verify-understanding

Solid

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.

AI & Automation 26 stars 3 forks Updated today MIT

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Quality Score: 85/100

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48
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
97
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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. 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...

Details

Author
eai-org
Repository
eai-org/agent-toolkit
Created
2 months ago
Last Updated
today
Language
Shell
License
MIT

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