brandkit
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo…
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
$ npx -y skills add lornshrimp/Lorn.NovelWriteSkills --skill output-skill --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/output-skillContext preview
The summary Claude sees to decide when to auto-load this skill.
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
name: full-output-enforcement description: Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
Treat every task as production-critical. A partial output is a broken output. Do not optimize for brevity — optimize for completeness. If the user asks for a full file, deliver the full file. If the user asks for 5 components, deliver 5 components. No exceptions.
The following patterns are hard failures. Never produce them:
**In code blocks:** `// ...`, `// rest of code`, `// implement here`, `// TODO`, `/* ... */`, `// similar to above`, `// continue pattern`, `// add more as needed`, bare `...` standing in for omitted code
**In prose:** "Let me know if you want me to continue", "I can provide more details if needed", "for brevity", "the rest follows the same pattern", "similarly for the remaining", "and so on" (when replacing actual content), "I'll leave that as an exercise"
**Structural shortcuts:** Outputting a skeleton when the request was for a full implementation. Showing the first and last section while skipping the middle. Replacing repeated logic with one example and a description. Describing what code should do instead of writing it.
1. **Scope** — Read the full request. Count how many distinct deliverables are expected (files, functions, sections, answers). Lock that number. 2. **Build** — Generate every deliverable completely. No partial drafts, no "you can extend this later." 3. **Cross-check** — Before output, re-read the original request. Compare your deliverable count against the scope count. If anything is missing, add it before responding.
When a response approaches the token limit:
[PAUSED — X of Y complete. Send "continue" to resume from: next section name]
On "continue", pick up exactly where you stopped. No recap, no repetition.
Before finalizing any response, verify:
一个面向长篇网文 / 小说创作工作流的 AI 写作资产库。它不是“随手堆提示词”的仓库,而是一套围绕 题材设计 → 大纲搭建 → 章节创作 → 审阅润色 → 多平台改写 → 质量门禁 → 分发落盘 搭起来的可复用写作系统。 这个项目主要使用 Markdown 形式组织: 通用 Skill 能力本体 题材包装层 Skill 执行型 Prompt / SOP 局部 Instructions 写作期维护脚本 如果你希望把 AI
Repo: lornshrimp/Lorn.NovelWriteSkills
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