Loading...
Loading...
Found 1,025 Skills
Trend intelligence and cultural signal detection for emerging news and behaviors. USE WHEN: Researching latest news (48h), identifying cultural/tech/consumer shifts before mainstream adoption, analyzing emerging trends with advanced elicitation. PRIMARY TRIGGERS: "coolhunt [topic]" = Full research workflow (5 steps) "trend analysis" = Deep analysis with elicitation methods "news scan [topic]" = Quick news gathering WORKFLOW: Request → Web Research → Elicitation Selection → Analysis → Report OUTPUT: Markdown report with headline, summary, fact-check, and behavioral analysis saved to coolhunter-output/report-{datetime}/{title}.md
Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, development workflow, coding standards, and testing approaches while generating well-structured markdown documentation with proper formatting, cross-references, and developer-focused content.
Export Feishu documents or knowledge base documents to Markdown files, or export them to formats such as PDF/Word/Excel (asynchronous tasks). It also supports importing local DOCX/XLSX files into Feishu cloud documents. It is triggered when users request "export document", "convert to Markdown", "save as md", "export PDF", "export Word", "convert docx to Feishu", "import docx". Markdown is stored in the /tmp directory as an intermediate format.
Create markdown-based behavioral rules preventing unwanted actions. create hookify rule, behavioral rule, prevent behavior, block command Use when: preventing dangerous commands, blocking debug commits, enforcing conventions DO NOT use when: hook scope (abstract:hook-scope-guide), SDK hooks (abstract:hook-authoring), evaluating hooks (abstract:hooks-eval).
Design manual testing and exploratory testing plans, including test charters, heuristic methods, and session records. Default output is Markdown, Excel/CSV/JSON is available upon request. Use for manual testing.
获取飞书云文档内容。返回文档的 Markdown 内容，支持处理文档中的图片、文件和画板（需配合 feishu_doc_media 工具）。
Design system and guidelines for Claude's built-in generative UI — the show_widget tool that renders interactive HTML/SVG widgets inline in claude.ai conversations. This skill provides the complete Anthropic "Imagine" design system so Claude produces high-quality widgets without needing to call read_me first. Use this skill whenever the user asks to visualize data, create an interactive chart, build a dashboard, render a diagram, draw a flowchart, show a mockup, create an interactive explainer, or produce any visual content beyond plain text or markdown. Triggers include: "show me", "visualize", "draw", "chart", "dashboard", "diagram", "flowchart", "widget", "interactive", "mockup", "illustrate", "explain how X works" (with visual), or any request for visual/interactive output. Also triggers when the user wants to display financial data visually, create comparison grids, or build tools with sliders, toggles, or live-updating displays.
Official Firecrawl CLI skill for web scraping, search, crawling, and browser automation. Returns clean LLM-optimized markdown. USE FOR: - Web search and research - Scraping pages, docs, and articles - Site mapping and bulk content extraction - Browser automation for interactive pages Must be pre-installed and authenticated. See rules/install.md for setup, rules/security.md for output handling.
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, visualizations, markdown documentation, and analytics workflows. Supports notebook creation from scratch, section-based updates, data extraction from Document Store, structure analysis, investigation workflows, and collaborative documentation.
PDF data extraction tool. Use it when users mention "PDF extraction", "PDF to Markdown", "PDF parsing", "extract PDF content", "PDF to JSON", "RAG PDF". OpenDataLoader PDF is currently the top-ranked PDF parser in benchmark tests, supporting local mode (fast, deterministic) and hybrid AI mode (for complex tables, scanned documents, formulas), with output formats including Markdown, JSON (with bounding boxes), and HTML. It is suitable for scenarios where structured data needs to be extracted from PDFs for RAG/LLM pipelines, or where batch processing of PDF documents is required.
Interview-driven automation design tool. This skill should be used when the user wants to design a new skill, agent, automation, shortcut, or any other automatable workflow. Runs a coverage-driven JTBD interview (text or voice), then exports a one-page markdown spec plus an SVG design map.
Interactive workflow for creating new skills for the skills-il organization. Guides through category selection, use case definition, folder scaffolding, metadata.json generation with bilingual metadata, instruction writing, Hebrew companion creation, and validation. Use when user asks to create a new skill, scaffold a skill for skills-il, write a SKILL.md, contribute a skill, new skill template, or liztor skill chadash. Enforces skills-il conventions (kebab-case naming, Hebrew transliterations, bilingual display names, progressive disclosure, validate-skill.sh compliance). Do NOT use for editing existing skills, creating skills for non-skills-il platforms, or generic markdown file creation.