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Found 77 Skills
飞书云盘增强命令组。分块上传大文件（>20MB 自动 3 段式）、流式下载、 文档异步导出（markdown 快捷路径 / sheet+bitable csv / sub-id / 有界轮询 + resume）、 文档异步导入、文件/文件夹移动（folder 自动轮询）、富文本评论（text/mention_user/link + wiki URL 解析 + 局部评论）、通用异步任务查询。 当用户请求"上传大文件"、"下载云盘文件"、"导出为 pdf/markdown/xlsx"、"导入 docx 到云文档"、"移动文件夹"、"添加文档评论"、"@某人评论文档"、"从 wiki 链接评论"、 "查询异步任务状态"、"drive 任务 resume"、"分块上传"、"feishu drive"、"lark drive"时使用。 本 skill 与老的 file/media/comment 命令组并存，提供更强能力（User Token 支持、 异步 resume、富文本评论），基础场景仍可用 file/media。
飞书邮箱（Mail）操作。查看邮件、发送邮件、回复、转发、管理草稿、批量获取、线程、过滤。 当用户请求"发邮件"、"看邮件"、"查邮件"、"回复邮件"、"转发邮件"、"邮件草稿"、"收件箱"、 "feishu mail"、"lark mail"、"未读邮件"时使用。
Manage skills across 20+ AI platforms (Claude Code, Cursor, Copilot, Gemini, OpenClaw, Hermes, etc.). Use `list` as the unified entrypoint. Default behavior is listing skills only; only guide/recommend when the user explicitly asks what skill to use.
Write or regenerate a value-first pull-request description (title + body) for the current branch's commits or for a specified PR. Use when the user says 'write a PR description', 'refresh the PR description', 'regenerate the PR body', 'rewrite this PR', 'freshen the PR', 'update the PR description', 'draft a PR body for this diff', 'describe this PR properly', 'generate the PR title', or pastes a GitHub PR URL / #NN / number. Also used internally by ce-commit-push-pr (single-PR flow) and ce-pr-stack (per-layer stack descriptions) so all callers share one writing voice. Input is a natural-language prompt. A PR reference (a full GitHub PR URL, `pr:561`, `#561`, or a bare number alone) picks a specific PR; anything else is treated as optional steering for the default 'describe my current branch' mode. Returns structured {title, body_file} (body written to an OS temp file) for the caller to apply via gh pr edit or gh pr create — this skill never edits the PR itself and never prompts for confirmation.
比较文件和文本，支持统一diff、并排视图和补丁生成。
Web search and content extraction using ddgs (multi-engine metasearch). No API keys required. Use when: searching documentation, facts, current information, news, fetching web content. Triggers: search the web, look up, find information, web search, news search, fetch page.
CCDB Carbon Emission Factor Search Tool. Based on Carbonstop's CCDB database, query carbon emission factor data via ccdb-mcp-server. Supports keyword-based carbon emission factor search, retrieval of structured JSON data, and multi-keyword comparison. **Use this Skill when**: (1) Users query carbon emission factors (e.g., "power emission factor", "cement carbon emission", "natural gas emission coefficient", etc.) (2) Users need to calculate carbon emissions (require querying factors first then multiplying by activity volume) (3) Users need to compare carbon emission factors of different energy sources/materials (4) Users mention "CCDB", "carbon emission factor", "emission coefficient", "carbon footprint", "LCA", "emission factor" (5) Need to query carbon emission factor data for specific countries/regions and specific years
This skill should be used when the user asks to 'find a token', 'search for a token', 'look up PEPE', 'what's trending', 'top tokens', 'trending tokens on Solana', 'token rankings', 'who holds this token', 'holder distribution', 'token market cap', 'token liquidity', 'research a token', 'tell me about this token', 'token info', or mentions searching for tokens by name or address, discovering trending tokens, viewing token rankings, checking holder distribution, or analyzing token market cap and liquidity. Covers token search, metadata, market cap, liquidity, volume, trending token rankings, and holder analysis across XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, and 20+ other chains. Do NOT use when the user says only a single generic word like 'tokens' or 'crypto' without specifying a token name, action, or question. For simple current price checks, price charts, candlestick data, or trade history, use opentrade-market instead. For meme token safety analysis, developer reputation, rug pull checks, bundle/sniper detection, or finding tokens by same creator, use opentrade-market instead.
Calculate readability scores (Flesch-Kincaid, Gunning Fog, SMOG) and grade levels for text. Analyze writing complexity and get improvement suggestions.
NHL data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about NHL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or NHL news. Don't use when: user asks about other hockey leagues (AHL, KHL, college hockey), or other sports.
Surgically updates a specific section of .marrow.md without re-running the full extraction. Accepts a new value, color, image, or description and patches only the relevant section — leaving everything else intact. Use this skill when the user wants to update one part of the extracted soul, change the brand accent color, update spacing rules, replace a typeface, refine the brand personality, or extract color from a new reference image. Triggers on: /marrow-update, or prompts like "update the accent color to X", "change the brand color", "update spacing in marrow", "the font changed to X", "update marrow with this new color", "patch marrow", "update just the accent", "marrow-update accent #FF6B6B", "update the palette from this image". Requires .marrow.md to exist. If not found, instructs user to run /marrow first.
Compress macOS screen recordings with zero CPU stress using Apple Silicon's hardware HEVC encoder. Typically reduces file size 70-90% while staying visually lossless. Computer stays silent during encoding.