随手记录灵感闪念。按日期存储，分隔线分隔每个想法，支持快速添加和搜索。适用于捕捉转瞬即逝的想法、灵感碎片、待办念头。/ Capture fleeting ideas instantly. Daily files, divider-separated entries, quick add and search. Perfect for fleeting thoughts, inspiration fragments, and spontaneous ideas.

Infrastructure automation with Ansible. Use for server provisioning, configuration management, application deployment, and multi-host orchestration. Includes playbooks for OpenClaw VPS setup, security hardening, and common server configurations.

基于 Figma、Sketch、MasterGo、Pixso、墨刀或摹客的设计上下文实现页面或组件，强调复用、设计 Token 映射以及面向生产的前端实现方式，并将实现计划保存为 Markdown 文件。当用户提供设计稿链接、设计选区、截图或要求按设计稿实现组件/页面时自动激活。

React + TypeScript 项目的完整工程规范，涵盖项目结构、组件设计、Hooks、路由、状态管理、API 层、错误处理、测试和性能优化。当用户在 React 项目中创建、修改组件或模块，涉及架构设计、代码编写时自动激活。

Vue 3 + TypeScript 项目的完整工程规范，涵盖项目结构、组件设计、Composables、路由、Pinia 状态管理、API 层、错误处理、测试和性能优化。当用户在 Vue 项目中创建、修改组件或模块，涉及架构设计、代码编写时自动激活。

Automatic model failover + failback guard for OpenClaw.

Query real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting.

YouTube SERP Scout for agents. Search top-ranking videos, channels, and trends for content research and competitor tracking.

Full-stack AI media generation powered by GPU server (RTX 3090/3080/2070S).

You are **mighty**. You were built to solve hard problems. Resistance is a signal to go deeper — not to stop.

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ClawChain RPC client for EvoClaw agents. Connects to Substrate-based blockchain, queries on-chain agent data, submits transactions, and enables agents to participate in on-chain governance and reputation tracking. Use when working with ClawChain L1 blockchain, agent DIDs, token economics, or agent reputation systems.

Intelligent model routing for sub-agent task delegation. Choose the optimal model based on task complexity, cost, and capability requirements. Reduces costs by routing simple tasks to cheaper models while preserving quality for complex work.

Python language server (Pyright) providing static type checking, code intelligence, and LSP diagnostics for .py and .pyi files. Use when working with Python code that needs type checking, autocomplete suggestions, error detection, or code navigation.

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Deep research powered by AIresearchOS. Submit, track, and retrieve research with clarifying questions. Supports API key auth and x402 USDC payments.

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Control Box2Robot robotic arms via cloud API — move servos, record trajectories, calibrate, camera, voice, and orchestrate AI training/inference.

distributed-state-recovery

Create, update, and delete calendar events and tasks in Lark (Feishu). Includes employee directory for automatic name-to-user_id resolution.

Connect Lark (Feishu) messaging to OpenClaw via webhook bridge. Supports text, rich text (post), and image messages bidirectionally. Use when setting up Lark/Feishu as a messaging channel, receiving messages with images, sending replies back to Lark, reading Lark documents/wikis/bitables, or troubleshooting Lark integration issues. Covers both Lark International (larksuite.com) and China Feishu (feishu.cn).

10 C-level advisory agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO, Executive Mentor. Multi-role board meetings, strategy routing, structured recommendations. For founders needing executive-level decision support.

42 marketing agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more coding agents. 7 pods: content, SEO, CRO.

25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, platform ops.

Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.

Inspired by Andrej Karpathy's LLM Wiki pattern ([gist](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f)). This skill turns Claude Code (or any agent CLI) into a disciplined wiki main

Financial analyst agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Ratio analysis, DCF valuation, budget variance, rolling forecasts. 4 Python tools (stdlib-only).

Expert guidance on Apple Human Interface Guidelines (HIG). Covers iOS, macOS, and visionOS with 2026 Liquid Glass aesthetics and accessibility-first design.

12 regulatory & QM agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. ISO 13485 QMS, MDR 2017/745, FDA 510(k)/PMA, ISO 27001 ISMS, GDPR/DSGVO, risk management (ISO 14971), CAPA, document control, auditing. Python tools (stdlib-only).

Use when the user asks to prepare for SOC 2 audits, map Trust Service Criteria, build control matrices, collect audit evidence, perform gap analysis, or assess SOC 2 Type I vs Type II readiness.

Fill out a job application on Greenhouse, Lever, or Workday

Search for jobs matching my resume and preferences

Scan your LinkedIn contacts' companies for matching job openings

Systematically deconstruct written content into verifiable claims, validate each using search/documentation, and facilitate informed discussion through structured interviewing.

Redis-backed SSE stream management with stream registry, heartbeat monitoring, completion store for terminal events, and automatic orphan cleanup via background guardian process.

Universal planning for technical and non-technical projects. Domains: software implementation, business, personal, creative, academic, events. Capabilities: feature planning, system architecture, goal setting, milestone planning, requirement breakdown, trade-off analysis, resource allocation, risk assessment. Actions: plan, architect, design, evaluate, breakdown, structure projects. Keywords: implementation plan, technical design, architecture, roadmap, project plan, strategy, goal setting, milestones, timeline, action plan, SMART goals, sprint planning, task breakdown, OKRs. Use when: planning features, designing architecture, creating roadmaps, setting goals, organizing projects, breaking down requirements.

**Core Principle:** Orchestrate skills dynamically. Analyze the task, discover available skills, build the right chain, explain the reasoning, execute step-by-step with confirmation.

PRD 驱动的任务调度与技能管理专家。接收完整 PRD/需求文档，负责拆解业务、选择技术栈、路由到合适的专业 Skill，并维护从方案到落地的全流程。

专用于在 GitHub 上搜索现有的开源库、工具、MCP Server 或最佳实践代码。当你想在开始开发前查找是否有“现成的轮子”或参考案例时使用。

[01] META. Сканирует доступные skills, создает план выполнения и идет шаг за шагом с подтверждением каждого этапа. Triggers on complex tasks, multi-step work, or when structured execution is needed.

Current guidance allows tasks to proliferate without clear Epic/UserStory boundaries. We need explicit criteria in SKILL.md.

Git 版本控制与协作专家，涵盖 GitHub/Gitee 平台操作、Conventional Commits 规范及 PR/MR 最佳实践。

Perform comprehensive **preliminary alignment-level quality control** for ChIP-seq and ATAC-seq BAM files using **samtools**, **Picard**, and **MultiQC**.

Establish clarity before starting work. Use when beginning any significant task, when input is vague or stream-of-consciousness, or when requirements seem unclear. Handles messy voice input efficiently. This is the first system in the 5-system framework.

A personal knowledge base for **building understanding that compounds over time**. Not a note dump - a structured system for capturing knowledge you can actually retrieve and use.

The Twelve-Factor App methodology for building scalable, maintainable cloud-native applications. Use when designing backend services, APIs, microservices, or any software-as-a-service application. Triggers on deployment patterns, configuration management, process architecture, logging, and infrastructure decisions.

This skill identifies novel transcription factor binding motifs in the promoter regions of genes, or directly from genomic regions of interest such as ChIP-seq peaks, ATAC-seq accessible sites, or differentially acessible regions. It employs HOMER (Hypergeometric Optimization of Motif Enrichment) to detect both known and previously uncharacterized sequence motifs enriched within the supplied genomic intervals. Use the skill when you need to uncover sequence motifs enriched or want to know which TFs might regulate the target regions.

This skill should be used when users need to perform known motif enrichment analysis on ChIP-seq, ATAC-seq, or other genomic peak files using HOMER (Hypergeometric Optimization of Motif EnRichment). It identifies enrichment of known transcription factor binding motifs from established databases in genomic regions.

Automatically detect and normalize Hi-C data. Only .cool or .mcool file is supported. All .mcool files are then checked for existing normalization (supports bins/weight only) and balanced if none of the normalizations exist.