Weekly Engineering Retro
garrytan/gstack
Builds a weekly engineering retrospective from git history: commit counts, per-person contributions, work patterns and code quality numbers over a chosen window.
Final retrospective and self-assessment for participants of Claude Code Lab.
Install Lab Retro
$ npx skills add glebis/claude-skills --skill lab-retro -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install glebis/claude-skills lab-retro --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/lab-retro .claude/skills/lab-retro && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lab-retro" agent skill from https://github.com/glebis/claude-skills/tree/main/lab-retro into .claude/skills/lab-retro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-retro", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/glebis/claude-skills/tree/main/lab-retroType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add glebis/claude-skills --skill lab-retro -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install glebis/claude-skills lab-retro --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/lab-retro .agents/skills/lab-retro && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lab-retro" agent skill from https://github.com/glebis/claude-skills/tree/main/lab-retro into .agents/skills/lab-retro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-retro", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add glebis/claude-skills --skill lab-retro -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install glebis/claude-skills lab-retro --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/lab-retro .cursor/skills/lab-retro && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lab-retro" agent skill from https://github.com/glebis/claude-skills/tree/main/lab-retro into .cursor/skills/lab-retro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-retro", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/glebis/claude-skills.git --path lab-retro--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add glebis/claude-skills --skill lab-retro -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install glebis/claude-skills lab-retro --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/lab-retro .gemini/skills/lab-retro && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lab-retro" agent skill from https://github.com/glebis/claude-skills/tree/main/lab-retro into .gemini/skills/lab-retro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-retro", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install glebis/claude-skills lab-retroInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add glebis/claude-skills --skill lab-retro -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/lab-retro .github/skills/lab-retro && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lab-retro" agent skill from https://github.com/glebis/claude-skills/tree/main/lab-retro into .github/skills/lab-retro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-retro", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add glebis/claude-skills --skill lab-retro -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install glebis/claude-skills lab-retro --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/lab-retro .opencode/skills/lab-retro && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lab-retro" agent skill from https://github.com/glebis/claude-skills/tree/main/lab-retro into .opencode/skills/lab-retro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lab-retro", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lab-retro- GitHub stars
- 390
- Token cost
- ~1.5k tokens
- SKILL.md length
- 672 words
- Files
- 2
- Skills in repo
- 92
- Repo updated
- First seen
- Licence
- MIT
At a glance
Final retrospective and self-assessment for participants of Claude Code Lab.
- Works in 3 steps: "Что вы умели ДО лаборатории?"… → "Что вы умеете ПОСЛЕ?" (multiSelect) → "Сколько часов в неделю экономит Claude…
- Lab retrospective
- SKILL.md covers How to run, Part 1 — Progress audit, Part 2 — Best prompt and Part 3 — Month plan, plus 3 more sections
- Calls curl and jq; reaches lab-feedback-proxy.vercel.app
What it does
Lab Retro is an agent skill from glebis/claude-skills. Final retrospective and self-assessment for participants of Claude Code Lab. Runs four sequential interactive parts — progress audit, best prompt, monthly plan, and feedback — using AskUserQuestion. Triggers on "/lab-retro", "lab retrospective", "claude code lab final", or after completing the 6-week Claude Code Lab cohort.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).
It sits in Product & Project Management, covering Retrospectives. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.
When your agent uses it
- Lab retrospective
- Claude code lab final
- After completing the 6-week Claude Code Lab cohort
Example prompts
- “/lab-retro”
- “lab retrospective”
- “claude code lab final”
- “/lab-retro”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- "Что вы умели ДО лаборатории?" (multiSelect)
- "Что вы умеете ПОСЛЕ?" (multiSelect)
- "Сколько часов в неделю экономит Claude Code?" (singleSelect)
What it can do on your machine
Read from SKILL.md and the folder at commit 3b88261. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
lab-feedback-proxy.vercel.app
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lab Retro loads about 1.5k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 672 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 672 words, ~1,468 tokens.
Download SKILL.mdSave it as
.claude/skills/lab-retro/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- lab-retro
- description
- Final retrospective and self-assessment for participants of Claude Code Lab. Runs four sequential interactive parts — progress audit, best prompt, monthly plan, and feedback — using AskUserQuestion. Triggers on "/lab-retro", "lab retrospective", "claude code lab final", or after completing the 6-week Claude Code Lab cohort.
Claude Code Lab — Final Retrospective
This skill walks a Claude Code Lab graduate through four sequential exercises that consolidate their learning, capture their best work, plan next steps, and collect structured feedback for the organizer.
How to run
Default flow: run all four parts in order. The user can also jump to a specific part with /lab-retro 2 (or just say "part 3").
Between parts, briefly summarize what just happened and ask "ready for part N?" so the user controls the pace.
All artifacts are saved into a single folder lab-retro-output/ in the current working directory:
01-progress.md02-best-prompt.md03-month-plan.md04-feedback.json+04-feedback-report.md
Create the folder if missing.
Part 1 — Progress audit
Goal: help the participant see concrete before/after.
Use AskUserQuestion:
"Что вы умели ДО лаборатории?" (multiSelect)
- Работал с ChatGPT/Claude в браузере
- Использовал CLI инструменты
- Писал код
- Автоматизировал задачи
- Работал с API
"Что вы умеете ПОСЛЕ?" (multiSelect)
- Работаю с Claude Code ежедневно
- Настроил MCP-серверы
- Создал свой Skill
- Автоматизировал реальную задачу
- Задеплоил что-то в веб
- Использую субагентов
- Пишу и читаю CLAUDE.md осознанно
"Сколько часов в неделю экономит Claude Code?" (singleSelect)
- <2
- 2–5
- 5–10
- 10+
Then output a markdown table comparing before/after with skill levels (0–5) and save to lab-retro-output/01-progress.md.
Part 2 — Best prompt
Goal: turn one prompt the participant is proud of into a reusable Skill.
Ask the participant: "Скопируйте или опишите ваш самый полезный промт из лабы."
Then AskUserQuestion:
"Для какой задачи был промт?" (singleSelect)
- Автоматизация рутины
- Создание контента/документации
- Анализ данных/исследование
- Прототипирование/разработка
- Личный workflow / PKM
"Что сделало его эффективным?" (multiSelect)
- Хороший контекст в CLAUDE.md
- Чёткие критерии успеха
- Разбиение на шаги
- Использование Skills/MCP
- Примеры в промте
- Ограничения и анти-критерии
Reformat the prompt as a proper Skill (frontmatter + body), suggest an description line that would trigger it, and save to lab-retro-output/02-best-prompt.md. Suggest where to put it (~/.claude/skills/<name>/SKILL.md).
Part 3 — Month plan
Goal: concrete 4-week plan so momentum doesn't die after the cohort.
AskUserQuestion:
"Главная рабочая задача на месяц?" (singleSelect)
- Проект для клиента/работодателя
- Свой продукт/стартап
- Автоматизация текущих процессов
- Обучение и развитие навыков
"Сколько времени в неделю готовы уделять?" (singleSelect)
- 15–30 минут
- 1–2 часа
- 3–5 часов
- Каждый день
"Какой риск выгорания вы оцениваете для себя?" (singleSelect)
- Низкий — у меня устойчивый ритм
- Средний — иногда залипаю
- Высокий — уже узнал себя в красных флагах
If risk = high, insert a mandatory rest day into the plan and a recommendation to read the AI hygiene slide again.
Generate lab-retro-output/03-month-plan.md with:
- 4 weekly goals
- 1–3 concrete prompts per week
- Success criterion per week
- Stop-conditions (when to pause)
Show full SKILL.md (259 more words)Show less
Part 4 — Feedback for the organizer
Goal: structured feedback that goes back to the lab organizer.
AskUserQuestion:
- "Оцените лабу в целом (NPS)" (singleSelect: 0–10)
- "Самая ценная встреча?" (singleSelect: M01 / M03 / M05 / M07 / M09 / M11)
- "Самая ценная тема за все 6 недель?" (multiSelect)
- Основы Claude Code
- Промтинг и контекст
- Архитектура и субагенты
- MCP / Skills / Hooks
- Agent SDK и деплой
- Evals и качество
- AI-гигиена
- "Что улучшить?" (free text)
- "Главное препятствие, с которым вы столкнулись?" (free text)
- "Согласны ли поделиться отзывом публично?" (singleSelect: да / да-анонимно / нет)
Save TWO files:
lab-retro-output/04-feedback.json— structured for the organizerlab-retro-output/04-feedback-report.md— human-readable summary for the participant
Then submit to the public proxy (no secrets needed):
curl -sS -X POST https://lab-feedback-proxy.vercel.app/api/feedback \
-H "Content-Type: application/json" \
-d "$(jq -nc --arg name "<participant name>" --slurpfile notes lab-retro-output/04-feedback.json '{name:$name, notes:($notes[0]|tostring)}')"The proxy forwards to Baserow table 746002 with a server-side token. Response is {"ok":true,"row_id":<N>}. Confirm row ID with the participant.
If the request fails, fall back to local files only and tell the participant: "submit failed — your feedback is saved locally in lab-retro-output/04-feedback.json, send it to the organizer manually."
Closing
After all four parts, print:
- Where the four files live
- One sentence: "Ваш фреймворк — LOOP. Ваш план — в файле 03. Ваш следующий шаг — открыть его в понедельник утром."
- Suggest committing the
lab-retro-output/folder to a personal repo or vault.
Constraints
- Always use
AskUserQuestionfor structured questions — don't ask in plain text - Never skip a part silently; if the user opts out, write a one-line stub in the corresponding file
- Russian by default (audience is Russian-speaking); switch to English if the user replies in English
- Don't be sycophantic in the feedback report — surface honest patterns
© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in lab-retro of glebis/claude-skills.
- SKILL.md
- .claude-plugin/plugin.json
Open the folder on GitHubat commit 3b88261
Compare with similar skills
Lab Retro next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lab Retro this skillglebis/claude-skills | 390 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Weekly Engineering Retrogarrytan/gstack | 136k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Dough Execute Planterryyin/lizard | 2.6k | — | ~4.3k | Automated safety check: Pass | Custom licence | |
| Oral Paper SkillAdkid-Zephyr/oral-paper-skill | 350 | — | ~1.9k | Automated safety check: Pass | None | |
| Deck Retroasheshgoplani/agent-deck | 1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Dough Execution Retrospectiveterryyin/lizard | 2.6k | — | ~4k | Automated safety check: Pass | Custom licence |
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Categories
Questions about Lab Retro
What does Lab Retro do?
Final retrospective and self-assessment for participants of Claude Code Lab. Lab Retro is an agent skill from glebis/claude-skills. Final retrospective and self-assessment for participants of Claude Code Lab.
When should I use Lab Retro?
Lab Retro fits situations like: lab retrospective; Claude code lab final; after completing the 6-week Claude Code Lab cohort.
How do I install Lab Retro in Claude Code?
Run `npx skills add glebis/claude-skills --skill lab-retro -a claude-code`. Or copy the skill folder (lab-retro in glebis/claude-skills) into .claude/skills/lab-retro in your project. Claude Code loads it when a task matches its description.
How do I install Lab Retro in Codex?
Run `npx skills add glebis/claude-skills --skill lab-retro -a codex`. Or copy the skill folder (lab-retro in glebis/claude-skills) into .agents/skills/lab-retro in your project. Codex loads it when a task matches its description.
Can I use Lab Retro in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill lab-retro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lab-retro, .gemini/skills/lab-retro, .github/skills/lab-retro and .opencode/skills/lab-retro in your project.
What does Lab Retro need to run?
Going by SKILL.md and its folder, Lab Retro needs the command-line tools its instructions call (curl and jq).
Does Lab Retro access the network?
SKILL.md names 1 domain. In commands or code: lab-feedback-proxy.vercel.app; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Lab Retro safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Lab Retro use?
Lab Retro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lab Retro use?
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Lab Retro?
Skills that share tags, products or a category with Lab Retro: Weekly Engineering Retro (garrytan/gstack, 136k stars), Dough Execute Plan (terryyin/lizard, 2.6k stars), Oral Paper Skill (Adkid-Zephyr/oral-paper-skill, 350 stars) and Deck Retro (asheshgoplani/agent-deck, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lab Retro?
glebis (a GitHub user) maintains it in glebis/claude-skills, which has 390 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.
Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.