本文へ移動
cccskills
無料GitHub で公開

game-asset-prompt

Generate ready-to-paste AI image-gen prompts for 2D game art (character/sprite, icon/UI/item, background/tileset) that stay consistent with the project's art style across separate chat sessions in Claude/Gemini/ChatGPT chat UIs. Use when the user wants to render, generate, or create game art/sprites/icons/backgrounds with AI, or mentions an "art style bible" for a game project. Maintains a persistent `art-style-bible.md` so style doesn't drift between requests, and gives a post-generation checklist plus post-processing guidance for common technical misses (transparency, size, aspect ratio).

インストール方法を見る

含まれるファイル(8)

  • SKILL.md4.0 KB
  • references/background-tileset-template.md2.2 KB
  • references/bible-bootstrap-questions.md3.6 KB
  • references/bible-field-names.md1.5 KB
  • references/character-sprite-template.md2.6 KB
  • references/icon-ui-item-template.md2.1 KB
  • references/post-generation-checklist.md2.1 KB
  • references/post-processing-guide.md3.3 KB

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。

game-asset-prompt

Produces one ready-to-copy-paste image-gen prompt per asset request, anchored to a persistent per-project style bible, so a solo dev needs 1-2 tries instead of many. This skill never calls an image-gen API and never executes image processing — it only produces prompt text and instructions; the user pastes the prompt into their own chat tool and does post-processing by hand.

Step 1 — Bible Check

Check whether art-style-bible.md exists at the project root.

  • Missing → run the bootstrap Q&A in references/bible-bootstrap-questions.md (≤6 questions, validate none are skipped), write art-style-bible.md using that file's exact template, then continue to Step 2.
  • Present → read it. Its fields are the source of truth for every prompt this skill generates — never restate style from memory, always read the current file.

Step 2 — Asset Type

Ask which asset type is being generated, if not already stated: character/sprite, icon/UI/item, or background/tileset.

Load the matching template and follow its own steps to gather asset-specific input and produce the prompt:

  • Character/sprite → references/character-sprite-template.md
  • Icon/UI/item → references/icon-ui-item-template.md
  • Background/tileset → references/background-tileset-template.md

Every placeholder token in these templates matches references/bible-field-names.md — substitute from the bible fields read in Step 1, never invent new field names.

Reference image (if present): if the bible's [REFERENCE_IMAGE_PATH] isn't "none", or the user has an image for this specific asset, tell them to attach it directly in the chat alongside the generated prompt rather than describing it in words — a real image is a stronger consistency signal than any text description.

Step 3 — Bible Drift Check (P2)

Before generating the prompt, compare the asset's requested style/palette against the bible:

  • Warn (via AskUserQuestion) only when both hold: (a) the requested palette shares zero hex codes with [PALETTE_HEX], AND (b) the requested art direction doesn't match [ART_DIRECTION] verbatim or as a clear synonym.
  • If only one condition holds, treat it as normal variance — don't warn.
  • On warning, offer to proceed as a one-off exception or update the bible.

Step 4 — Output

After the prompt, always emit, in order:

  1. The prompt itself, in a copy-pasteable code block.
  2. A suggested filename: {type}_{name}_{variant}_{frame}.png, where {type} is char/icon/bg matching the asset type from Step 2, {name} is the asset's given name, and {variant}/{frame} are omitted when not applicable (e.g. a single non-animated icon has no frame suffix).
  3. The post-generation checklist from references/post-generation-checklist.md.

If the user reports a technical miss (wrong size, not transparent, wrong aspect) after pasting the result into their chat tool, use references/post-processing-guide.md — don't regenerate the whole prompt from scratch; follow its two-turn fallback guidance first.

Success criteria

A generated prompt is correct when: it contains the bible's style anchor phrase verbatim, states the correct technical spec (size/background/view) for the chosen asset type, includes negative constraints, and uses no tool-specific syntax (no Midjourney --ar, no Stable Diffusion (weight)) — so it works unchanged in Claude, Gemini, or ChatGPT chat.

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

Build robust backend systems — APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), databases, performance optimization, security (OWASP Top 10), scalability patterns (microservices, caching, sharding), and testing. Use when designing APIs, implementing auth, optimizing queries, handling security vulnerabilities, building microservices, or developing production-ready backend systems.

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。

DangQuangSE/team-development-skills192026年10月9日 更新

caveman

無料

Terse output mode — strips filler/articles/hedging, ~75% token reduction. Activate whenever: context is filling up, user says be brief/terse/caveman/less tokens, or CAVEMAN_TRIGGERED appears in context. Persists every response until CAVEMAN_RELEASED or user says stop/normal mode.

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。

DangQuangSE/team-development-skills192026年10月9日 更新

Explore and debate solutions before writing code. Use when the user poses a design question, asks "how should I approach X", wants to think through options before committing, or says anything like "let's brainstorm", "what's the best way to...", "I'm not sure how to tackle this", or "should I use X or Y". Always runs before /ck:plan for novel or ambiguous features. No code is written — only: explore → clarify → spec → report.

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。

DangQuangSE/team-development-skills192026年10月9日 更新

ck-cook

無料

Implement a feature phase by phase from a phased JSON master or Markdown plan. Before each phase, confirm whether to create/run unit tests and whether to run ck:quality, unless explicit flags supply those choices. Supports token-budgeted execution, resumable state, and TDD handoff to ck:test.

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。

DangQuangSE/team-development-skills192026年10月9日 更新

ck-fix

無料

Fix a bug using Scout → Diagnose → Fix → Review → Finalize. Use when the user pastes an error message, stack trace, or test failure, or says "fix this bug", "something's broken", "tests are failing", "I'm getting an error". Also accepts `--from-quality <report>` or `--from-test <report>` to fix exactly the findings/failures a report lists. Modes (pick one): --fast (trivial errors — lint, type, build — skip scout and review), --hard (mandatory review, no auto-approve).

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。

DangQuangSE/team-development-skills192026年10月9日 更新

ck-plan

無料

Plan a feature or system before implementation. Use when the user says "plan this", "I want to build X", "how do I implement Y", or when /ck:brainstorm produces a spec.md. Always run before /ck:cook. Modes (pick one): --fast (simple, single-file), --hard (research + red-team + validate). Composable flag (combine with any mode): --tdd — propagates into the cook pipeline. Every phase gets Design Constraints and Quality/Testing State; ck:cook confirms optional test and quality checks per phase.

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。

DangQuangSE/team-development-skills192026年10月9日 更新

DangQuangSE のスキルをすべて見る

このスキルの問題を報告する