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show-me-your-work — Claude Code skill

Keeps a reviewable decision trail for long-running or unattended work. Use it when someone needs to inspect how an agent reached its result.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code
Open on GitHub

What show-me-your-work does

This skill keeps one TSV decision log, with a row for each meaningful choice, its reason, evidence pointer, and outcome. Start from references/decision-log-template.tsv, or add rows with scripts/log.sh <logfile> <phase> <decision> <why> <evidence> <result>.

The log lives in decisions.tsv or .audit/<task-slug>.tsv and stays out of git by default. It is append-only: a mistaken entry gets a later row that supersedes it. Commit the file when a reviewer needs the trail to trust the work.

Before handoff, the skill checks this run's rows against its transcript and resolves the evidence pointers. It also calls for a subagent from a different model family to flag weak evidence, skipped verification, and risky choices in an “Attention” section. That requirement means you need access to the run transcript and a separate model family for review.

What it helps with

  • record a decision with its reason
  • link commits, files, or artifacts as evidence
  • document a pivot, blocker, or revert
  • audit log rows against the run transcript
  • give a reviewer a trace of the work

Example prompts for the agent

  • /show-me-your-work keep a decision log for this multi-phase task.
  • /show-me-your-work log checkpoints and evidence as you work.
  • /show-me-your-work audit the trail against this run before handoff.

How to install show-me-your-work

1Skills CLI (Vercel)

npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code

2Manually: put the files in place

~/.claude/skills/show-me-your-work/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/show-me-your-work/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about show-me-your-work

How do I install show-me-your-work in Claude Code?

Run npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code, then run npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code again. The skill file is at ~/.claude/skills/show-me-your-work/SKILL.md.

What does show-me-your-work do?

It maintains a TSV trail of decisions, reasons, evidence, and results. Before handoff, it audits the trail against the current run’s transcript and calls for cross-model review.

Where should the decision log live?

Use decisions.tsv in the work directory for one effort. For concurrent efforts, use .audit/<task-slug>.tsv; the log stays outside git by default.

Source text

SKILL.md · MIT
---
name: show-me-your-work
description: "Keep a reviewable decision trail for long-running or unattended work: 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 /show-me-your-work, autonomous or multi-phase runs, or work a human reviews after stepping away."
disable-model-invocation: true
---

# 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: commit SHA, PR number, `file:line`, or an artifact, trace, or screenshot path. Never a paragraph.
- **result.** The outcome or predicate state: `tests green`, `reverted`, `pixel-diff 0`, `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 work first, about 100 components and roughly 75 hours	wanted to know the size before starting a long run	commit 3a9f1c2	found 5 things to sort out before starting
2026-05-24T09:40:00Z	harness	took screenshots of the old version before changing anything	so we can compare old against new and catch any visual change	scripts/snapshot.sh, baseline/	saved 120 reference screenshots
2026-05-24T11:15:00Z	widget	moved the widget styles over without changing how it looks	keep the change small and the result identical	commit 7c21e0a, pixel-diff 0	looks identical, tests pass
2026-05-24T12:30:00Z	widget	threw out a helper's work because its screenshots were blank	checked the real files instead of trusting its summary	worktree reset	reverted, tightened the instructions for next time
```

## Logging 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>`. It stamps `ts`, writes the header on first use, strips stray tabs/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.

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.

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, and leave it out of git.

Commit it only when the work is ambitious enough that a reviewer needs the trail to trust the result.

## 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 **encode-lessons-in-structure** principle 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 from the active workspace's session directory: in Cursor, the `agent-transcripts/` directory the system prompt names. In Claude Code, `~/.claude/projects/<slug>/` (the workspace path with every character that isn't a letter or digit turned into "-"). In Pi, `~/.pi/agent/sessions/--<slug>--/`. In Codex, the `~/.codex/sessions/` file whose first line has `payload.cwd` equal to the workspace path. Don't glob across every project's directory. 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.
- 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 family from the one that did the work. Self-review is not a substitute. The subagent reads the audit trail and the run's transcript, then flags what the user should pay attention to. Not a redo of the work, a scan for what's suboptimal or risky. Pick each subagent's reasoning level and fast or standard speed for the job, per the Subagents section of the **poteto-mode** skill.

- 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).
- 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. GitHub renders 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.

© backnotprop · MIT · backnotprop/pstack

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