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/clarify

Advance Cladding onboarding after the user answers a pending product question. Use the MCP prepare/apply flow, preserve the answer verbatim, and never invent answers. Activate only when the connected project contains spec.yaml or the user explicitly names Cladding; ignore

From plugin
cladding
1619 skills6 agents1 command1 MCP
Install
$ npx -y skills add qwerfunch/cladding --skill clarify --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/clarify

Context preview

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

Advance Cladding onboarding after the user answers a pending product question. Use the MCP prepare/apply flow, preserve the answer verbatim, and never invent answers. Activate only when the connected project contains spec.yaml or the user explicitly names Cladding; ignore

SKILL.md

clarify.SKILL.md
description: Advance Cladding onboarding after the user answers a pending product question. Use the MCP prepare/apply flow, preserve the answer verbatim, and never invent answers. Activate only when the connected project contains spec.yaml or the user explicitly names Cladding; ignore ordinary requests in uninitialized projects.

Cladding clarify

Use this workflow only for an answer contained in a new user message after Cladding displayed the pending question. Never infer, synthesize, or reuse an answer from an initialization turn. If no new user answer exists, stop without calling either clarify tool.

Use this workflow only after Cladding initialization returned a pending question and the user has answered it.

1. Call `clad_prepare_clarify` with the user's answer verbatim. 2. Read the returned prompt, current state, and artifacts. Draft the structured refinement required by `clad_clarify` using the current host model. 3. Call `clad_clarify` with the same answer, the one-time token, and the draft. 4. Ask `nextQuestion` verbatim when one remains. 5. If the result is `needs_review`, show the proposal diffs for every `pendingReview` target and wait for explicit user approval. Only then call `clad_resolve_onboarding_review` with the approved targets. Never describe onboarding as complete while review remains. 6. Report completion only when the returned status is `done`.

Do not run `clad clarify` in a shell from an AI host. Do not use MCP sampling. Never answer a product question on the user's behalf. A stale, malformed, replayed, or answer-mismatched apply request is a no-op and must be prepared again.

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Ships withcladding

For an organization to trust AI with its code, three things must hold — trust, traceability, and stability at scale. cladding wraps your AI coding agent: your intent goes in before it writes, and the result is verified against your spec after, so those three are earned, not assumed. First L4 implementation of the Ironclad standard.

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Other skills on cladding.