本文へ移動
cccskills
無料GitHub で公開

estimate-ticket

Estimate a Jira/Linear ticket — 'estimate PROJ-123', 'wie groß ist das?', 'should we split this?' — size + risk + split + uncertainty, sibling of /refine-ticket, close-prompt.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md7.8 KB
  • evals/evals.json740 B
  • evals/output-schema.yml713 B
  • evals/triggers.json455 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Estimate Ticket

Sibling of /refine-ticket. Takes the same input, returns size, risk, split recommendation, and uncertainty — nothing else. Separate from refinement so each stays sharp. Output is copyable; write-back is user-gated.

When to use

  • Sprint planning: "how big is PROJ-123?"
  • Scope sanity: "should we split this?"
  • Confidence check: "do we actually understand this ticket?"
  • German: "wie groß ist das Ticket?", "sollen wir das splitten?", "ist das ein Spike-Kandidat?"

When NOT to use (near-misses)

PhrasingRoute to
"refine the ticket" / "tighten AC"/refine-ticket (sibling)
"plan this feature"/feature-plan (downstream)
"is this a duplicate?"validate-feature-fit (sub-skill)
"threat-model this"threat-modeling (sub-skill)
"investigate this bug"/bug-investigate

/estimate-ticket does not rewrite the ticket. If the ticket is too vague to estimate, output says so and routes to /refine-ticket.

Inputs

Same four paths as /refine-ticket (delegates to jira-ticket loader): ticket key, branch-name detection, pasted text, URL.

Procedure

1. Load ticket

Delegate to jira-ticket §1-3 (key / URL / branch → Jira API fetch, summary + description + AC + comments). For pasted text: parse markdown.

2. Inspect estimability

Before producing numbers, check:

  • Is the outcome observable (AC bullets concrete)?
  • Is the scope one behavior, or bundled?
  • Are external dependencies (APIs, teams, migrations) named?
  • Is there a rollback plan implied?

If the ticket scores low on estimability (vague AC, no out-of-scope, no mention of dependencies), set uncertainty = Underspecified and emit a single-line redirect to /refine-ticket at the top of the output.

A cross-source discrepancy (per cross-source-consistency) — ticket text contradicting an attached mockup, or a clearly-needed-but-unstated behavior (weekend/holiday shift) — is not estimable as-is: it hides an open scope decision. Raise uncertainty and name the discrepancy in the redirect rather than sizing over a contradiction.

3. Apply sizing heuristics

Score across four axes; each axis contributes to the final size:

AxisSignals
Surface area# of files / modules / layers touched
Unknowns# of "figure out", "investigate", "tbd" phrases
Coordinationexternal teams, cross-service calls, migrations
Testing costintegration tests needed, manual verification steps

Map the combined score to S / M / L / XL:

  • S — single file / single layer / fully understood / unit tests suffice
  • M — 2-4 files / one service boundary / one unknown / some integration tests
  • L — multiple modules / cross-layer / 2+ unknowns / migrations or data changes
  • XL — multi-service / 3+ unknowns / coordination with another team — always recommend split

4. Apply personas

Same Core-6 as refine-ticket. Each voice produces one sentence focused on their sizing concern, not general feedback:

  • Developer — "implementation size feels X because Y"
  • Senior Engineer — "blast radius is X; hidden cost is Z"
  • Product Owner — "value is X; can we deliver value incrementally?"
  • Stakeholder — "timeline fit: X; drop-dead date risk: Y"
  • Critical Challenger — "this estimate is wrong because Z"
  • AI Agent — "automatable parts: X; manual parts: Y"

--personas=+qa adds QA: "test surface is X; regression risk is Y".

5. Synthesize + close-prompt

Produce the four-section output (template below). After rendering, emit the close-prompt.

Output template

## Estimate

- **Size:** S / M / L / XL
- **Risk:** Low / Medium / High
- **Split:** No / Yes → <split points>
- **Uncertainty:** High-confidence / Needs-spike / Underspecified

## Sizing rationale

<2-4 bullets citing the four axes — surface area, unknowns,
coordination, testing cost — each with evidence from the ticket>

## Split points (only if Split: Yes)

1. <first slice — deliverable on its own>
2. <second slice — deliverable on its own>
3. …

## Persona voices (sizing-focused)

- **Developer** — <one sentence>
- **Senior Engineer** — <one sentence>
- **Product Owner** — <one sentence>
- **Stakeholder** — <one sentence>
- **Critical Challenger** — <one sentence>
- **AI Agent** — <one sentence>
- **[qa]** — *(only when `--personas=+qa`)* <one sentence>

Wrap the Estimate section in a copyable markdown block so it can be pasted into Jira / sprint tooling verbatim.

Close-prompt (mandatory final step)

> Next action for this estimate:
>
> 1. Comment on Jira — I'll post the estimate as a comment
> 2. Set story points — I'll set the Story Points field (if your size maps: S=2, M=3, L=5, XL=8)
> 3. Nothing — I'll handle it myself / take it to planning

Options 1 and 2 require jira-ticket write permissions; degrade to copy-paste instructions if missing.

Output format

  1. Estimate block with four fields (size, risk, split, uncertainty), wrapped in a copyable markdown block.
  2. Sizing rationale — 2-4 bullets, each citing one of the four axes with evidence from the ticket.
  3. Split points section — only when Split: Yes; numbered list of independently-deliverable slices.
  4. Persona voices — one sentence per persona from the active set, sizing-focused (not general feedback).
  5. Close-prompt — exactly three numbered options (comment / set points / nothing); no fourth option in v1.

Gotcha

  • Estimators default to optimism. Every size must cite evidence for at least one of the four axes — not "feels like M".
  • Underspecified is not a safe default. Use it only when estimability actually fails; otherwise pick a size and state the risk.
  • Split: Yes without concrete split points is useless. Name the slices or drop the recommendation.
  • Persona voices drift into general feedback. Each sentence must be about sizing — developer talks implementation size, stakeholder talks timeline fit, etc.
  • Story-point mapping (S=2 / M=3 / L=5 / XL=8) is the default; projects may override — do NOT hardcode their scale into this skill.

Do NOT

  • Do NOT rewrite the ticket — that's /refine-ticket. If the ticket needs rewriting, emit the redirect line and stop.
  • Do NOT write to Jira in v1 — copy-paste + close-prompt, same contract as /refine-ticket.
  • Do NOT chain into /feature-plan automatically — separate invocations by design.
  • Do NOT produce sizes without rationale — the bullets are mandatory, not optional.
  • Do NOT invent split points that share state with each other — every slice must be independently deliverable.

See also

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.

日本語の概要は準備中です。原文の説明を表示しています。

event4u-app/agent-config112026年10月12日 更新

Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.

日本語の概要は準備中です。原文の説明を表示しています。

event4u-app/agent-config112026年10月12日 更新

Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.

日本語の概要は準備中です。原文の説明を表示しています。

event4u-app/agent-config112026年10月12日 更新

Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.

日本語の概要は準備中です。原文の説明を表示しています。

event4u-app/agent-config112026年10月12日 更新

Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.

日本語の概要は準備中です。原文の説明を表示しています。

event4u-app/agent-config112026年10月12日 更新

Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.

日本語の概要は準備中です。原文の説明を表示しています。

event4u-app/agent-config112026年10月12日 更新

event4u-app のスキルをすべて見る

このスキルの問題を報告する