Load only the minimum relevant memory for a task using 3-level progressive disclosure.

Custom licenceAuto-check passedDevelopment

Install Memory Retrieve

skills CLI
$ npx skills add digipulse-engineering/GAAI-framework --skill memory-retrieve -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install digipulse-engineering/GAAI-framework memory-retrieve --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
memory-retrieve
GitHub stars
163
Token cost
~1.6k tokens
SKILL.md length
611 words
Files
1
Skills in repo
55
Repo updated
First seen
Licence
Custom licence

At a glance

Load only the minimum relevant memory for a task using 3-level progressive disclosure.

  • Works in 6 steps: Read memory index… → Identify relevant decisions for the… → Load memory by durability class → …
  • Development work in your project
  • SKILL.md covers Purpose / When to Activate, 3-Level Progressive Disclosure, Process and Output, plus 2 more sections
  • Calls git

What it does

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…

When your agent uses it

  • Development work in your project

Example prompts

  • “/memory-retrieve”

Requirements

  • Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Read memory index (contexts/memory/index.md). This contains
  2. Identify relevant decisions for the current task
  3. Load memory by durability class
  4. For Decision Consistency Gate
  5. Freshness Check (Tier 2 files only)
  6. Return memory_context_bundle — curated, minimal set of memory files relevant to the current task, plus any freshness_warnings produced in…

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

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    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.

  • 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

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.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 611 words (~1,584 tokens).

“Activate before context-building whenever a task requires historical context.”

— opening of SKILL.md by digipulse-engineering, Custom licence
name
memory-retrieve
compatibility
Works with any filesystem-based AI coding agent
license
ELv2
metadata.author
gaai-framework
metadata.version
2.2
metadata.category
cross
metadata.track
cross-cutting
metadata.id
SKILL-MEMORY-RETRIEVE-001
metadata.updated_at
2026-04-05
metadata.status
stable
inputs
contexts/memory/index.md (registry — always read first, contains Decision Registry + file map), contexts/memory/** (any category registered in index.md…
outputs
memory_context_bundle

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .gaai/core/skills/cross/memory-retrieve of digipulse-engineering/GAAI-framework.

Open the folder on GitHubat commit a26ea7a

Compare with similar skills

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.

Memory Retrieve compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory Retrieve this skilldigipulse-engineering/GAAI-framework163—~1.6kAutomated safety check: PassCustom licence
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Codebase Knowledge Graph Q&AEgonex-AI/Understand-Anything85k1 repos~1.2kAutomated safety check: PassMIT
Code Design Rationale Investigatorcursor/plugins10k9 repos~2.6kAutomated safety check: PassNone
Understand Diff AnalysisEgonex-AI/Understand-Anything85k1 repos~1.4kAutomated safety check: PassMIT

Similar skills

  • 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.

    296k GitHub starsUsed in 5 repos~1.9k tokens
    DevelopmentAuto-check passed
  • Code Review Checklist

    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.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Codebase Knowledge Graph Q&A

    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.

    85k GitHub starsUsed in 1 repo~1.2k tokens
    DevelopmentAuto-check passed
  • Official

    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.

    10k GitHub starsUsed in 9 repos~2.6k tokens
    DevelopmentAuto-check passed
  • Understand Diff Analysis

    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.

    85k GitHub starsUsed in 1 repo~1.4k tokens
    DevelopmentAuto-check passed
  • Understand Explain

    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.

    85k GitHub starsUsed in 1 repo~1.3k tokens
    DevelopmentAuto-check passed

More from digipulse-engineering/GAAI-framework

All 55 skills in this repo
  • Eval Run

    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.

    163 GitHub stars~1.7k tokensUpdated 8 days ago
    Auto-check passed
  • Pattern Transfer

    digipulse-engineering/GAAI-framework

    Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates.

    163 GitHub stars~2.3k tokensUpdated 8 days ago
    Auto-check passed
  • Skill Optimize

    digipulse-engineering/GAAI-framework

    Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.

    163 GitHub stars~2k tokensUpdated 8 days ago
    Auto-check passed
  • Abort Safe Handler

    digipulse-engineering/GAAI-framework

    Orchestrator-level Stage 4 entry gate for /gaai:bootstrap. An agent skill from digipulse-engineering/GAAI-framework.

    163 GitHub stars~2.6k tokensUpdated 8 days ago
    Auto-check passed
  • Create Skill

    digipulse-engineering/GAAI-framework

    Guide creation of a new GAAI skill following the agentskills.io spec and GAAI best practices.

    163 GitHub stars~1.7k tokensUpdated 8 days ago
    Auto-check passed
  • Discovery High Level Plan

    digipulse-engineering/GAAI-framework

    Transform vague or high-level human intent into a governed Discovery action plan.

    163 GitHub stars~570 tokensUpdated 8 days ago
    Auto-check passed

Works with

Categories

Questions about Memory Retrieve

What does Memory Retrieve do?

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.

When should I use Memory Retrieve?

Memory Retrieve fits situations like: development work in your project.

How do I install Memory Retrieve in Claude Code?

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.

How do I install Memory Retrieve in Codex?

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.

Can I use Memory Retrieve 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 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.

What does Memory Retrieve need to run?

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.

Does Memory Retrieve access the network?

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.

Is Memory Retrieve 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 Memory Retrieve use?

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.

How many tokens does Memory Retrieve use?

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.

What are the alternatives to Memory Retrieve?

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.

Who maintains Memory Retrieve?

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.