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Found 1,051 Skills
Export context report as Markdown or HTML
Retrieve ALL information from a Jira ticket (description, comments, subtasks, attachments metadata, labels, sprint, status, assignee, reporter, linked issues, custom fields, acceptance criteria) and persist it as a single Markdown file. Use whenever the user says "fetch ticket", "retrieve Jira", "pull ticket info", "get ticket details", "look up ticket", "grab the Jira", "what does ticket X say", "check the ticket", "read the ticket", "show me the ticket", or provides a Jira ticket URL or key like PROJECT-1234. Also triggered by the orchestrating-jira-workflow skill as Phase 1 of the end-to-end pipeline. Trigger even if the user only pastes a ticket key with no other context — that alone means "fetch this ticket." This skill ONLY retrieves — it never modifies the ticket or starts implementation.
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Official skill for recognizing and extracting tables from images and PDFs into Markdown format using ZhiPu GLM-OCR API. Supports complex tables, merged cells, and multi-page documents. Use this skill when the user wants to extract tables, recognize spreadsheets, or convert table images to editable format.
Summarize Hebrew tech lectures and meetings from transcription files into structured Markdown. Use when the user asks to summarize a transcription, create meeting notes, summarize a lecture/presentation in Hebrew, or mentions סיכום/תמלול/הרצאה.
Analyze Huawei Ascend NPU profiling data to discover hidden performance anomalies and produce a detailed model architecture report reverse-engineered from profiling. Trigger on Ascend profiling traces, NPU bottlenecks, device idle gaps, host-device issues, kernel_details.csv / trace_view.json / op_summary / communication.json. Also trigger on "profiling", "step time", "device bubble", "underfeed", "host bound", "device bound", "AICPU", "wait anchor", "kernel gap", "Ascend performance", "model architecture", "layer structure", "forward pass", "model structure". Runs anomaly discovery (bubble detection, wait-anchor, AICPU exposure) alongside model architecture analysis (layer classification, per-layer sub-structure, communication pipeline). Outputs a separate Markdown architecture report alongside anomaly analysis.
Use when working with Obsidian vaults, markdown notes with [[wikilinks]], ![[embeds]], callouts (> [!type]), YAML frontmatter/properties, #tags, block IDs (^id), ==highlights==, %%comments%%, Obsidian CLI commands (obsidian create/read/append/search/move/tags/daily/etc.), vault organization (PARA, MOC, flat+tags, Johnny Decimal), folder restructuring, daily notes, templates, task management, backlink analysis, or any file operations in an Obsidian vault directory. Trigger this skill whenever the user mentions Obsidian, .md files inside an Obsidian vault, knowledge base organization, or note-taking workflows — even if they don't explicitly say "Obsidian".
WeChat Official Account Layout | Markdown to HTML | Layout Themes | Paragraph Styles — One-click layout tool for WeChat Official Accounts, converts Markdown manuscripts to HTML that can be pasted into WeChat backend, supports multiple themes, font sizes, paragraph style switching, and WYSIWYG. Targeted at WeChat Official Account editors, independent authors, and layout specialists. Trigger words: 'layout', 'format', 'beautify', 'formatting', 'font size', 'paragraph style', 'change layout theme', 'change format', 'convert to HTML', 'make it look better', 'adjust format'. For changing preset packages/brand packages/complete theme color schemes, use aws-wechat-article-assets; for multi-link workflows (writing + review + layout + image matching + publishing), use aws-wechat-article-main.
Load all open issues from GitHub and save them as markdown files
Interpret the meaning of paper figures and output a highly readable Markdown report that 'teaches humans how to read figures'; supports input of absolute paths to one or more figure files and manual interpretations, automatically attempts to retrieve the source code used to generate the figures from the vicinity of the figures, and uses a parallel-vibe-like approach to interpret each figure with process-level isolation via `codex exec`/`claude -p` (default concurrency limit is 3, adjustable in config.yaml). ⚠️ Not applicable: Users only want to adjust figure size/crop/change format; or request direct modification of images/source code (this skill has read-only access to images and source code throughout, modification is strictly prohibited).
Generate guided Chinese software copyright application materials based on real projects. Activate this skill when users inquire about 软件著作权, 软著申请资料, 软著代码材料, 操作手册, 申请表信息, or request Word/TXT materials for software copyright registration. The workflow analyzes the imported project, extracts real source code, creates Markdown drafts for user confirmation, and then uses integrated DOCX tooling to generate the final Word documents and TXT files.
Use this when users need to collect research materials for an article or topic by gathering YouTube videos and web articles into a NotebookLM notebook, then running analysis queries and saving the results as markdown. It is ideal for requests like "collect materials", "find relevant videos and articles on this topic for me", and "organize for NotebookLM analysis". This skill combines yt-dlp YouTube search, NotebookLM `nlm` CLI research, and markdown report output.