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memory-ci-capture

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`.

来源信息

仓库
basicmachines-co/basic-memory
最近来源活动
2026年10月12日 00:36
检测到的 SKILL.md 语言
英语
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SKILL.md
来源说明 · 只读预览
name
memory-ci-capture
description
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`.
metadata
{"internal":true}
# 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: ```json { "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.
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