agentify-project
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Triage a ticket or ticket set before work starts — compare it against the codebase and save a review covering verdict, feature walkthrough, and only the high-cost questions worth raising.
$ npx -y skills add eai-org/agent-toolkit --skill review-ticket --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/review-ticketContext preview
The summary Claude sees to decide when to auto-load this skill.
Triage a ticket or ticket set before work starts — compare it against the codebase and save a review covering verdict, feature walkthrough, and only the high-cost questions worth raising.
name: review-ticket description: Triage a ticket or ticket set before work starts — compare it against the codebase and save a review covering verdict, feature walkthrough, and only the high-cost questions worth raising. disable-model-invocation: true type: flow license: MIT metadata: version: "1.3"
A pre-pickup triage glance: read a ticket — or a set of tickets forming one feature — usually before anyone has started it, and decide whether it can be picked up or something must be clarified first. The output briefs the developer on the feature and lists the questions worth asking whoever owns the requirements.
`.TICKET.md` whose `## Ticket set` section lists siblings.
that invokes [fetch-ticket](../fetch-ticket/SKILL.md), so the tickets land on disk without the fetch bloating this session's context, then review the local files.
If the input is ambiguous or unrecognized, ask rather than guess.
**Set mode** applies to multiple tickets, a set directory, or a `.TICKET.md` listing a `## Ticket set`. For a lone member file whose intended scope isn't obvious from the request, ask whether to review the whole set or just that ticket.
Read the input ticket file(s), **visually inspecting the downloaded images and design frames** — they are part of the spec and often where the gaps hide.
**Widen only on demand.** When the input already tells the feature clearly — the journey, the why, what each ticket delivers — review it as-is: reading beyond the input is never a required step. Settle a specific doubt as cheaply as possible, and only to answer it:
ticket's journey often lives in its parent or a sibling;
ticket deep-dived from the ticket file's shallow related list (title, status, type), a missing parent fetched through the same fetch-ticket subagent (its family routing lands it flat in the set directory).
Unsure the extra context is worth it? Ask. Stop once the doubt is answered; never recurse the related-ticket graph — except to kill a candidate question (see the question bar). Context never widens scope: the review covers only the input tickets, never a parent's other children.
Weigh the ticket against the current code at adaptive depth: shallow by default, deeper only to (a) ground the walkthrough in how the code behaves today and (b) settle whether a real blocker exists. This is not an exhaustive both-sides verification: go as deep as a specific doubt demands, no more.
A question reaches the output only when it clears **both**:
1. **Decision-expensive**: the answer changes what this developer builds — it blocks starting, or would be costly to reverse because it shapes the implementation (architecture, data model, approach). Cheap, easily-changed details (a color, a label, wording, spacing) are dropped even when unspecified. A real gap whose fix lies wholly outside the input tickets' scope (another repo, another team) is a **handoff**, not a question: it ships as an action item with a paste-ready message to its owner, and starting never waits on it. 2. **Survives the challenge**: a challenger (next section) hunted for the answer across every checkable source and came back empty-handed, with a complete evidence trail.
**Cheap-settle first.** Before challenging, settle each candidate as far as material already read or trivially reachable allows — set siblings on disk, code already open, an obvious lead (a telling title in an already-fetched relative's related list, a parent's other children included, a code path an earlier check surfaced). What a check settles, settle silently: never ask what you can read. The exhaustive hunts — whole-repo sweeps, tracker keyword search, design-tool exploration — are the challenger's job alone: never duplicate them here, and pass any lead you didn't follow into the challenger prompt.
**Zero questions is a clean, common result**: the ticket is ready to pick up. Never pad to look thorough. Zero candidates → zero challengers.
Each surviving candidate gets one challenger — a subagent or equivalent isolated context, fresh per question, spawned in parallel, strictly read-only — prompted from the template in [challenger-prompt.md](challenger-prompt.md). When the harness cannot isolate a context, run the same template procedure inline over the same sources and flag each surviving question's why-note "challenged same-context (weaker)".
Judge the verdicts asymmetrically, in both directions:
path + lines + verbatim quote, ticket id + quoted text, design frame id): open the load-bearing citation yourself and confirm it exists as quoted **and answers the question as asked** — related evidence is not an answer. Either check fails → reject the verdict, the question stays. A derivation kill rests on multiple quotes composing an inference: verify each quote and that the conclusion follows. RESHAPED is a partial kill: same citation bar for the answered part, and the trail must explicitly cover the remainder; the narrowed question is not re-challenged.
an incomplete trail (a dead or errored challenger counts as one): unless the invocation preset a re-challenge budget, ask the user — one batched ask covering all weak trails — whether to spend a re-challenge aimed only at the unchecked sources. Still
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 ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Check how much of a ticket is already implemented — split it into requirement blocks, judge each against the code, and save a human-readable TICKET-STATUS…
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control and regularly re-read by…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
Turn a refined requirements document into a structured implementation PLAN.md a fresh session can execute. Planning only — decides the "how", not the "what".…