Home / yeaight7 / agent-powerups · plugins/memory-optimization/skills/memory-build-workflow/SKILL.md · GitHub

memory-build-workflow skillA

memory-build-workflow is agent-read markdown (skill) from yeaight7/agent-powerups: Use when a user needs to build or refresh persistent graph memory from a mixed corpus and the right path may include graphify, incremental update, or helper conversion before ingestion..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Memory Build Workflow

## Overview

Build persistent graph memory with `graphify`.

Use helper tools only when source format would otherwise reduce graph quality or waste context.

## When to Use

- first graph build for a repo, notes folder, research corpus, or mixed raw folder
- corpus changed enough that persistent graph memory is worth refreshing
- input includes PDFs, Office docs, or noisy web pages that should be normalized before graph build
- user wants durable graph outputs instead of one-shot file reading

Do not use for:
- one small plain-text file or a narrow one-off question
- cases where an existing graph already answers the question better via query

## Required Checks

```powershell
apx check graphify
apx check markitdown-file-intake
apx check defuddle
```

Stop and report missing tools. Do not auto-install without approval.

## Routing

| Situation | Action |
|---|---|
| ready local corpus of readable files | run `graphify` |
| existing graph plus changed sources | run `graphify --update` |
| PDF, Office doc, slide deck, or similar hard-to-read format | convert with `markitdown-file-intake`, then build with `graphify` |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add yeaight7/agent-powerups/memory-build-workflow@git:20260606.19c883c
Exact content
mdr add yeaight7/agent-powerups/memory-build-workflow@sha256:b9e3997e1af23e17

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_26izve3n4f7ukrwl.svg)](https://markdownregistry.com/a/art_26izve3n4f7ukrwl)

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Versions

versioncommittedcommitsizeaudit
git:20260606.19c883c latest2026-06-06 19c883c 3,083 BA view · diff
git:20260509.1e4ed992026-05-09 1e4ed99 2,675 BA view · diff
git:20260509.7a653422026-05-09 7a65342 1,139 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3083 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yeaight7/agent-powerups · 6 stars · license Apache-2.0 · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_26izve3n4f7ukrwl
GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/memory-build-workflow
GET https://markdownregistry.com/api/v1/blob/b9e3997e1af23e178276a4b1764143e9d5812523401312d2cfcb023de7a5684f

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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