reflect
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
Skill by kkgogogo17
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kkgogogo17-reflect
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About
Use cases: writing
Reviews
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What's inside
- Skill 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.
- License
- MIT
- Instructions
- 65 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- divergent-reviewer.md · references/
- judgment-reviewer.md · references/
- synthesizer.md · references/
- tooling-reviewer.md · references/
SKILL.md (first lines)
# 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 active transcript is `$PI_SESSION_FILE`. Use it directly when present. To choose an earlier transcript for this working directory, call `pstack_sessions` with `action: "list"` and read only a returned path. Never glob Pi's global session directory. If no session file resolves, write a tight digest of the current session and pass that instead. ### 2. Spawn three reviewers in parallel One parallel `subagent` call with three tasks, each using `agent: "poteto-agent"`, `role: "reflect judgment, divergent, synthesizer"`, and a prompt that forbids file writes. Reviewers may use MCPs available to their Pi child process for cited context lookups. The parent applies edits. | Lens | `model` | Prompt template | |---|---|---| | Judgment | your configured reflect-judgment model (default `inherit-parent`) | `references/judgment-reviewer.md` | | Tooling | your configured reflect-tooling model (default `inherit-parent`) | `references/tooling-reviewer.md` | | Divergent | your configured reflect-judgment model (default `inherit-parent`) | `references/divergent-reviewer.md` | Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in the `subagent` result. ### 3. Synthesize One `subagent` call using `agent: "poteto-agent"` and `role: "reflect judgment, divergent, synthesizer"`. The synthesizer may use MCPs available to its Pi child process to spot-check citations. 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 Pi Agent Skills standard and run its draft / test / iterate loop. - `tune description: <skill path>` (the skill exists but didn't trigger when it should have): hand to the Pi Agent Skills standard and run its description-optimization loop. - `new skill via Pi skill authoring: <kebab-name>`: hand creation to the Pi Agent Skills standard. 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.
From kkgogogo17/pi-pstack, MIT.
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Signals
- Stars
- 10
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Aug 8, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/kkgogogo17/pi-pstack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
reflect skill. Agent Mart. https://agentmart.dev/skills/kkgogogo17-reflect (last updated 2026-10-24)