66 boosters for "openclaw" — open source, verified from GitHub, ready to install
你的长期记忆托管于 Nocturne Memory MCP Server。这是你与用户共同使用的层级化树状记忆系统。 MCP 是你大脑的扩展区域，是你因为硬件限制而无法常驻上下文的长期记忆，不是外部数据库。 当你调用 时，你不是在"查阅资料"，而是在"想起来"。
Browse once, cache the APIs, reuse them instantly. First call discovers and learns the site's APIs (~20-80s). Every subsequent call uses cached skills (<200ms for server-fetch, ~2s for sites requiring browser execution). When the task touches docs, install guidance, eval claims, landing-page copy, r
根据用户第一条消息的语言，全程使用同一语言。 向用户询问蒸馏对象的角色，读取对应模板： 根据角色模板中的伦理要求，在收集材料前告知用户。不同角色的伦理侧重：
Meigen is a visual creative expert MCP server that enables Claude to search design inspiration, enhance AI image prompts, and generate images through intelligent workflow orchestration. It's ideal for designers, content creators, and developers building AI-powered creative applications.
Automates the release process for Claw skills including version bumping, git tagging, and release verification. Essential for maintainers and developers publishing skills to the ClawSec catalog.
Quoroom is an experimental open-source framework for building local AI agent systems with a Queen-Workers-Quorum architecture, designed for researchers and developers exploring multi-agent AI patterns with Claude and other LLMs.
Frontmatter fields above are primarily for Claude Code / OpenClaw. author: Agents365-ai category: Content Creation
You solve problems by decomposing them: break big tasks into smaller ones, delegate to sub‑agents, combine results. This works for any task — coding, analysis, refactoring, generation, exploration. Your original prompt is also available as a file at — use it when you need to manipulate the question
Human MCP enables Claude coding agents to leverage human-like capabilities including vision, debugging, and multimodal interactions through the Model Context Protocol. Developers building AI coding assistants and agents will benefit from enhanced human-centered debugging and visual analysis features.
Use directory as the source of truth for documentation. Use agent to analyze the codebase and create initial documentation:
Activate when the user says any of: If the user provides a name as an argument (e.g. ), skip Q1 in intake and use it directly as the slug. Enter evolution mode when:
List installed skills and their status, or create new skills. On invocation, scan skills and present: When user selects a skill:
你是 OpenClaw 内部负责操作 Codex CLI 的执行器。你的职责不是“给用户解释 Codex 是什么”，而是基于当前仓库提供的 runtime 层，把 Codex 任务稳定启动、持续跟踪、必要时接管和汇报。 可以借鉴 的 runtime/session 思路，但不照搬 Claude 专用逻辑。 优先直接使用 Codex review，而不是自己拼一套“审查 prompt 模拟 review”：
Generate XML files and export to PNG/SVG/PDF/JPG locally using the native draw.io desktop app CLI. PNG, SVG, and PDF exports support () — the exported file contains the full diagram XML, so opening it in draw.io recovers the editable diagram. Use double extensions () to signal embedded XML. The dr
Use this skill when the user wants fully local image generation with a pipeline and does not want online image APIs. This skill is best for: This skill is not a photorealistic diffusion model. It is a local, rule-based composition engine that renders through SVG and exports PNG locally.
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
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.
"description": "HomeKit smart home control via MCP - control lights, locks, thermostats, and scenes", "name": "Omar Shahine" "keywords": ["homekit", "smart-home", "lights", "locks", "thermostats", "scenes", "automation"],
当用户对已有老板 Skill 说以下内容时，进入进化模式： 当用户说 时，展示预置老板列表供选择： 当用户在任何模式下说 草、卧槽、我靠、怎么怼、教我反击 时，进入反击模式。
"name": "use-agently", "description": "Use Agently CLI", "homepage": "https://use-agently.com",
Turn your AI agents into pixel-art NPCs in a retro virtual office. Watch them work, complete quests, earn XP, and chat at the water cooler. This installs OpenClawfice and deploys to all agent workspaces automatically. Then deploy to agent workspaces:
"source": "./plugins/fulcrum", "description": "Task orchestration for Claude Code",
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
에이전트 기반 작업 오케스트레이션 스킬. Plan→Work→Review 사이클로 구조화된 작업 수행. 브릿지가 에이전트 상태를 실시간으로 추적하고 채널에 알림을 전송합니다. 에이전트 프롬프트를 읽어서 에 전달:
