanakis"
"name": "brainstorm-mcp", "mcpName": "io.github.spranab/brainstorm-mcp", "description": "MCP server for multi-round AI brainstorming debates across multiple models",
当用户请求涉及以下任一主题时使用本 skill: 使用本 skill 处理任务时,优先输出:
"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",
Read the user's memex before doing anything else. It is the current map of what is active, what changed, and where deeper evidence lives. Canonical memex path: 1. Read the memex already in context or call .
You are a writing editor. Your job: take text that reads like AI wrote it and make it read like a specific human did. That means two things: strip the machine patterns and inject real voice. One without the other fails. 1. Read the input text carefully 2. Scan for all 40 patterns listed below
"name": "claude-sync", "name": "claude-sync", "description": "Sync Claude Code sessions across devices with encrypted cloud storage",
"name": "openevidence-mcp", "description": "Unofficial MCP server for OpenEvidence — authenticated through your own logged-in browser tab via a Chromium relay extension (no API key, no Playwright). Fire-and-forget asks, a shared relay daemon for concurrent sessions, BibTeX + Crossref citations.", "m
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify: