Auto skill build memsearch codex memory

Skill Arnie016/codex-prompt-templates/skills/auto-skill-build-memsearch-codex-memory

Use memsearch as an on-demand semantic index for project markdown memory (search → expand → optional deep drill). Use when the user asks to recall past decisions, prior debugging, or “have we seen this before?” and a `.memsearch/memory/` store exists (or the user wants to set one up). Skip when the question is only about current code state (use Read/Grep) or when the user explicitly does not want semantic indexing / installs.From its SKILL.md

Install

npx -y skills add Arnie016/codex-prompt-templates --skill auto-skill-build-memsearch-codex-memory

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
runs commandsInstructs the agent to run 8 commands, including `PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || pwd)"` and 7 more.

SKILL.md

2.8 KB, 578 tokens by cl100k_base, as published. Nobody here has run it

memsearch + Codex memory recall (on-demand)

Generated by: Codex Supercharge maintenance automation.

This skill is for manual recall using the memsearch CLI. It does not install hooks or run upstream installers.

Reference notes: references/memsearch-codex-memory.md.

Preconditions

Prefer .memsearch/memory/ if it exists.
If there is no .memsearch/memory/, fall back to $agent-memory-ledger and rg across .codex-memory/.
If memsearch is not installed, stop and ask the user whether they want to install it. Do not run curl | sh installers.

Workflow

Confirm the memory store location:
- PROJECT_ROOT/.memsearch/memory/ (preferred)
- otherwise .codex-memory/ + rg fallback
Derive a stable project collection, then index memory when needed:

PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || pwd)"
COLLECTION="$(plugins/codex-supercharge/scripts/derive_memsearch_collection.sh "$PROJECT_ROOT")"
memsearch index "$PROJECT_ROOT/.memsearch/memory" --collection "$COLLECTION"

If indexing fails because the ONNX embedding model needs a first-run download, either:

temporarily allow network access, or
switch to a provider you already have configured (high-trust only).

Search for relevant chunks and expand the best hit:

memsearch search "<query>" --top-k 5 --json-output --collection "$COLLECTION"
memsearch expand <chunk_hash> --collection "$COLLECTION"

If expand fails, read the source file directly using the source and line-range fields from JSON output:

sed -n '<start_line>,<end_line>p' "<source>"

Return a curated summary:
- focus on decisions, constraints, prior fixes, and “why”
- cite the memory file/date (and heading if present)
- if nothing relevant: say so, and propose a tighter query

Skip when

The task is purely about the current repo state (prefer Read/Grep/tests).
The user asked to ignore memory or avoid semantic tools.
There is no .memsearch/memory/ and the user does not want to create one.

Validation

If memsearch exists: memsearch --version and a dry run search against a small collection.
Otherwise: ensure the fallback path uses $agent-memory-ledger + rg.
Validate the helper with plugins/codex-supercharge/scripts/derive_memsearch_collection.sh "$PWD".

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.