AI Skills for Technical Writer

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of \"Word doc\", \"word document\", \".docx\", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or ...

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the ...

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Common Python anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.

Generates two complementary onboarding guides — a Principal-Level architectural deep-dive and a Zero-to-Hero contributor walkthrough. Use when the user wants onboarding documentation for a codebase.

Automatically generate professional CTF writeups from solving sessions with flag detection, challenge categorization, and proper markdown formatting

Friction-reduction patterns for agents helping humans with disabilities. Voice-first workflows, smart home templates, efficiency automation.

Create new documentation entities in the docs-first system. Routes to specialized creation sub-skills for tasks, definitions, rules, features, and social content. Use when adding any new documentation.

Documentation-as-Source-of-Truth workflow. Use when working with projects that use docs/ as the canonical source for definitions, rules, and tasks. Routes to specialized sub-skills for specific documentation types.

Use when you need browser automation via the browser-use CLI or Python code in this OpenClaw container/host: open pages, click/type, take screenshots, extract HTML/links, or run an Agent with an OpenAI-compatible LLM (e.g. Moonshot/Kimi) using a custom base_url. Also use for debugging browser-use...

Practical regex patterns across languages and use cases. Use when validating input (email, URL, IP), parsing log lines, extracting data from text, refactoring code with search-and-replace, or debugging why a regex doesn't match.

Write high-quality agent skills (SKILL.md files) for ClawdHub/MoltHub. Use when creating a new skill from scratch, structuring skill content, writing effective frontmatter and descriptions, choosing section patterns, or following best practices for agent-consumable technical documentation.

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.

Local-first multimedia research library for hardware projects. Capture code, CAD, PDFs, images. Search with material-type weighting. Project isolation with cross-references. Async extraction. Backup + restore.

Track source-of-truth relationships between files — know when derived content becomes stale.

Create, edit, and manipulate Word documents programmatically using python-docx

Convert Office documents (Word, Excel, PowerPoint, PDF) to Markdown using Microsoft's markitdown