Agent skill

crossframe

Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions, public disputes, or long-term evolution.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill crossframe --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 173
SKILL.md size: 12 KB
Bundled scripts: none
Declared author: xi-kari
Path: skills/crossframe/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# CrossFrame ## When to Use This Skill - Use only when the user explicitly names CrossFrame, `crossframe`, `/crossframe`, `$crossframe`, or 跨尺度结构诊断. - Use for Chinese-canonical structural diagnosis where facts, scale, evidence, responsibility, mechanisms, and action limits must be separated. - Do not use passively for ordinary analysis, writing, relationship advice, public commentary, philosophy, or long-term forecasting. ## Packaged Source Note This AAS-ready copy preserves the original CrossFrame skill body below. Chinese remains the canonical semantic layer; English metadata is only for discovery, installation, and repository review. ## Limitations - The skill body is intentionally Chinese-canonical; English metadata is for discovery and does not replace the original Chinese terms. - Use only after explicit CrossFrame invocation or `crossframe-suite` routing; do not apply it as a generic default reasoning layer. - It structures analysis, drafting, and review, but does not replace source verification, domain expertise, or legal, medical, or financial judgment. 如果用户任务需要多个 CrossFrame 平行 skill 连续协作,先读取 `../crossframe-suite/SKILL.md` 做总调度;本 skill 负责其中的结构诊断、事实边界、尺度窗口、机制候选、七闸复核和判断档位。 #

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Packaged Source Note
  3. Limitations
  4. 语言原则
  5. 核心定位
  6. 必须执行的顺序
  7. 读取规则
  8. 输出规则
  9. 表达闸
  10. 推理提纲
  11. 核心资料
  12. 高风险概念闸
  13. 最低合格标准
Ships with 24 files
  • agents/openai.yaml
  • evals/crossframe-smoke-tests.md
  • examples/ai-compliance-case.md
  • examples/bad-output-vs-good-output.md
  • examples/concept-nihilism-case.md
  • examples/exit-transfer-case.md
  • examples/expression-translation-case.md
  • examples/field-dissociation-case.md
  • examples/framework-boundary-case.md
  • examples/governance-continuity-case.md
  • examples/healing-transfer-route-case.md
  • examples/high-reflexivity-case.md
  • examples/intimate-relationship-light-case.md
  • examples/large-scale-stress-case.md
  • examples/life-first-cause-case.md
  • examples/lifecycle-stage-case.md
  • examples/love-open-action-case.md
  • examples/low-condition-action-case.md
  • examples/organization-case.md
  • examples/progression-case.md
  • examples/public-institution-case.md
  • examples/public-system-case.md
  • examples/relationship-case.md
  • examples/scale-transfer-misuse-case.md
first 24 of 173
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About this skill
What does the crossframe skill do?

Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions, public disputes, or long-term evolution.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill crossframe --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going