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Found 345 Skills
Implement text summarization using extractive and abstractive approaches. Use this skill when the user needs to condense long documents, build an automatic summarization pipeline, or compare summarization strategies — even if they say 'summarize this document', 'TLDR', or 'key points extraction'.
Use when researching, compiling, or assessing best practices for any AWS service, building HA/DR/security checklists from official AWS documentation, or checking whether live AWS resources follow official recommendations. Requires aws-knowledge-mcp-server. Triggers on "best practices", "compile checklist", "summarize HA/DR best practices", "what are the best practices for", "find all best practices", "check my cluster", "audit my redis", "assess my redis", "assessment", "是否符合最佳实践", "检查现有资源", "查找最佳实践", "编译检查清单", "总结最佳实践", "帮我查找", "汇总成表", "帮我检查", "审计一下", "评估一下".
MaxIQ platform help — AI-native revenue intelligence with EchoIQ conversation intelligence, InspectIQ pipeline visibility, ForecastIQ AI-driven forecasting, 9 AI agents (NoteTaker, Radar, Summarizer, Coach, Taskmaster, Watchdog, Forecaster, Revenue Planner, Deal Mapper), usage-based pricing (no per-seat), Salesforce/HubSpot CRM sync. Use when EchoIQ not capturing all meeting types, AI Coach scoring criteria not matching your sales process, CRM fields not auto-populating from calls, InspectIQ deal signals seem inaccurate, ForecastIQ predictions not matching reality, comparing MaxIQ vs Gong vs Clari for revenue intelligence, setting up AI Radar keyword tracking, or evaluating usage-based CI pricing vs per-seat alternatives. Do NOT use for designing outbound cadences (use /sales-cadence) or cross-platform coaching programs (use /sales-coaching).
Audit Android Jetpack Compose repositories for performance, state management, side effects, and composable API quality. Scans source code, scores each category from 0-10, writes a strict markdown report, and summarizes the most important fixes. Use when reviewing a Compose codebase, rating repository quality, inspecting recomposition/state issues, or running a Compose audit.
Build a retrospective or forward-looking work timeline from git commits, project docs, user notes, or chat records, then output a Markdown and/or HTML report with a Gantt chart or timeline visualization. Use when the user wants to review past work across one or more projects, explain time allocation to a mentor, summarize what was done in a period, or plan the next phase with a timeline.
Summarize authored commits over a user-specified time period into a concise update
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.
This skill should be used when the user asks to "콘텐츠 정리", "아티클 요약", "PDF 학습", "영상 정리", "트윗 정리", "digest", "summarize", "정리해줘", or provides a YouTube URL, X/Twitter URL (x.com, twitter.com), webpage URL, or PDF file for analysis. Supports YouTube (transcript), X/Twitter (via fetch-tweet skill), webpage (full content via browser), and PDF (text + image per page). Generates Quiz-First learning with 9 questions across 3 difficulty levels.
Generate concise initiative summaries from One Horizon initiative data. Use when asked "summarize these initiatives", "give me initiative status", or "prepare initiative update notes". Requires One Horizon MCP.
Comprehensive guide for electron-builder (v26.x) packaging, code signing, auto-updates, and release workflows. Use when: (1) configuring electron-builder builds (electron-builder.yml or config.js/ts), (2) setting up macOS/Windows code signing or notarization, (3) implementing auto-updates with electron-updater, (4) publishing to GitHub Releases, S3, or generic servers, (5) configuring platform targets (NSIS, DMG, AppImage, Snap, PKG, MSI), (6) working with build hooks (beforePack, afterSign, afterAllArtifactBuild), or (7) using the programmatic API. Triggers on: electron-builder, electron-updater, code signing, notarize, NSIS, DMG, AppImage, auto-update, publish releases, build hooks, electron packaging, electron distribution.
Summarizes very long texts (books, handbooks, biographies, codebases) using hierarchical multi-pass extraction with cheap model armies. Produces structured knowledge maps, not just summaries. Use when processing 50+ page documents, professional handbooks, career biographies, or any text too large for a single context window. Activate on "summarize book", "summarize handbook", "long document", "extract knowledge", "distill text", "professional biography". NOT for short text summarization (<10 pages), real-time chat summarization, or code documentation (use technical-writer).
Summarize the objectives, structure, constraints, naming and collaboration rules of the entire project to form reusable project-level specification documents