summary
Skill1 starsChanged 24 days agoMITView on GitHub
Summarise a finished devflow task for the developer (what changed and why, behaviour now, open review items and leftovers), write a review guide with only the spots worth a human check, and a plain-language changelog for whoever raised the task. Use when a devflow task's implementation and review are done.
11 other projects use a version of this.
Adopted by
Most recently taken up by
- geneontology/go-skillstheir own version, first seen Nov 1, 2026
- saksham10arora-dotcom/everything-claude-codextheir own version, first seen Nov 1, 2026
- Dev-PGVAA/skillstheir own version, first seen Oct 16, 2026
- finos/git-proxytheir own version, first seen Oct 9, 2026
- isas1/skillstheir own version, first seen Sep 21, 2026
- postproxy/postproxy-claude-plugintheir own version, first seen Sep 8, 2026
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- finos/git-proxy★ 263same name
- isas1/skills★ 210same name
- saksham10arora-dotcom/everything-claude-codex★ 74same name
- yarikleto/claude-teacher-plugin★ 9same name
- geneontology/go-skills★ 1same name
- timsvoice/skills★ 1same name
- Dev-PGVAA/skills★ 0same name
- kys42/claude-skills★ 0same name
- postproxy/postproxy-claude-plugin★ 0same name
- TechHU-GS/cc-discipline★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 19
Read .flow/<slug>/plan.md, review.md, every agents/implementer-<n>-report.md and agents/state.json.
- Very specific: line 23
Write .flow/<slug>/review-guide.md as ${CLAUDE_PLUGIN_ROOT}/skills/summary/references/review-guide.md describes: only what matters for the …
- Very specific: line 27
Write .flow/<slug>/summary.md and show it in the conversation, in the language of the conversation.
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Summary
Tell the developer what their codebase looks like now, in a form they can read in a minute. They should come away knowing what changed, what behaves differently, and what is still open. Everything else stays in the files.
The few spots that deserve their eyes go into a review guide they work through, so their own review covers what the automated one cannot instead of the whole diff.
Then write the same story for the person who raised the task (a product owner, a tester, a client, a teammate), so the developer can hand it over as it is.
Task: $ARGUMENTS
1. Gather
Read .flow/<slug>/plan.md, review.md, every agents/implementer-<n>-report.md and agents/state.json. Get the change itself with git diff --stat <base> (base from state.json) and read the hunks you are going to point at.
2. Review guide
Write .flow/<slug>/review-guide.md as ${CLAUDE_PLUGIN_ROOT}/skills/summary/references/review-guide.md describes: only what matters for the task, most important first.
3. Summary
Write .flow/<slug>/summary.md and show it in the conversation, in the language of the conversation. Leave out empty sections; keep it to about twenty lines.
## <task title>: done
Tier: <tier> · review: <depth>, <rounds> round(s)
What changed and why
- <area>: one line on what changed and why
- ...
Behaviour now
- <before → after, as users, API consumers or data see it>
Your review
<N> checks, about <M> minutes: .flow/<slug>/review-guide.md
Review
Findings: <the review's Findings line> · open: <F-numbers still open, or "none">
Left open
- ASSUMPTION: <assumptions never verified>
- <failed or skipped checks>
Later
- <implementer suggestions the developer did not apply, with the review's verdict, one line each, at most five>4. Changelog for the requester
Write .flow/<slug>/changelog.md for the person who asked for the task. They know the product, not the code: write what they would notice, in plain words, with no file paths, code, tool names or review jargon. Keep it to about fifteen lines, short enough to paste into the issue, the ticket or a message. Write it in the language of the conversation unless the developer asks for another; leave out empty sections.
# <task title in the requester's words>
<date> · <the issue or ticket reference, when the task named one>
## In short
One to three sentences: what was asked and what is done now.
## What changed
- <a change as the requester would describe it>
## What is different now
- <before → after, as users, customers or other teams see it>
## How to check it
- <where to go, what to do, what should happen>
## Not included or still open
- <left out on purpose, waiting for a decision, known limits>A task that changed no code (an analysis, an audit) gets the same file: what was looked into, what came out, and what is recommended next.
Show it in the conversation after the summary, under one line saying it is ready to hand over, with its path.
5. Point to the review guide
End with the review guide, so the developer's next step is their own review: its path, how many checks and minutes, and the questions under "Read", one line each. Ask them to work through the file and tick the boxes before calling the task done. Do not paste the whole guide.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

