@athola/update-readme
skillRun git-workspace-review first to capture repo context. Use when README requires structural refresh, adding features to documentation, aligning readme with exemplar standards, improving project presentation. Do not use when updating inline docs - use doc-updates. DO NOT use when: consolidating ephemeral reports - use doc-consolidation.
apm::install
apm install @athola/update-readmeapm::skill.md
---
name: update-readme
description: 'Run git-workspace-review first to capture repo context. Use when README
requires structural refresh, adding features to documentation, aligning readme with
exemplar standards, improving project presentation. Do not use when updating inline
docs - use doc-updates. DO NOT use when: consolidating ephemeral reports - use doc-consolidation.'
category: artifact-generation
tags:
- readme
- documentation
- exemplars
- research
- structure
tools:
- Read
- Write
- Edit
- Bash
- WebSearch
- TodoWrite
complexity: high
estimated_tokens: 1200
modules:
- language-audit
- exemplar-research
progressive_loading: true
dependencies:
- sanctum:shared
- sanctum:git-workspace-review
- imbue:proof-of-work
- scribe:slop-detector
- scribe:doc-generator
---
# README Update Workflow
## When To Use
Use this skill whenever the README requires a structural refresh.
Run `Skill(sanctum:git-workspace-review)` first to capture repo context and diffs.
## When NOT To Use
- Updating inline docs: use doc-updates
- Consolidating ephemeral reports: use doc-consolidation
## Required TodoWrite Items
1. `update-readme:language-audit`
2. `update-readme:exemplar-research`
3. `update-readme:outline-aligned`
4. `update-readme:edits-applied`
5. `update-readme:slop-scanned` - AI marker detection via scribe
6. `update-readme:verification-reporting`
## Step 1 - Language Audit (`update-readme:language-audit`)
- Confirm `pwd`, `git status -sb`, and the baseline branch for reference.
- Detect dominant languages using repository heuristics (manifest files, file counts).
- Note secondary languages that influence documentation (e.g., a TypeScript frontend and a Rust backend) so the README can surface both.
- Record the method and findings.
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