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.
Structured post-goal reflection that extracts lessons, evaluates quality, and feeds the self-improvement loop
$ npx skills add Ckokoski/AuthorAgent --skill after-action-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Ckokoski/AuthorAgent after-action-review --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/Ckokoski/AuthorAgent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/core/after-action-review .claude/skills/after-action-review && 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 "after-action-review" agent skill from https://github.com/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-review into .claude/skills/after-action-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "after-action-review", 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/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-reviewType 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 Ckokoski/AuthorAgent --skill after-action-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Ckokoski/AuthorAgent after-action-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ckokoski/AuthorAgent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/core/after-action-review .agents/skills/after-action-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "after-action-review" agent skill from https://github.com/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-review into .agents/skills/after-action-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "after-action-review", 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 Ckokoski/AuthorAgent --skill after-action-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Ckokoski/AuthorAgent after-action-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ckokoski/AuthorAgent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/core/after-action-review .cursor/skills/after-action-review && 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 "after-action-review" agent skill from https://github.com/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-review into .cursor/skills/after-action-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "after-action-review", 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/Ckokoski/AuthorAgent.git --path skills/core/after-action-review--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 Ckokoski/AuthorAgent --skill after-action-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Ckokoski/AuthorAgent after-action-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ckokoski/AuthorAgent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/core/after-action-review .gemini/skills/after-action-review && 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 "after-action-review" agent skill from https://github.com/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-review into .gemini/skills/after-action-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "after-action-review", 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 Ckokoski/AuthorAgent after-action-reviewInstalls 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 Ckokoski/AuthorAgent --skill after-action-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Ckokoski/AuthorAgent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/core/after-action-review .github/skills/after-action-review && 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 "after-action-review" agent skill from https://github.com/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-review into .github/skills/after-action-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "after-action-review", 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 Ckokoski/AuthorAgent --skill after-action-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Ckokoski/AuthorAgent after-action-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ckokoski/AuthorAgent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/core/after-action-review .opencode/skills/after-action-review && 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 "after-action-review" agent skill from https://github.com/Ckokoski/AuthorAgent/tree/main/skills/core/after-action-review into .opencode/skills/after-action-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "after-action-review", 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.
after-action-reviewStructured post-goal reflection that extracts lessons, evaluates quality, and feeds the self-improvement loop
After Action Review is an agent skill from Ckokoski/AuthorAgent. Structured post-goal reflection that extracts lessons, evaluates quality, and feeds the self-improvement loop
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Product & Project Management, covering Retrospectives. The repository describes itself as: The Autonomous AI Writing Agent — a secure, author-focused AI for fiction and nonfiction authors (Planning, Revision, Promotion, and more). The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 47e9570. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From 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.
After Action Review loads about 1.6k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 338 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 Ckokoski/AuthorAgent at commit 47e9570, republished under its MIT licence (© Ckokoski). 338 words, ~1,627 tokens.
.claude/skills/after-action-review/SKILL.md (or your agent's skills folder).A structured reflection process that runs after every completed goal. Extracts concrete lessons, evaluates output quality, identifies what worked and what didn't, and feeds everything into the self-improvement loop.
Collect all relevant data about the completed goal:
Rate the overall output on 5 dimensions:
After-Action Review: "Plan my time travel novel"
═══════════════════════════════════════════════════
Quality Assessment:
┌─────────────────────────────────┬───────┐
│ Completeness │ 9/10 │
│ Did we accomplish the goal? │ │
├─────────────────────────────────┼───────┤
│ Quality │ 7/10 │
│ How good was the output? │ │
├─────────────────────────────────┼───────┤
│ Efficiency │ 6/10 │
│ Did we use resources well? │ │
├─────────────────────────────────┼───────┤
│ User Satisfaction │ ?/10 │
│ (Awaiting user rating) │ │
├─────────────────────────────────┼───────┤
│ Reusability │ 8/10 │
│ Can this approach work again? │ │
└─────────────────────────────────┴───────┘
Overall Score: 7.5/10Identify and document successes:
✅ WHAT WENT WELL
─────────────────
1. Dynamic AI planning produced a coherent 7-step plan
→ The AI planner correctly identified this as a "planning" goal
→ Steps were logically ordered (premise → characters → world → outline)
2. Gemini handled planning steps efficiently at zero cost
→ All 4 planning steps used free-tier Gemini
→ Quality was sufficient for brainstorming/outlining
3. Character profiles were detailed and interconnected
→ AI naturally created relationships between characters
→ Motivations tied directly to the central conflict
4. User accepted the outline without major revisions
→ Strong signal that the structure was soundIdentify failures, inefficiencies, and areas for growth:
⚠️ WHAT NEEDS IMPROVEMENT
──────────────────────────
1. World-building step was too generic
→ Setting description lacked sensory specificity
→ Lesson: Add "include 3+ sensory details per location" to world-building prompts
2. Step 5 (review) was redundant with step 4 (outline)
→ Could have been combined into a single step
→ Lesson: For planning goals, combine review into the outline step
3. Total execution time: 8 minutes for 7 steps
→ Steps 2 and 3 could have run in parallel
→ Lesson: Character and world-building don't depend on each other — parallelize
4. Cost: $0.00 (all Gemini free tier)
→ Good for planning, but creative writing would need a better model
→ Lesson: Use Gemini for planning, switch to Claude/DeepSeek for proseConvert observations into structured lessons for the improvement log:
[
{
"category": "worldbuild",
"lesson": "Always include 3+ sensory details (sight, sound, smell, touch, taste) per location description",
"confidence": 0.75,
"source": "after_action_review"
},
{
"category": "task_execution",
"lesson": "For planning goals, character profiles and world-building can run in parallel (no dependency)",
"confidence": 0.8,
"source": "after_action_review"
},
{
"category": "task_execution",
"lesson": "Combine 'review and refine' into the preceding step for planning goals to reduce redundancy",
"confidence": 0.7,
"source": "after_action_review"
},
{
"category": "task_execution",
"lesson": "Use Gemini free tier for planning/outlining tasks. Reserve Claude/DeepSeek for creative prose.",
"confidence": 0.85,
"source": "after_action_review"
}
]Ask the user for their assessment:
📋 Goal Complete: "Plan my time travel novel"
I've completed my self-review. Quick questions:
1. Overall, how would you rate the output? (1-10)
2. What specifically did you like most?
3. What would you change for next time?
(Or just say "looks good" and I'll note that as positive feedback!)Reviews are saved to workspace/memory/reviews/:
workspace/memory/reviews/
├── 2026-02-24-plan-time-travel-novel.md
├── 2026-02-24-research-medieval-weapons.md
└── 2026-02-25-write-chapter-1.mdEach review file contains the full structured assessment in Markdown format, readable by both humans and the AI.
Over time, reviews accumulate into patterns:
review performance this weekShows:
The After-Action Review feeds directly into the self-improvement loop:
improvement-log.jsonlafter action review — Run a review on the most recently completed goalreview goal [id] — Review a specific goalreview performance — Aggregate performance metricswhat went well — Quick summary of recent successeswhat went wrong — Quick summary of recent failuresrate last goal [1-10] — Provide a user rating for the last goal© Ckokoski, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/core/after-action-review of Ckokoski/AuthorAgent.
Open the folder on GitHubat commit 47e9570
After Action Review 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 |
|---|---|---|---|---|---|---|
| After Action Review this skillCkokoski/AuthorAgent | 124 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Weekly Engineering Retrogarrytan/gstack | 136k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Dough Execute Planterryyin/lizard | 2.5k | — | ~4.3k | Automated safety check: Pass | Custom licence | |
| Oral Paper SkillAdkid-Zephyr/oral-paper-skill | 357 | — | ~1.9k | Automated safety check: Pass | None | |
| Deck Retroasheshgoplani/agent-deck | 1.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Dough Execution Retrospectiveterryyin/lizard | 2.5k | — | ~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。
Ckokoski/AuthorAgent
Find and analyze comparable titles for query letters, marketing, and positioning strategy
Ckokoski/AuthorAgent
Scan manuscript for inconsistencies in characters, timeline, settings, and names
Ckokoski/AuthorAgent
Advanced 47-marker voice analysis engine — analyzes your writing to build a comprehensive Voice Profile for AuthorClaw
Ckokoski/AuthorAgent
Transform raw speech-to-text dictation into polished prose while preserving the author's natural voice
Ckokoski/AuthorAgent
Intelligent error diagnosis, automatic recovery strategies, and prevention of recurring failures
Ckokoski/AuthorAgent
Analyze and rewrite first chapters for maximum reader retention using genre-specific hook patterns
Categories
Structured post-goal reflection that extracts lessons, evaluates quality, and feeds the self-improvement loop. After Action Review is an agent skill from Ckokoski/AuthorAgent.
After Action Review fits situations like: tasks that involve Retrospectives.
Run `npx skills add Ckokoski/AuthorAgent --skill after-action-review -a claude-code`. Or copy the skill folder (skills/core/after-action-review in Ckokoski/AuthorAgent) into .claude/skills/after-action-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Ckokoski/AuthorAgent --skill after-action-review -a codex`. Or copy the skill folder (skills/core/after-action-review in Ckokoski/AuthorAgent) into .agents/skills/after-action-review 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 Ckokoski/AuthorAgent --skill after-action-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/after-action-review, .gemini/skills/after-action-review, .github/skills/after-action-review and .opencode/skills/after-action-review in your project.
SKILL.md names no scripts, command-line tools or credentials: After Action Review is instructions for the agent only.
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.
After Action Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.5k 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 After Action Review: Weekly Engineering Retro (garrytan/gstack, 136k stars), Dough Execute Plan (terryyin/lizard, 2.5k stars), Oral Paper Skill (Adkid-Zephyr/oral-paper-skill, 357 stars) and Deck Retro (asheshgoplani/agent-deck, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Ckokoski (a GitHub user) maintains it in Ckokoski/AuthorAgent, which has 124 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 11, 2026.
Source: Ckokoski/AuthorAgent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.