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.
76
95%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
Mine the current conversation for durable learnings, then route them into skill edits.
Skip when the conversation is trivial, off-topic, or already covered by an existing skill the parent followed correctly. One-offs are not learnings.
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 -10Two 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.
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.
| Lens | model | Prompt template |
|---|---|---|
| Judgment | your configured reflect-judgment model (default opus) | references/judgment-reviewer.md |
| Tooling | your configured reflect-tooling model (default sonnet) | references/tooling-reviewer.md |
| Divergent | your 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.
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.
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.
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:
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.
Short list, no preamble:
<skill path>. What changed, one line each.<skill path>. One line each (rare).<issue title> (<tags>). One line each.adamsardo/pstack-claude
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.