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Found 1,051 Skills
R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 visualizations, statistical analysis, epidemiological methods, and reproducible research practices.
Generate living documentation from git diffs — analyze branch comparisons or last N commits to automatically create or update Component Docs, Changelogs, ADRs, and Runbooks in Markdown with Obsidian-compatible YAML frontmatter. Use when asked to: (1) document changes from a branch diff, (2) generate release notes, (3) update service documentation, (4) analyze commits and produce docs, (5) create ADRs from architectural changes. Triggers: 'document the diff', 'generate docs from commits', 'update docs for [service]', 'release notes', 'what changed and document it', 'living docs', 'analiza el diff y genera documentacion'.
Interact with Jira using the orbit CLI to create, list, view, edit, and transition issues, manage sprints and epics, manage custom fields and screen configurations, list statuses and issue types, and write properly formatted descriptions using Jira wiki markup. Use this skill whenever the user asks about Jira tasks, tickets, issues, sprints, epics, or needs to manage project work items using orbit. Also trigger when the user says things like 'create a ticket', 'create epics', 'move this to done', 'assign the issue', 'update the description', 'format for Jira', 'create a custom field', 'add field to screen', 'list statuses', 'configure Jira', or any Jira-related workflow — even casual references like 'update Jira', 'what tickets are in this sprint', 'add a comment to PROJ-123', or 'set up AI tracking fields'. Trigger especially when descriptions need proper formatting (headings, bullets, tables, links) since Jira Server uses wiki markup, not markdown.
Hugo site link health analysis: scan markdown, build internal link graph, validate paths, and report issues. Use when auditing site link structure, finding orphan pages, checking for broken internal/external links, or validating image paths. Use for "link audit", "orphan pages", "broken links", "link health", or "site link structure". Do NOT use for single-post pre-publish checks or content editing.
Persistent markdown files as working memory for complex tasks: plan, track progress, store findings. Use when tasks have 3+ phases, require research, span many tool calls, or risk context drift. Use for "plan", "break down", "track progress", "multi-step", or complex tasks. Do NOT use for simple lookups, single-file edits, or questions answerable in one response.
VitePress static site generator powered by Vite and Vue. Use when building documentation sites, configuring themes, or writing Markdown with Vue components.
Use when user input contains xlb topic queries (for example "xlb >vibe coding/vib", "xlb ??vibe coding", or "查询xlb vibe coding主题") and the task is to fetch Markdown index from local getPluginInfo API, then perform code-based retrieval with routing to available network skills/MCP tools when possible.
This skill should be used when users request comprehensive, in-depth research on a topic that requires detailed analysis similar to an academic journal or whitepaper. The skill conducts multi-phase research using web search and content analysis, employing high parallelism with multiple subagents, and produces a detailed markdown report with citations.
Search GitHub for real-world code examples and implementation patterns. Use when user wants to find code examples on GitHub, search GitHub repositories, discover how others implement features, learn library usage patterns, or research architectural approaches. Fetches top results with smart ranking (stars, recency, language), extracts factual data (imports, syntax patterns, metrics), and returns clean markdown for analysis and pattern identification.
Extract structured review themes from any input source: supports files (PDF/Word/Markdown/Tex), folders, images, natural language descriptions, web URLs, etc.; automatically identifies input types and extracts content; generates structured output of "Theme + Keywords + Core Questions" which can be directly used for systematic-literature-review and other literature review skills.
This skill provides production-ready AI chat UI components built on shadcn/ui for conversational AI interfaces. Use when building ChatGPT-style chat interfaces with streaming responses, tool/function call displays, reasoning visualization, or source citations. Provides 30+ components including Message, Conversation, Response, CodeBlock, Reasoning, Tool, Actions, Sources optimized for Vercel AI SDK v5. Prevents common setup errors with Next.js App Router, Tailwind v4, shadcn/ui integration, AI SDK v5 migration, component composition patterns, voice input browser compatibility, responsive design issues, and streaming optimization. Keywords: ai-elements, vercel-ai-sdk, shadcn, chatbot, conversational-ai, streaming-ui, chat-interface, ai-chat, message-components, conversation-ui, tool-calling, reasoning-display, source-citations, markdown-streaming, function-calling, ai-responses, prompt-input, code-highlighting, web-preview, branch-navigation, thinking-display, perplexity-style, claude-artifacts
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