show-me-your-work — скилл для Claude Code
Ведёт проверяемый журнал решений для долгих и автономных запусков. Нужен, когда результат будет изучать другой человек.
npx skills add backnotprop/pstack --skill show-me-your-work -a claude-codeЧто делает show-me-your-work
Скилл создаёт единый журнал в формате TSV: одна строка на решение с причиной, ссылкой на доказательство и результатом. Для нового журнала берёт заголовок из references/decision-log-template.tsv; записи можно добавлять через scripts/log.sh <logfile> <phase> <decision> <why> <evidence> <result>.
Журнал хранится в decisions.tsv или .audit/<task-slug>.tsv и по умолчанию не попадает в git. Историю нельзя править или удалять: ошибочную запись заменяет новая строка со ссылкой на фактическое действие. Коммитить файл следует, когда проверяющему нужен след решений, чтобы доверять результату.
Перед передачей результата скилл требует сверить записи с транскриптом текущего запуска и проверить ссылки на доказательства. Затем нужен субагент из другой модельной семьи, который отмечает риски и пропуски в разделе «Attention». Это повод заранее предусмотреть доступ к транскрипту и запуск такой проверки.
Какие задачи решает
- зафиксировать выбор и его обоснование
- собрать ссылки на коммиты, файлы и артефакты
- отметить откат или блокер отдельной строкой
- сверить журнал с транскриптом запуска
- передать проверяющему след решений
Примеры запросов агенту
/show-me-your-workведи журнал решений для этой многоэтапной задачи./show-me-your-workдобавляй проверочные точки и ссылки на доказательства./show-me-your-workпроверь журнал по транскрипту перед передачей результата.
Как установить show-me-your-work
1Через Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code2Вручную: положить файлы
~/.claude/skills/show-me-your-work/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/show-me-your-work/
1Через Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill show-me-your-work -a codex2Вручную: положить файлы
.agents/skills/show-me-your-work/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill show-me-your-work -a cursor2Вручную: положить файлы
.cursor/skills/show-me-your-work/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install backnotprop/pstack show-me-your-work2Вручную: положить файлы
.github/skills/show-me-your-work/SKILL.md1Через Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill show-me-your-work -a gemini-cli2Командой платформы
gemini skills install https://github.com/backnotprop/pstack --path skills/show-me-your-workВручную: положить файлы
.devin/skills/show-me-your-work/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill show-me-your-work -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о show-me-your-work
Как установить show-me-your-work в Claude Code?
Выполните npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code, затем повторите npx skills add backnotprop/pstack --skill show-me-your-work -a claude-code. Файл скилла расположен в ~/.claude/skills/show-me-your-work/SKILL.md.
Что делает show-me-your-work?
Скилл ведёт TSV-журнал решений, причин, доказательств и результатов. В конце он сверяет записи с транскриптом текущего запуска и требует перекрёстную проверку субагентом другой модельной семьи.
Где хранить журнал решений?
Для одной работы используется decisions.tsv в рабочем каталоге. При параллельных задачах подходит .audit/<task-slug>.tsv; по умолчанию журнал остаётся вне git.
Исходный текст
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.
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