reflect
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.
What this skill does
# Reflect Mine the current conversation for durable learnings, then route them into skill edits. ## When to invoke - The user said "reflect" or "/reflect". - A complex task (5+ tool calls) just landed cleanly and the recipe is worth keeping. - The agent hit dead ends, found the working path, and the path generalizes. - The user corrected the agent's approach mid-task. - A non-trivial workflow emerged that isn't captured anywhere. 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 the active workspace's `agent-transcripts/` directory; use that path. 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 ``` Three transcript layouts: legacy flat (`<id>.jsonl`), current nested (`<id>/<id>.jsonl`), and subagent (`<parent>/subagents/<child>.jsonl`). 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 message, three `Task` calls, `subagent_type: generalPurpose`, explicit `model:` on each, agent mode (`readonly: false`). Reviewers need MCP access for context lookups (tickets, chat threads, observability traces referenced in the transcript); readonly strips MCPs. The prompt forbids file writes; the parent applies edits. | Lens | `model` | Prompt template | |---|---|---| | Judgment | your configured reflect-judgment model (default `claude-opus-4-8-thinking-xhigh`) | `references/judgment-reviewer.md` | | Tooling | your configured reflect-tooling model (default `composer-2.5-fast`) | `references/tooling-reviewer.md` | | Divergent | your configured reflect-judgment model (default `claude-opus-4-8-thinking-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 One `Task` call, `subagent_type: generalPurpose`, using your configured reflect-judgment model (default `claude-opus-4-8-thinking-xhigh`), agent mode (`readonly: false`). The synthesizer's quality check includes spot-verifying citations, which can require MCP access; readonly strips MCPs. 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. The synthesizer already applies this criterion; this is a final pass before edits land. 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. Those are tracker submissions, not skill edits. 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 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. 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.
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