1.8 KiB
1.8 KiB
description, argument-hint
| description | argument-hint |
|---|---|
| Reflect on this session — extract durable memories and propose them for one-tap capture | [optional focus, e.g. 'just decisions'] |
Use the echo-memory skill to run session reflection (H5). Scan this conversation for things worth remembering across sessions, then propose them — don't write blindly.
- Extract durable items from the conversation: new facts, preferences, decisions,
commitments, people/companies/projects introduced, and anything Jason said to remember.
Skip the ephemeral. Anchor relative dates on the conversation's
currentDate. - Emit a JSON array of proposals (one per item), each:
{"title","kind","body","aliases","sources","confidence"}—kind∈person, company, concept, reference, meeting, project, area, semantic, episodic, working, skill, decision; set"inbox": truewhen the home is genuinely unknown;confidence0–1 (items below 0.6 are dropped — send those to the inbox instead). Write the array to a file with the Write tool (cross-platform; no heredoc). - Preview, then apply. Dry-run first (writes nothing) and show Jason the plan; only apply after he confirms.
ECHO="${CLAUDE_PLUGIN_ROOT}/skills/echo-memory/scripts/echo.py" # python3 (Windows: python / py -3)
python3 "$ECHO" reflect proposals.json # dry-run: validate + classify + preview
python3 "$ECHO" reflect proposals.json --apply # write — routes each via capture (indexed, linked, logged)
reflect dedups every proposal against the entity index (so it shows create-vs-update),
skips below-confidence items, and routes inbox proposals to the capture inbox. Each
applied item goes through the normal capture path — canonical frontmatter, auto-linking,
and the recall index — and the writes are lock-guarded. $ARGUMENTS