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Reflect

ASecurity

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.

3 stars
0 votes
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Added 9/19/2026
ai-agentsbashgit

Works with

mcp

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add adjohn/pstack --skill reflect --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
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.
disable-model-invocation: true
---

# Reflect

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. Transcripts live at `~/.claude/projects/<slug>/`, one `.jsonl` per session with one JSON message per line, where `<slug>` is the absolute working directory, symlinks resolved, with every character that is not a letter or digit, including `/`, `.`, and `_`, replaced by `-`, so `/Users/you/proj` becomes `-Users-you-proj`. Derive the directory from the current working directory. Do not glob across `~/.claude/projects/*/`. That crosses workspace boundaries and reads private chats from unrelated projects.

```bash
ls -t ~/.claude/projects/<slug>/*.jsonl 2>/dev/null | head -10
```

One flat `<session-uuid>.jsonl` per session; every line is one JSON message.

For each candidate, read the first JSONL lines and check that the earliest user message's 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 `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). Subagents inherit MCP tools by default.

| Lens | `model` | Prompt template |
|---|---|---|
| Judgment | your configured reflect-judgment model (default `fable`) | `references/judgment-reviewer.md` |
| Tooling | your configured reflect-tooling model (default `sonnet`) | `references/tooling-reviewer.md` |
| Divergent | your configured reflect-judgment model (default `fable`) | `references/divergent-reviewer.md` |

Configured values come from `~/.claude/pstack-models.md` when present; otherwise use the inline defaults. 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 `fable`). The synthesizer's quality check includes spot-verifying citations, which can require MCP access. Subagents inherit MCP tools by default. 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 `skill-creator` skill if installed (from anthropics/skills) and run its draft / test / iterate loop; otherwise the parent drafts the section directly.
- `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, or tune the description directly if it isn't installed.
- `new skill via skill-creator: <kebab-name>`: hand creation to `skill-creator` if installed; otherwise author the SKILL.md directly. 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.

Attribution

adjohnadjohn
View sourceMore from adjohn →
SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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