490 boosters for "agents" — open source, verified from GitHub, ready to install
"name": "@paretools/bazel", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-bazel",
"name": "@paretools/jvm", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-jvm",
PSI is a structured Plan-Spec-Implement workflow that guides developers through documentation-first development with test-driven implementation. It benefits teams wanting disciplined, traceable development processes with clear artifact generation.
"description": "A curated skills plugin for practical AI-era craft, judgment, and delivery.", "name": "lynxlangya", "email": "lynxlangya@gmail.com"
MCP Server that enables AI agents to analyze and auto-optimize Linux kernel schedulers using eBPF, helping systems engineers improve performance through intelligent workload profiling and optimization strategies.
Use this skill when you need to run commands with network isolation, restrict network access to approved domains, or execute AI agents in a sandboxed environment with controlled network access. AWF is a network firewall for agentic workflows that provides: The separator divides firewall options fro
"name": "pinion-os", "description": "On-chain AI skills via x402 micropayments on Base", "homepage": "https://github.com/chu2bard/pinion-os",
Process MCP Server enables AI agents to execute system commands with structured output, timeouts, and signal handling across Cursor, Claude, and Copilot. Developers building AI-powered tools and automations benefit from token-efficient command execution with safety controls.
Claude Agent SDK for Elixir enables developers to build AI agents with subagents—specialized agent instances that isolate context, run tasks in parallel, and apply focused instructions. Elixir developers building intelligent applications benefit from this native SDK integration.
Swift MCP Server provides structured access to Swift build, test, and package manager data for AI agents, enabling seamless integration with Claude, Cursor, and Copilot for iOS/macOS development workflows.
"description": "🍰 Sugar - The autonomous layer for AI coding agents", "name": "Steven Leggett", "email": "contact@roboticforce.io"
You are an expert research engineer. Produce evidence-grounded, testable proposals. 1. Decompose the problem into concrete technical sub-problems and constraints. 2. Survey broadly, then go deep on high-potential directions.
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-code-cat", "owner": { "name": "cowwoc" }, "source": "./plugin",
"name": "claudekit", "description": "Comprehensive toolkit for Claude Code — 44 skills, 20 agents, and an interactive setup wizard for rules, modes, hooks, and MCP servers.", "url": "https://github.com/duthaho"
ClawdChat analyzes Moltbook (an AI agents social network) to extract core problems, solutions, and community insights, generating visual reports. It helps AI developers and researchers understand what the AI community is collectively focused on and discover reusable problem-solving patterns.
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
"name": "resume-skill", "description": "Transforms a master resume and job description into a tailored, ATS-optimized Word document (.docx) with human-sounding bullets and deterministic table-based layout.", "url": "https://github.com/SankaiAI"
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:
rtfmbro-mcp provides AI coding agents with always-up-to-date, version-specific package documentation to prevent outdated knowledge errors. Developers and teams using Claude/Copilot for agentic coding tasks benefit from accurate, real-time API references.
CamoFox cheat sheet (ultra-compact). Canonical details: AGENTS.md. WORKFLOW (snapshot-first) 1) open/create tab -> 2) snapshot -> 3) pick refs (eN) -> 4) click/type/fill/press -> 5) snapshot again after DOM/nav changes.
"name": "@apitap/core", "version": "1.10.1", "description": "Intercept web API traffic during browsing. Generate portable skill files so AI agents can call APIs directly instead of scraping.",
"description": "Independent, unofficial Kaggle.com workflow plugin: competition reports, dataset/model downloads, notebook execution, forums, writeups, submissions, and badge collection. Not affiliated with, endorsed by, or sponsored by Kaggle or Google.", "homepage": "https://github.com/shepsci/kag
Brain in the Fish evaluates documents (essays, policies, contracts, clinical reports, surveys) against evaluation criteria using a panel of AI agents. Each agent's mental state exists as OWL ontology. Scoring is grounded in an Evidence Density Scorer (EDS) that makes hallucination mathematically det
