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/dataset-capability-recommend

Recommend an independently composable dataset capability profile with plain-language rationale and safe defaults.

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aiwg
213200 skills199 agents26 commands
Install
$ npx -y skills add jmagly/aiwg --skill dataset-capability-recommend --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dataset-capability-recommend

Context preview

The summary Claude sees to decide when to auto-load this skill.

Recommend an independently composable dataset capability profile with plain-language rationale and safe defaults.

SKILL.md

dataset-capability-recommend.SKILL.md
namespace: aiwg
name: dataset-capability-recommend
description: Recommend an independently composable dataset capability profile with plain-language rationale and safe defaults.
version: 1.0.0
platforms: [all]
aliases: [indexing recommendation, dataset profile, retrieval plan]
triggers: [how should I index this, make it searchable with provenance, add traceability, choose vector or graph, recommend dataset capabilities]

Dataset Capability Recommendation

Consume intake and assessment references. Recommend only capabilities supported by current negotiation evidence. Compose full-text/vector/hybrid/rerank indexing, traceability, provenance, graph, and export independently; never force a preset.

For each selection state rationale, assumptions, materialized artifact and its class, privacy/network/write implications, required versus optional status, and explicit fallback. Required absence fails closed. Write those decisions to the governed plan input, then use `aiwg dataset plan --file <plan-input.json> --json` to create the candidate plan and hand its immutable reference to `dataset-plan-review`.

Ships withaiwg

Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.

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