Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Load only the minimum relevant memory for a task using 3-level progressive disclosure.
$ npx skills add digipulse-engineering/GAAI-framework --skill memory-retrieve -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digipulse-engineering/GAAI-framework memory-retrieve --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/memory-retrieve .claude/skills/memory-retrieve && 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 "memory-retrieve" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-retrieve into .claude/skills/memory-retrieve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-retrieve", 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/memory-retrieveType 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 memory-retrieve -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digipulse-engineering/GAAI-framework memory-retrieve --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/memory-retrieve .agents/skills/memory-retrieve && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-retrieve" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-retrieve into .agents/skills/memory-retrieve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-retrieve", 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 memory-retrieve -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digipulse-engineering/GAAI-framework memory-retrieve --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/memory-retrieve .cursor/skills/memory-retrieve && 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 "memory-retrieve" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-retrieve into .cursor/skills/memory-retrieve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-retrieve", 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/memory-retrieve--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 memory-retrieve -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digipulse-engineering/GAAI-framework memory-retrieve --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/memory-retrieve .gemini/skills/memory-retrieve && 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 "memory-retrieve" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-retrieve into .gemini/skills/memory-retrieve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-retrieve", 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 memory-retrieveInstalls 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 memory-retrieve -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/memory-retrieve .github/skills/memory-retrieve && 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 "memory-retrieve" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-retrieve into .github/skills/memory-retrieve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-retrieve", 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 memory-retrieve -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 memory-retrieve --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/memory-retrieve .opencode/skills/memory-retrieve && 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 "memory-retrieve" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/memory-retrieve into .opencode/skills/memory-retrieve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-retrieve", 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.
memory-retrieveLoad only the minimum relevant memory for a task using 3-level progressive disclosure.
Memory Retrieve is an agent skill from digipulse-engineering/GAAI-framework. Load only the minimum relevant memory for a task using 3-level progressive disclosure. Activate before context-building — never load full memory dumps. Never substitute summaries for durable memory.
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. Compatibility notes: Works with any filesystem-based AI coding agent
It sits in Development. It works with Git. 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…
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a26ea7a. 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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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.
Works with any filesystem-based AI coding agent
From compatibility in the SKILL.md frontmatter.
Memory Retrieve loads about 1.6k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 611 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 611 words (~1,584 tokens).
“Activate before context-building whenever a task requires historical context.”
Just SKILL.md in .gaai/core/skills/cross/memory-retrieve of digipulse-engineering/GAAI-framework.
Open the folder on GitHubat commit a26ea7a
Memory Retrieve 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 |
|---|---|---|---|---|---|---|
| Memory Retrieve this skilldigipulse-engineering/GAAI-framework | 163 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Codebase Knowledge Graph Q&AEgonex-AI/Understand-Anything | 85k | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 85k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Egonex-AI/Understand-Anything
Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file.
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
Egonex-AI/Understand-Anything
Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.
Egonex-AI/Understand-Anything
Gives an in-depth explanation of one file, function or module by reading the project's knowledge graph and checking that the graph is still fresh.
digipulse-engineering/GAAI-framework
Evaluate any output file against a structured evals.yaml assertions file and produce a score report with per-assertion pass/fail results.
digipulse-engineering/GAAI-framework
Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates.
digipulse-engineering/GAAI-framework
Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.
digipulse-engineering/GAAI-framework
Orchestrator-level Stage 4 entry gate for /gaai:bootstrap. An agent skill from digipulse-engineering/GAAI-framework.
digipulse-engineering/GAAI-framework
Guide creation of a new GAAI skill following the agentskills.io spec and GAAI best practices.
digipulse-engineering/GAAI-framework
Transform vague or high-level human intent into a governed Discovery action plan.
Works with
Categories
Load only the minimum relevant memory for a task using 3-level progressive disclosure. Memory Retrieve is an agent skill from digipulse-engineering/GAAI-framework. Load only the minimum relevant memory for a task using 3-level progressive disclosure.
Memory Retrieve fits situations like: development work in your project.
Run `npx skills add digipulse-engineering/GAAI-framework --skill memory-retrieve -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/memory-retrieve in digipulse-engineering/GAAI-framework) into .claude/skills/memory-retrieve in your project. Claude Code loads it when a task matches its description.
Run `npx skills add digipulse-engineering/GAAI-framework --skill memory-retrieve -a codex`. Or copy the skill folder (.gaai/core/skills/cross/memory-retrieve in digipulse-engineering/GAAI-framework) into .agents/skills/memory-retrieve 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 digipulse-engineering/GAAI-framework --skill memory-retrieve -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-retrieve, .gemini/skills/memory-retrieve, .github/skills/memory-retrieve and .opencode/skills/memory-retrieve in your project.
Going by SKILL.md and its folder, Memory Retrieve needs the command-line tools its instructions call (git). Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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.
Memory Retrieve has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Memory Retrieve: Finishing a Development Branch (obra/superpowers, 296k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Codebase Knowledge Graph Q&A (Egonex-AI/Understand-Anything, 85k stars) and Code Design Rationale Investigator (cursor/plugins, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.