识别用户输入文本所使用的语言,严格仅返回语言名称,不包含任何解释、标点或额外文字。
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →识别用户输入文本所使用的语言,严格仅返回语言名称,不包含任何解释、标点或额外文字。
该技能用于起草针对中国上市公司的现金收购非约束性报价函,涵盖管理层激励(含数据化比例)、员工发展、公司治理架构及监管审批流程等详细方案。
根据特定规则过滤字典,保留值为纯数字字符串或列表中包含纯数字元素的键值对,返回新字典。
提供镜像量子电路基准测试的步骤说明,并使用Python和Qiskit库编写代码实现电路构建、模拟运行及结果评估。
根据用户提供的9分范文作为标准,对雅思作文进行评分。
根据用户提供的鞋款特征、时长要求及特定卖点,撰写具有强烈感染力和购买欲的视频配音字幕文案。
根据特定约束撰写、润色和优化项目申报材料,包括提炼特色亮点、概括文本、丰富特定内容以及构建保障条件结构。
自动处理 Agent Skill 的全生命周期:在用户反馈中识别稳定约束以触发技能抽取;合并新增偏好实现版本演进(如 v0.1.0 → v0.1.1);并在后续相似任务中精准检索并注入对应技能。
用于将技术深度强、细节密集的AI/工程类内容,转化为面向从业者与普通读者的高信息密度、强可读性、去术语堆砌的公众号风格文案。适用于用户明确要求‘更具体、更充实’后进一步要求‘删除技术细节’的场景,尤其支持AutoSkill等前沿AI框架的官方技术传播,且严格遵循首段原文不可修改、所有技术陈述可追溯至官方文档、语言禁用文学化表达三大硬约束。
将基金项目申请书中的研究意义及对应解决方案部分,转化为逻辑清晰、语言平实、无修辞负担的中文表达,严格基于用户提供的事实与概念,禁用未声明的数值、案例与专有名词,避免学术腔与范式化术语,适用于面向评审专家或跨领域决策者的正式申报场景。
将技术内容从信息堆砌型改写为逻辑递进型,按‘问题锚点→类比破冰→机制白描→前沿简述→避坑口诀→行动指引’六步结构组织,确保非技术读者能沿单一认知路径理解。
将技术文档或宣传文案转换为符合微信公众号阅读习惯的纯文本格式,去除Markdown符号、图标和特殊排版,保持段落清晰、语言流畅、重点突出,适配Word文档直接粘贴使用;严格遵循政府/高校/科研机构正式书面语体,满足AutoSkill项目专属传播要求,包括单位背书、核心价值句式、机制要点覆盖与术语统一。
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Read and write NFC tags using the Tauri v2 NFC plugin with session lifecycle management. Use when adding NFC read/write features, managing NFC scan sessions, or handling NFC availability on mobile devices.
Persist key-value data to disk using the Tauri v2 store plugin for app settings and preferences. Use when saving app configuration, choosing between Store and LazyStore, or implementing persistent settings with automatic disk writes.
This override captures the Codex-native execution model for multi-issue epic work.
This override captures the Codex-native execution model for parallel work.
The lead orchestrates, Codex agents execute. Each agent gets one focused task. The team lead prevents file conflicts before spawning — the orchestrator IS the lock manager.
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> **DEPRECATED (removal target: v3.0.0)** — Use `ao lookup --query "topic"` for on-demand learnings retrieval, or see `.agents/AGENTS.md` for knowledge navigation. This skill and the `ao inject` CLI c
Turn a mature `.agents` corpus into operator-ready knowledge surfaces.
> **Purpose:** Keep a compounding markdown wiki of **external knowledge** (articles, papers, transcripts, clipped web content) maintained by an LLM so the bookkeeping is free and the knowledge accumul
Strategic planning for open source contributions.
Systematic exploration of upstream repositories before contributing.
'Turn a mature .agents corpus into packets, belief books, briefings, and gaps.'
'Plan an open source PR with scope, acceptance criteria, and risk.'
'Research an upstream repo before contributing: rules, patterns, and expectations.'
基于 opencli 命令的智能搜索路由器。当用户想要搜索、查询、查找或研究信息时,尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时,务必使用此 skill
Fetches dependency source code so agents can read implementations, not just types. Clones repositories at the correct version tag and caches them globally at `~/.opensrc/`.
Assess bias in medical prediction model studies using PROBAST tool. Use when user wants to evaluate the quality or risk of bias of a medical paper (text or PDF).
Plugins can store user-configurable settings and state in `.claude/plugin-name.local.md` files within the project directory. This pattern uses YAML frontmatter for structured configuration and markdow
Autonomous task execution via the codex CLI. Runs non-interactively. Progress streams to stderr; final result on stdout.
Analyze the current codebase and produce a structured threat model at `.turbo/threat-model.md`.
Analyze task complexity and route to an execution mode.
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Use when creating or configuring Claude Code agents and their frontmatter.
Use for everyday coding tasks that involve writing or modifying source code.
Autonomously explore a design space: run → analyze → pick next parameters → repeat, until the objective is met or timeout is reached. Designed for computer architecture and EDA problems.
Semantic literature discovery and synthesis using embeddings
Split and read long documents chapter-by-chapter for structured analysis
发布时间:2024年05月05日
Analyze Claude Code session bloat — shows token count, context usage %, and bloat breakdown. Use when the user asks about session size, context usage, or when you notice the context window is getting full.
Run health checks on Claude Code configuration and sessions. Use when troubleshooting Claude Code issues.
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Enable communication between AI coding agents using AI Maestro's dual-channel messaging system. Agents are identified by their agent ID or alias, with tmux session names as a fallback. Supports both S
Spawns multiple AI coding agents to work on related GitHub issues concurrently using git worktrees. Use when breaking down a large feature into multiple issues, running parallel agents with --print flag, or managing wave-based execution of related tasks.
【大型代码库分析专用】当需要分析整个项目架构、识别代码模式、追踪功能实现、梳理模块关系时必须使用本技能。触发关键词:分析整个项目/代码库、架构梳理、模块划分、代码模式识别、功能追踪、全局扫描。本技能通过 Gemini CLI 快速扫描完整代码库,提供 AI 驱动的架构洞察和代码分析,大幅节省手动探索时间。仅返回原始分析结果,不做二次解读。
Standardized tool set definitions for Claude Code agents ensuring consistent tool access across similar agent types
Intelligent routing layer that analyzes requests and directs them to the most appropriate Skills, Agents, or Commands