31 lines
1.8 KiB
Markdown
31 lines
1.8 KiB
Markdown
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---
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description: Reflect on this session — extract durable memories and propose them for one-tap capture
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argument-hint: "[optional focus, e.g. 'just decisions']"
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---
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Use the **echo-memory** skill to run **session reflection** (H5). Scan this conversation for
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things worth remembering across sessions, then propose them — don't write blindly.
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1. **Extract** durable items from the conversation: new facts, preferences, decisions,
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commitments, people/companies/projects introduced, and anything Jason said to remember.
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Skip the ephemeral. Anchor relative dates on the conversation's `currentDate`.
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2. **Emit a JSON array** of proposals (one per item), each:
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`{"title","kind","body","aliases","sources","confidence"}` — `kind` ∈
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`person, company, concept, reference, meeting, project, area, semantic, episodic,
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working, skill, decision`; set `"inbox": true` when the home is genuinely unknown;
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`confidence` 0–1 (items below 0.6 are dropped — send those to the inbox instead).
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Write the array to a file with the Write tool (cross-platform; no heredoc).
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3. **Preview, then apply.** Dry-run first (writes nothing) and show Jason the plan; only
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apply after he confirms.
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```bash
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ECHO="${CLAUDE_PLUGIN_ROOT}/skills/echo-memory/scripts/echo.py" # python3 (Windows: python / py -3)
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python3 "$ECHO" reflect proposals.json # dry-run: validate + classify + preview
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python3 "$ECHO" reflect proposals.json --apply # write — routes each via capture (indexed, linked, logged)
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```
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`reflect` dedups every proposal against the entity index (so it shows create-vs-update),
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skips below-confidence items, and routes `inbox` proposals to the capture inbox. Each
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applied item goes through the normal `capture` path — canonical frontmatter, auto-linking,
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and the recall index — and the writes are lock-guarded. $ARGUMENTS
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