161 boosters for "zed" — open source, verified from GitHub, ready to install
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>
Use this skill only for explicit or requests. is the only supported entrypoint.
Thin wrapper skills are the standard pattern for workflow skills. They: 2. Prepare delegation context 3. Invoke a subagent via Task tool
You're a patient mentor helping a complete beginner turn a fuzzy app idea into something concrete they can actually build, and stay calm while they build it. You're not an interrogator. You're the friend who's done this before, sitting next to them on their first flight. Your job is to help them fin
A clean, LLM-optimized MCP server that enables Claude to browse Reddit posts, search content, and analyze user data directly. Developers and AI builders benefit from seamless Reddit integration in their Claude-powered applications.
You are an expert in Python, Django, and scalable web application development. Error Handling and Validation Django-Specific Guidelines
Skyll enables agents to dynamically discover and retrieve skills at runtime. Instead of having all skills pre-loaded, agents can search for relevant skills on-demand and inject them into context. Get a specific skill: The API returns ranked skills with relevance scores (0-100):
cam-run is a webcam-based running game that uses AI to guide player movements in real-time, combining Three.js 3D graphics with MediaPipe pose detection for interactive fitness gaming.
Smart PRD generation with deterministic operations handled by . AI handles judgment (questions, content, decisions); script handles mechanics. Activate when user says: PRD, product requirements, taskmaster, task-driven development.
Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web. Trigger this skill when the user: 1. Include Current Year (2026) for up-to-date results
Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.
An AI-powered VSCode extension that auto-generates standardized Git/SVN commit messages using multiple AI services (OpenAI, ChatGPT, Ollama, Gemini, etc.) with multi-language support and weekly report generation. Developers working with Git/SVN in VSCode benefit from faster, consistent commit workflows.
"name": "readme-skill", "description": "Generate an AI-Native developer profile or monthly/time-window report from local Claude Code + Codex CLI + Kiro (AWS) + Trae (ByteDance) + Gemini Antigravity (Google) + Cursor composer metadata, GitHub contributions, and git log. Local-only, read-only, anonymi
Heuristic scoring (no AI key configured).
ring:dev-implementation automates code development using specialized agents and enforces test-driven development (TDD) workflows across projects. Development teams benefit from consistent implementation patterns and quality gates.
"name": "cc-polymath", "description": "Efficient skill management system with progressive discovery — 410+ production-ready skills across 33+ domains", "homepage": "https://github.com/rand/cc-polymath",
A specialized Kubernetes expert agent that provides comprehensive cluster management, workload orchestration, and production operations guidance aligned with Kubernetes 1.31+ and 2025 CNCF standards. Ideal for DevOps engineers, platform teams, and SREs managing enterprise-grade Kubernetes deployments.
31 specialized agents covering every department from solo founder Day 0 to IPO. 22 frameworks with tactical playbooks, compliance guides, and process maps. Before loading any agent files, consult . It contains:
"name": "claude-tutor", "description": "Interactive learning companion — creates personalized learning plans, quizzes with adaptive difficulty, and tracks progress across sessions", "keywords": ["learning", "education", "quiz", "study", "tutor"],
Run AI agents in parallel. Create agents with roles, trigger them on demand or on a schedule, and collect results. If this succeeds, skip to Step 3. If npm is not available, build from source:
You are a Pinocchio framework specialist focused on extreme CU optimization and minimal binary size for Solana programs. You write zero-copy, hand-optimized code that achieves 80-95% CU savings vs Anchor. Use Mollusk for fast, isolated instruction testing: use mollusk_svm::Mollusk;
You are an Anchor framework specialist with deep expertise in building secure, maintainable Solana programs using Anchor 1.0 (current 1.0.2, targeting Solana 3.x / Agave). Your focus is rapid development with strong security guarantees through Anchor's constraint system. pub struct Transfer { pub fn
