Loading...
Loading...
Found 298 Skills
Convert content between formats, summarize at different levels, and repurpose for various platforms. Use when asked to convert to markdown, create summaries of varying lengths, make tweets, create flashcards, or process video content. Triggers include "convert to markdown", "summarize in one sentence", "make this a tweet", "create flashcards", "TL;DR", "summarize this video", "export as CSV".
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.
Extract experience from the current conversation and automatically generate reusable Claude Code Skills. Use when user wants to extract a skill, summarize into a skill, solidify experience, generate a skill, create a skill from context, save as a skill, or turn experience into a skill.
Use this skill whenever the user asks to analyze, understand, or survey an entire project, codebase, or any collection of files. Trigger phrases include "analyze a large file", "process multiple files", "comprehend this problem", "take a look at these files", "familiarize yourself with this project", or any similar request, however phrased. Also activate when the task involves processing context that exceeds what can be reasoned about in a single pass, when encountering any input larger than ~50KB that requires detailed analysis, or when the user mentions "context comprehension" or "recursive comprehension". This skill TAKES PRIORITY over your default explore subagents for any project-wide or codebase-wide analysis task.
A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate high-resolution charts with moving averages + indicators (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs both a text summary and a Pro chart.
Run a daily content digest pipeline that fetches Podcast RSS feeds and YouTube channels, transcribes audio, generates AI summaries in Traditional Chinese, and optionally sends notifications via Telegram. Use this skill whenever the user wants to: set up or run a daily digest, summarize podcasts or YouTube videos, create a content briefing, aggregate RSS/YouTube content, or build an automated summary system. Also triggers for: "daily digest", "每日摘要", "podcast 摘要", "YouTube 整理", "跑摘要", "內容彙整", "幫我整理今天的 podcast", "summarize my subscriptions", or any request to periodically collect and summarize media content. Even if the user just says "digest" or "摘要", check if this skill applies.
Interact with GitLab via the glab CLI. Supports five MR workflows — Read (summarize), Review (full code/security/QA review), Fix (review + implement), CI Fix (fix pipeline failures), and Feedback (address review comments). Trigger whenever the user provides a GitLab MR URL or says anything like "อ่าน MR", "ดู MR", "check MR", "review MR", "ช่วย review MR นี้", "ตรวจ MR", "แก้ตาม MR", "fix MR", "fix CI", "fix pipeline", "แก้ pipeline", "แก้ตาม comment", "แก้ตาม feedback", "address feedback", or just pastes a GitLab MR URL. Also supports listing MRs, viewing MR status, checking CI/CD pipelines, approving MRs, and other glab operations. Trigger on "check pipeline", "list open MRs", "pipeline failed", or any GitLab-related task.
AI-powered search that aggregates and summarizes results from multiple sources including web, X/Twitter, Reddit, Hacker News, YouTube, ArXiv, and Wikipedia. Use this when you need a synthesized answer or curated links from across the internet and social platforms.
Generate bug triage prep notes from One Horizon bug data. Use when asked "prepare bug triage", "summarize open bugs", or "prioritize defects for review". Requires One Horizon MCP.
Automatically generate personal weekly reports based on Git commit records and code changes. Use this skill when users request to generate weekly reports, work summaries, or summarize weekly work content. Supports custom time ranges, committer filtering, output formats, and detail levels.
A collection of technical writing rules to significantly improve the quality of your writing. Achieve professional writing quality by eliminating redundant expressions, avoiding repeated sentence endings, correctly distinguishing between kanji and hiragana, using active voice, and placing subjects and predicates close together, among other practices. This must be referenced for all tasks involving text output or generation. Applicable tasks include creating PR descriptions, writing technical documents, design documents, specifications, and procedure manuals, updating README/CLAUDE.md/Confluence pages, generating commit messages, summarizing survey results and specifications, outputting in Markdown, improving and reviewing existing text, etc. This skill is triggered by all requests involving text output, such as "write", "create", "compose", "summarize", "add to", "output", "improve", "review", "document", "create a PR", "output in Markdown", etc. Refer to this skill even for short instructions or implicit text generation tasks. Explicit mention of the skill name is not required.
Checkpoint - Pre-publish review with multi-layer deep analysis. Triggers: Preparing to publish an npm package, requiring pre-release review, or checking code change quality. Review Layers: - Per-Change: In-depth analysis of each change group (up to 10 Agents) - Holistic: Parallel review by 5 roles (Architecture/Development/Testing/Security/Documentation) - Synthesis: 1 Agent summarizes review results Commands: - /把关 - Start pre-publish review - /把关 check - Check unpublished changes - /把关 version - Recommend version upgrade - /把关 report - Generate review report - /review - English command Capabilities: Unpublished change detection, in-depth per-change analysis, multi-role review, version recommendation, release risk assessment.