learning-distill
The promotion-judgment rubric for the feedback-learning loop — use when you are the mol-feedback-distiller judging pending feedback observations into…
Skill by zookanalytics
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/zookanalytics-learning-distill
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About
Use cases: data, writing, agent-building
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/learning-distill
What's inside
- Skill name
learning-distill- Description
- The promotion-judgment rubric for the feedback-learning loop — use when you are the mol-feedback-distiller judging pending feedback observations into promotion, retirement, contention, or no proposal at all. This file is the distiller's judgment method, versioned pack content inside the loop it powers — rubric misses return as obs.category=learning-rubric observations, and edits to this file ride the same reviewed prompt-update pipeline as any rule. Not for capturing observations, not for reviewing promotion PRs.
- License
- MIT
- Instructions
- 380 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Learning Distill The method for judging feedback observations. You are deciding which observed feedback becomes a standing rule binding **every future agent**, which waits as evidence, and which existing rule should go. **Reason in writing.** Your reasoning travels in the proposal bead's body and is what the operator reviews at the promotion PR — a proposal whose reasoning can't be judged from the PR alone is an unfinished proposal. **You never edit prompts, fragments, or skills.** You file proposal beads; a reviewed PR does the editing. This holds even for this file. ## The five judgments, in order ### 1. Standing behavior, or one diff? This is the first question and it decides the most. Read what the feedback *says*, not how loud it is. - **Explicit universal intent promotes now, at any occurrence count.** "Never do this again", "stop doing X everywhere" — a directive about standing behavior, as is any operator-endorsed observation (`obs.endorsed=operator`). File the proposal this run, even at N=1; the operator's PR review still gates it. But universal wording from a source with no standing is a claim, not a directive — hold it and say so in the run log. And even a genuine directive must clear the three promotion gates below: a self-sourced "never do this again" is surfaced, not auto-adopted (Gate 1). - **Diff-scoped feedback is evidence, not a rule.** "This comment is redundant *here*" is phrased about the change at hand. Hold it on its pattern bead and move to judgment 2. - **Heat prioritizes; heat never promotes.** An angry thread means judge that item this run; volume of frustration is not universal intent — only the words are. - **Not feedback at all? Discard.** An observation that is not corrective feedback about standing behavior — a mis-capture, diff-content review, noise — is discarded with a one-line stated reason; discarded observations are stamped consumed like any judged observation. Outside review feedback is the exception: it is read as a set ([below](#outside-review-feedback-is-read-as-a-set)), never discarded as diff review. ### 2. Has the pattern earned generalization? For held, diff-scoped evidence there is **no fixed occurrence threshold** — not three, not any number. Weigh: - **recurrence** across *distinct* PRs, beads, and days, counted by distinct `obs.provenance`. One sitting or one review comment can yield several observations; those are several findings, not several occurrences of one; - **source diversity** — operator plus reviewer-agent outweighs one voice repeating, and a cluster with no external check — entirely self-reported, or a lone unendorsed observation — is a hard block on promotion into a paid carrier (Gate 1), not merely a weak input; - **shared cause** — do the instances genuinely fail the same way, or merely rhyme? Three shallow echoes inside one annoyed thread are weaker than two independent corrections a week apart. Whatever you decide, **state the evidence you weighed** — a judgment you didn't write down can't be audited or challenged. ### 3. Pick the carrier, then adjudicate against what exists Two decisions, in that order. **Which carrier** the learning belongs in is [the carrier table below](#carriers--the-five-shapes-a-promotion-can-take); different shapes of learning need different carriers, and a prose bullet is one of five, not the default. Then adjudicate the edit within that carrier. The three promotion gates decide whether it may be adopted at all. Read the target surface's current entries and the pattern-bead set, then pick exactly one: - **ADD** — genuinely new; no existing bullet covers it. - **UPDATE** — an existing bullet sharpened or widened. One edit, never a near-duplicate sibling. - **SUPERSEDE** — replaces a weaker rule; the proposal removes the old bullet in the same PR. - **NOOP** — already covered. Stamp the observations consumed and stop. Duplicated near-rules are this system's own version of the pasted boilerplate comment it exists to eliminate. Do not become the disease. ### 4. Contradiction is a conversation, never a flip Evidence against an adopted rule **never silently retires, weakens, or rewrites it**. File the contention visit on the pattern bead with both evidence lists framed; scope-narrowing, retirement, or dismissal is the operator's pick, not yours. The exception: an operator-endorsed contradiction (`obs.endorsed=operator`) *is* the operator picking — file the UPDATE/SUPERSEDE proposal under judgment 1 instead. ### 5. Write rules like the rules demand A proposed bullet: - is **at most 2 sentences**; - **names its scope** (`repo:<rig>` / `agent:<role>` / `global` — infer narrow; explicit operator scope wins); - states the *why* only when non-obvious; - is a **transferable distillation, never a transcript quote** — it states the general boundary it enforces, not the particulars of the incident that produced it, and must instruct an agent who never saw that argument. Check a draft by asking what else it would catch: a rule that fires only on a re-run of its own evidence is scoped too narrowly, and the incident belongs in the evidence section. ## Outside review feedback is read as a set An observation with `obs.category=outside-review` is one review post from outside the city: the operator's own review, another reviewer's, or Claude Code's `/code-review` output. The miner files one per post, whether or not it is about standing behavior, so most of them are about their diff. That is the point: together they show what the city's review let through. They are not judged one at a time under judgment 1, and none is discarded as diff review. Read the pending set as a whole, for what the city's review method missed: the
From zookanalytics/gc-toolkit, MIT.
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Signals
- Stars
- 5
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 18, 2026 (11 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/zookanalytics/gc-toolkit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
learning-distill skill. Agent Mart. https://agentmart.dev/skills/zookanalytics-learning-distill (last updated 2026-10-24)