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Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
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Showing SKILL.md
| name | story-display-skill |
| description | 负责小说情节的持久化写入、生成校验以及终端的完整展示。通过原生指令确保万字剧情不被截断。 |
本技能是“万言小说”最后落地的关键环节。它通过“写入 -> 校验 -> 原生展示”的闭环，确保每一回剧情都能安全存盘并 1:1 地呈现在玩家终端上。
story-engine 生成的内容写入 ./history/chapters/。type）完整输出内容，规避 AI 模型输出长度限制。python .agent/skills/story-display-skill/scripts/display_chapter.py --chapter <N> --content "<CONTENT>"scripts/display_chapter.py: 处理核心流转。