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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.

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SKILL.md
Quality
Evals
Security

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 active transcript is ~/.claude/projects/<project>/${CLAUDE_SESSION_ID}.jsonl, where <project> is the working directory's absolute path with every non-alphanumeric character replaced by -. Use only that project directory. Do not glob across ~/.claude/projects/*/. That crosses project boundaries and reads private chats from unrelated projects.

ls -t ~/.claude/projects/<project>/*.jsonl ~/.claude/projects/<project>/*/subagents/*.jsonl 2>/dev/null | head -10

Two transcript layouts: the session (<session-id>.jsonl) and its subagents (<session-id>/subagents/agent-<id>.jsonl).

Prefer the ${CLAUDE_SESSION_ID} path. If it doesn't exist, search the candidates for the conversation's opening user prompt (grep -l) and take the match. If no path resolves (for example in Cowork or claude.ai, where transcripts aren't on disk), write a tight digest of the session and pass that instead.

2. Spawn three reviewers in parallel

One message, three Agent calls, subagent_type: general-purpose, explicit model on each. Not pstack:readonly-agent: reviewers need MCP access for context lookups (tickets, chat threads, observability traces referenced in the transcript), and its allowlist strips MCPs. The prompt forbids file writes; the parent applies edits.

LensmodelPrompt template
Judgmentyour configured reflect-judgment model (default opus)references/judgment-reviewer.md
Toolingyour configured reflect-tooling model (default sonnet)references/tooling-reviewer.md
Divergentyour configured reflect-judgment model (default opus)references/divergent-reviewer.md

Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in the Agent result.

3. Synthesize

One Agent call, subagent_type: general-purpose, using your configured reflect-judgment model (default opus). The synthesizer's quality check includes spot-verifying citations, which can require MCP access; pstack:readonly-agent 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 the skill-creator skill and run its draft / test / iterate loop. Without it installed, follow the poteto-mode playbooks/authoring-a-skill.md playbook.
  • tune description: <skill path> (the skill exists but didn't trigger when it should have): hand to skill-creator and run its description-optimization loop.
  • new skill via skill-creator: <kebab-name>: hand creation to skill-creator. Do not invent the shape ad hoc.

Run claude plugin validate <dir> on every touched plugin or skills directory before declaring done. Skip this step outside Claude Code.

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.
Repository

adamsardo/pstack-claude

Path

plugins/pstack/skills/reflect/SKILL.md

Last updated
First committed

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