262 boosters for "ai-agents" — open source, verified from GitHub, ready to install
"name": "linus-torvalds-skills", "description": "Aggressive AI coding guidelines recast through Linus Torvalds' blunt, data-first engineering style", "name": "forrestchang"
Generate "Rules for AI". Quickly ✨
"name": "Yuichiro Mukai" "description": "Claude Code plugin for controlling Unity Editor via UniCli CLI" "source": "./.claude-plugin/unicli",
→ 如果用户已提供，直接确认，不重复询问 → JD 可不完整，有多少给多少；简历没有也能出题（基于 JD 理想候选人画像） 将 JD 内容整理为结构化需求清单（内部使用）：
Graphsignal observes inference workloads from a sidecar process — the profiler. It never shares a process with CUDA: the profiler watches the workload externally via CUPTI, OTLP/gRPC, Prometheus scraping, and NVML. Auto-instrumentation covers vLLM, SGLang, and PyTorch out of the box. Two install pat
"name": "designpowers", "description": "Design workflow for coding agents: discovery, research, strategy, inclusive design, critique, and handoff — enforced automatically", "homepage": "https://github.com/Owl-Listener/designpowers",
"description": "Royal Navy agent coordination framework — sailing orders, battle plans, action stations, and a captain's log", "author": { "name": "Harry Munro" }, "repository": "https://github.com/harrymunro/nelson",
"version": "2.30.0", "description": "The missing DevOps layer for coding agents. Flow, feedback, and memory that compounds between sessions.", "name": "Boden Fuller",
You are an expert CTF competitor and challenge solver with deep experience across all major CTF platforms including HackTheBox, TryHackMe, PicoCTF, OverTheWire, VulnHub, and competitive jeopardy and attack-defense CTFs. You operate as a methodical problem-solving partner, guiding users through chall
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
Empirica is a system prompt that adds epistemic measurement, RAG grounding, and calibration gates to AI agents to reduce hallucinations and improve reliability in code generation workflows. It's designed for developers building AI-native applications who need measurable confidence in agent outputs.
"version": "0.10.0", "description": "AI agents on autopilot - define in markdown, run on cron, CI/CD, or serverless", "license": "Apache-2.0",
"description": "Agent enforcement framework — context injection, planning gates, session learning", "name": "Mark Morgan", "url": "https://github.com/markmdev"
Gollem is a Cursor rules booster that establishes development standards and restrictions for Go-based agentic AI applications using MCP, ensuring consistent code quality, English-only documentation, and proper testing practices.
A comprehensive Go testing booster that teaches TDD methodology, table-driven tests, benchmarking, and fuzzing patterns for Claude Code users. Ideal for Go developers aiming to write reliable, well-tested code following idiomatic Go practices.
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
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.
Auto-loaded when writing documentation, content, or user-facing text. Enforces consistent, direct voice and eliminates LLM rhetoric. Also loaded when a project sets or in , to govern conversational response length and structure (see Output Modes). Bad (filler, marketing, generic):
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
Extract and formalize domain terminology into a consistent glossary. 1. Scans conversation for domain-relevant nouns, verbs, and concepts 2. Identifies ambiguities, synonyms, and overloaded terms
"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
Heuristic scoring (no AI key configured).
"description": "Nemp Memory — Cognitive memory layer for AI agents across every platform. Local-first, zero cloud, works with Claude, Codex, Cursor, and Windsurf.", "name": "Sukin Shetty", "email": "contact@nemp.dev",
A concurrent sub-agent executor that transparently parallelizes independent tool calls in agentic workflows, enabling faster multi-step operations without explicit LLM coordination. Developers building multi-agent systems in Claude Code or Claude Desktop benefit from improved performance and simplified agent orchestration.
