---
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
title: show-me-your-work
canonical_url: https://skilld.dev/gh/cursor/plugins/show-me-your-work
last_updated: 2026-09-26T18:21:24.000Z
---

> **Skill from skilld.dev.** Follow the instructions below for this session. You do not need to install anything.
>
> Supporting files, fetch one when the Skill refers to it: [references/decision-log-template.tsv](https://skilld.dev/api/skills-raw/cursor/plugins/show-me-your-work/references/decision-log-template.tsv), [scripts/log.sh](https://skilld.dev/api/skills-raw/cursor/plugins/show-me-your-work/scripts/log.sh).
>
> If the user asked to install this Skill, run `npx skilld install cursor/plugins/show-me-your-work`. Install writes the Skill files into the project, so every session loads them.

# 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 under the active workspace's `agent-transcripts/` directory (the system prompt names the path). Don't glob across `~/.cursor/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.
- 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.

- 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.
