---
name: reflect
description: Spawn three parallel review subagents over the active transcript, list learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
disable-model-invocation: true
---

# Reflect

Extract durable learnings from the current conversation, then route them into skill edits.

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.

## 1. Locate the active transcript

Before fanning out, find this conversation's transcript in the `agent-transcripts/` directory the system prompt names. Do not glob across `~/.cursor/projects/*/`. That crosses workspace boundaries and reads private chats from unrelated projects.

```bash
ls -t <agent-transcripts>/*.jsonl <agent-transcripts>/*/*.jsonl <agent-transcripts>/*/subagents/*.jsonl 2>/dev/null | head -10
```

That covers the legacy flat (`<id>.jsonl`), current nested (`<id>/<id>.jsonl`), and subagent (`<parent>/subagents/<child>.jsonl`) layouts. For each candidate, read the first JSONL line. Take the file whose `message.content[0].text` contains the conversation's opening user prompt. If none matches, pass a tight digest of the session instead.

## 2. Spawn three reviewers in parallel

Send one message with three `Task` calls, each with `subagent_type: generalPurpose` and agent mode (`readonly: false`). Reviewers need MCP access to look up the tickets, chat threads, and observability traces the transcript references, and readonly strips MCPs.

Each reviewer and the synthesizer name a role line in the `mstack-models.mdc` rule and a default. Set `model` to that line's value, or to the default if the rule or the line is missing. Leave `model` unset when the value is `auto` or `inherit-parent`. If the Task tool rejects a slug, use the default and say so. If it rejects the default, use the closest valid slug of the same family from its error message.

| Lens | Role line | Default `model` | Prompt template |
|---|---|---|---|
| Judgment | `reflect judgment, divergent, synthesizer` | `claude-opus-5-5-xhigh` | `references/judgment-reviewer.md` |
| Tooling | `reflect tooling` | `claude-sonnet-5-5-high` | `references/tooling-reviewer.md` |
| Divergent | `reflect judgment, divergent, synthesizer` | `claude-opus-5-5-xhigh` | `references/divergent-reviewer.md` |

Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in the `Task` response body.

## 3. Synthesize

Make one `Task` call with `subagent_type: generalPurpose`, `model` from the `reflect judgment, divergent, synthesizer` line (default `claude-opus-5-5-xhigh`), and agent mode (`readonly: false`). It spot-verifies citations through MCP, and readonly strips MCPs. Pass `references/synthesizer.md` verbatim, with each reviewer's full output inlined where marked. It returns an Accepted / Rejected / Backlog list.

## 4. Structural enforcement check

Move any Accepted item that a lint rule, script, metadata flag, or runtime check would enforce more reliably to Backlog. See the **encode-lessons-in-structure** principle skill.

## 5. Apply

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

A learning about a technique, a hardware fact, or a method that is not a skill edit may go to the `kb` resource instead, when it is set. Propose it only when it passes the `kb` resource's own rules for what belongs there, which its index file states. That means the learning holds without this machine, ticket, or chat, and it cites a public source. Read that index file first. When `kb` is not set, skip the `kb.capture` skill function, write `skipped kb: not set`, and ask once per session whether the user has a knowledge base. Ticket records (lever doc, `STATUS.md`, numbers, shapes) stay in the ticket folder. Propose the learning as an extra Accepted row routed to the `kb.capture` skill function (`../ateam-mode/references/skill-functions.md`), with the transcript path as the source. Run the capture only after approval. The Autonomy pause on customer or NDA text still applies on top of the capture skill's own leak check.

File each Backlog item to your team's devex or backlog tracker without waiting. Only the Accepted list waits for approval.

Follow each approved row's Routing exactly:

- Trivial existing-skill edit (a one-line bullet, a tightened sentence, a stale fact corrected): the parent does it directly.
- Substantive existing-skill edit (a new section, a new pattern table, more than ~10 lines): hand to Cursor's built-in `create-skill` 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 `create-skill` and run its description-optimization loop.
- `new skill via create-skill: <kebab-name>`: hand creation to `create-skill`. Do not invent the shape ad hoc.

If your environment ships a SKILL.md validator, run it on every touched skill before declaring done.

## 6. Summarize for the user

Write a short list with 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, with the reason from the synthesizer.