show-me-your-work
Skill1 starsChanged 57 days agoMITView on GitHub
Keep a reviewable decision trail for long-running, unattended, or multi-phase work: one append-only TSV with a row per decision, carrying what was chosen, why, the evidence, and the result. Use when a run is long enough that a human will review it after stepping away, when work is dispatched to builders, or when another skill needs an audit-trail format.
67 other projects use a version of this, 57 of them edited.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- caidanw/skillsedited, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- endqwerty/endstackedited, first seen Nov 8, 2026
- tristanphvn/keeledited, first seen Nov 8, 2026
- hidenobunagai/astackedited, first seen Nov 8, 2026
Used with
Projects with it also use ketchup-video, principle-explain-the-number and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
tristanphvnSkillketchup-video
Catch the user up like /keel:ketchup, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /keel:ketchup-video.
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ianclearySkillprinciple-explain-the-number
Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
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eryzerzSkillmake-bot-ui
Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.
Also in 20 projects that use this
bnemaSkillsetup-pstack
Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.
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ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
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instructureSkillketchup
Rebuild context after /clear by analyzing uncommitted changes across Canvas LMS and all plugin repositories
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Other versions67 projects use a version of this.
Word for word · 0
None found.
Edited · 57
- backnotprop/pstack★ 3.8k16% same
- jtaroreh/agystack★ 12810% same
- uzairansaruzi/p3-stack★ 12615% same
- dsebban/skills★ 7115% same
- The-AIE/the-gibson★ 4416% same
- overextended/skills★ 2214% same
- creedants/pstack-t3★ 1813% same
- painhardcore/pstack★ 1813% same
- Scino/fstack★ 1818% same
- mariusflorescu/pstack-t3★ 1314% same
47 more not listed
Wrote their own version · 10
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- timharris707/skills★ 44same name
- TheOnlyFusionCube/potetos-for-everyone★ 21same name
- kinqsradio/orbyn-fullstack-skills★ 4same name
- orbyn-dev/orbyn-fullstack-skills★ 4same name
- requie/endostack★ 4same name
- jonmumm/skills★ 2same name
- johnnygreco/skills★ 1same name
- 3metaJun/mstack★ 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 repository27 other files it gives its agents.
- blast-radiusSkill
- codebase-designSkill
- code-reviewSkill
- create-verification-skillSkill
- designingSkill
- domain-modelingSkill
- handoffSkill
- hf-cliSkill
- howSkill
- implementSkill
- improve-codebase-architectureSkill
- interrogateSkill
- laziness-protocolSkill
- maintain-verification-skillSkill
- navigatorSkill
- no-commentsSkill
- prototypeSkill
- recallSkill
- redesign-from-first-principlesSkill
- researchSkill
- review-unpushedSkill
- scopeSkill
- technical-writingSkill
- tracerSkill
- unslopSkill
- whiteboardSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
6 rules. 1 is common, 3 are distinctive, and 2 are very specific to this project.
1
Common
Most of the 64 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Start from references/decision-log-template.tsv, which is the header row and nothing else.
- Very specific: line 31
Write each row the way you would tell a teammate what you did.
- Common: line 47
Commit it when a reviewer needs the trail to trust the result.
- Distinctive: line 55
Prefer evidence produced by a committed script over a hand-made one-off.
- Distinctive: line 64
Every row maps to a real action.
- Distinctive: line 77
Every reply for a run that produced a trail ends with an Attention section: the reviewing model named on its own line, then one line per …
“Common” is measured: kept by at least 6 in 10 of the 64 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
Show me your work
Keep one canonical log, so a human who stepped away can reconstruct the run without reading the transcript.
The trail is not a summary. A summary is written at the end, by the agent that already knows how the story turned out, and it smooths over the fork it took wrongly and reverted. A trail is written as it happens and cannot.
This is not handoff, which compacts a conversation so the next agent can continue. This is for the human reviewer, during the run, and the two carry different things: the handoff carries state, this carries decisions and their evidence.
The format
A single TSV file. One row per decision. Cells stay single-line, and evidence is a pointer rather than prose.
Start from references/decision-log-template.tsv, which is the header row and nothing else. references/example-trail.tsv shows five rows written in the right voice. Read it to calibrate, and do not copy its rows into a real log. The columns:
- ts. ISO 8601 timestamp.
- phase. The phase, workstream, or queue item id this belongs to.
- decision. What was chosen or done, one line.
- why. The reason in plain words. Where a principle drove it, say the thing plainly rather than tagging it.
- evidence. A pointer that proves it: a commit SHA, a PR number, a
file:line, an anchor's exit, or a path to an artifact, trace, or screenshot. Never a paragraph. - result. The outcome:
tests green,anchor build failed,reverted,pixel-diff 0,INCONCLUSIVE,open.
Where the project runs the sprint harness, use its own vocabulary in result for anything that reached a verdict: accepted, rejected, unverified, notBuilt. A reviewer reading the trail and the batch history should not have to translate between two sets of words for the same outcome.
Logging a row
Write each row the way you would tell a teammate what you did. Plain words, concrete actions. The unslop skill applies to log text too, and a row full of "leveraged", "robust", and "comprehensive" is a row that says nothing.
Use the helper:
scripts/log.sh <logfile> <phase> <decision> <why> <evidence> <result>It stamps ts, writes the header on first use, strips stray tabs and newlines out of cells, and guards the leading characters a spreadsheet would read as a formula. A plain printf append works too, but then those bytes are yours to mind, and any cell built from generated or user-supplied text is where it bites.
Log decisions and checkpoints, not actions. A fork chosen. A unit completed, with its verification result. A pivot or a revert, with what triggered it. A blocker surfaced. An anchor fixed. For a loop, one row per iteration. Skip the trivial and the self-evident: the trail is worthless if a reviewer has to skim 200 rows to find the four that mattered.
Where it lives
By default the log is a working artifact and stays out of git: decisions.tsv in the working directory, or .audit/<task-slug>.tsv when several efforts run at once.
Commit it when a reviewer needs the trail to trust the result.
One exception that is not a judgment call. Builders and verifiers run in git worktrees, which materialize only tracked files. An uncommitted trail does not exist inside a builder's worktree. So work dispatched through QUEUE.json commits its trail as part of the node, or the trail is not there when the reviewer opens the branch. Decide this before dispatch, not after.
Rules
- One row is one decision or checkpoint.
- Append-only. A wrong call gets a new row that supersedes it. Never edit or delete history, because the reverted fork is often the most useful row in the file.
- Prefer evidence produced by a committed script over a hand-made one-off. A reviewer who can rerun the check does not have to trust the row.
- A negative result is a row. An
INCONCLUSIVEis a row. Neither is a pass, and neither gets quietly dropped on the way to a green summary.
Audit the trail before you hand it back
At the end of the run, check the log told the truth. Read this run's transcript, locating it the way the recall skill describes rather than assuming a path, and never reading another workspace's transcripts to do it.
Walk the log against what actually happened:
- Every row maps to a real action. Cut anything invented or aspirational.
- Each row's evidence resolves, and shows what the row claims it shows.
- A fork, pivot, or abandoned approach that shaped the work but is not logged is a gap. Add it.
- Drop padding.
Fix the log, not the story. Where the work diverged from what a row claims, the row is wrong.
Cross-model review of the trail
Before handing back, spawn one sub-agent on a different model family from the one that did the work. Self-review does not substitute: the model that made a bad call is the model least able to see it. Take reviewers from interrogate.reviewers, then models.roles.reviewer, the same way interrogate does. Paste the trail and the relevant context into the prompt rather than citing paths, since a reviewer on another vendor's model cannot read this repo.
Build its prompt from references/trail-reviewer.md. It reads the trail and the run, and flags what the user should look at. It does not redo the work.
Every reply for a run that produced a trail ends with an Attention section: the reviewing model named on its own line, then one line per flag pointing at a specific row. "No flags" is a valid value, and saying nothing at all is not.
Composing this skill
Other skills route their audit trail here rather than inventing one. Reference this skill by name and let it own the format. Do not restate the columns.
Reply: the path to the trail, the rows a reviewer should start with, and the Attention section.
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.

