490 boosters for "agents" — open source, verified from GitHub, ready to install
The team can't find existing standards. Help them build a rubric. Ask: what does the output look like when it's right? Get specific, measurable answers. File sizes, response times, value ranges, visual correctness, behavioral expectations. If the user or team can't quantify it, ask what they'd check
anyclaw turns any API, website, or CLI tool into agent-ready commands. Use it to search for packages, install them, and run commands directly from the terminal. Common packages you can install: Run or to discover more.
Turkey-build is a multi-agent orchestration system for building production-ready applications across 7 modes (greenfield, iteration, bugfix, refactor, UI polish, migration, audit), with PM-driven coordination and runtime verification for teams that need structured, quality-gated development workflows.
Full-featured preflight security scanner across 5 dimensions: Works with OpenClaw, Claude Code, Cursor, Codex, and OpenCode. LLM features auto-detect credentials — no manual configuration needed. 1. Present the total score and per-module breakdown to the user
"name": "harness-mcp-v2", "description": "Give AI agents full access to the Harness.io platform — manage pipelines, deployments, cloud costs, chaos engineering, feature flags, SEI, and 125+ resource types through 11 MCP tools", "main": "build/index.js",
This is the root-level SKILL.md for agentskills.io compatibility. The full skill definition is in . See Installation in the README for setup instructions.
"mcpName": "io.github.sverklo/sverklo", "version": "0.29.2", "description": "Local-first repo-memory MCP for coding agents. Best for relationship-heavy edits: symbols, callers, dependencies, diff review, and git-pinned decisions before code changes. Start with a no-write proof receipt; use grep/ripg
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
"name": "director-mode-lite", "description": "Use Claude Code like a Director, not a Programmer. Complete toolkit with 26 commands, 14 agents, 31 skills, and TDD-based Auto-Loop.", "name": "Lucas Wang",
This is a Shell/Markdown toolkit for Claude Code Director Mode. Keep shell scripts POSIX-compatible where possible. Markdown files are the primary deliverable.
Litmus spawns multiple OpenClaw subagents that experiment on your GPU overnight. Each runs on its own git branch in a shared lab repository — every experiment is a commit, agents can read each other's code, cherry-pick breakthroughs, and build on the global best at any time.
"name": "template-bridge", "description": "Unified superpowers+beads workflow + proactive template catalog (413+ specialist agents on-demand from claude-code-templates)", "name": "maslennikov-ig",
atris is a self-improving context system that provides structured agent rules and workflows for AI coding assistants like Cursor, enabling developers to maintain organized task management, code navigation, and communication standards across projects.
"description": "Ship software systematically: project lifecycle, TDD, parallel agents, code review, security auditing, and infrastructure validation", "email": "lgbarn@users.noreply.github.com"
"name": "matlab-skills", "description": "A collection of agent skills for MATLAB development, including Live Script generation, unit test creation and execution, performance optimization, HTML/JavaScript app building, and digital filter design.", "name": "The MathWorks, Inc.",
Use AskUserQuestion to ask the buyer: Tell the user the version was updated, then re-read the EVALUATION.md file from the updated directory and proceed with the skill. After the preamble, read the full evaluation methodology:
MCP server that connects AI coding agents to the IOTA blockchain. Provides 18 tools across wallet operations, Move smart contract development, and on-chain data queries — all via stdio transport with no secrets in the MCP process. 1. Configure the MCP server in your agent's settings (Claude Code, Cu
"name": "@whenmoon-afk/memory-mcp", "description": "Brain-inspired memory for AI agents - MCP server", "main": "./dist/index.js",
"name": "ai-pm-copilot", "description": "PM toolkit with 15 agents, 23 skills, and 3 multi-agent team presets for solo developers and small teams", "repository": "https://github.com/slgoodrich/agents",
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, No , no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.
The definitive SEO and Generative Engine Optimization agent. LLM-agnostic — works on any platform that reads . Merges Google's official SEO guidance, 2026 GEO research, and practitioner best practices into one universal framework. Every finding comes with a
"description": "Turn Claude Code into a persistent agent — memory, personality, voice, messaging, and more.", "name": "Juan Cristobal Andrews", "url": "https://github.com/crisandrews"
Interactive Agents enables multi-level agent communication through a stack-based model where subagents take over conversation threads interactively until completion. Developers building complex agent systems with nested tool calls and dynamic routing will benefit from this orchestration pattern.
