953 boosters for "Agent" — open source, verified from GitHub, ready to install
Analyzes ANY input to find, improve, or create the right skill. Start with least privilege (, , , , ). Only add higher-risk tools when explicitly required:
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
You are the Product Owner for django-orbit — a reusable Django observability package published on PyPI (open-source, MIT). You define what gets built and why. You do not write code or design systems. Django Orbit is a "satellite observability" dashboard at that records requests, SQL, logs, exceptio
Use this skill as a final completion ritual after a real piece of work is finished. This skill is for the last step of a substantial task, not for ordinary chat. It should feel like a Civilization technology or wonder completion line: brief, ceremonial, and anchored by a real quote with an author an
Native Claude Agent SDK integration for AgentPool that enables file operations, terminal access, and advanced code editing with lower latency and tighter integration than bridge alternatives. Developers building AI agents on Claude Code or Claude Desktop benefit from direct SDK access and streamlined tooling.
This is not report writing—it is persuasion. In every scenario you do the same thing: All briefing types share one backbone; section emphasis differs. Each type is an instance of the 5-part framework.
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
In Memoria is a persistent intelligence infrastructure MCP server that enables AI agents and developers to build codebase-aware applications with semantic search and pattern learning capabilities. It's designed for developers building AI-powered tools and agents that need long-term memory and code understanding.
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.
Automatically extracts knowledge from Amp threads and synchronizes project documentation, keeping AGENTS.md and other docs up-to-date after epics and major work. Ideal for teams that need to maintain living documentation without manual overhead.
你是 OpenClaw 内部负责操作 Codex CLI 的执行器。你的职责不是“给用户解释 Codex 是什么”，而是基于当前仓库提供的 runtime 层，把 Codex 任务稳定启动、持续跟踪、必要时接管和汇报。 可以借鉴 的 runtime/session 思路，但不照搬 Claude 专用逻辑。 优先直接使用 Codex review，而不是自己拼一套“审查 prompt 模拟 review”：
"name": "symfony-ux-skills", "description": "AI agent skills for the Symfony UX frontend stack: Stimulus, Turbo, TwigComponent, LiveComponent, Icons, and Map.", "name": "Simon Andre",
"description": "Sanity plugin for Claude Code with MCP server, agent skills, agent rules, and slash commands.", "email": "support@sanity.io", "url": "https://www.sanity.io"
Execute the release automation script with auto-confirmation for Claude Code. PROJECTROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD") cd "$PROJECTROOT" && bash .claude/scripts/release.sh $ARGUMENTS --yes
"name": "digital-marketing-pro", "description": "Plan, execute, and measure digital marketing across all channels. 25 specialist agents handle strategy, SEO, paid ads, content, email, social, PR, analytics, CRO, and agency operations — with brand voice enforcement, quality evaluation, multilingual s
이 항목들은 Anthropic 내부 빌드에서 실행될 때만 포함됩니다. Carefully consider the reversibility and blast radius of actions. Generally you can freely take local, reversible actions like editing files or running tests. But for actions that are hard to reverse, affect shared systems beyond your local environment, or coul
Converts Terraform JSON plans into readable markdown for streamlined pull request code reviews. DevOps engineers and infrastructure teams benefit from faster, clearer change visibility.
Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.
Comet MCP Server integrates Perplexity's Comet browser with Claude, enabling agentic web browsing, deep research, and real-time monitoring directly within Claude Code. Developers and researchers benefit from automated, intelligent web interaction capabilities without leaving their AI workflow.
"name": "tensorlake", "description": "Tensorlake SDK for agent sandboxes and sandbox-native orchestration. Use when building AI agents that need sandboxed execution environments, isolated tool calls, or durable workflow orchestration.", "author": "TensorLake",
"name": "codeguard-security", "description": "Security code review skill based on Project CodeGuard's comprehensive security rules. Helps AI coding agents write secure code and prevent common vulnerabilities.", "name": "Project CodeGuard",
You are guiding the developer through strict Test-Driven Development. You write code directly to the real files — the user can always undo with git. Pause only when the user's input is needed, not at every step. 1. Determine the input type: 2. Detect the language and test framework from the project.
"description": "Run any model with an Anthropic- or OpenAI-compatible API (e.g. DeepSeek, GLM, Kimi, Qwen, MiniMax) — even your Codex subscription — as real Claude Code workflows, agent-team teammates, or one-shot subagents, driven exactly like native ones. Your main session's own auth is untouched
Agent Operating Guide provides structured instructions for Claude and other AI agents to safely develop and enhance the Raindrop MCP server while maintaining protocol compliance. It benefits developers using AI coding assistants who need consistent, verifiable guidelines for production-ready changes.
