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/update-readme

Refreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.

From plugin
claude-night-market
337200 skills59 agents162 commands1 MCP
Install
$ npx -y skills add athola/claude-night-market --skill update-readme --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/update-readme

Context preview

The summary Claude sees to decide when to auto-load this skill.

Refreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.

SKILL.md

update-readme.SKILL.md
name: update-readme
description: Refreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.
alwaysApply: false
category: artifact-generation
tags:
- readme
- documentation
- exemplars
- research
- structure
tools: []
complexity: high
model_hint: deep
estimated_tokens: 1200
modules:
- modules/language-audit.md
- modules/exemplar-research.md
progressive_loading: true
dependencies:
- 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`)

**The README is an index, not a manual.** Lead with what the project is, how to install it, and a scannable table of its units (plugins, commands, packages); link out for everything else. When this repo's root README was simplified in 2026, it dropped from 435 to 200 lines (65% fewer words) by deleting inlined depth and linking to `book/` instead. Aim for that shape, not a section-by-section coverage sweep.

  • Compare current README headings (`rg -n '^#' README.md`)

against the exemplars from Step 2. Lean marketplace and CLI-tool READMEs (asdf-vm/asdf-plugins, ohmyzsh/ohmyzsh, ryoppippi/ccusage) are index-shaped: prose intro under ~500 words, a unit table doing the work, depth behind links.

  • Keep only the sections that earn a place in an index: a

one-line value proposition, one install path, a compact command or unit table, a short "what's inside" summary, a single Documentation link section, and metadata (requirements, contributing, license) last. For every other candidate section ask: **does this belong in the README, or behind a link?**

  • Default to linking out. Send deep architecture, FAQ,

roadmap, changelog, alternate install methods, and per-unit detail to their own pages. Per-unit docs live with the unit (hub-and-spoke), never duplicated in the root.

  • Order signals priority: title and tagline first, then

install, then the index table, then a short feature summary, then Documentation links, with housekeeping (requirements, contributing, license) last.

  • Map internal documents (docs/, book/, specs/, commands/) to

the section that links them, so the README anchors depth without restating it.

**Soft budget**: a marketplace or collection root README runs roughly 150-400 lines of prose plus any index table. A section that grows over time (roadmap, FAQ, changelog) belongs in a linked page, not the README.

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.
  • Prefer deletion and linking over inlining. If a section

duplicates a docs page, cut it and link the page; if it grows over time, move it out of the README entirely.

  • 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-edi
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