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.
Interactive post-session retrospective that captures learnings, updates skills, and saves memories.
$ npx skills add glebis/claude-skills --skill retrospective -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install glebis/claude-skills retrospective --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/retrospective .claude/skills/retrospective && 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 "retrospective" agent skill from https://github.com/glebis/claude-skills/tree/main/retrospective into .claude/skills/retrospective/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retrospective", 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/retrospectiveType 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 retrospective -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install glebis/claude-skills retrospective --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/retrospective .agents/skills/retrospective && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "retrospective" agent skill from https://github.com/glebis/claude-skills/tree/main/retrospective into .agents/skills/retrospective/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retrospective", 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 retrospective -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install glebis/claude-skills retrospective --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/retrospective .cursor/skills/retrospective && 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 "retrospective" agent skill from https://github.com/glebis/claude-skills/tree/main/retrospective into .cursor/skills/retrospective/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retrospective", 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 retrospective--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 retrospective -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install glebis/claude-skills retrospective --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/retrospective .gemini/skills/retrospective && 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 "retrospective" agent skill from https://github.com/glebis/claude-skills/tree/main/retrospective into .gemini/skills/retrospective/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retrospective", 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 retrospectiveInstalls 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 retrospective -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/retrospective .github/skills/retrospective && 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 "retrospective" agent skill from https://github.com/glebis/claude-skills/tree/main/retrospective into .github/skills/retrospective/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retrospective", 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 retrospective -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 retrospective --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/retrospective .opencode/skills/retrospective && 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 "retrospective" agent skill from https://github.com/glebis/claude-skills/tree/main/retrospective into .opencode/skills/retrospective/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retrospective", 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.
retrospectiveInteractive post-session retrospective that captures learnings, updates skills, and saves memories.
Retrospective is an agent skill from glebis/claude-skills. Interactive post-session retrospective that captures learnings, updates skills, and saves memories. Use when the user says "/retrospective", "let's do a retro", "what did we learn", "session review", "retro", or "wrap up". Also use at the end of long productive sessions when significant patterns or corrections emerged. Supports multi-session mode — by default processes all of today's sessions across projects.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files (for example `.claude-plugin/plugin.json`, `retro_engine.py` and `scenarios/01_productive_long.yaml`).
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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3b88261. It shows what the files ask for, not the result of running them.
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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Retrospective loads about 2.3k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 1,058 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.
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.
The full file from glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 1,058 words, ~2,252 tokens.
.claude/skills/retrospective/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.Interactive post-session retro. Scans sessions, asks focused questions, proposes concrete actions the user approves in one step.
Scans the current conversation only. This is the original behavior.
Scans all sessions from a given day (default: today) across all projects. Extracts user corrections, skill failures, and patterns from JSONL transcripts.
Trigger: /retrospective at the start of a fresh session, or /retrospective today, or /retrospective 2026-05-24.
# Find today's sessions (default)
find ~/.claude/projects -maxdepth 2 -name "*.jsonl" -not -path "*/subagents/*" -mtime 0
# Or for a specific date, filter by file modification date
find ~/.claude/projects -maxdepth 2 -name "*.jsonl" -not -path "*/subagents/*" -newermt "YYYY-MM-DD" ! -newermt "YYYY-MM-DD + 1 day"For each JSONL file found, extract a summary:
projects/, decoded from the path-encoding)user and assistant messages (type user and assistant)message.content (may be string or array of {type: "text", text: "..."})message.content array where type == "text"Show the user what was found:
Found N sessions today:
- project-name-1 (session-id[:8]) — "first user message preview..."
- project-name-2 (session-id[:8]) — "first user message preview..."Then continue to Step 1a with the combined findings from all sessions. Each candidate action should note which session it came from (project name + short ID).
Scan the conversation and estimate session depth. Look for tool calls (Read, Edit, Write, Bash, Skill invocations), errors encountered, and back-and-forth exchanges. Don't try to count exactly — judge by feel:
Silently scan the conversation and collect:
Then read existing state:
glob ~/.claude/projects/*/memory/MEMORY.md and read it plus relevant memory files~/.claude/skills/{name}/skill.md)test -f ~/.claude/skills/linear/scripts/linear && echo "configured" || echo "not configured"Generate up to 5 candidate actions, ranked by signal strength:
Dedup rules:
Present everything in a single AskUserQuestion call (up to 4 questions):
| # | Question | Type |
|---|---|---|
| 1 | "Quick session check?" | Single select: Productive / Mixed / Rough / Skip retro |
| 2 | "What felt slow or broken?" | Free text via Other (optional) |
| 3 | "Anything to carry forward as a rule?" | Free text via Other (optional) |
| 4 | "Which of these should I save?" | Multi-select: generated candidates with descriptions. Always include a "Nothing / skip all" option. |
If Q1 = "Skip retro" → exit immediately.
If Q1 = "Rough" and Q2/Q3 are empty → exit with "Nothing to save — session closed." Don't add another question after the user already signaled they're done.
Single AskUserQuestion call with one question:
If "Nothing" → exit. If free text → save as memory, exit.
For each approved item from Q4 (plus any insights from Q2/Q3 free text):
Action types and their targets:
| Type | Target | Tool |
|---|---|---|
| Skill update | ~/.claude/skills/{name}/skill.md | Edit |
| Memory (feedback) | Current project's memory/feedback_*.md + MEMORY.md | Write |
| Memory (project) | Current project's memory/project_*.md + MEMORY.md | Write |
| CLAUDE.md rule | ~/.claude/CLAUDE.md or project CLAUDE.md | Edit |
| Linear task | ~/.claude/skills/linear/scripts/linear issue create --title "..." --description "..." | Bash |
One-line per action taken:
Updated telegram skill — added chat type mismatch note
Saved memory — Qwen /api/chat not /api/generate
Skipped: pdf-generation update (already documented)Done. No trailing commentary.
Session transcripts are stored as JSONL files at ~/.claude/projects/{project-path}/{session-id}.jsonl.
Each line is a JSON object with a type field. Relevant types:
user — user message. Content at message.content (string or array of {type: "text", text: "..."})assistant — Claude's response. Content at message.content (array of content blocks; extract where type == "text")ai-title — auto-generated session titleTo extract a readable transcript from a JSONL file, use a Python one-liner or read the file and filter for user/assistant types.
Project name decoding: The directory name uses the absolute path with slashes replaced by dashes, e.g., -Users-glebkalinin-ai-projects-foo → ~/ai_projects/foo.
When /retrospective is invoked:
/retrospective invocation) → multi-session mode (scan today's sessions)Each candidate in Q4 must have a description showing the exact proposed content, not just a title. The user judges candidates by reading descriptions, not by opening files.
Good: "Add to telegram skill: get_chat_type() misclassifies private chats as channels — use Telethon client.send_message() directly for DMs"
Bad: "Update telegram skill with DM fix"
This skill only captures session learnings. It does not review code quality, analyze PRs, create documentation, or run tests. For those, use the appropriate dedicated skills.
Engine logic is tested in retro_engine.py with 9 scenario fixtures and 30 pytest tests.
Run: cd ~/.claude/skills/retrospective && python3 -m pytest test_retro_engine.py -v
© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 12 other files in retrospective of glebis/claude-skills.
Open the folder on GitHubat commit 3b88261
Retrospective 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 |
|---|---|---|---|---|---|---|
| Retrospective this skillglebis/claude-skills | 390 | — | ~2.3k | 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 |
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.
terryyin/lizard
Executes one selected story or bounded retrospective correction through an executable plan, or one authorized planless slice from a selected simple story or a contextual instruction, with…
Adkid-Zephyr/oral-paper-skill
Help authors learn from exemplary ICLR, ICML, and NeurIPS papers through source-linked manuscript comparisons, concrete writing and experiment suggestions, and guided reflection.
asheshgoplani/agent-deck
Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs.
terryyin/lizard
Reviews planned, completed planless quick, or quick-to-planned execution against original intent, aggregate commits, current whole-product architecture, and tests, including after cleanup.
HughYau/qiushi-skill
批评与自我批评:在工作完成、阶段验收、收到批评或同类错误反复出现时,对成果和过程做诚实、具体、基于事实的审视,输出可执行的改进项,并处理外来批评而不辩解。触发信号包括 review、复盘、审查、"帮我看看有没有问题"、"你确定吗";任务刚开始或只是单步查询时不触发。
glebis/claude-skills
Runs a human-first workflow for labeling PII spans in a transcript, then scores inter-annotator agreement and drafts an adjudicated gold set.
glebis/claude-skills
Automates a dedicated, logged-in Chrome instance per profile without ever closing the user's own open tabs or browser windows.
glebis/claude-skills
This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API.
glebis/claude-skills
This skill should be used for elimination-style research where the user wants to choose from a shortlist of products, tools, services, vendors, or other options using explicit criteria, numeric…
glebis/claude-skills
Generates a self-contained HTML presentation with article and slides modes, ElevenLabs voiceover narration and optional GPT Image 2 illustrations.
glebis/claude-skills
Writes fictional but realistic coaching or therapy session transcripts for evals, demos and few-shot examples, in several modalities and export formats.
Categories
Interactive post-session retrospective that captures learnings, updates skills, and saves memories. Retrospective is an agent skill from glebis/claude-skills. Interactive post-session retrospective that captures learnings, updates skills, and saves memories.
Retrospective fits situations like: the user says /retrospective; lets do a retro; what did we learn.
Run `npx skills add glebis/claude-skills --skill retrospective -a claude-code`. Or copy the skill folder (retrospective in glebis/claude-skills) into .claude/skills/retrospective in your project. Claude Code loads it when a task matches its description.
Run `npx skills add glebis/claude-skills --skill retrospective -a codex`. Or copy the skill folder (retrospective in glebis/claude-skills) into .agents/skills/retrospective in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill retrospective -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/retrospective, .gemini/skills/retrospective, .github/skills/retrospective and .opencode/skills/retrospective in your project.
Going by SKILL.md and its folder, Retrospective needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Retrospective is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Retrospective: 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.
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.