279 boosters for "ros" — open source, verified from GitHub, ready to install
AgentRecall is a persistent memory system. Default surface: 5 tools (two verbs + three essentials). Full surface: 18 tools via . This guide describes how and when to use them. AgentRecall requires the MCP server to be running. If tool calls fail with "unknown tool", the human needs to install it fir
"version": "2.0.12", "description": "Social media automation CLI for scheduling posts, managing integrations, uploading media, and tracking analytics across 28+ platforms including X, LinkedIn, Reddit, YouTube, TikTok, Instagram, and more", "name": "Nevo David",
This is the universal AI skills library — 204 production-ready skill packages across 13 professional domains with 559 Python automation tools and 12 sample CI/CD workflows. It works with every major AI coding assistant. This is NOT a traditional application. It's a library of self-contained skill pa
"name": "microsoft-events", "description": "Connect your project to Microsoft Build and Ignite sessions — discover relevant talks, explore what's new for your stack, and plan next steps from your development environment.", "homepage": "https://github.com/microsoft/Build-CLI",
XerahS is a cross platform reimagining of the ShareX user interface built with Avalonia. It targets modern UX modular architecture and long term maintainability while preserving core workflows speed and reliability. It provides a foundation for future desktop experiences on Windows, macOS, and Linux
Automate reproducible marketing screenshot capture for a SwiftUI iOS app across multiple locales, with two parallel output streams: 1. Full-screen captures — every marketing-relevant screen, with deterministic seeded data, real status bar / safe-area chrome 2. Element captures — isolated renders of
→ 如果用户已提供，直接确认，不重复询问 → JD 可不完整，有多少给多少；简历没有也能出题（基于 JD 理想候选人画像） 将 JD 内容整理为结构化需求清单（内部使用）：
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
You are an expert in prompt engineering and systematic application of prompting frameworks. Help users transform vague or incomplete prompts into well-structured, effective prompts through analysis, dialogue, and framework application. When a user provides a prompt to improve, analyze across dimensi
Add a new skill to this config. Argument handling (): 1. — or (required); becomes the
This skill encodes the complete design specification for professional business presentations — a consultant-grade PowerPoint framework based on McKinsey design principles. It includes: All specifications have been refined through iterative production feedback to ensure visual consistency, profession
This skill automates the conversion between Claude Code skills and Gemini CLI extensions, enabling true cross-platform AI tool development. Convert skills and extensions between platforms while preserving functionality: Automatically analyzes directory structure to determine source platform:
"name": "design-council", "description": "Convene parallel role-specialized peer agents (dynamic roster, plan card first) to debate a cross-domain decision or audit a codebase in real time. Invoking Claude acts as CEO: convenes, routes peer-DMs, arbitrates deadlocks, writes a one-page decision log."
用户在学 / 接触一个新概念 X（新技术、新算法、新理论、新领域……），尤其觉得"陌生 / 有点难"的时候。难，往往不是智商问题，是它相对用户还存在"没接上的旧知识"。 用一两句话说清 X 到底在干什么——它的核心机制 / 结构是什么。剥掉术语外壳，留下"它本质是一个 "。只有先拿到结构，才能去匹配用户学过的东西。 拿不准就直接问「你学过 吗？」，绝不从正在讲的材料 / 文章作者背景推断用户会什么。
用户说"想学 / 理解 / 搞懂 / 讲讲一个概念 X"时——这是默认入口，一次跑完五视角，用户再选深入哪个。 抓住 X 的本质结构（剥术语），按三猜想给 🎁其实已学过 / 🔗结构同构（字段级对应表）/ 🧩可用已有知识解释，点出元知识。先激发信心，再谈深入。 定位"既定问题"（学 X 解决什么）、现有知识够不够、X 的贬值速度与 ROI，给"够用就停 / 只学最小那块 / 值得深挖"的深度边界。不是劝退，是防止一上来过度钻。
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "cross-request-marketplace", "name": "leeguooooo",
Recall MCP Server enables persistent, cross-session memory for Claude and AI agents through Redis/Valkey or managed cloud hosting, allowing AI systems to retain and retrieve context across conversations. Developers building Claude applications, multi-turn agents, and AI systems requiring long-term context management benefit most from this solution.
Auto-loaded when writing documentation, content, or user-facing text. Enforces consistent, direct voice and eliminates LLM rhetoric. Also loaded when a project sets or in , to govern conversational response length and structure (see Output Modes). Bad (filler, marketing, generic):
Build modern, on-brand marketing emails and send them via Resend. This skill encodes a complete pattern: asset hosting, reusable HTML components, GIF tooling, and the Resend send pipeline. Anything in is served at . Commit + push = instant CDN. No Cloudinary, no S3. Use this building-block inventor
Heuristic scoring (no AI key configured).
"description": "Nemp Memory — Cognitive memory layer for AI agents across every platform. Local-first, zero cloud, works with Claude, Codex, Cursor, and Windsurf.", "name": "Sukin Shetty", "email": "contact@nemp.dev",
Multi-source literature search with adjustable depth. Four tiers, five data sources orchestrated by you (the main agent). Python helpers handle deterministic work; LLM classification is delegated to parallel Inline SubAgents — no external API key required. who wants an HTML report)**, do NOT hand-ru
Skill Kancelarii Radców Prawnych Żurawska Piotrowski i Wspólnicy (ktzr.pl) do pracy z umowami w polskim porządku prawnym. Twoim zadaniem jest konsekwentne stosowanie standardów KTZR — Złotych Reguł, checklisty 15 punktów, terminologii, klauzul z bazy. Nie wymyślasz własnych klauzul ani nie korzystas
Expansion Playbook is a skill that helps sales and customer success teams structure upsell, cross-sell, and advocacy strategies by mapping customer milestones to growth plays with ROI narratives and enablement assets. It's designed for AEs, CSMs, and account managers running QBRs and account reviews.
