operationalize

Featured

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

AI & Automation 434 stars 40 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 97/100

Stars 20%
88
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Operationalize Turn repeated, cited expertise into a proposal for a reusable artifact. 1. 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. 2. State the triggering situation, desired behavior, inputs, outputs, negative examples, and evidence. 3. Apply the process-artifact creation gate before choosing a shape. A proposed certificate, ledger, dashboard, matrix, meta-report, readiness review, speculative check, skill, or workflow must name its concrete consumer, the subject or release decision it gates, the observed defect class justifying it, and its deletion condition. Code or process introduced solely to consume the artifact does not qualify. If any answer is missing, propose no artifact and redirect to the caller-requested subject. Minimal integrity or recovery state is allowed only when necessary to prevent a named evidence-loss or corruption mode. 4. Choose the smallest fitting shape: reference, skill, deterministic check, or caller-owned workflow. 5. Search existing capabilities and prefer extension over duplication. 6. Provide an activation example, holdout/negative example, owner, and rollback or deletion condition. 7. 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...

Details

Author
boshu2
Repository
boshu2/agentops
Created
10 months ago
Last Updated
today
Language
Go
License
Apache-2.0

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

Testing & QA Listed

expert-trace-skill-distillation

Use when turning expert materials, execution traces, repository evidence, or long-form documents into an inspectable, correctable, and empirically verified agent skill. Covers source governance, capability-vs-behavior separation, contrastive induction from successes and failures, intervention testing, versioning, rollback, and task-conditioned vs. reusable-library evaluation.

9 Updated yesterday
mouadja02
Code & Development Listed

skillify

Graduate a battle-tested procedure into a new SKILL.md in .agents/skills/. MUST be used at mission end (after the last feature passes), whenever the code-reviewer's flywheel notes flag the same failure class or procedure twice, or when the user says "skillify this", "make this a skill", or "we keep doing this". Orchestrator-only. Produces skills from EVIDENCE (PROGRESS.md, review findings, git log) — never from speculation.

0 Updated 4 weeks ago
hashorva
AI & Automation Featured

agent-skills-platform

Create cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill, audit this skill, is this skill safe, vet a skill before installing, what does this skill access. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, spec validation, and security auditing of third-party skills before install.

2,382 Updated 1 weeks ago
FrancyJGLisboa