agentleFS
eryzerzeryzerz/prime-pstack/skills/reflect/SKILL.md

reflect

Skill0 starsChanged 3 months agoMITView on GitHub

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.

172 other projects use a version of this, 46 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use poteto-help, principle-explain-the-number and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ianclearySkill

    poteto-help

    Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.

    Also in 14 projects that use this

  • ianclearySkill

    principle-explain-the-number

    Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.

    Also in 26 projects that use this

  • jaydubya818Skill

    principle-attack-the-premise

    Apply when repeated fixes fail and a shared assumption may be wrong.

    Also in 30 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 163 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Before applying any Accepted edit, present the synthesizer's full Accepted/Rejected/Backlog output to the user and wait for explicit …

    line 55
  2. Very specific:

    If your environment ships a SKILL.md validator, run it on every touched skill before declaring done.

    line 66

“Common” is measured: kept by at least 6 in 10 of the 163 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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 parent finds its own session log before fanning out. The system prompt names the active session log under ~/.prime/agent/sessions/<session-id>.jsonl; use that path. Each rlm child returns a session_dir for its own rollouts. Do not glob across other sessions; that reads unrelated conversations.

ls -t ~/.prime/agent/sessions/*.jsonl 2>/dev/null | head -10

For each candidate, read the first JSONL line and check that message.content[0].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

Spawn three children with three await rlm(prompt, name='reflection-<lens>') calls in one turn; they run in parallel. Per-lens models come from references/models.md when a line is present; otherwise omit model and the child inherits the parent model. Children have MCP access if configured; there is no readonly mode to worry about. The prompt forbids file writes; the parent applies edits.

Lensmodel (default)Prompt template
Judgmentreferences/models.md line judgment: (default: inherit parent)references/judgment-reviewer.md
Toolingreferences/models.md line tooling: (default: inherit parent)references/tooling-reviewer.md
Divergentreferences/models.md line judgment: (default: inherit parent)references/divergent-reviewer.md

Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers reply with await agent_message.send(message, receiver_role='parent').

3. Synthesize

One await rlm(prompt, name='reflection-synthesizer') child, using the judgment: model line when present. The synthesizer's quality check includes spot-verifying citations, which can require MCP access; children keep MCP access when configured. Use references/synthesizer.md verbatim, with each reviewer's full output inlined where marked. The synthesizer replies with 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 skill-creator 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 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.

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.

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