Update Readme

See modules/language-audit.md for detailed detection patterns and commands.

Step 2 - Exemplar Research (update-readme:exemplar-research)

• For each primary and secondary language, use web search to locate high-quality READMEs (star count, recency, maintainer activity).
• Capture 2-3 exemplar repositories per language and summarize why each is relevant (section order, visuals, quickstart clarity, governance messaging, math exposition, etc.).
• Store citations for every exemplar so the final summary references them explicitly.

See modules/exemplar-research.md for search query patterns and evaluation criteria.

Step 3 - Outline Alignment (update-readme:outline-aligned)

• Compare current README headings (rg -n '^#' README.md) against patterns observed in exemplars.
• Draft a target outline covering: value proposition, installation, quickstart, deeper usage/configuration, architecture/feature highlights, performance or math guarantees, documentation links, contribution/governance, roadmap/status, and licensing/security notes.
• validate internal documents (docs/, specs/, wiki, commands/) are mapped to the relevant sections so the README anchors them with context-sensitive links.

Step 4 - Apply Edits (update-readme:edits-applied)

• Implement the new structure directly in README.md (or the specified file).
• Follow Skill(leyline:markdown-formatting) conventions: wrap prose at 80 chars (prefer sentence/clause boundaries), blank lines around headings, ATX headings only, blank line before lists, reference-style links for long URLs.
• Maintain concise, evidence-based prose; avoid marketing fluff.
• Add comparison tables, feature lists, or diagrams only if they originate from current repository assets (no speculative content).
• When referencing algorithms or performance claims, point to benchmarks or tests within the repository or documented math reviews.

Step 4.5 - AI Slop Detection (update-readme:slop-scanned)

Run Skill(scribe:slop-detector) on the updated README to detect AI-generated content markers.

Scribe Integration

The scribe plugin provides AI slop detection:

Skill(scribe:slop-detector) --target README.md

This detects:

• Tier 1 words: delve, tapestry, comprehensive, leveraging, etc.
• Phrase patterns: "In today's fast-paced world", "cannot be overstated"
• Structural markers: Excessive em dashes, bullet overuse, sentence uniformity
• Marketing language: "enterprise-ready", "cutting-edge", "seamless"

Remediation

If slop score exceeds 2.0 (moderate), apply Skill(scribe:doc-generator) principles:

1. Ground every claim with specifics
2. Remove formulaic openers/closers
3. Use numbers, commands, filenames over adjectives
4. Balance bullets with narrative prose
5. Show authorial perspective (trade-offs, reasoning)

For significant cleanup needs, use:

Agent(scribe:doc-editor) --target README.md

Step 5 - Verification & Reporting (update-readme:verification-reporting)

• Re-read the updated README for clarity, accessibility (section lengths, bullet balance), and accurate links.
• Run git diff README.md (or the edited file) and capture snippets for the final report.
• Summarize detected languages, exemplar sources (with citations), key structural decisions, and follow-up TODOs (e.g., add badges, upload diagrams).

Exit Criteria

• All TodoWrite items are complete.
• The README reflects a modern, language-aware structure, referencing both internal docs and external inspiration with citations.
• Research notes and command references are captured so future reviewers can reproduce the process.

Troubleshooting

Common Issues

Documentation out of sync Run make docs-update to regenerate from code

Build failures Check that all required dependencies are installed

Links broken Verify relative paths in documentation files