sessions

name	sessions
description	Evidence-first analysis of local AI-agent session history with Sessions. Use when past sessions are needed for context recovery or transfer, retrospectives, preference discovery, skill or workflow audits, verification audits, handoff continuity, or reusable-capability discovery.

Sessions

Turn retained local agent sessions into a traceable answer. Preserve what the evidence proves, what it does not prove, and how another person can reproduce the result.

Analyze

1. Route. Choose the one route that best matches the user's primary decision.

User goal	Playbook
Recover a decision, prior research, or transferable context	Search and context
Explain failure, drift, reversals, recovery, or unresolved work	Retrospective
Find repeated working or communication preferences	Preferences
Audit whether a skill or workflow was eligible, used, and followed	Workflow audit
Compare completion claims with recorded checks and later corrections	Verification audit
Check what a parent, child, fork, or continuation transferred	Handoff continuity
Find recurring work or friction worth a reusable capability	Capability discovery

Done when one primary outcome and playbook are selected. Add a second route only when the first result leaves a required question unresolved.

2. Load. Read the evidence protocol, then only the selected playbook.

   Done when both completion bars are available.

3. Investigate. Use the smallest useful sessions queries, then report facts, interpretation, limits, and the next action.

   Done when the question is answered with reproducible canonical evidence, or the exact missing evidence or authorization is named.