show-me-your-work
Skill1 starsChanged 13 days agoMITView on GitHub
Keep a reviewable decision trail for long-running or unattended analysis: a TSV log with one row per decision (what, why, evidence, result). Local by default; commit it when a reviewer needs the trail to trust the result. Use for /astack:show-me-your-work, autonomous or multi-phase runs, or analysis a human reviews after stepping away.
67 other projects use a version of this, 58 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
- orbyn-dev/orbyn-fullstack-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use ketchup-video, make-bot-ui and 3 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.
Also in 14 projects that use this
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.
Also in 25 projects that use this
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.
Also in 14 projects that use this
instructureSkillketchup
Rebuild context after /clear by analyzing uncommitted changes across Canvas LMS and all plugin repositories
Also in 25 projects that use this
Other versions67 projects use a version of this.
Word for word · 0
None found.
Edited · 58
- backnotprop/pstack★ 3.8k71% same
- jtaroreh/agystack★ 12839% same
- uzairansaruzi/p3-stack★ 12669% same
- dsebban/skills★ 7165% same
- The-AIE/the-gibson★ 4473% same
- timharris707/skills★ 4423% same
- overextended/skills★ 2263% same
- creedants/pstack-t3★ 1859% same
- painhardcore/pstack★ 1866% same
- Scino/fstack★ 1847% same
48 more not listed
Wrote their own version · 9
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame 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 repository50 other files it gives its agents.
- analyst-modeSkill
- architectSkill
- arenaSkill
- astack-helpSkill
- benchmark-checklistSkill
- blast-radiusSkill
- catch-upSkill
- correctSkill
- create-formal-verification-skillSkill
- figure-it-outSkill
- howSkill
- interrogateSkill
- in-your-own-wordsSkill
- maintain-formal-verification-skillSkill
- no-commentsSkill
- plain-wordsSkill
- principle-attack-the-premiseSkill
- principle-boundary-disciplineSkill
- principle-build-the-leverSkill
- principle-define-the-questionSkill
- principle-encode-lessons-in-structureSkill
- principle-experience-firstSkill
- principle-explain-the-numberSkill
- principle-fix-root-causesSkill
- principle-foundational-thinkingSkill
- principle-guard-the-context-windowSkill
- principle-laziness-protocolSkill
- principle-make-operations-idempotentSkill
- principle-minimize-reader-loadSkill
- principle-model-the-domainSkill
- principle-name-the-estimandSkill
- principle-never-block-on-the-humanSkill
- principle-prove-it-worksSkill
- principle-reproduce-from-clean-stateSkill
- principle-respect-the-grainSkill
- principle-sequence-verifiable-unitsSkill
- principle-simulate-the-methodSkill
- principle-subtract-before-you-addSkill
- principle-test-behavior-not-implementationSkill
- recallSkill
- reflectSkill
- retail-analyticsSkill
- sharpenSkill
- statechartSkill
- swarmSkill
- tddSkill
- teachSkill
- technical-writingSkill
- unslopSkill
- whySkill
The file
We split this skill into the rules it gives an agent
8 rules. 3 are common, 4 are distinctive, and 1 is very specific to this project.
3
Common
Most of the 64 edited versions we read keep these.
4
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
- Common: line 8
Keep one canonical log.
- Common: line 35
Write each entry the way you'd tell a teammate what you did.
- Distinctive: line 41
Keep cells free of raw data, row-level samples, credentials, and notebook outputs.
- Common: line 49
Commit it only when the work is ambitious enough that a reviewer needs the trail to trust the result.
- Distinctive: line 54
Prefer evidence produced by committed scripts over hand-made one-offs (the principle-encode-lessons-in-structure skill).
- Distinctive: line 60
Check that every row maps to a real decision or action.
- Distinctive: line 61
Check that each row's evidence resolves and shows what the row claims.
- Very specific: line 79
Read top to bottom, follow the evidence pointers, spot-check.
“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.
The format
A single TSV file, one row per decision. Cells stay single-line. Evidence is a pointer, not prose.
Copy references/decision-log-template.tsv (the header row) to start a clean log. Columns:
- ts. ISO8601 timestamp.
- phase. The phase or workstream.
- decision. What was chosen or done, one line.
- why. The reason in plain words. If a principle drove it, say it plainly, not as a jargon tag.
- evidence. A link or path that proves it: a commit SHA, PR number,
file:line, or a notebook, query, chart, or row-count artifact path. Never a paragraph. - result. The outcome or predicate state:
counts match,reverted,diff 0 rows,INCONCLUSIVE,open.
An example, plain-spoken so a reviewer reads it at a glance.
ts phase decision why evidence result
2026-05-24T09:02:00Z frame counted the source tables first, 14 tables and about 80 million rows wanted to know the data size before a long rebuild notebooks/eda_profile.md found 3 duplicate order keys to resolve first
2026-05-24T09:40:00Z baseline saved the current monthly revenue table before changing anything so the new table can be compared with the old one row by row baseline/orders_monthly_before.parquet saved 36 months of totals
2026-05-24T11:15:00Z orders changed the dedup rule to keep the latest row per order_id the old rule kept the first row, which dropped refunds commit 7c21e0a, scripts/build_orders.py:42 revenue differs by 0.4 percent, matches refund table
2026-05-24T12:30:00Z dashboard threw out a helper's chart because it plotted an empty frame checked the real output instead of trusting its summary chart reset reverted, added a row-count assertion for next timeLogging a row
Write each entry the way you'd tell a teammate what you did. Plain words, concrete actions, no AI speak or abstract jargon (the unslop skill applies to log text too).
Use the helper scripts/log.sh <logfile> <phase> <decision> <why> <evidence> <result> from this skill's directory. It stamps ts, writes the header on first use, strips stray tabs and newlines, and prefixes any cell starting with =, +, -, or @ with a single quote. A bare printf appending a row works too, but mind those same bytes if cells come from generated or user-supplied text. Spreadsheets run such cells as formulas.
Log decision points and checkpoints, not every action. A fork chosen, a unit completed with its verification result, a pivot or revert with its trigger, a blocker surfaced, a gate fixed. For loop runs, one row per iteration. Skip the trivial and self-evident.
Keep cells free of raw data, row-level samples, credentials, and notebook outputs. Cite a path to the artifact instead.
A run is one agent conversation, including its later turns and any summary of it. A pickup, a replacement agent, or a new chat starts a new run. When a run adds to a log that already has rows, its first row has phase start, and so does its first row after another run's start row. So a run that comes back to a log in a later turn first reads the log's last rows to see whether another run wrote since. A start row names the ts range of the rows before it that this run did not write, and its evidence names this run, such as its agent ID. Use phase start for nothing else.
Where it lives
By default the log is a working artifact, not committed. Keep it at decisions.tsv in the work dir, or .audit/<task-slug>.tsv when several efforts run at once. Add the path to .gitignore so it never lands in a commit by accident.
Commit it only when the work is ambitious enough that a reviewer needs the trail to trust the result. Then commit it with git add and git commit like any other file.
Rules
- Append-only. A wrong call gets a new row that supersedes it. Never edit or delete history.
- Prefer evidence produced by committed scripts over hand-made one-offs (the principle-encode-lessons-in-structure skill).
Audit the log against the transcript
At the end of the run, before handing back, check the log told the truth. Read this run's transcript at ~/.claude/projects/<slug>/<session>.jsonl, where the slug is the workspace path with its separators replaced by - (list ~/.claude/projects/ to find the exact folder). Don't glob across ~/.claude/projects/*/. That reads unrelated private chats. Walk this run's rows against what actually happened. Each stretch of them begins at one of this run's start rows, or at the first row if this run created the log, and ends at the next start row of another run:
- Check that every row maps to a real decision or action.
- Check that each row's evidence resolves and shows what the row claims. Open the converted notebook cell, rerun the synthetic check, or match the row to the human's pasted output.
- A fork, pivot, or abandoned approach that shaped the work but isn't logged is a gap. Add it.
Correct the log, not the story. The audit never edits or removes a row, even an invented one. When a row records neither a real decision nor a real action, or its claim or evidence is wrong, add a row that supersedes it with what actually happened and a pointer that resolves. This audit does not check rows outside this run's stretches. If this run's own work shows one of them is wrong, supersede it like any wrong call.
Cross-model review of the trail
Before handing back, spawn a subagent on a different model from the one that did the work. Self-review is not a substitute. Claude Code offers only Claude models, so the check comes from a different model in the same family, and the reviewer brief says so. Use subagent_type general-purpose, model sonnet and effort high when the work ran on opus, or model opus and effort high when it ran on sonnet. The subagent reads the audit trail and the run's transcript, then flags what the user should pay attention to. It is not a redo of the work. It scans for what's suboptimal or risky.
- Decisions logged with weak or absent evidence.
- Verification steps skipped or claimed without proof in the transcript.
- Choices that look risky in hindsight (premature, scope-creeping, papering over a symptom, a number reported without a row count or a reconciliation).
- Gaps the user would otherwise miss on a casual skim.
Every reply for a run that produced a trail ends with an "Attention" section. Lead with the reviewer's model on its own line (reviewed by <model>), then list each flag pointing to specific rows or moments. "No flags" is a valid value. The model name is not.
Reviewing the trail
Read top to bottom, follow the evidence pointers, spot-check. Many git web interfaces render a committed TSV as a table. column -s$'\t' -t decisions.tsv renders it in a terminal.
Composing this skill
Other skills route their audit trail here instead of inventing one. Reference it by name and let it own the format. Don't restate the columns.
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.

