GitLearn

GitLearn — Retroactive Git Commit Learning

Extract durable LTM memories from past git commits by delegating the read-and-extract work to the dedicated git-learner agent (shipped with this plugin). The agent reads the diffs and stores memories via the learn MCP tool, so this path needs no API key and keeps the main thread's context clean (raw diffs stay in the agent).

Scope

Argument or request	Commits processed
(none)	last 10
--commits N	last N
--since YYYY-MM-DD	all commits since that date

When to Use

• Onboarding a new project into LTM — seed memories from existing commit history.
• Backfilling history after enabling gitLearnEnabled for the first time.
• Harvesting reusable patterns after a productive sprint.

How It Works

The background post-commit hook (GitCommit.ts) calls an LLM API directly and needs a configured key. This skill runs interactively instead, so it spawns the git-learner agent via the Agent tool. Spawning an agent is valid here because skills execute in the live Claude Code session, which has the Agent tool available. The agent carries its own extraction rubric (signal-to-noise rules, category mapping, storage fields), so this skill only has to supply the scope.

Instructions for Claude

Step 1 — Resolve scope

Determine the commit range from the arguments or the user's wording (default: last 10). Capture the repo root so the subagent runs git in the right directory:

git rev-parse --show-toplevel
git log --pretty=format:'%H %s' -<N>   # or --since="<date>"

Step 2 — Spawn the git-learner agent once

Call the Agent tool once with subagent_type: "openltm:git-learner" (plugin agents are namespaced by plugin name). A single agent processes the whole batch — do not spawn one per commit. The agent's system prompt already holds the extraction rubric, so the spawn prompt only supplies a <scope> block:

<scope>
REPO_ROOT: <repo root from git rev-parse --show-toplevel>
PROJECT_NAME: <repo directory basename>
COMMITS:
<one commit hash per line, from Step 1>
</scope>

Pass nothing else — no rubric, no instructions. The agent knows what to keep, what to skip, how to map categories, and which fields to store.

Step 3 — Report

Relay the subagent's table and total. Memories are tagged git-commit:<hash> and anchored to the changed files (so later commits flag them stale), queryable via mcp__plugin_openltm_memory__recall. Tool names and categories: the Ltm skill (../Ltm/SKILL.md).

Memory Integration

• Before: mcp__plugin_openltm_memory__recall query="git commit patterns" — check what's already stored, so the subagent reinforces rather than duplicates.
• After: confirm new rows with a recall scoped to the project.