Technical Writing

Write self-documenting code with clear structure and naming, adding minimal concise comments only to explain complex logic sections, avoiding temporal comments about changes or fixes. Use this skill when writing code in any file across the codebase to ensure proper commenting practices. Use this skill when deciding whether to add comments to functions, classes, or complex algorithms, when reviewing existing comments for relevance and evergreen quality, or when refactoring code to be more self-explanatory. Use this skill for Python files, JavaScript/TypeScript files, or any programming language where code documentation is needed. Use this skill when establishing documentation standards, avoiding over-commenting, or removing outdated temporal comments about recent changes.

Convert plain text frontmatter values to wikilinks when they match existing notes. Triggers on "wikilinkify frontmatter", "link frontmatter", "convert to wikilinks".

Complete Metalama documentation for aspect-oriented programming in C#. Use when writing aspects, templates, fabrics, or meta-programming code with Metalama.

Update documentation files based on recent changes while enforcing project writing guidelines.

Search and retrieve information from Jira and Confluence using the atlassian-cli tool. Use this skill to find issues, search documentation, manage projects, and track sprints in Atlassian products.

Shared resource library for Airtable integration skills. DO NOT load directly - provides common references (setup, API docs, error handling, field types) and scripts used by airtable-connect, airtable-query, and airtable-sync.

Use when writing or reviewing TypeScript code. Enforces strict mode standards, explicit typing, and best practices. Prevents 'any' types, @ts-ignore comments, and non-null assertions. This is a COMPREHENSIVE skill - consult the detailed guides before writing any TypeScript code.

Look up library documentation using Context7. Use when needing API reference, library docs, framework documentation, or technical documentation lookup. Provides up-to-date, version-specific docs and code examples.

Generate a markdown summary report from candidate_profile.csv with statistics and insights

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs.

Apply project coding standards, conventions, and best practices. Activate when writing or reviewing code.

Testing guide for GRE projects covering pytest-django (backend) and Vitest (frontend).Use when: writing tests, debugging test failures, setting up test fixtures, mocking.Triggers: test, pytest, vitest, unittest, mock, fixture, TestCase, assert, coverage, TDD

Document revision workflow tool (CLI: `rev`). Use when working with Word documents containing reviewer comments, importing track changes to markdown, replying to reviewer comments, building PDF/DOCX outputs, generating response letters, validating citations/DOIs, or any document revision task.

CUI JavaDoc documentation standards for Java classes, methods, and code examples

Extract comprehensive JSON design specifications from visual sources including Figma exports, UI mockups, screenshots, or live website captures. Produces W3C DTCG-compliant output with component trees, suitable for code generation, design documentation, and developer handoff.

Standards and best practices for writing effective tests including the testing pyramid, test structure patterns, and coverage guidelines

.moai/config.json official schema documentation, structure validation, project metadata, language settings, and configuration migration guide. Use when setting up project configuration or understanding config.json structure.

Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy | Dùng khi tìm tài liệu, hướng dẫn, docs, documentation, api docs, tham khảo.

Autonomous GitHub repository discovery and integration agent that hunts relevant open-source projects for BidDeed.AI (foreclosure auctions) and Life OS (productivity/ADHD). Searches GitHub for repos matching domain keywords, evaluates relevance via README/tech stack analysis, auto-adds as submodules or archives to target repos, and alerts Ariel with actionable summaries. Use when (1) User requests "find relevant GitHub repos", (2) Exploring new integrations for BidDeed.AI workflows, (3) Discovering productivity tools for Life OS, (4) Keeping repositories updated with latest open-source innovations.

Generate step-by-step walkthrough guides for testing features or bug fixes. Use when the user asks to create testing instructions, QA guides, walkthrough documentation, or says something like "write a walkthrough" or "create testing steps" after implementing a feature.