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Found 1,051 Skills
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.
Converts a file path or URL to Markdown using markitdown. Usage: /convert <file-path or URL>
Internal sub-skill for the job-hunt suite. Parses JD information from user-provided screenshots of any job platform (Boss Zhipin, Zhaopin, 51job, Liepin, etc.) and writes structured JD Markdown files to jd-pool. Do NOT invoke directly — use the job-hunt main skill instead.
Share markdown reports to the user's configured Slack agent_cli_report channel via Fastfold API, and persist the markdown as a library item.
Provides comprehensive guidance for creating Mermaid diagrams. Mermaid is a JavaScript-based diagramming and charting tool that uses Markdown-inspired text definitions and a renderer to create and modify complex diagrams. The main purpose of Mermaid is to help documentation catch up with development. Mermaid is particularly well-suited for use in Markdown documents, GitHub, GitLab, wikis, blogs, and other Markdown-based platforms. Use when the user wants to draw, create, generate, make, build, or visualize any diagram, chart, graph, flowchart, architecture diagram, sequence diagram, class diagram, state diagram, Gantt chart, mindmap, timeline, or any other visual diagram in Markdown-friendly format. This skill covers all 23+ Mermaid diagram types including flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, pie charts, quadrant charts, Git graphs, C4 diagrams, mindmaps, timelines, and more. Always use this skill when the user mentions Mermaid, needs diagrams for Markdown documentation, or wants quick diagrams that render directly in Markdown renderers.
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
Convert EPUB books to high-quality formatted Markdown using pandoc and AI-assisted formatting. Use when the user provides an EPUB file path and wants to convert it to professionally formatted Markdown, similar to the Clean Code Collection formatting. This skill handles the complete workflow from EPUB extraction through AI-driven content formatting, including fixing PDF conversion artifacts, joining split paragraphs, correcting code blocks, standardizing headers, and creating proper Table of Contents.
Writing conventions for scannable, token-efficient skills and prompts. Use when creating or reviewing SKILL.md files, AGENTS.md files, or any markdown-based agent instruction documents.
EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
Analyze, describe, read, or extract content from any screenshot, image, photo, picture, pic, snap, screen grab, or screen capture the user shares. Triggers when users ask about images ("what's in this", "what can you see", "what does this show", "what am I looking at", "tell me about this", "can you read this"), request review ("check this", "look at this", "review these", "analyze this"), request extraction ("extract text", "convert to markdown", "transcribe this", "parse this", "pull the data"), or describe attachments ("here's a screenshot", "I pasted this", "see attached"). Works with single or multiple images. Converts UI data into clean, structured markdown.