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/verify-understanding

Verify the engineer is ready to implement a feature — a teach-back conversation over a .TICKET-REVIEW.md where they explain the feature in their own words and the agent probes and corrects.

From plugin
agent-toolkit
4625 skills
Install
$ npx -y skills add eai-org/agent-toolkit --skill verify-understanding --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/verify-understanding

Context preview

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

Verify the engineer is ready to implement a feature — a teach-back conversation over a .TICKET-REVIEW.md where they explain the feature in their own words and the agent probes and corrects.

SKILL.md

verify-understanding.SKILL.md
name: verify-understanding
description: Verify the engineer is ready to implement a feature — a teach-back conversation over a .TICKET-REVIEW.md where they explain the feature in their own words and the agent probes and corrects.
disable-model-invocation: true
type: flow
license: MIT
metadata:
  version: "1.1"

Verify understanding

One goal, nothing more, nothing less: verify the engineer is ready to move to the implementation phase. Exercise their understanding of a feature before they work on it — the pipeline's other artifacts serve fresh agent sessions; this step serves the human. Active recall: the user produces the feature in their own words, you only steer and fix. Re-runnable: right after the ticket review, or days later just before implementation — every run starts fresh from the review file, no state kept between runs.

Input

A `.TICKET-REVIEW.md`. Read it and the ticket files and parent it links. A reference that exists only as a tracker URL (no local file) may be fetched read-only at conversation time.

The conversation

A conversation, not a test — the last sync between a dev and their PO before development starts. Word your probes and corrections via `explain-in-simple-language` when available.

1. Ask the user to explain the feature in their own words: who uses it, what they see and do, why the feature exists, and what each ticket contributes. 2. Let them produce the narrative. Probe one weak spot at a time; correct and complete only from the review file and the referenced materials — flag what those don't settle, never improvise requirements. 3. Stay at that PO–dev depth: journey, actors, purpose, per-ticket contribution — not DTO, field, or architecture detail.

When the product's user-facing language differs from the conversation's, name each page, text, or element with its user-facing term in parentheses — "the client area (klantportaal)".

Done when the user has correctly produced — corrections absorbed — the journey, why the feature exists, and every input ticket's contribution: enough to start implementing. Close with a short wrap-up naming anything that stayed shaky, then point at `/refine-ticket <ticket-file>` per ticket, in the set's suggested execution order.

Boundaries

  • The conversation is the product: write no files.
  • Read-only on the tracker.
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Ships withagent-toolkit

A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.

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