agentify-project
Make a project agent-ready by converging it toward a canonical agent-neutral structure. Re-runnable, and doubles as an audit.
Verify the engineer is ready to implement a feature through a teach-back conversation over its ticket review.
Claude Code
$ npx -y skills add eai-org/agent-toolkit --skill verify-understanding --agent claude-code
Codex
$ npx skills add eai-org/agent-toolkit --skill verify-understanding -a codex -y
Cursor
$ npx skills add eai-org/agent-toolkit --skill verify-understanding -a cursor -y
Gemini CLI
$ npx skills add eai-org/agent-toolkit --skill verify-understanding -a gemini-cli -y
GitHub Copilot
$ npx skills add eai-org/agent-toolkit --skill verify-understanding -a github-copilot -y
OpenCode
$ npx skills add eai-org/agent-toolkit --skill verify-understanding -a opencode -y
Windsurf
$ npx skills add eai-org/agent-toolkit --skill verify-understanding -a windsurf -y
name: verify-understanding description: Verify the engineer is ready to implement a feature through a teach-back conversation over its ticket review. disable-model-invocation: true type: flow license: MIT metadata: version: "1.4"
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.
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.
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, 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>`.
A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.
Make a project agent-ready by converging it toward a canonical agent-neutral structure. Re-runnable, and doubles as an audit.
Attach pasted images, files or URLs to a fetched ticket, saved beside its ticket file and referenced from it, or fill an…
Check how much of a ticket is already implemented and save a per-requirement status report.
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing…
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.