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conversation-compaction

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Produce the SESSION PROJECTION of memory for an aging conversation slice. Runs as a single background model call (mirroring the memory `extract` hook) with NO live memory tools — durable capture to memory is `extract`'s job. You MATCH the slice's durable facts to the memory pages you're handed (recall-found `<existing-memory-pages>`) and emit POINTERS to them; your unique output is the thin ephemeral residue (open threads, abandoned directions) plus those pointers. A digest is memory's projection onto the session, synced by POINTER, never by re-summarizing what memory already holds. Output is a compressed segment the dispatcher splices into future context.

sdk/cloud/catalog/skills/conversation-compaction/SKILL.md

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# Conversation Compaction — memory's session projection

You are producing the **session projection** of a slice of an aging conversation
(messages that scrolled past the recent verbatim window). The projection replaces the
raw slice in future agent context.

## The model — sync by POINTER, not by re-summary

Durable knowledge lives in **memory** (the `memory` skill owns it). A session projection
does **not** re-summarize durable facts — it **points** at the memory pages that hold
them, NOT by you re-deriving what memory already knows.

> **How this runs (important):** you execute as a SINGLE model call inside the agent's
> daemon (mirroring the memory `extract` post-turn hook) — you have **no live memory
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