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Found 22 Skills
Audit and measure developer documentation quality using functional quality, structural quality, accessibility, purpose, findability, accuracy, completeness, clarity, concision, consistency, analytics, user goals, doc goals, and metric plans. Use when evaluating docs, designing documentation metrics, selecting dashboards, or linking docs work to user and business outcomes.
Standards and quality gates for code comments, JSDoc/docstrings, technical documentation, and git commit messages. Use to evaluate or write high-signal, concise documentation and eliminate AI comment fluff, over-explanation, ghost commentary, commit message storytelling, and stylistic tells.
Create, restructure, review, audit, or migrate DeepSeek Harness Markdown documentation, package READMEs, and the documentation website using audience-first hierarchy, kind-mapped YAML metadata, bilingual line alignment, summary/contents navigation, progressive user-to-developer detail, executed-operation fact-checking, and repository validation. Use for new or revised DSH docs, docs-tree organization, documentation-quality audits and budgets, website page publishing, and bilingual documentation structure changes.
Writes and audits technical documentation using Diataxis, Stripe-style clarity, and the Eight Rules. 52 rules across 9 categories covering voice, structure, clarity, code examples, formatting, navigation, scanability, content hygiene, and review. Use when writing docs, creating READMEs, documenting APIs, writing tutorials, building a docs site, or auditing documentation quality.
Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate project memory files. Also triggers for "project memory optimization", "CLAUDE.md quality check", "documentation review", or when a project memory file needs to be created from scratch. This skill scans memory files, evaluates quality against standardized criteria, outputs detailed quality reports with scores and recommendations, then makes targeted updates with user approval.
Systematically fix linting issues in markdown files using markdownlint-cli2. This skill should be used when needing to scan, diagnose, and fix markdown formatting issues in projects with one or more .md files, with special attention to ordered list numbering (MD029) errors.
Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set up VS Code extension and GitHub Actions workflows. Supports markdown flavors including GitHub Flavored Markdown (GFM) and CommonMark. Use when working with markdown files, encountering validation errors, configuring markdownlint, setting up linting workflows, troubleshooting linting issues, establishing markdown quality standards, or configuring flavor-specific rules for tables, task lists, and strikethrough.
Lint and fix Markdown files using markdownlint-cli2. Use when asked to: lint, fix, format, or clean up Markdown (.md) files; enforce Markdown best practices or style standards; resolve markdownlint errors or warnings. Triggers on requests mentioning markdownlint, markdown linting, or formatting Markdown to best standards.
Comprehensive documentation quality system combining automated validation with ToolUniverse-specific auditing. Detects outdated commands, circular navigation, inconsistent terminology, auto-generated file conflicts, broken links, and structural problems. Use when reviewing documentation, before releases, after refactoring, or when user asks to audit, optimize, or improve documentation quality.
Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents
Analyze decisions made during implementation, review, or design work and distinguish project-wide guidance from route-specific fixes, already-documented rules, and premature patterns. Use when the user asks which lessons or decisions deserve inclusion in project documentation, wants to review proposed guidelines before approving documentation changes, or asks to update project guidance from recent work.
Create or update repository README.md files with concise, human-skimmable structure and verified metadata. Use when writing or refreshing README content, adding or correcting badges, documenting stack and deployment/services, and explicitly reporting testing coverage (unit, integration, e2e api, e2e web) plus CI execution status.