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Found 262 Skills
Based on the page length budget standards for NSFC (National Natural Science Foundation of China) proposals; check the page length of the target proposal and summarize gaps; provide targeted optimization suggestions; expand or compress content to meet standards while preserving the original meaning as much as possible.
Proactively summarize and consolidate knowledge from AI conversation sessions. Auto-triggers when: (1) Starting a new session after meaningful previous work, (2) Session contains significant learnings worth preserving. Captures debugging insights, architecture decisions, patterns, configs, and lessons learned into structured knowledge documents. Explicit triggers: 'summarize', 'consolidate', 'save knowledge', 'document this'.
Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be". Helps quantify product-market fit and systematically improve it. The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.
Search your personal Yuque knowledge bases with natural language queries and provide summarized answers with key points and source links. For personal/individual use — searches across your own documents.
Generate intelligent summaries for Yuque knowledge bases or multiple documents, providing a quick overview of content landscape and key insights. For personal/individual use — summarizes your own knowledge bases.
Daily report creation skill. Summarizes GitHub and Jira activities, creates a draft, and posts as an Issue. Use when: - Asked to "create daily report" or "write daily report" - Asked to "summarize today's activities" - Requested to create a daily report or journal
Summarize current work, commit, push, and create or update a PR. Automatically write conversation context into the PR description to ensure reviewers can quickly understand the background.
Fetch and extract web content as clean Markdown when provided with URLs. Use this skill whenever a user provides a URL (http/https link) that needs to be read, analyzed, summarized, or extracted. Converts web pages to Markdown with 80% fewer tokens than raw HTML. Handles all content types including JS-heavy sites, documentation, articles, and blog posts. Supports three conversion methods (auto, AI, browser rendering). Always use this instead of web_fetch when working with URLs - it's more efficient and provides cleaner output.
Email Gazette: Transform unread inbox emails into a beautiful newspaper-style HTML front page. Use this skill whenever the user asks for an email briefing, inbox summary, email digest, morning briefing, 'what happened in my inbox', 'catch me up on emails', 'summarize my emails', or anything about turning emails into a readable overview. Also trigger when the user mentions 'gazette' or asks for a newspaper-style view of their emails, daily digest, or email newspaper.
Read and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other skills.
Generate a handoff document after implementation work is complete — summarizes changes, risks, and review focus areas for the review pipeline. Use when done coding and ready to hand off for review.
Automatically collect and summarize daily AI industry news, trends, and hot topics from platforms like GitHub (trending repos), X/Twitter (AI influencers/hashtags), and AI news aggregators. Use this skill when the user asks for "today's AI news", "AI industry updates", "what's trending in AI", or wants a daily digest of AI developments.