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fix(ce-compound, ce-compound-refresh): use injected memory block (#569)

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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Trevin Chow
2026-04-15 17:41:51 -07:00
committed by GitHub
parent d18e28eb57
commit 0b3d4b283c
2 changed files with 6 additions and 6 deletions
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8
plugins/compound-engineering/skills/ce-compound/SKILL.md
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@@ -69,10 +69,10 @@ Phase 1 subagents return TEXT DATA to the orchestrator. They must NOT use Write,
### Phase 0.5: Auto Memory Scan
Before launching Phase 1 subagents, check the auto memory directory for notes relevant to the problem being documented.
Before launching Phase 1 subagents, check the auto-memory block injected into your system prompt for notes relevant to the problem being documented.
1. Read MEMORY.md from the auto memory directory (the path is known from the system prompt context)
2. If the directory or MEMORY.md does not exist, is empty, or is unreadable, skip this step and proceed to Phase 1 unchanged
1. Look for a block labeled "user's auto-memory" (Claude Code only) already present in your system prompt context — MEMORY.md's entries are inlined there
2. If the block is absent, empty, or this is a non-Claude-Code platform, skip this step and proceed to Phase 1 unchanged
3. Scan the entries for anything related to the problem being documented -- use semantic judgment, not keyword matching
4. If relevant entries are found, prepare a labeled excerpt block:
@@ -337,7 +337,7 @@ This mode skips parallel subagents entirely. The orchestrator performs all work
The orchestrator (main conversation) performs ALL of the following in one sequential pass:
1. **Extract from conversation**: Identify the problem and solution from conversation history. Also read MEMORY.md from the auto memory directory if it exists -- use any relevant notes as supplementary context alongside conversation history. Tag any memory-sourced content incorporated into the final doc with "(auto memory [claude])"
1. **Extract from conversation**: Identify the problem and solution from conversation history. Also scan the "user's auto-memory" block injected into your system prompt, if present (Claude Code only) -- use any relevant notes as supplementary context alongside conversation history. Tag any memory-sourced content incorporated into the final doc with "(auto memory [claude])"
2. **Classify**: Read `references/schema.yaml` and `references/yaml-schema.md`, then determine track (bug vs knowledge), category, and filename
3. **Write minimal doc**: Create `docs/solutions/[category]/[filename].md` using the appropriate track template from `assets/resolution-template.md`, with:
- YAML frontmatter with track-appropriate fields