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Run broad web or source research by splitting the question into independent lines of inquiry and synthesizing the results.
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Basierend auf der SOC-Berufsklassifikation
Distill Herd commander memory, clean stale MEMORY.md entries, promote durable commander lessons into LONG_TERM_MEM.md, and propose shared-knowledge updates through a review gate. Use for periodic commander memory cleanup.
Examine workspace files for durable context, filter out low-value noise, and clean up stale memory or rule files that contribute to context rot.
Write or rewrite agent skill files so they are outcome-oriented, bounded, and easy for another agent to apply. Use when creating a new skill, translating a skill, or tightening an existing skill's acceptance criteria, boundaries, or output contract.
Add or pair a Herd machine — mint an enrollment token and return the one-line connect command, or re-pair an existing daemon machine.
Conversationally collect, validate, preview, and create a new Herd commander through the backend API.
Create a Herd automation from a conversation while preserving sourceConversationId provenance.
| name | wide-research |
| description | Run broad web or source research by splitting the question into independent lines of inquiry and synthesizing the results. |
| user-invocable | true |
| argument-hint | <research question> |
Use this skill for complex research questions that need multiple independent sources or perspectives.
Workflow:
Do not overquote sources; summarize in your own words.
