memory-index SKILL.md skillA

memory-index from dimetron/pi-go is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add dimetron/pi-go/memory-index@git:20260711.9fd5e7f

Pins git:20260711.9fd5e7f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
dimetron/pi-go
Path
internal/extension/bundled_skills/memory-index/SKILL.md
Versions recorded
2
Latest version
git:20260711.9fd5e7f, committed Jul 11, 2026
First version recorded
Jul 11, 2026
Size
5,959 bytes
Repository stars
214
License
MIT

Index a folder's contents into the MemPalace semantic memory for search and retrieval. Use this skill whenever the user asks to "index a folder", "index a directory", "index memory", "mine a project into memory", "make a folder searchable", "embed a folder", "ingest code into the palace", or "index this directory for semantic search". Covers the full flow: model download, mempalace.yaml room configuration, mining, and verification via search. Also trigger when the user says "memory index…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Index a Folder into MemPalace

This skill walks through indexing a folder's source code into pi-go's MemPalace —
the 4-layer semantic memory system with SQLite storage and embedding-based search.

Once indexed, the agent can search the folder's contents by meaning, not just keywords,
using the `palace-search` tool or `pi memory search` CLI.

## Prerequisites

The embedding model (`all-MiniLM-L6-v2`) must be downloaded. Check with:

```bash
pi memory model status
```

If not downloaded:

```bash
pi memory model download
```

This fetches ~90 MB of ONNX model files to `~/.pi-go/models/`. It auto-selects the
optimal ONNX variant for the platform (quantized ARM64 on Apple Silicon, base on x86_64).

> The model is optional. Without it, search falls back to FTS5 keyword matching.
> Semantic search requires the model; keyword search works without it.

## Workflow

### 1. Verify the model is ready

```bash
pi memory model status
```

Output should show `Model: all-MiniLM-L6-v2` with a path and size. If it says
`Model: not downloaded`, run `pi memory model download` first.

### 2. Configure rooms (optional but recommended)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add dimetron/pi-go/memory-index@sha256:63fff3d541afd6a8

The line at the top of this page pins the label git:20260711.9fd5e7f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_aqur45yk6ybumtx6.svg)](https://markdownregistry.com/a/art_aqur45yk6ybumtx6)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Jul 11, 2026.

versioncommittedcommitsizeaudit
git:20260711.9fd5e7f latest2026-07-11 9fd5e7f 5,959 BA view · diff
git:20260711.599a14e2026-07-11 599a14e 5,592 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (5959 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

dimetron/pi-go · 214 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_aqur45yk6ybumtx6
GET https://markdownregistry.com/api/v1/resolve?ref=dimetron/pi-go/memory-index
GET https://markdownregistry.com/api/v1/blob/63fff3d541afd6a86a9543c5ad6d0b258b2a606366e1724d3a25ae50aa3536b5

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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