Documentation skills for markdown, PDFs, knowledge bases, and content operations.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Fetch source code for npm, PyPI, or crates.io packages and GitHub/GitLab repos to provide AI agents with implementation context beyond types and docs. Use when needing to understand how a library works internally, debug dependency issues, or explore package implementations.
Set up and maintain a structured project memory system in docs/project_notes/ that tracks bugs with solutions, architectural decisions, key project facts, and work history. Use this skill when asked to set up project memory, track our decisions, log a bug fix, update project memory, or initialize memory system. Configures both GEMINI.md and AGENTS.md to maintain memory awareness across different AI coding tools.
Comprehensive guide for Google Apps Script development covering all built-in services (SpreadsheetApp, DocumentApp, GmailApp, DriveApp, CalendarApp, FormApp, SlidesApp), triggers, authorization, error handling, and performance optimization. Use when automating Google Sheets operations, creating Google Docs, managing Gmail/email, working with Google Drive files, automating Calendar events, implementing triggers (time-based, event-based), building custom functions, creating add-ons, handling OAuth scopes, optimizing Apps Script performance, working with UrlFetchApp for API calls, using PropertiesService for persistent storage, or implementing CacheService for temporary data. Covers batch operations, error recovery, and JavaScript ES6+ runtime.
Technical writer - documentation, README, guides
Analyze PDF, DOCX, and spreadsheet documents using vision models. Converts documents to images and extracts insights with layout preservation. Uses VT Codes native document processor (no container skills required).
Generate focused documentation for components, functions, APIs, and features
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Plan-spec-implement workflow for structured development. Only use when explicitly directed by user or when mentioned in project AGENTS.md file. Generates ephemeral plans in ~/.dot-agent/, applies specs to project docs, then implements test-first.
Eine Feature-Spezifikation ist ein Dokument, das die Anforderungen und die Funktionalität einer Funktion beschreibt
Fetches up-to-date library documentation from Context7 and saves to /tmp/context7/. Use when needing current API docs, code examples, library references, SDK documentation, or checking latest library versions. Triggers: context7, c7, library docs, fetch docs, current documentation, api reference.
Start a local or cluster HLRP run across Stage 1, Stage 2, Stage 3, or rollout. Default to a documented major run that creates a dated config in `config/experiment/runs/` and a matching note in `docs/runs/`. Only skip that documentation flow when the user explicitly says `test` or `debug`. Use direct stage scripts for local runs and `scripts/submit_job.py` for cluster runs. For the logical `lrz cluster`, dual-submit to `lrz_x100` and `mcml_x100`, then cancel the losing job with the 1-hour predicted-start rule.
Sync documentation with code changes. Use on every PR that touches library code to keep docs accurate and consistent.