conversation-flow

conversation-flow is a System prompts & personas skill for AI agents, published by kangarooking in the system-prompt-skills repository on GitHub. Skillspace rates conversation-flow D (59/100) and it passed the safety scan; the rating is based on static analysis only.

当系统提示词需要定义 AI 如何分类用户意图、路由到不同处理流程、决定澄清策略和自主度级别时调用此 Skill。适用于多任务型 AI 助手、客服机器人、编程工具、研究助手等需要结构化对话管理的场景。不适用于:纯问答型系统(无任务执行)、单轮交互(无对话状态)、简单的 prompt 模板(无路由逻辑)。当需求仅涉及"输出什么格式"而非"如何决定输出什么"时,应该用 output-formatting 而非本 Skill。

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
117

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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