Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Refreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill whenever the README requires a structural refresh.
Run Skill(sanctum:git-workspace-review) first to capture repo context and diffs.
update-readme:language-auditupdate-readme:exemplar-researchupdate-readme:outline-alignedupdate-readme:edits-appliedupdate-readme:slop-scanned - AI marker detection via scribeupdate-readme:verification-reportingupdate-readme:language-audit)pwd, git status -sb, and the baseline branch for reference.See modules/language-audit.md for detailed detection patterns and commands.
update-readme:exemplar-research)See modules/exemplar-research.md for search query patterns and evaluation criteria.
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.
A README is a newcomer document. Its reader has never seen
this project, so the test for every candidate section is whether
that reader needs it before they can install and run one thing.
Rationale, alternatives considered, and internals are expert
material: extract them to docs/deep-dive/<topic>.md or the
book/, linked from the README in one line naming who the page
is for. Never delete them to shorten the README. Tier table and
cut test: scribe:slop-detector module audience-targeting.md.
A README that declares a different tier (an internal tool whose only readers already run it) says so in its lead.
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.
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.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.
update-readme:edits-applied)README.md
(or the specified file).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.update-readme:slop-scanned)Run Skill(scribe:slop-detector) on the updated README to detect AI-generated content markers.
The scribe plugin provides AI slop detection:
Skill(scribe:slop-detector) --target README.md
This detects:
If slop score exceeds 2.0 (moderate), apply Skill(scribe:doc-generator) principles:
For significant cleanup needs, use:
Agent(scribe:doc-editor) --target README.md
update-readme:verification-reporting)git diff README.md (or the edited file) and capture snippets for the final report.TodoWrite items are complete.book/ or docs/ page;
depth is linked, not inlined (rg -n '^#' README.md headings
each map to a section that earns a place in an index).newcomer, or declares the tier it
serves instead in its lead.docs/deep-dive/ or book/).Documentation out of sync
Run make docs-sync-check to verify the capabilities docs still
match the plugin registrations
Build failures Check that all required dependencies are installed
Links broken Verify relative paths in documentation files
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
日本語の概要は準備中です。原文の説明を表示しています。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
日本語の概要は準備中です。原文の説明を表示しています。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
日本語の概要は準備中です。原文の説明を表示しています。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
日本語の概要は準備中です。原文の説明を表示しています。