2 226 document skills from 443 authors. They read and assemble documents, spreadsheets and slide decks. Half of them fit into 1 834 tokens or less — that is what one costs your context window when the agent loads it. 567 ship runnable scripts rather than instructions alone. 24 of them cannot work without an MCP server, most often rube. We also found 384 copies of these same skills sitting in other people's repositories — counted once here, not 384 times.
2 226 unique 443 authors 1 278 updated this month 156 from vendors
Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.
Generates formal, structured, and executable implementation plan documents based on specifications.
Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Generates or updates highly detailed, machine-readable technical specification documents in the /spec/ directory.
Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.
Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.
Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.
Generates or updates highly detailed, machine-readable technical specification documents in the /spec/ directory.
Generates formal, structured, and executable implementation plan documents based on specifications.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.
Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.
Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.
Generates formal, structured, and executable implementation plan documents based on specifications.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Generates or updates highly detailed, machine-readable technical specification documents in the /spec/ directory.
Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.
Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.
Generates or updates highly detailed, machine-readable technical specification documents in the /spec/ directory.
Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Generates formal, structured, and executable implementation plan documents based on specifications.
Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.
PDF converter powered by MinerU — convert PDF to Word, Markdown, HTML, LaTeX, or plain text. Also handles image-to-text OCR, scanned document recognition, and Office formats (DOCX, PPTX, Excel). Supports 80+ languages. Use this skill when the user wants to convert, extract, read, parse, or summarize any PDF or document. Also applies when the user shares a PDF file or link and asks about its content, needs tables or formulas extracted, wants PDF OCR, or says things like 'turn this into a doc' or 'what does this paper say'.
Multi-cycle iteration management, document versioning, change requests, re-entry points, archival, and impact analysis. Load when starting a new cycle (C2+), processing change requests, or managing cross-cycle traceability.
Persistent Obsidian-based memory for coding agents. Use at session start to orient from a knowledge vault, during work to look up architecture/component/pattern notes, and when discoveries are made to write them back. Activate when the user mentions obsidian memory, obsidian vault, obsidian notes, or /obs commands. Provides commands: init, analyze, recap, project, note, todo, lookup, relate.
Use when needing to look up book content, find a book by title/author, download an ebook, or reference material from a published book. Triggers on book lookups, ebook downloads, "find the book", "get the PDF/EPUB of". Downloads produce PDF/EPUB/MOBI files - use ebook-extractor skill to convert to text.
Render Mermaid diagrams as readable ASCII/Unicode art in the terminal (from .mmd/.mermaid files, stdin, or Markdown ```mermaid fences). Use when installing or using lukilabs/beautiful-mermaid, creating a CLI renderer for Mermaid-to-ASCII output, previewing Mermaid diagrams in terminal, or extracting/rendering Mermaid blocks from Markdown files.
Use when user wants to extract text from ebooks (EPUB, MOBI, PDF). Use for converting ebooks to plain text for analysis, processing, or reading. Handles all common ebook formats.
Use when searching text in files, codebases, books, or documents. Use when finding files by pattern, searching large files that are too big to read fully, extracting specific content from many files, or when grep/find is too slow. Triggers on "search for", "find occurrences", "look for pattern", "search in files".
Use this agent when you have a specification, plan, feature description, or technical document that needs user flow analysis and gap identification. This agent should be used proactively when:\\n\\n<example>\\nContext: The user has just finished drafting a specification for OAuth implementation.\\nuser: \"Here's the OAuth spec for our new integration:\\n[OAuth spec details]\"\\nassistant: \"Let me use the spec-flow-analyzer agent to analyze this OAuth specification for user flows and missing elements.\"\\n<commentary>\\nSince the user has provided a specification document, use the Task tool to launch the spec-flow-analyzer agent to identify all user flows, edge cases, and missing clarifications.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: The user is planning a new social sharing feature.\\nuser: \"I'm thinking we should add social sharing to posts. Users can share to Twitter, Facebook, and LinkedIn.\"\\nassistant: \"This sounds like a feature specification that would benefit from flow analysis. Let me use the spec-f...
Document a recently solved problem to compound your team's knowledge
Create presentation slides in Markdown format (Deckset/Marp compatible). Use when user requests to create slides, presentations, or convert documents to slide format. Handles image positioning, speaker notes, and proper formatting.
Create Obsidian-compatible Mermaid diagrams. Prefer square layouts (TB + subgraph LR), avoid markdown in labels. Use when creating flowcharts, sequence diagrams, or any Mermaid diagrams in markdown files.
>- Interact with Obsidian using the official CLI to read, search, create, and manage notes, daily notes, tasks, properties, and more. Use when the user wants to query or manipulate vault content via the obsidian command.
Create and manage Obsidian Canvas files with automatic layout generation. Use when creating visual knowledge maps, weekly reading summaries, or project timelines.
Validate and enforce markdown document structure including frontmatter positioning, heading hierarchy, and content organization. Use when creating or validating markdown files.
Format and validate Obsidian wiki links with proper filename, section, and folder conventions. Verify links exist before creation and fix broken links. Use when creating or checking wiki links in markdown files.
Manage YAML frontmatter properties with consistent formatting, property names, and value types. Use when creating or updating frontmatter in markdown files.
Extract YouTube video transcripts and generate AI-powered summaries in any language. Converts videos to structured markdown documents with summaries, key points, and timelines.
Researches current web and external technical information through source-backed discovery, retrieval, and repository, document, or media inspection. Use this skill when the user needs current facts, docs, articles, URLs, repositories, PDFs, videos, comparisons, or version-specific library/API/framework evidence. Do not use this skill alone for interactive browser tasks such as login, forms, or UI-state inspection; use an available browser automation capability.
Transforms technical documents into rigorous learning journeys with collegiate-level mastery requirements. Uses Bloom's taxonomy progression, 80%+ mastery thresholds, and multi-level verification before advancing. Treats learning as a high school to college graduation progression. Use when user wants deep understanding, not surface familiarity.
Use when executing implementation plans phase-by-phase with strict enforcement of quality gates, tests, and Definition of Done. Triggers on "build this plan", "execute plan", "implement phases", or when user provides a plan document to execute.
Guides PRD, ADR, Design Doc, and Work Plan creation. Use when: planning features, writing specs, or creating technical documents.
Use this skill whenever the user wants to read, create, or edit Korean Hangul Word Processor documents (.hwp or .hwpx files). Triggers include any mention of 'hwp', 'hwpx', '한글 문서', '아래한글', '한컴오피스', or uploading/attaching .hwp/.hwpx files. Also use when extracting text from Korean reports or producing Korean-formatted official documents (공문, 보고서, 계약서, 사업계획서). Do NOT use for Word .docx files (use the docx skill instead) or general Korean text without Hangul Word Processor format. ⚠️ SECURITY: if the task fills a form with personal data (주민등록번호·계좌·연락처·주소 등), LOAD THIS SKILL FIRST — before any `ls`/`cat`/`Read`/`grep` of the working dir or home — and NEVER directly cat/Read/grep a profile or 내정보 file (e.g. ~/.claw-hwp/profile.txt), even "to check it". Its SECURE FILL flow reads values in-process only; reading them yourself leaks them into context.
Extract PDFs to text and images before reading
Advanced python-docx patterns for handling nested tables, complex cell structures, and content extraction beyond basic .text property. Complements the official docx skill with specialized techniques for forms, checklists, and complex layouts.