Explore skills

Single page smart extraction - articles, docs, blog posts to clean markdown

Specializes in content marketing and SEO-focused text generation, featuring AI slop cleaning (30+ patterns), content quality scoring (5 dimensions), watermark removal, copywriting formulas (AIDA, PAS, BAB), programmatic SEO, and content strategy.

Use when an evaluation run needs review-driven documentation updates and a structured documentation summary.

Use when auditing project documentation through the evaluation platform with mandatory research, coordinated audit workers, and structured summaries.

Checks document semantic content against SCOPE and project goals, coverage gaps, off-topic content, SSOT. Use when auditing documentation relevance.

Checks inline code documentation quality: WHY-not-WHAT, density, forbidden content, docstrings quality, actuality, legacy cleanup. Use when auditing comments and docstrings.

Verifies claims in .md files (paths, versions, counts, configs, endpoints) against codebase, cross-checks contradictions. Use when auditing docs accuracy.

Checks races, deadlocks, async hazards, TOCTOU, blocking I/O, and shared resource contention. Use when auditing concurrency correctness.

Creates complete project documentation system (project docs, reference, tasks, tests). Use when bootstrapping docs from scratch or regenerating all.

Coordinates project documentation creation with single context gathering and project type detection. Use when generating project docs subset.

Creates root documentation files (AGENTS.md, CLAUDE.md, docs/README.md, standards, principles). Use for initial project doc setup.

Creates core project docs (requirements, architecture, tech stack, patterns catalog). Use for any project regardless of type.