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.
Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.
Install Skill Optimize
$ npx skills add digipulse-engineering/GAAI-framework --skill skill-optimize -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digipulse-engineering/GAAI-framework skill-optimize --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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/cross/skill-optimize .claude/skills/skill-optimize && 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 "skill-optimize" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimize into .claude/skills/skill-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimize", 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/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimizeType 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 digipulse-engineering/GAAI-framework --skill skill-optimize -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digipulse-engineering/GAAI-framework skill-optimize --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.gaai/core/skills/cross/skill-optimize .agents/skills/skill-optimize && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-optimize" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimize into .agents/skills/skill-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimize", 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 digipulse-engineering/GAAI-framework --skill skill-optimize -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digipulse-engineering/GAAI-framework skill-optimize --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.gaai/core/skills/cross/skill-optimize .cursor/skills/skill-optimize && 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 "skill-optimize" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimize into .cursor/skills/skill-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimize", 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/digipulse-engineering/GAAI-framework.git --path .gaai/core/skills/cross/skill-optimize--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 digipulse-engineering/GAAI-framework --skill skill-optimize -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digipulse-engineering/GAAI-framework skill-optimize --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.gaai/core/skills/cross/skill-optimize .gemini/skills/skill-optimize && 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 "skill-optimize" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimize into .gemini/skills/skill-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimize", 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 digipulse-engineering/GAAI-framework skill-optimizeInstalls 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 digipulse-engineering/GAAI-framework --skill skill-optimize -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/.gaai/core/skills/cross/skill-optimize .github/skills/skill-optimize && 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 "skill-optimize" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimize into .github/skills/skill-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimize", 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 digipulse-engineering/GAAI-framework --skill skill-optimize -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digipulse-engineering/GAAI-framework skill-optimize --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.gaai/core/skills/cross/skill-optimize .opencode/skills/skill-optimize && 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 "skill-optimize" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/skill-optimize into .opencode/skills/skill-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimize", 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
skill-optimize- GitHub stars
- 163
- Token cost
- ~2k tokens
- SKILL.md length
- 760 words
- Files
- 3 (incl. references)
- Skills in repo
- 55
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.
- Works in 7 steps: Eval authoring → Corpus generation → Baseline evaluation → …
- Tasks that involve Retrospectives
- SKILL.md covers Purpose / When to Activate, Process, Quality Checks and Outputs, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Optimize is an agent skill from digipulse-engineering/GAAI-framework. Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements. Activate when a skill needs baseline evaluation, after SKILL.md modifications, or when friction-retrospective flags a skill.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/anti-patterns.md` and `references/ledger-format.md`). Compatibility notes: Works with any filesystem-based AI coding agent
It sits in Product & Project Management, covering Retrospectives. The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…
When your agent uses it
- Tasks that involve Retrospectives
Example prompts
- “/skill-optimize”
Requirements
- Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Eval authoring
- Corpus generation
- Baseline evaluation
- Error analysis
- Improvement proposal
- Ledger update
- Trend detection
What it can do on your machine
Read from SKILL.md and the folder at commit a26ea7a. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.
Compatibility
Works with any filesystem-based AI coding agent
From compatibility in the SKILL.md frontmatter.
Context cost
Skill Optimize loads about 2k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 760 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 760 words (~1,960 tokens).
- name
- skill-optimize
- compatibility
- Works with any filesystem-based AI coding agent
- license
- ELv2
- metadata.author
- gaai-framework
- metadata.version
- 1.0
- metadata.category
- cross
- metadata.track
- cross-cutting
- metadata.id
- SKILL-CRS-026
- metadata.updated_at
- 2026-03-20
- metadata.status
- experimental
- outputs
- {skill-dir}/eval-corpus/evals.yaml (created if absent), {skill-dir}/eval-corpus/score-{iteration}.yaml — score report per iteration…
Files
SKILL.md and 2 other files (references) in .gaai/core/skills/cross/skill-optimize of digipulse-engineering/GAAI-framework.
- SKILL.md
- references/anti-patterns.md
- references/ledger-format.md
Open the folder on GitHubat commit a26ea7a
Compare with similar skills
Skill Optimize 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 |
|---|---|---|---|---|---|---|
| Skill Optimize this skilldigipulse-engineering/GAAI-framework | 163 | — | ~2k | Automated safety check: Pass | Custom licence | |
| 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 | |
| After Action Reportrampstackco/claude-skills | 935 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Oral Paper SkillAdkid-Zephyr/oral-paper-skill | 333 | — | ~1.9k | Automated safety check: Pass | None | |
| Deck Retroasheshgoplani/agent-deck | 1k | — | ~1.8k | Automated safety check: Pass | MIT |
Similar skills
Dough Execute Plan
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…
After Action Report
rampstackco/claude-skills
Run a structured after-action review (postmortem, retrospective) on a launch, incident, or completed project to capture timeline, root cause analysis, contributing factors, and actionable lessons.
Oral Paper Skill
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.
Deck Retro
asheshgoplani/agent-deck
Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs.
Dough Execution Retrospective
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.
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Related
Categories
Questions about Skill Optimize
What does Skill Optimize do?
Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements. Skill Optimize is an agent skill from digipulse-engineering/GAAI-framework. Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.
When should I use Skill Optimize?
Skill Optimize fits situations like: tasks that involve Retrospectives.
How do I install Skill Optimize in Claude Code?
Run `npx skills add digipulse-engineering/GAAI-framework --skill skill-optimize -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/skill-optimize in digipulse-engineering/GAAI-framework) into .claude/skills/skill-optimize in your project. Claude Code loads it when a task matches its description.
How do I install Skill Optimize in Codex?
Run `npx skills add digipulse-engineering/GAAI-framework --skill skill-optimize -a codex`. Or copy the skill folder (.gaai/core/skills/cross/skill-optimize in digipulse-engineering/GAAI-framework) into .agents/skills/skill-optimize in your project. Codex loads it when a task matches its description.
Can I use Skill Optimize 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 digipulse-engineering/GAAI-framework --skill skill-optimize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-optimize, .gemini/skills/skill-optimize, .github/skills/skill-optimize and .opencode/skills/skill-optimize in your project.
What does Skill Optimize need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Optimize is instructions for the agent only. Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent.
Does Skill Optimize access the network?
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.
Is Skill Optimize 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 Skill Optimize use?
Skill Optimize has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Skill Optimize use?
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.
What are the alternatives to Skill Optimize?
Skills that share tags, products or a category with Skill Optimize: Weekly Engineering Retro (garrytan/gstack, 136k stars), Dough Execute Plan (terryyin/lizard, 2.5k stars), After Action Report (rampstackco/claude-skills, 935 stars) and Oral Paper Skill (Adkid-Zephyr/oral-paper-skill, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Optimize?
digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on September 29, 2026.
Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.