Distill repeated, evidence-backed expertise into a proposed skill, check, reference, or workflow artifact. Triggers: "operationalize this", "turn this expertise into a reusable capability".
npx skills add https://github.com/boshu2/agentops --skill operationalize
Turn repeated, cited expertise into a proposal for a reusable artifact.
authoritative source, subject to the three-instance floor below when the
proposal abstracts a rule.
examples, and evidence.
caller-owned workflow.
or deletion condition.
the caller asks for a durable artifact, write it under
.agents/scratch/operationalize/ first and return the path; the proposal
is advisory either way.
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.
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.
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.
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.
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
> provider/change budget/修改卖家/修改预算/draft/草稿/我的任务/my tasks/what am I working on/关闭/取消任务/决策列表/decision list/指定服务商/browse (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
Structured persuasion for tech leads, PMs, and founders—not activity logs. Five scenarios (kickoff, status update, wrap-up, investor pitch, solution selling) on one 5-part framework (Hook→Context→Proposal→Evidence→Ask). AI prompts for missing materials and audience context; pre-submit checklist. Claude Code plugin; Cursor, Codex, and chat via prompts.
Take boshu2/operationalize from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.