Loading...
Loading...
Found 8 Skills
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 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.
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.
Analyzes code comments for accuracy, completeness, and long-term maintainability. Identifies misleading comments, comment rot, and documentation gaps. Triggers: After adding documentation, before finalizing a PR, when reviewing comments. Examples: - "Check if the comments are accurate" -> verifies comments match code behavior - "Review the documentation I added" -> analyzes new comments for quality - "Analyze comments for technical debt" -> finds outdated or misleading comments - "Are my docstrings correct?" -> validates documentation accuracy
Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents
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.
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.