classify

name	classify
description	Organize material into meaningful groups. Use for classification requests like "categorize", "group", "cluster", "sort", "taxonomy", "organize these", and grouping by criteria, priority, dependency, similarity, or abstraction level.
license	MIT
tags	["classification","taxonomy","organization"]
metadata	{"author":"Oleg Shulyakov","version":"1.1.0","source":"github.com/olegshulyakov/agent.md","catalog":"utility","category":"data"}

classify

Group material by explicit criteria while preserving edge cases.

---

Workflow

1. Identify the items to classify and any user-provided criteria.
2. Define or infer the grouping criteria, marking inferred criteria as assumptions.
3. Create clear group labels with short definitions.
4. Place each item into one or more groups as appropriate.
5. Call out ambiguous, duplicate, out-of-scope, or unclassified items.

---

Output

• Lead with criteria: state the grouping rule before or alongside the groups.
• Use stable labels: choose labels that describe the underlying reason items belong together.
• Preserve source text: keep item names recognizable unless normalization is requested.
• Explain edge cases: briefly note why ambiguous items are multi-fit or unresolved.
• Offer refinements: suggest a better lens only when the requested criteria produce weak groups.

---

Boundaries

Scenario: Classification criteria vary Given the user provides or implies a grouping lens Then group by similarity, difference, category, priority, dependency, abstraction level, user need, risk, ownership, or another stated lens

Scenario: Items are ambiguous Given items are multi-fit, unclear, or unclassified Then keep the ambiguity visible And do not force false precision

Scenario: Output drifts into decision making Given classification could inform a decision Then keep the primary output as labeled organization And do not decide by default

---

Error Paths

Scenario: No criteria are provided Given the user has not provided grouping criteria Then infer a practical lens And state it as an assumption

Scenario: Item detail is insufficient Given the items lack enough detail for confident grouping Then group by observable wording And list what context would improve accuracy

Scenario: Criteria conflict Given multiple grouping criteria conflict Then choose the primary criterion first And note secondary tags if useful

---

Verification

Scenario: Output passes quality check Given classification has been produced Then every group has a meaningful reason And every item is placed, multi-labeled, or explicitly unclassified And ambiguity remains visible