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to-tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket locally, or native blocking links on a real tracker).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai스타 664(GitHub 664 + cccskills 0)

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  • SKILL.md5.5 KB
  • agents/openai.yaml146 B

SKILL.md(원문)

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To Tickets

Break a plan, spec, or conversation into a set of tickets: tracer-bullet vertical slices, each declaring the tickets that block it.

The issue tracker and triage label vocabulary should have been provided to you. If not, tell the user to run /setup-matt-pocock-skills.

Process

1. Gather context

Work from whatever is already in the conversation context. If the user passes a reference (a spec path, an issue number or URL) as an argument, fetch it and read its full body and comments.

2. Explore the codebase (optional)

If you have not already explored the codebase, do so to understand the current state of the code. Ticket titles and descriptions should use the project's domain glossary vocabulary, and respect ADRs in the area you're touching.

Look for opportunities to prefactor the code to make the implementation easier. "Make the change easy, then make the easy change."

3. Draft vertical slices

Break the work into tracer bullet tickets.

<vertical-slice-rules>
  • Each slice cuts a narrow but COMPLETE path through every layer (schema, API, UI, tests): vertical, NOT a horizontal slice of one layer
  • A completed slice is demoable or verifiable on its own
  • Each slice is sized to fit in a single fresh context window
  • Any prefactoring should be done first
</vertical-slice-rules>

Give each ticket its blocking edges: the other tickets that must complete before it can start. A ticket with no blockers can start immediately.

Wide refactors are the exception to vertical slicing. A wide refactor is one mechanical change (rename a column, retype a shared symbol) whose blast radius fans across the whole codebase, so a single edit breaks thousands of call sites at once and no vertical slice can land green. Don't force it into a tracer bullet; sequence it as expand–contract. First expand: add the new form beside the old so nothing breaks. Then migrate the call sites over in batches sized by blast radius (per package, per directory), each batch its own ticket blocked by the expand, keeping CI green batch to batch because the old form still exists. Finally contract: delete the old form once no caller remains, in a ticket blocked by every migrate batch. When even the batches can't stay green alone, keep the sequence but let them share an integration branch that all block a final integrate-and-verify ticket; green is promised only there.

4. Quiz the user

Present the proposed breakdown as a numbered list. For each ticket, show:

  • Title: short descriptive name
  • Blocked by: which other tickets (if any) must complete first
  • What it delivers: the end-to-end behaviour this ticket makes work

Ask the user:

  • Does the granularity feel right? (too coarse / too fine)
  • Are the blocking edges correct: does each ticket only depend on tickets that genuinely gate it?
  • Should any tickets be merged or split further?

Iterate until the user approves the breakdown.

5. Publish the tickets to the configured tracker

Publish the approved tickets. How depends on the tracker /setup-matt-pocock-skills configured; the tickets are the same either way, only the shape of the blocking edges changes:

  • Local files → write one file per ticket under .scratch/<feature-slug>/issues/<NN>-<slug>.md, numbered from 01 in dependency order (blockers first). Each file's "Blocked by" lists the numbers/titles it depends on. Use the per-ticket file template below: one ticket per file, never a single combined file.
  • A real issue tracker (GitHub, Linear, …) → publish one issue per ticket in dependency order (blockers first) so each ticket's blocking edges can reference real identifiers. Use the platform's native blocking / sub-issue relationship where it has one; otherwise set each ticket's "Blocked by" to the blocking issues. Apply the ready-for-agent triage label unless instructed otherwise; the tickets are agent-grabbable by construction.

Work the frontier: any ticket whose blockers are all done. For a purely linear chain that means top to bottom.

Do NOT close or modify any parent issue.

<local-ticket-template>

<NN>: <Ticket title>

What to build: the end-to-end behaviour this ticket makes work, from the user's perspective, not a layer-by-layer implementation list.

Blocked by: the numbers/titles of the tickets that gate this one, or "None (can start immediately)".

Status: ready-for-agent

  • Acceptance criterion 1
  • Acceptance criterion 2
</local-ticket-template> <issue-template>

Parent

A reference to the parent issue on the tracker (if the source was an existing issue, otherwise omit this section).

What to build

The end-to-end behaviour this ticket makes work, from the user's perspective, not layer-by-layer implementation.

Acceptance criteria

  • Criterion 1
  • Criterion 2

Blocked by

  • A reference to each blocking ticket, or "None (can start immediately)".
</issue-template>

In either form, avoid specific file paths or code snippets: they go stale fast. Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it and note briefly that it came from a prototype. Trim to the decision-rich parts, not a working demo, just the important bits.

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같은 저장소의 스킬

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

architect

무료

Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

arena

무료

Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

ask-matt

무료

Ask which skill or flow fits your situation. A router over the skills in this repo.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

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