← ClaudeAtlas

reflectlisted

Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
3metaJun/mstack · ★ 0 · Code & Development · score 72
Install: claude install-skill 3metaJun/mstack
# Reflect Mine the current conversation for durable learnings, then route them into skill edits. ## When to invoke Invoke when the user says "reflect" or "/reflect". Skip when the conversation is trivial, off-topic, or already covered by an existing skill the parent followed correctly. One-offs are not learnings. ## Process ### 1. Locate the active transcript The parent identifies the active session before fanning out. Prefer the conversation already in context or a transcript path supplied by the host. When lookup is necessary, use [recall's history sources](../recall/references/history-sources.md) with the active workspace and known session ID. Match the opening user prompt within the selected conversation, not at a fixed JSONL line or field shared across harnesses. Keep warnings and truncation limits with the excerpts. If recall is not installed or the active session has no readable persisted record, write a tight digest of the current conversation and pass that instead. Do not search other project stores to compensate for a missing active session. ### 2. Spawn three reviewers in parallel One delegation request with three reviewers, an explicit model on each, and agent mode with the access needed for context lookups (tickets, chat threads, and observability traces referenced in the transcript). Reviewers need the active Harness's connected tools. | Lens | `model` | Prompt template | |---|---|---| | Judgment | the active mstack `reviewer` role, default `inherit-pa