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Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.

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Guides the practical path from 'we have no design system' or 'we have a mess' to a real, functional design system. Component inventory, design token extraction, headless UI adoption (Radix, React Aria, Headless UI), migration order of operations, and the assessment-to-rollout pipeline. Activate on 'design system from scratch', 'bootstrap design system', 'no design system', 'design system migration', 'headless UI adoption', 'component audit', 'design token extraction', 'design system strategy'. NOT for building specific components once a system exists (use design-system-creator), not for generating token files/configs (use design-system-generator).

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Use when the user wants to work with PDF files, including text/table extraction, merging, splitting, rotation, watermarking, creation, form filling, encryption/decryption, image extraction, or OCR for scanned PDFs.

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Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.

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AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction, audio repainting, and continuation for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, repaint, continuation, or musical composition tasks.

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Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data. Use when: scraping websites, crawling entire sites, extracting web content, converting HTML to markdown, building web scrapers, handling dynamic JavaScript content, bypassing anti-bot protection, extracting structured data from web pages, or when encountering "content not loading", "JavaScript rendering issues", or "blocked by bot detection". Keywords: firecrawl, firecrawl api, web scraping, web crawler, scrape website, crawl website, extract content, html to markdown, site crawler, content extraction, web automation, firecrawl-py, firecrawl-js, llm ready data, structured data extraction, bot bypass, javascript rendering, scraping api, crawling api, map urls, batch scraping

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Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.

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Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

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End-to-end iOS red-team pipeline — IPA acquisition (App Store extraction, TestFlight, enterprise/ad-hoc sideload), class-dump/Hopper/Ghidra static analysis, Info.plist + entitlements + Keychain secret extraction, App Transport Security (ATS) misconfig + certificate-pinning bypass (frida-ios-dump, objection, SSL Kill Switch 2), URL-scheme / Universal Link hijack, exported-service enumeration, Frida runtime instrumentation. Companion to apk-redteam-pipeline for the iOS side of a mobile app catalogue. Use when target has an iOS app (App Store listing, TestFlight link, enterprise MDM distribution), when an IPA URL is found hosted on a web server, or when post-recon mentions 'iOS app' / 'mobile app' in scope alongside an Apple developer account.

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Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say "fetch this page", "pull the content from", "get the page at https://", "find me articles about", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

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AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured data", "get all the products", "pull pricing info", "extract as JSON", or when the user provides a JSON schema for website data. More powerful than simple scraping for multi-page structured extraction.

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Find web information and extract page content with Tavily tools. Narrow searches by topic, date range, or website, then retrieve full pages or relevant sections as Markdown, including content from JavaScript-rendered pages.

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• Finding recent news within a selected time range
• Restricting research to selected websites
• Extracting page content from known URLs

这是在Claude Code会话结束时，从对话中提取可复用解决步骤并保存为已学习技能的旧版机制。目前已弃用，资料也提供了转向后续版本的说明。

• 检查现有的会话结束学习流程
• 整理已保存的学习技能
• 调整模式提取标准

为重复的代理任务设计专用执行流程，整理目标、输入输出、合格检查、进度记录与交接信息，并帮助将多个团队或项目共用的流程整理成共享技能。

• 设计重复任务的执行流程
• 为流程加入合格与否的检查
• 将重复步骤整理为共享技能

使用JSON、正则表达式、Pydantic类型定义或固定选项约束LLM输出，将文字中提取的信息和分类结果整理为便于后续程序使用的格式。

• 从文字中提取企业和产品信息
• 按固定标签分类评论
• 按字段整理个人资料

创建、编辑和读取PowerPoint演示文稿与模板，提取文字、合并或拆分幻灯片。检查文件结构和页面显示，并修正文字截断与元素重叠。

• 根据内容创建PowerPoint演示文稿
• 使用现有模板更新资料
• 提取幻灯片文字用于摘要

设计、实现并审查界面动画，改善操作反馈与动作流畅度。还可分析录屏中的速度变化和弹簧运动，整理出复现代码及实现规格。

• 为按钮和菜单添加动画
• 复现录屏中的界面动画
• 排查响应迟缓和卡顿

Design new web pages, review existing interfaces, or analyze references from URLs and screenshots. The skill guides page structure, colors, typography, and interaction states while respecting an existing project's design system and implementation boundaries.

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• Designing a new landing page
• Prioritizing improvements to an existing interface
• Analyzing a reference page or screenshot

Extract colors, fonts, logos, imagery, and writing style from a live website. Turn measured page details into a structured brand kit, a written guide, and a reusable design system with visual previews.

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• Document a website's colors, fonts, and logos
• Build a brand guide from a reference website
• Collect representative brand imagery

Turn a structured LLM wiki into an interactive knowledge graph. It maps articles, topics, and sources, then adds entities and inferred relationships to help readers explore connections beyond the wiki’s explicit links.

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• Explore connections across wiki articles
• Find relationships beyond explicit links
• View articles and sources by topic

Investigate failed GAIA benchmark questions by inspecting execution records and classifying causes such as missing tools, reasoning errors, or answer extraction bugs. Follow targeted fixes, verify them through another run, and save findings for future debugging.

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• Investigate an incorrect answer for a specific task
• Diagnose a question that timed out
• Investigate a drop in benchmark pass rate

Complete a website login, including interactive multi-factor authentication, and store an opaque reference to session credentials. Prepares authentication for later browser tasks while keeping raw cookie values out of model context and stored records.

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• Preparing login for repeated visits to a website
• Refreshing an expired session record
• Completing a login with multi-factor authentication

Coordinate groups of AI agents in the cloud with Flow Nexus. Assign research or development tasks, automate workflows triggered by events or schedules, and monitor execution, queues, and agent capacity through the platform's tools.

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• Split research and analysis across multiple agents
• Coordinate development across repositories
• Automate testing, builds, and deployment

Run Apify Actors, programs that collect web data, through the Composio integration. Retrieve structured results, create reusable tasks with preset inputs, and inspect execution logs for both quick collection jobs and longer runs.

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• Collect restaurant data with a Google Places scraper
• Retrieve selected dataset fields in JSON format
• Create reusable tasks for recurring data collection