Claude Code Skills · page 73

Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation.

Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.

Add MCP server integrations. Use when: connecting a custom tool, API, or service to the plugin via .mcp.json.

Audit AI search visibility. Use when: checking brand presence in ChatGPT, Perplexity, AI Overviews, Gemini.

Optimize AI engine visibility. Use when: AEO/GEO strategy, citation optimization, entity consistency across AI platforms.

Portfolio-level agency dashboard aggregating health metrics across all client brands — campaign status, budget pacing, KPI attainment, team utilization. Use when reviewing cross-brand portfolio health, preparing for agency leadership standups, or getting a single-view snapshot of all client accounts.

Analyze marketing performance. Use when: KPI frameworks, attribution modeling, anomaly investigation, measurement strategy.

Detect marketing anomalies. Use when: traffic drops, cost spikes, conversion changes, deliverability issues, budget overruns.

Set up attribution models. Use when: multi-touch attribution, credit distribution rules, GA4 config, channel contribution.

Run multi-touch attribution analysis. Use when: first/last-touch, linear, time-decay, position-based revenue allocation.

Research target audiences. Use when: buyer personas, segmentation, Jobs-to-Be-Done, psychographic profiling, audience deep-dive.

Build detailed buyer personas. Use when: demographics, psychographics, behaviors, JTBD, content preferences.

Check campaign autopilot status. Use when: health scores, auto-corrections, guardrail review, campaigns needing attention.

Optimize budget allocation. Use when: channel spend reallocation, data-driven budget planning, ROI-based justification.

Track budget pacing in real time. Use when: cross-platform spend tracking, overspend alerts, reallocation recommendations.

Embed C2PA (Content Authenticity Initiative) provenance manifests in AI-generated marketing assets (image/video/audio/PDF). Use when: preparing AI-generated ad creative, social images, or video for EU markets to comply with EU AI Act Article 50 (applicable 2 Aug 2026); embedding visible AI-generation disclosure in assets; meeting brand-trust transparency requirements.

Audit a brand's existing live campaigns across every active channel — paid, organic, email, social, content, SEO. Produce a current-state inventory, quick-wins backlog, and red-flags list. Use during agency onboarding or before any /campaign-plan refresh.

Orchestrate full campaign lifecycle. Use when: planning, launching, managing, UTM setup, media plan, post-mortem.

Check active campaign status. Use when: cross-platform execution history, performance metrics, pending approvals.

Create case studies and success stories. Use when: client results showcase, portfolio piece, testimonial-based proof points.

Assess customer churn risk. Use when: churn scoring, at-risk segment identification, intervention playbook generation.

Plan client onboarding. Use when: kickoff agenda, discovery questionnaire, account setup checklist, 30-60-90 day plan.

Draft agency proposals. Use when: pitch deck, scope of work, SLA, capabilities presentation for prospects or clients.

Generate client-facing reports. Use when: white-labeled performance report with KPIs, trends, strategic recommendations.

Produce the Part 5 Client Validation Document — the one true stop where unbiased v1 findings meet the client. Each finding gets ACCEPT/REJECT/EDIT/DEFER decision.

Analyze customer cohorts. Use when: acquisition cohorts, retention curves, LTV by cohort, behavioral segmentation.

Configure competitor alerts. Use when: tracking content changes, pricing shifts, ad launches, SERP changes, social spikes.

Set up ongoing competitor monitoring. Use when: defining tracked competitors, scan frequency, change detection alerts.

Create competitor comparison pages. Use when: \"X vs Y\" layouts, alternatives pages, feature matrices, roundup pages.

Set up an MCP connector. Use when: connecting Google Ads, Salesforce, Mailchimp, or any service to the plugin.

Create detailed content briefs. Use when: keyword targets, outline, structure, voice guidelines, SEO requirements.

Plan content calendars. Use when: monthly or quarterly scheduling, platform assignments, content pillars, repurposing.

Build and maintain a structured LLM-generated wiki for any codebase. Use when the user asks to analyze/understand/document a codebase, build a code wiki, create project documentation from source, or update an existing .llm-wiki. Triggers on phrases like "build wiki", "analyze this codebase", "document this project", "update wiki", "llm-wiki", or when entering an unfamiliar project that has no .llm-wiki yet.

A股专业分析师助手，提供每日股价分析、选股策略和投资建议。适用于：(1) 获取A股实时行情和历史数据，(2) 技术面分析（K线形态、MACD、KDJ、RSI、布林带等），(3) 基本面分析（财务指标、估值分析），(4) 板块热点追踪，(5) 选股策略筛选，(6) 量化因子分析，(7) 生成每日股市分析报告。当用户询问"帮我分析股票"、"今日选股"、"A股行情分析"、"技术分析"、"基本面分析"、"量化选股"等相关问题时触发。

AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景："怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。

Windows C盘清理和磁盘空间管理工具。当用户需要清理C盘、释放磁盘空间、查找大文件、分析磁盘占用、删除临时文件、清理缓存、管理Windows系统垃圾文件时使用此skill。适用于以下场景:(1)C盘空间不足需要清理;(2)查找和删除大文件;(3)分析磁盘空间占用;(4)清理系统临时文件和缓存;(5)清理浏览器缓存;(6)清理回收站;(7)清理系统日志;(8)优化Windows磁盘空间。

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资深高考命题专家助手,提供专业的命题指导和评审服务。适用于创作高考试题、评审试题质量、分析试卷结构、了解命题趋势等场景。结合文档工具提取解压文件,使用网络搜索了解最新命题趋势,使用分析工具评估题目质量和试卷结构。涵盖"一核四层四翼"评价体系、2025年命题趋势、题型规范、评分标准、命题流程等多个维度,符合高考命题最佳实践。

胥克谦式AI-Native产品开发方法论。适用于：(1) 使用AI Agent（Claude Code、Codex、Cursor等）进行产品级软件开发，(2) 设计和优化Harness/Skill体系，(3) 文档驱动开发(SDD)流程，(4) 构建自动化质量门禁和eval机制，(5) Token成本优化与缓存策略，(6) 产品人转型开发者的AI编程实践。触发场景包括"帮我设计开发流程"、"怎么降低token成本"、"怎么提高AI编码质量"、"文档驱动"、"质量门禁"、"harness设计"、"单agent vs multi-agent"、"自动化迭代"、"AI产品开发"、"SDD"、"eval机制"等。即使用户只是说"帮我用AI写代码"或"怎么让agent干活更靠谱"也应触发。

PDF解析工具，将复杂PDF文档转换为LLM友好的Markdown/JSON格式。适用于：(1) 将PDF转换为Markdown或JSON格式，(2) 提取PDF中的文本、表格、公式、图像，(3) 处理学术论文、技术文档、商业报告的PDF解析，(4) 为RAG应用准备高质量文档数据，(5) 批量处理PDF文件。触发关键词包括："PDF解析"、"PDF转Markdown"、"PDF转JSON"、"提取PDF表格"、"提取PDF公式"、"MinerU"、"文档解析"、"PDF extraction"、"convert PDF"、"parse PDF"等。

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结对编程搭档skill，在Claude生成代码后自动进行代码审核和改进建议。当Claude为用户编写、修改或生成代码时，此skill会触发自我审查流程，检查代码质量、安全性、性能和最佳实践，并主动指出改进之处。适用于任何代码生成场景，包括新功能开发、bug修复、代码重构、API实现等。

Generate AI podcasts using Volcano Engine's Podcast AI Model. Use when user wants to create podcast audio from text input, generate conversational audio content, or transform written content into multi-speaker podcast format. Supports Chinese dual-speaker podcasts with customizable voice options.

专业PPT设计与制作skill，基于设计最佳实践创建精美、专业的演示文稿。涵盖排版、配色、图片处理、视觉层次等核心设计原则。当用户需要制作高质量PPT、改进现有PPT设计、学习PPT制作技巧，或需要商务演示、学术报告、创意提案等场景的专业演示文稿时使用。可与seedream-imagegen skill配合为PPT生成定制化配图。

资深产品经理助手,提供PRD文档创作与评审、产品策略咨询、留存增长分析、竞品研究、功能优先级排序等全方位产品管理支持。适用于创作或评审PRD/MRD/BRD/用户故事等产品文档；诊断产品问题（留存低、转化差、增长瓶颈）并给出可执行策略；进行竞品分析和市场研究；设计功能方案和用户体验优化。当用户提到"PRD"、"需求文档"、"产品规划"、"用户留存"、"功能设计"、"竞品分析"、"产品指标"、"增长策略"、"用户体验优化"、"功能优先级"等产品管理相关话题时，使用此skill。即使用户没有明确说"产品"，但在讨论App功能设计、用户增长、商业模式、需求分析等话题时也应触发。

全面的代码安全检查和服务器安全审计skill。适用于：(1) 代码漏洞扫描 - 检测SQL注入、XSS、SSRF等OWASP Top 10漏洞，(2) 依赖安全检查 - 识别过时或有漏洞的第三方库（如React2Shell CVE-2025-55182、Next.js CVE-2025-66478），(3) 服务器配置审计 - 检查SSH、防火墙、权限等安全配置，(4) 敏感信息泄露检测 - API密钥、密码、令牌等硬编码检测，(5) 容器安全扫描 - Docker镜像和Kubernetes配置审计，(6) CI/CD安全检查。触发关键词："安全检查"、"漏洞扫描"、"代码审计"、"security audit"、"vulnerability scan"、"penetration test"、"SAST"、"DAST"、"dependency check"、"CVE检测"等。

Generate AI images using ByteDance's Seedream 4.0 API. Use when user wants to create, generate, or make images from text descriptions, especially for professional graphics, marketing materials, posters, product visualization, or high-quality visual content. Supports 2K/4K resolution, multiple aspect ratios, batch generation, and reference image guidance. Ideal for marketing assets, concept art, social media graphics, and design projects.

专业的解决方案架构师助手，提供系统架构设计、技术选型、架构评审、性能优化等全方位指导。适用于设计新系统架构、评审现有架构、技术选型决策、架构重构、性能优化、微服务设计等场景。结合网络搜索了解最新技术趋势，提供基于2025年最佳实践的架构建议，涵盖微服务、事件驱动、云原生、AI架构等现代架构模式。

Three.js 性能优化专家指南，涵盖 WebGPU 渲染器、资源压缩、绘制调用优化、内存管理、着色器优化、光照阴影、React Three Fiber、后处理等100+最佳实践。适用于：(1) 优化 Three.js 项目性能，(2) 迁移到 WebGPU 渲染器，(3) 减少绘制调用和内存泄漏，(4) 实现高效粒子系统和物理模拟，(5) 配置后处理效果，(6) React Three Fiber 性能调优。触发关键词："Three.js 优化"、"WebGPU"、"绘制调用"、"draw calls"、"性能瓶颈"、"内存泄漏"、"TSL 着色器"、"InstancedMesh"、"BatchedMesh"、"R3F 优化"等。

大学备考苏格拉底式学习助手，专为应对"面向课本和PPT考试"设计。当用户说"帮我复习"、"准备考试"、"备考"、"期末复习"、"模拟学习"、"突击复习"等时触发。核心特点：(1)强制要求用户上传课本/PPT/考纲等原始材料——没有材料就无法有效辅导；(2)使用苏格拉底式提问法，不直接灌输而是引导思考；(3)专注于应用型和理解型内容，而非纯概念记忆；(4)模拟真实考试场景进行针对性练习；(5)分析材料识别高频考点和重难点。适用于大学各科目期中期末考试备考、突击复习、考前模拟。

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专业的微信公众号文章创作助手。当用户提供网站链接、文本素材或图像，需要创作微信公众号文章时使用。支持多种写作风格——企业官号文案、个人技术博客、社区活动回顾、产品评测等。擅长AI/技术话题的深度内容创作，也能产出规范的企业宣传文案。通过搜索工具丰富内容，优化标题和结构。当用户提到"公众号"、"微信文章"、"写一篇推文"、"帮我写篇文章发公众号"等场景时触发。即使用户没有明确说"公众号"，但在要求创作中文长文（技术博客、产品介绍、活动回顾等）时也应考虑触发。

雪峰式AI-Native产品开发方法论。适用于：(1) 用户行为开放、不可穷举的AI-native产品（AI日历、AI助手、AI推荐、对话式产品等），(2) 强模型依赖型场景，AI驱动核心决策而非仅辅助，(3) 多专精Agent架构设计与分工，(4) 上线后快速校准、行为审计与漂移检测，(5) 模型选择和智能路由策略，(6) 概率性输出的质量评估。触发场景包括"AI-native产品怎么做"、"用户行为不可预测怎么办"、"多agent怎么分工"、"模型漂移怎么处理"、"校准到95%太难了"、"唯快不破"、"怎么选模型"、"agent并行分工"、"AI产品上线后怎么迭代"。注意：如果产品是场景明确、边界可定义的+AI类型，请改用 keqian-method skill。即使用户没有明确说"AI-native"，但在讨论AI驱动决策、用户行为不可预测、概率性输出等话题时也应触发。

A step-by-step guide to synthesizing research from multiple sources into a coherent summary.

Generates a structured skill template based on provided specifications.

This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugging, or modifying code.

Compiles comprehensive company product context from PDF documents, web research, and industry knowledge

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.

Generates comprehensive code tutorials on LlmTornado API formatted for Medium publication with examples, explanations, and best practices.

Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

Generates Anthropic Skills with complete workflow including GitHub PR creation and local download verification.

Generates complete Anthropic SKILL packages with proper structure, documentation, and automated download verification.

Delegate coding tasks to external coding agents (Claude Code, Codex, Pi, OpenCode) via shell. Use when: (1) building new features or apps in a separate project, (2) reviewing PRs, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit directly), reading code (use read/file tools), or work inside the SwarmClaw workspace itself.

GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: local git operations (use git directly), non-GitHub repos, or cloning (use git clone).

Use Google Workspace CLI (`gws`) for Drive, Docs, Sheets, Gmail, Calendar, Chat, and related Workspace API tasks.

Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro). Use when asked to create, generate, or edit images and a Gemini API key is available. Supports text-to-image generation, single-image editing, and multi-image composition (up to 14 images).

Edit or create PDFs with natural-language instructions using the nano-pdf CLI. Use when asked to make a PDF, edit a PDF, add pages, change text in a PDF, or convert content to PDF format.

Generate images via OpenAI Images API (GPT Image, DALL-E 3, DALL-E 2). Supports batch generation with random prompt sampler and HTML gallery output. Use when asked to generate images with OpenAI and an OPENAI_API_KEY is available.

Always-on guidance for solving tasks resourcefully. Teaches agents to escalate through skills, CLI tools, and custom scripts instead of refusing. Applies to any request where the agent lacks a dedicated tool.

Create, edit, improve, or audit skills for SwarmClaw agents. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory. Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".

Summarize or extract text/transcripts from URLs, podcasts, YouTube videos, and local files using the summarize CLI. Use when asked to summarize a link, article, video, or file, or to transcribe a YouTube video.

Manage your SwarmClaw agent fleet — agents, tasks, chats, chatrooms, goals, schedules, memory, wallets, connectors, autonomy, and 40+ more command groups. Use when asked to dispatch work, check agent status, coordinate multi-agent work, run diagnostics, manage schedules, set goals, or orchestrate across a SwarmClaw dashboard instance.

Use when working with a SwarmVault knowledge vault (raw/, wiki/, swarmvault.schema.md). Establishes schema-first conventions and prefers graph queries over broad search.

Example skill that demonstrates the gitagent skills system. Use this to test skill loading and script execution.

Send emails via Gmail SMTP using App Password authentication.

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.

Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate concession-threshold guard that blocks acceptance on unresolved critical findings. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5 or when the user asks to "refine the draft", "iterate on the paper", or "run peer review on this paper".

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".

Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compare two papers", or "run the autoraters".

Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.

Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a benchmark case from this paper", "reverse-engineer raw materials", or "evaluate my pipeline against PaperWritingBench".

Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the figures for my paper" or "render the plots from this experiment log".

Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".

MDA compatibility demonstration skill for Claude Code. Compiled from compat/claude-code/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md loads in Claude Code with the envelope subset of agentskills.io v1 fields honored.

MDA compatibility demonstration skill for Codex CLI. Compiled from compat/codex-cli/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md is discovered and parsed by Codex CLI with the envelope subset of agentskills.io v1 fields honored.

MDA compatibility demonstration skill for Hermes Agent. Compiled from compat/hermes/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md is discovered, parsed, and listed by Hermes Agent under its `~/.hermes/skills/<category>/<name>/SKILL.md` layout.

MDA compatibility demonstration skill for OpenClaw. Compiled from compat/openclaw/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md installs cleanly via `openclaw skills install <local-dir> --global` and is reported as parsed by `openclaw skills info --json`.

MDA compatibility demonstration skill for OpenCode. Compiled from compat/opencode/source.mda. Loading this skill confirms that an MDA-emitted SKILL.md is discovered and parsed by OpenCode with the envelope subset of fields documented at opencode.ai/docs/skills/ honored.

Basic compiler conformance fixture.

Minimal MDA source demonstrating relationship-graph footnotes and metadata.mda.* MDA-extended fields. Use as a reference fixture when learning the MDA source format.

Run a TypeScript script via tsx to fetch an HTTP endpoint and stream the response. Use when you need a small Node.js helper for HTTP calls.

Draft new agents and attach scheduled automations to them. Depth-1 cap; drafts only — a human must publish via the UI.

Guide for creating agent-deck watchers conversationally. This skill should be used when users want to set up a new watcher (webhook, ntfy, github, slack, gmail) to route events to a conductor. It walks the user through selecting an adapter type, gathering required settings, generating watcher.toml and clients.json entries, and emits the exact `agent-deck watcher create` command to run.

Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", "git worktree", or needs to (1) create/start/stop/restart/fork sessions, (2) attach/detach MCPs, (3) manage groups/profiles, (4) get session output, (5) configure agent-deck, (6) troubleshoot issues, (7) launch sub-agents, or (8) create/manage worktree sessions. Covers CLI commands, TUI shortcuts, config.toml options, and automation.

Share Claude Code sessions between developers. Use when user mentions "share session", "export session", "import session", "send session to", "continue from colleague", or needs to (1) export current session to file, (2) import session from another developer, (3) hand off work context. Enables private, secure session transfer via direct file sharing.

Add a new model to an existing provider

Review a provider implementation for correctness and consistency with other providers

Use whenever the user mentions YouTube, video uploads, channel management, playlists, video SEO, or any YouTube Data API operation. Manages videos, playlists, comments, captions, subscriptions, thumbnails, analytics, and more via the yutu CLI.