Skills

Memory Ci Capture

Internal CI skill: synthesize GitHub delivery context into a Basic Memory project update.

Install

npx skills add basicmachines-co/basic-memory --skill memory-ci-capture -g -a claude-code -y
Category
Git and review
Updated
3d ago
License
AGPL-3.0
Context cost
Lightabout 456 tokens
Runs scripts
No, instructions only

What it does

Internal CI skill: synthesize GitHub delivery context into a Basic Memory project update. Use after `bm ci collect`; return only AgentSynthesis JSON for `bm ci publish`.

Memory CI Capture

Turn a meaningful GitHub delivery moment into project memory. GitHub records the mechanics. Basic Memory remembers what changed and why.

Inputs

Read the ProjectUpdateContext JSON produced by bm ci collect at .github/basic-memory/project-update-context.json. Treat it as the immutable source of truth for repository, event type, PR number, workflow run, SHA, source URL, timestamps, and deployment environment.

Do not invent tests, deploy checks, linked issues, product impact, or decisions. If evidence is absent, say so briefly in verification or leave the field empty.

Output

Return only JSON matching the AgentSynthesis shape:

{
  "summary": "What changed.",
  "why_it_matters": "Why this update matters for future humans and agents.",
  "user_facing_changes": [],
  "internal_changes": [],
  "verification": [],
  "follow_ups": [],
  "decision_candidates": [],
  "task_candidates": []
}

Synthesis Rules

  • Prefer a short explanation over a commit-by-commit changelog.
  • Preserve intent, changed behavior, source links, verification evidence present in the context, and concrete follow-ups.
  • Put explicit product or architecture decisions in decision_candidates only when the source context clearly contains them.
  • Put future work in task_candidates only when it is concrete enough to act on.
  • Keep the tone factual and useful. This is project memory, not marketing copy.

Event Guidance

For merged pull requests, focus on why the PR existed, what area changed, what issues it advanced or closed, and what verification evidence appears in the context.

For production deploys, focus on what reached production, the deployed SHA, environment, workflow run, and verification evidence. Do not overclaim success beyond the workflow and source facts.

More in Git and review