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Reflect Agent Skill

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.

6k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
255
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/michael-denyer/pstack-claude --skill reflect

What comes with it

18 801 bytes besides the instruction
references/divergent-reviewer.md
references/judgment-reviewer.md
references/synthesizer.md
references/tooling-reviewer.md
scripts/find-transcript.mjs

What it tells the agent to use

found in the instruction text
Task spawns other agents

The instruction itself

10 sections, as written by the author

Reflect

On Codex, read the platform mapping, including its per-skill notes, before following this skill.

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

When to invoke

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.

Process

1. Locate the active transcript

The parent finds its own transcript file before fanning out. The system prompt names Claude Code's per-project transcripts directory at ~/.claude/projects/<encoded-cwd>/; use that path. Do not glob across ~/.claude/projects/. That crosses workspace boundaries and reads private chats from unrelated projects.

Run the finder at skills/reflect/scripts/find-transcript.mjs under the installed plugin with the projects directory and a fragment of the conversation's opening user prompt:

node <plugin>/skills/reflect/scripts/find-transcript.mjs ~/.claude/projects/<encoded-cwd> "<opening prompt fragment>"

It covers the three layouts (flat <id>.jsonl, nested <id>/<id>.jsonl, subagent <parent>/subagents/<child>.jsonl), newest first, and prints the first path whose opening user record carries the fragment. Do not reimplement the scan by hand: the first line of a transcript is session metadata, not a message, and files run to several megabytes, so the finder streams each candidate and stops at its first user record. If it exits 1, 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. Reviewers need MCP access for context lookups (tickets, chat threads, observability traces referenced in the transcript); pick a subagent_type that retains MCP access. The prompt forbids file writes; the parent applies edits.

| Lens | model | Prompt template |

|---|---|---|

| Judgment | your configured reflect-judgment model (default in Models) | references/judgment-reviewer.md |

| Tooling | your configured reflect-tooling model (default in Models) | references/tooling-reviewer.md |

| Divergent | your configured reflect-judgment model (default in Models) | references/divergent-reviewer.md |

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

3. Synthesize

One Agent call, subagent_type: "general-purpose", using your configured reflect-judgment model (default in Models). Pick a subagent_type that retains MCP access — 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 the plugin-dev:skill-development 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 plugin-dev:skill-development and run its description-optimization loop.
  • new skill via plugin-dev:skill-development: <kebab-name>: hand creation to plugin-dev:skill-development. 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.

Models

Role defaults, stamped from plugins/pstack/models.json (edit there, rerun tools/generate.mjs). A matching role line in ~/.claude/pstack-models.md overrides each at runtime; see /setup-pstack.

  • reflect tooling: claude-opus-5
  • reflect judgment, divergent, synthesizer: claude-opus-5

How to use it

Copy the folder

Take michael-denyer/reflect from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.