verify-understanding
Skill85 starsChanged 21 days agoMITView on GitHub
Verify the engineer is ready to implement a feature through a teach-back conversation over its ticket review.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agentify-projectSkill
- attach-to-ticketSkill
- check-ticket-implementationSkill
- compact-docs-writerSkill
- compact-skill-creatorSkill
- context-checkupSkill
- create-implementation-planSkill
- create-manual-test-instructionsSkill
- execute-plan-tasksSkill
- explain-in-simple-languageSkill
- extract-pr-review-rulesSkill
- fetch-pr-reviewSkill
- fetch-ticketSkill
- fresh-eyes-reviewSkill
- grill-meSkill
- handoverSkill
- harden-artifactSkill
- maintainer-reviewSkill
- memory-doctorSkill
- prepare-promptSkill
- refine-pr-reviewSkill
- refine-ticketSkill
- review-code-assistantSkill
- review-ticketSkill
- run-nx-checksSkill
- self-improveSkill
- self-reviewSkill
- split-plan-tasksSkill
- use-conversational-languageSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 40
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 …
- Distinctive: line 48
When the product's user-facing language differs from the conversation's, name each page, text, or element with its user-facing term in …
- Distinctive: line 63
Read-only on the tracker.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 read from the tracker at conversation time. A ticket
with a newer -vN fetch beside the one the review read has likely overtaken it: say so, read the
newest ticket files, and treat the review's open questions as possibly answered there. Then look
for a .TICKET-REVIEW.md under the newest ticket file's base, flat beside it or inside its -vN/
directory: one that exists and is not the input → say so and run the conversation from it, the
given review at most context; none → the overtaken handling stands. The .REQUIREMENTS.md of the
newest ticket file's base (none: the ticket's latest across -vN versions) is read for its
Overrides, which win over the ticket text.
Given a ticket file and no review, never improvise one: say a review is needed and stop, handing
off /review-ticket <ticket-file> as a launch command named review-<slug> (format at the close)
when review-ticket is available.
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.
- 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.
- 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.
- 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, only when refine-ticket is available, hand off
refining each ticket, in the set's suggested execution order, as its own fenced block under a label
naming the ticket, holding one copy-pasteable launch command in the syntax of the agent tool in use
(claude is only the example): claude --name refine-<slug> "/refine-ticket <ticket-file>"; then
the alternative: one line offering the tool's clear command (/clear is only the example), then
the same labelled blocks with /refine-ticket <ticket-file>.
Boundaries
- The conversation is the product: write no files.
- Read-only on the tracker.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

