| 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
- Identify the items to classify and any user-provided criteria.
- Define or infer the grouping criteria, marking inferred criteria as assumptions.
- Create clear group labels with short definitions.
- Place each item into one or more groups as appropriate.
- 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
