version: "1.0.0" name: reflect description: 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. disable-model-invocation: true

Reflect

Mine the current conversation for durable learnings, then route them into skill edits.

When to invoke

Invoke when the user says "reflect" or "/skill: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 finds its own transcript file before fanning out. The system prompt names it on the Conversation log: line (a root session under ~/.prime/agent/sessions/, a child under its parent's session-artifacts/<parent>/sub-<id>/). Use that path. Do not glob across ~/.prime/agent/sessions/. That crosses workspace boundaries.

grep -l '"cwd":"'"$PWD"'"' ~/.prime/agent/sessions/*.jsonl | xargs ls -t 2>/dev/null | head -10

Two transcript layouts: root (~/.prime/agent/sessions/<id>.jsonl) and child (~/.prime/agent/session-artifacts/<parent-id>/sub-<short>/<id>.jsonl, the session_dir on the spawn handle).

For each candidate, read the first JSONL line and check that message.content[0].text contains the conversation's opening user prompt. Take the matching path. If no path resolves, write a tight digest of the session and pass that instead.

2. Spawn three reviewers in parallel

One ipython cell, three rlm.spawn children, explicit model= on each, full kernel access (children inherit MCP connections). Reviewers need MCP access for context lookups (tickets, chat threads, observability traces referenced in the transcript).

Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings with await agent_message.send(<findings>, receiver_role='parent').

3. Synthesize

One rlm.spawn child, using your configured reflect-judgment model (default anthropic/claude-opus-5), full kernel access (children inherit MCP connections). The synthesizer's quality check includes spot-verifying citations, which can require MCP access. Use references/synthesizer.md verbatim, with each reviewer's full output inlined where marked. The synthesizer returns a structured Accepted / Rejected / Backlog list.

4. Structural enforcement check

Sanity-check the synthesizer's Accepted list. For any item that would be enforced more reliably by a lint rule, script, metadata flag, or runtime check, move it from Accepted to Backlog. See the encode-lessons-in-structure principle skill.

5. Apply

Before applying any Accepted edit, present the synthesizer's full Accepted/Rejected/Backlog output to the user and wait for explicit approval. The user picks which subset to apply and may redirect routings. Skill changes affect every future agent in the org. Do not auto-apply.

Backlog items file to whatever devex / backlog tracker your team uses automatically. Only the Accepted list waits for approval.

For each approved Accepted item, follow the Routing field exactly:

• Trivial existing-skill edit (a one-line bullet, a tightened sentence, a stale fact corrected): parent does directly.
• Substantive existing-skill edit (a new section, a new pattern table, more than ~10 lines): hand to playbooks/authoring-a-skill.md skill and run its draft / test / iterate loop.
• tune description: <skill path> (the skill exists but didn't trigger when it should have): hand to playbooks/authoring-a-skill.md and run its description-optimization loop.
• new skill via authoring-a-skill: <kebab-name>: hand creation to playbooks/authoring-a-skill.md. Do not invent the shape ad hoc.

If your environment ships a SKILL.md validator, run it on every touched skill before declaring done. Skip this step if it doesn't.

6. Summarize for the user

Short list, no preamble:

• Edits applied: <skill path>. What changed, one line each.
• New skills created: <skill path>. One line each (rare).
• Backlog filed to the devex tracker: <issue title> (<tags>). One line each.
• Dropped: one line per rejected finding + reason from the synthesizer.