standup-summary
Skill5 starsChanged 4 months agoMITView on GitHub
Generate a standup or weekly-review update from actual work evidence - commits, branches, PRs, and issues across one or more repositories - grouped into done / in progress / blocked / next, written in plain human sentences rather than commit-message-speak. Use when preparing a daily standup, a weekly review, a sprint update, or answering "what did I work on this week".
6 other projects use a version of this.
Adopted by
Most recently taken up by
- mergisi/awesome-openclaw-agentstheir own version, first seen Nov 1, 2026
- Suryanandx/qvac-uitheir own version, first seen Nov 1, 2026
- dmzoneill/skillstheir own version, first seen Oct 24, 2026
- jholhewres/devclaw-skillstheir own version, first seen Oct 9, 2026
- Iloveiaverymuch/claude-skillstheir own version, first seen May 27, 2026
- nimbalyst/skillstheir own version, first seen Feb 16, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- mergisi/awesome-openclaw-agents★ 4.1ksame name
- nimbalyst/skills★ 28same name
- jholhewres/devclaw-skills★ 4same name
- dmzoneill/skills★ 2same name
- Iloveiaverymuch/claude-skills★ 0same name
- Suryanandx/qvac-ui★ 0same name
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.
In this repository89 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- site/llms-full.txtllms.txt
- site/llms.txtllms.txt
- improveSkill
- academic-writingSkill
- benchmark-reportingSkill
- bibtex-managerSkill
- citation-graphSkill
- citation-verifierSkill
- design-science-methodologySkill
- docx-thesisSkill
- experiment-reproducibilitySkill
- latex-toolkitSkill
- literature-searchSkill
- lit-review-synthesisSkill
- paper-readerSkill
- proofread-academicSkill
- research-figuresSkill
- research-methodologySkill
- research-questionSkill
- statistics-advisorSkill
- supervisor-updateSkill
- systematic-reviewSkill
- thesis-proposalSkill
- coolify-image-appSkill
- coolify-vps-baselineSkill
- deploy-verificationSkill
- express-prisma-coolify-imageSkill
- ghcr-coolify-pipelineSkill
- live-domain-cutoverSkill
- nextjs-coolify-imageSkill
- proxy-client-addressSkill
- vps-ops-toolkitSkill
- adr-writingSkill
- openapi-specSkill
- readme-writingSkill
- technical-writingSkill
- adversarial-reviewerSkill
- api-design-reviewSkill
- code-review-responseSkill
- create-agentSkill
- create-commandSkill
- create-hookSkill
- create-skillSkill
- db-migration-safetySkill
- dependency-upgradeSkill
- dockerfile-best-practicesSkill
- error-handling-patternsSkill
- executing-plansSkill
- explain-codebaseSkill
- fix-ciSkill
- github-actions-pipelineSkill
- grill-with-docsSkill
- incident-postmortemSkill
- logging-and-observabilitySkill
- parallel-agentsSkill
- performance-optimizationSkill
- refactoring-recipesSkill
- solid-principlesSkill
- systematic-debuggingSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Repositories: default to the current one.
- Very specific: line 28
When gh is available and the repo has a GitHub remote, add the PR and review picture:
- Distinctive: line 46
Next: only what the evidence supports (assigned issues, an obvious follow-up) or what the user tells you.
- Distinctive: line 52
Default format, ready to paste into chat:
“Common” is measured: kept by at least 6 in 10 of the 5 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
Reconstruct the update from evidence, not memory. Git and the issue tracker already know what happened; the job is to translate that record into the three or four sentences a teammate actually wants to hear, at the altitude of outcomes ("shipped the retry logic for webhooks") rather than mechanics ("bumped a dependency, fixed a typo, refactored a helper").
Step 1: Establish scope
- Time window: since the last workday for a standup, the last 5-7 days for a weekly. Confirm if unstated and ambiguous.
- Identity: the git author to filter by -
git config user.name/user.emailin the current repo, unless told otherwise. - Repositories: default to the current one; ask whether other repos should be included when the user's request implies more ("what did I do this week" often spans several).
Step 2: Collect the evidence
Per repository:
# Commits by the author in the window, all branches
git log --all --author="<email-or-name>" --since="<window>" \
--pretty="%h %ad %s" --date=short
# Branches touched recently
git for-each-ref --sort=-committerdate refs/heads/ \
--format="%(committerdate:short) %(refname:short)" | head -10When gh is available and the repo has a GitHub remote, add the PR and review picture:
gh pr list --author "@me" --state all --limit 15 \
--json number,title,state,updatedAt,isDraft
gh search prs --reviewed-by "@me" --updated ">$(date -v-7d +%Y-%m-%d)" --limit 10 2>/dev/null
gh issue list --assignee "@me" --state all --limit 15 --json number,title,state,updatedAtUncommitted work counts too: git status --short plus the current branch name usually reveals what is in progress right now.
Step 3: Synthesize at outcome altitude
Group raw items into narrative units - a feature, a fix, a review effort - not one bullet per commit. Fifteen commits on one branch are one line. Then sort into:
- Done: merged, shipped, closed. Lead with the user-visible or team-visible effect.
- In progress: open PRs (note if awaiting review - that is a nudge, not filler), the active branch, drafts.
- Blocked / waiting: PRs awaiting someone else, issues waiting on answers, anything the log shows stalled for days. Only include real blockers; do not invent one for symmetry.
- Next: only what the evidence supports (assigned issues, an obvious follow-up) or what the user tells you. Never fabricate plans.
Translate mechanics to outcomes: "fix flaky auth test, bump vitest, retry CI" becomes "stabilized the auth test suite; CI is green again". Keep PR/issue numbers as parenthetical references.
Step 4: Deliver in the requested shape
Default format, ready to paste into chat:
**Yesterday / this week**
- Shipped X (#123): <one-clause effect>
- Reviewed Y's Z PR (#125)
**Today / next**
- Finish A (PR #124, awaiting review)
**Blocked**
- B: waiting on <who/what> since <when>Match the team's medium when told (Slack markdown, plain text, bullet-less prose). Keep the whole update under ten lines unless asked for the long form; the detail lives in the links. If some evidence source was unavailable (no gh, a repo you could not read), say so in one trailing line rather than silently narrowing the window.
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.

