crossframe-skill

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SUMMARY

CrossFrame Skill Suite:面向 AI agent 的中文结构诊断、公共议题分析、组织复盘、历史材料处理、追问和成文工作流。

README.md

CrossFrame Skill Suite

CrossFrame Skill Suite is a Chinese structural diagnosis and writing skill suite for AI agents.

It is designed for tasks where a plain answer is not enough: complex relationships, teams, institutions, public disputes, historical materials, arguments, reader replies, research notes, and long-form Chinese essays.

The suite asks the agent to separate facts, evidence, scale, responsibility, mechanism, and expression before producing a readable answer.

What It Does

  • Diagnoses complex social, organizational, relational, and institutional situations.
  • Turns structural analysis into readable Chinese essays, replies, reports, memos, and case notes.
  • Reviews generated answers for evidence boundaries, overclaiming, source drift, and weak reasoning.
  • Supports public-issue analysis, organization repair, debate analysis, historical-source handling, concept teaching, and research-note workflows.
  • Preserves explicit invocation: CrossFrame should be used only when the user asks for it.

When To Use It

Use CrossFrame when the user asks for one of these:

  • structural diagnosis or cross-scale analysis
  • public issue, platform governance, policy, or institutional responsibility analysis
  • team, project, or organization repair
  • relationship or responsibility-chain analysis
  • historical materials, source-ledger boundaries, or archive/FOIA backlog handling
  • argument testing, debate mapping, or withdrawal conditions
  • turning analysis into a complete Chinese article
  • reviewing whether an answer actually reasons from evidence
  • follow-up inquiry after a completed analysis or article

Do not use it for simple factual lookup, arithmetic, ordinary chat, or tasks where the user did not ask for CrossFrame-style reasoning.

Main Entry

For multi-step work, start with:

crossframe-suite

The suite chooses the workflow and then routes to the needed specialist skills.

Common workflows:

crossframe -> crossframe-review
crossframe -> crossframe-essay -> crossframe-review
crossframe -> crossframe-public -> crossframe-essay -> crossframe-review
crossframe -> crossframe-org -> crossframe-essay -> crossframe-review
crossframe -> crossframe-history -> crossframe-essay -> crossframe-review
crossframe -> crossframe-dialogue
crossframe -> crossframe-notebook
crossframe -> crossframe-inquiry

Skill Areas

Skill Purpose
crossframe-suite Workflow router for multi-step CrossFrame tasks
crossframe Core structural diagnosis
crossframe-essay Converts analysis into complete Chinese essays
crossframe-review Checks reasoning, evidence boundaries, and output quality
crossframe-dialogue Reader replies, editorial responses, and short consultation answers
crossframe-casebook Turns materials into reusable case entries
crossframe-history Historical materials, source ledgers, and archive/FOIA boundaries
crossframe-public Public issues, institutions, platforms, policies, and compliance materials
crossframe-org Team, project, and organization repair
crossframe-teach Plain-language concept explanation and exercises
crossframe-debate Proposition testing, opposing arguments, and withdrawal conditions
crossframe-notebook Reading notes for books, theories, articles, and excerpts
crossframe-critical Named-only long-form structural critique
crossframe-inquiry Follow-up questions after a completed CrossFrame workflow

Output Principles

CrossFrame outputs should:

  • show a concise reasoning outline before the final answer
  • distinguish fact, interpretation, mechanism candidate, and judgment level
  • avoid turning structural analysis into personality judgment
  • avoid presenting uncertain claims as closure
  • keep specialist terms mostly in the background and write for ordinary readers
  • preserve evidence boundaries when discussing public, institutional, historical, or current events

License

MIT License. See LICENSE.

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