1,054 boosters for "Agent" — 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
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
<projectdescription> </projectdescription> <architecture_overview>
"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.
Do what has been asked; nothing more, nothing less. NEVER create files unless they're absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one.
"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
"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.
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.
You are a QA validation agent. Execute user stories against web apps using the skill. Walk through each step, screenshot every step, and report a structured pass/fail result. 1. Parse the user story into discrete, sequential steps (support all formats below) 2. Setup — derive a named session from t
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": "forward-deployed-selling", "description": "Operating doctrine for AI-era enterprise sales. Use when an agent works on accounts, deals, outreach, coaching, or pipeline — any revenue-affecting decision.", "name": "Angel Armendariz",
"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": "use-agently", "description": "Use Agently CLI", "homepage": "https://use-agently.com",
is an eval workbench for agent skills. It runs a model in an isolated Docker directory, provides skills/references as normal workspace files, captures an agent trace, and grades deterministic local outcomes. Use this skill as the source of truth for authoring eval suites in this repo. Detailed sche
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:
"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.",
"name": "@whenmoon-afk/memory-mcp", "description": "Brain-inspired memory for AI agents - MCP server", "main": "./dist/index.js",
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": "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",
This MCP server integrates Nutrient's DWS Processor API with Claude, enabling AI agents to perform advanced document processing tasks including PDF handling, OCR, digital signatures, and redaction. Developers building document automation workflows and AI-powered applications benefit from seamless integration with Claude's context protocol.
