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Operationalize Agent Skill

Distill repeated, evidence-backed expertise into a proposed skill, check, reference, or workflow artifact. Triggers: "operationalize this", "turn this expertise into a reusable capability".

918 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
416
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/boshu2/agentops --skill operationalize

The instruction itself

5 sections, as written by the author

Operationalize

Turn repeated, cited expertise into a proposal for a reusable artifact.

  • Require cited evidence for the expertise: real occurrences or an explicit

authoritative source, subject to the three-instance floor below when the

proposal abstracts a rule.

  • State the triggering situation, desired behavior, inputs, outputs, negative

examples, and evidence.

  • Choose the smallest fitting shape: reference, skill, deterministic check, or

caller-owned workflow.

  • Search existing capabilities and prefer extension over duplication.
  • Provide an activation example, holdout/negative example, owner, and rollback

or deletion condition.

  • Return the proposal inline to the caller or an authoring specialist. When

the caller asks for a durable artifact, write it under

.agents/scratch/operationalize/ first and return the path; the proposal

is advisory either way.

Three-instance floor

A rule needs three real occurrences before it may be abstracted. Count only

occurrences that actually happened and can be cited — sessions, diffs,

verdicts, or artifacts that resolve in this repository — not hypothetical

cases or restatements of one event. With one or two occurrences, propose a

quote-anchored reference note instead and stop short of a rule. An explicit

authoritative source may substitute for occurrences only when the proposal

transcribes that source rather than generalizing beyond it. The named failure

mode is premature abstraction: a rule minted from a single vivid incident

that encodes the incident's accidents as policy.

Reapply proof

Every proposed rule carries a reapply proof: a demonstration that the rule,

as written, reproduces the correct decision on at least one of its source

occurrences without extra context. If applying the drafted rule to its own

source moment requires unwritten judgment, the rule is not yet operational —

tighten the wording until the reapply succeeds, or downgrade the proposal to

a reference. No reapply proof, no rule.

Quote-bank anchors

Tie each rule to its source moments with a quote bank: for every counted

occurrence, a short verbatim quote or command/output excerpt plus a locally

resolving citation (repo path, .agents/ao digest, or session artifact). An

occurrence that cannot be quoted and cited does not count toward the

three-instance floor. Anchors let a later reader test whether the rule still

matches what actually happened, instead of trusting the abstraction.

Boundary

Operationalize does not create tracker work, promote policy, start a factory,

validate its own output, or control another invocation. The proposal is

advisory: adopting it into a skill, deterministic check, reference, or

workflow is a separate, caller-selected step — skill-builder,

workflow-builder, or a fresh RPI — never performed here. The proposal

cannot promote itself.

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How to use it

Copy the folder

Take boshu2/operationalize from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.