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.
Install
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add michael-denyer/pstack-claude --skill reflect -a cursor -y
Download plugins/pstack/skills/reflect/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does reflect live?
The publisher keeps it at https://github.com/michael-denyer/pstack-claude.
Which agents can use reflect?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
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.
name: reflect
description: 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.
Reflect
On Codex, read the platform mapping, including its per-skill notes, before following this skill.
On GitHub Copilot, 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.
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 Claude Code's per-project transcripts directory at ~/.claude/projects/<encoded-cwd>/. 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:
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 typed prompt carries the fragment. Do not reimplement the scan by hand: the first line of a transcript is session metadata, not a message, a session that starts with /clear or a ! shell command records that command's wrapper and output as user records before the prompt, and files run to several megabytes, so the finder streams each candidate and stops at its first typed user record. If it exits 1, write a tight digest of the session and pass that instead. It lists, one line each in turn order, the user's prompts and corrections, the tool calls and their results, and the files touched. It states no diagnosis, verdict, or cause. The reviewers judge the session, not your conclusions about it.
2. Spawn three reviewers in parallel
One message, three Agent calls, subagent_type: "general-purpose". Reviewers need MCP access to look up the tickets, chat threads, and observability traces the transcript references, so pick a subagent_type that retains MCP access. The prompt forbids file writes. The parent applies edits.
Each reviewer and the synthesizer name a role line in pstack-models.md and a default in Models. Set model to that line's value, or to the default if the sheet or the line is missing. Leave model unset when the value is auto or inherit-parent. If the Agent 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. Pick each subagent's reasoning level for the job, per the Subagents section of the poteto-mode skill.
Lens
Role line
Prompt template
Judgment
reflect judgment, divergent, synthesizer
references/judgment-reviewer.md
Tooling
reflect tooling
references/tooling-reviewer.md
Divergent
reflect judgment, divergent, synthesizer
references/divergent-reviewer.md
Pass each template verbatim, substituting the transcript path or digest where marked. Add nothing beside a transcript path, not even a focus note for a long transcript. Reviewers return findings in the Agent response body.
3. Synthesize
One Agent call, subagent_type: "general-purpose", model from the reflect judgment, divergent, synthesizer line (default in Models). It spot-verifies citations through MCP, so pick a subagent_type that retains MCP access. 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.
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 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.
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 the pstack-models.md override sheet overrides each at runtime; /setup-pstack writes it and lists its path per runtime.
reflect tooling: opus
reflect judgment, divergent, synthesizer: opus
Reasoning effort
A role value in the override sheet may name a reasoning effort after its model, as in opus @xhigh. Levels on Claude Code: low, medium, high, xhigh, max. Which ones apply depends on the model. A value without @ takes the sheet's default effort line, a level or session, and session when the sheet has no such line. session sets no effort, so the dispatch is the usual one. Strip the suffix before reading the model: inherit-parent or auto still omits model at every level, and a model name is passed as model. On Claude Code, a level picks the effort agent from the subagent_type you would otherwise use. pstack:poteto-agent becomes subagent_type: "pstack:poteto-agent-<level>". general-purpose, or no subagent_type, becomes subagent_type: "pstack:effort-<level>". The effort agents set only effort, so the model you pass still decides the model. On Codex, pass the level as spawn_agent's reasoning_effort and keep the usual instructions.
How do I install reflect?
Download plugins/pstack/skills/reflect/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does reflect live?
The publisher keeps it at https://github.com/michael-denyer/pstack-claude.
Which agents can use reflect?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.