Agent skill

Crossframe Suite

by sickn33 in sickn33/agentic-awesome-skills

A skill your agent uses when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or…

MITAuto-check passed

Install Crossframe Suite

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe-suite -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills crossframe-suite --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/crossframe-suite .claude/skills/crossframe-suite && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
crossframe-suite
GitHub stars
47k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
389 words
Files
12 (incl. references)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or…

  • Works in 3 steps: 判断用户任务属于哪条工作流。 → 安排连续读取顺序。 → 输出一个简短的调度提纲,然后进入相应 skill。
  • The user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships
  • SKILL.md covers When to Use This Skill, Packaged Source Note, Limitations and 显式调用后的总入口, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Crossframe Suite is an agent skill from sickn33/agentic-awesome-skills. Use when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or essay output.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including reference files (for example `agents/openai.yaml`, `evals/crossframe-suite-smoke-tests.md` and `examples/bad-overtrigger-case.md`).

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • The user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships

Example prompts

  • “/crossframe-suite”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 判断用户任务属于哪条工作流。
  2. 安排连续读取顺序。
  3. 输出一个简短的调度提纲,然后进入相应 skill。

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Crossframe Suite loads about 2k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 389 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 389 words, ~1,966 tokens.

Download SKILL.mdSave it as .claude/skills/crossframe-suite/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
crossframe-suite
description
Use when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or essay output.
category
workflow
risk
safe
source
community
source_repo
xi-kari/crossframe-skill
source_type
community
date_added
2026-06-16
author
xi-kari
license
MIT
license_source
https://github.com/xi-kari/crossframe-skill/blob/main/LICENSE
tools
Agent Skills, Codex, Claude

CrossFrame Suite

When to Use This Skill

  • Use only when the user explicitly names CrossFrame Suite, crossframe-suite, /crossframe-suite, or $crossframe-suite.
  • Use as the umbrella router when a CrossFrame task may need multiple sibling skills, such as diagnosis plus public analysis, essay output, and review.
  • Do not load every sibling skill by default; follow the routed workflow and progressive-reading rules in the original body below.

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.

crossframe-suite 是总调度 skill,不替代任何专项 skill。它只做三件事:

  1. 判断用户任务属于哪条工作流。
  2. 安排连续读取顺序。
  3. 输出一个简短的调度提纲,然后进入相应 skill。

它不复制 crossframe、crossframe-essay 或其它平行 skill 的正文。中文为权威语义;英文只作 skill id、文件名和对外传播名。

当任务触发 CrossFrame 主体时,suite 还要把 ../crossframe/references/runtime-read-policy.md 与 ../crossframe/references/continuity-closure-map.md 纳入调度判断:本次是否需要按 v5.0 原文连续板块联读,而不是只读单个概念卡。需要包说明或源锚点时,再由下游定向读取 continuity-bundles.md 或具体包文件。v3.0 与 v2.0 文件只作为历史基线;默认以 v5.0 源结构为准。

suite 入口的交互选择只确认两项:输出模式与角色。文章类型不在 suite 开头选择;若最终进入 crossframe-essay 且文章层未关闭,先完成问题拆解与结构洞察底稿,再由 crossframe-essay/templates/article-type-selection-dialog.md 在正文生成前单独确认。

显式调用后的总入口

只有用户显式调用 crossframe-suite、$crossframe-suite、/crossframe-suite 或明确要求使用 CrossFrame Suite 时,才从本 skill 进入。进入之后,优先由本 skill 调度;只有任务非常单一且用户点名了专项 skill 时,才直接使用对应专项 skill。

当用户通过本 skill 作为总入口提出任何 CrossFrame 内容任务时,默认最终都生成5.0 混合长文,输出档位为 full-visible-v5-longform:完整可见底稿 + 完整长文正文。专项产物可以先生成,但最后默认进入文章层。

text
crossframe -> [needed sibling skills] -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

这条默认不是为了把所有回答写长,而是因为文章更适合把结构判断、专项产物和 v5.0 保真检查交给普通读者:先完成必要的诊断/评审/案例/教学/辩论/备忘录,再形成底稿,再成文,最后过质量闸。

完整交互顺序固定为:/crossframe-suite -> 模式/角色选择器(4+6) -> suite 路由与专项拆解 -> 结构洞察底稿 -> 文章类型选择器 -> 写作技法读取 -> 文章正文 -> 质量闸收束。文章类型选择器必须发生在结构洞察底稿之后、文章正文之前。

这条默认不直接把固定声口传给 crossframe-essay。声口由 references/output-mode-selector.md 中的角色、输出模式与 topic_sensitivity 共同决定:学术专家/批判反思者默认中性分析体,大众传播/未来探索者可启用编辑底色;用户显式要求“亲切/编辑口吻/答复体”时覆盖。中性分析体不是冷淡体,vulnerable 主题仍要先接住人。

full-visible-v5-longform 的意思是:v5.0 连续联读包、源结构保真、概念风险和反向条件要在底稿中可见;但这些后台检查不能吞掉正文。正文仍必须写成完整文章,有标题、铺陈、概念上升、现实回落、边界和余味。

crossframe-review 是质量闸,不是默认成文链路的最终写作者。只要文章层未关闭,最终可见交付必须仍然包含 # 结构洞察底稿 和 # 文章正文;质量闸通过时只追加极短结论或内部通过,不得只输出评审报告。只有用户明确要求“只要评审/完整评审报告/不要文章”,或质量闸发现硬失败且必须阻断发布时,才允许把评审报告作为主输出。

只有在用户明确说“只要/不要文章/不要成文/短答/三句话/表格/清单/原始评审/原始案例库/原始备忘录/纯诊断/仅行动方案”时,才关闭默认文章层。此时应保留用户指定的交付物。

Show full SKILL.md (144 more words)Show less

何时使用

当任务不是单一诊断,而可能需要多个 CrossFrame skill 连续协作时,优先使用本 skill:

  • 用户希望使用 CrossFrame,但没有指定具体子 skill。
  • 用户只说“分析一下/怎么看/讲讲/写一下”,且更像想看一段可读输出。
  • 写文章、评论、思想文章、公共评论、组织复盘文章。
  • 答读者问、编辑回信、咨询式回应,但问题背后有结构诊断。
  • 把材料整理成案例,再写分析或沉淀概念。
  • 读书、理论、文章研究笔记,需要比较与 CrossFrame 的关联和不同。
  • 命题辩论后需要成文、给结论或写反驳。
  • 先生成输出,再评审它是否真的推理。
  • 用户说“这些 skill 应该一起用”“连续触发”“总规则”“总入口”“怎么组合调用”。

若任务非常单一,直接使用对应专项 skill,不要绕行:

  • 只要结构诊断:../crossframe/SKILL.md
  • 只要文章:../crossframe-essay/SKILL.md
  • 只要评审:../crossframe-review/SKILL.md
  • 只要短答复:../crossframe-dialogue/SKILL.md
  • 只要案例库:../crossframe-casebook/SKILL.md
  • 只要公共议题证据边界:../crossframe-public/SKILL.md
  • 只要组织修复备忘录:../crossframe-org/SKILL.md
  • 只要概念教学:../crossframe-teach/SKILL.md
  • 只要命题论证:../crossframe-debate/SKILL.md
  • 只要读书研究笔记:../crossframe-notebook/SKILL.md

必须读取

每次触发后读取:

  1. references/output-mode-selector.md
  2. references/workflow-routing-map.md
  3. protocols/suite-dispatch-protocol.md
  4. templates/suite-reasoning-outline.md

然后按路由读取对应 sibling skill。基础结构判断通常先读 ../crossframe/SKILL.md 与 ../crossframe/references/read-routing-map.md。

调度原则

  • 基础先行:多数复杂任务先由 crossframe 建立事实边界、尺度窗口、机制候选和判断档位。
  • 场景追加:只读取本次必要的专项 skill,不把全部 skill 一起触发。
  • 成文后置:写文章前先有结构洞察底稿;公共、组织、辩论、读书等专项判断先完成,再进入 crossframe-essay。
  • 默认成文:suite 被触发时,最终输出默认走 crossframe-essay,输出档位固定为 full-visible-v5-longform;专项产物先做,文章后置。
  • 模式/角色先行:suite 开头只确认输出模式与角色;没有触发词时展示 templates/mode-selection-dialog.md 并等待回复,不直接开始。
  • 文章类型后置:文章类型只在进入 crossframe-essay 后、结构洞察底稿生成后确认;它决定文章表达形态和写作技法读取,不改变 suite 的主路由。
  • 胶囊归属:suite 只传入 selection_state、workflow_state、voice_mode 和文章层开关;不得读取 v5 源索引、不得展开连读包、不得生成 v5-read-state-capsule。胶囊由 crossframe 核心层在命中 source modules、入口包和必须同读闭包后生成。
  • 声口由角色决定:suite 默认成文时,根据 output-mode-selector.md 将 voice_mode 和 topic_sensitivity 传给 crossframe-essay。用户显式要求“亲切/编辑口吻/答复体”时覆盖。
  • 长文契约:任何从 suite 进入、且未显式关闭文章层的 CrossFrame 内容任务,默认不是短答,不得用项目符号诊断、摘要式回答或“如果只要一句话”替代完整正文。
  • 成文边界:默认对所有 CrossFrame 内容任务成文;只有用户用“只要/不要文章/短答/表格/清单/纯诊断/仅行动方案”等词明确关闭时,才关闭文章层。
  • 源连续性:高责任、公共制度、亲密关系、长期演化、深度分析、框架治理、AI 现实验证、弱信号/不透明、无法退出和文章输出,要在调度中列出本次触发的 v5.0 连续联读包;不要只列概念卡。
  • 源锚点完整性:凡进入文章层、高责任、公共制度、AI/过程性产物、生命周期、无法退出主体或框架治理时,调度提纲要要求下游复用 v5-read-state-capsule 并执行源锚点完整性检查。
  • 评审收束:重要输出默认最后用 crossframe-review 做质量闸;质量闸不得接管最终输出或吞掉底稿/正文。轻量短答复可只做内部自检。
  • 查源克制:公共议题、真实机构、平台、政策、人物、公司和最新事实要查源;私人关系、哲学泛论、用户自给材料默认不查源。
  • 人话优先:最终输出先给普通人能读懂的结果,术语只做必要映射。

默认连续链路

text
结构诊断:
crossframe -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

开放式可读分析:
crossframe -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

普通洞察文章:
crossframe -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

公共评论文章:
crossframe -> crossframe-public -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

组织复盘/修复文章:
crossframe -> crossframe-org -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

答读者问/编辑回信:
crossframe -> crossframe-dialogue -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

案例沉淀:
crossframe -> crossframe-casebook -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

概念教学:
crossframe -> crossframe-teach -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

命题辩论:
crossframe -> crossframe-debate -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

辩论后成文:
crossframe -> crossframe-debate -> crossframe-essay -> crossframe-review

读书/理论研究:
crossframe -> crossframe-notebook -> crossframe-essay(full-visible-v5-longform) -> crossframe-review

读书后成文:
crossframe -> crossframe-notebook -> crossframe-essay -> crossframe-review

进入 crossframe-essay 后先生成结构洞察底稿,再执行文章类型选择规则:用户已显式指定文章类型时在底稿中记录并直接采用;用户未指定且文章层开启时,基于底稿展示 ../crossframe-essay/templates/article-type-selection-dialog.md;用户回复“默认/自动/都行”时采用底稿推荐项;用户明确关闭文章层时不展示。

crossframe-review-lite 表示不必输出完整评审报告,但必须检查:是否跳过事实边界、是否人格审判、是否概念堆砌、是否越过证据档位。

输出方式

除非用户只问“该用哪个 skill”,否则最终输出先给一个短调度提纲:

text
调度提纲
- 任务类型:
- 输出模式与角色:
- 工作流:
- 必读 skill:
- 按需读取:
- 连续联读包:
- 主题敏感度:
- 正文声口:
- 文章类型:
- 输出档位:
- 不读取:
- 质量闸:

然后进入对应 skill 的正常输出。不要把调度提纲写得比任务本身还长。

禁止

  • 禁止为了显得完整而触发全部 skill。
  • 禁止跳过 crossframe 的事实边界和判断档位直接写文章。
  • 禁止公共议题不查源却做强判断。
  • 禁止把 crossframe-review 当作形式收尾;它必须能否决坏输出。
  • 禁止在 suite 默认成文链路中只输出质量闸、评审结论或修复建议,而隐藏 结构洞察底稿 和 文章正文。
  • 禁止让调度规则取代专项 skill 的协议。

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (references) in skills/crossframe-suite of sickn33/agentic-awesome-skills.

  • SKILL.md
  • agents/openai.yaml
  • evals/crossframe-suite-smoke-tests.md
  • examples/bad-overtrigger-case.md
  • examples/essay-workflow-case.md
  • examples/public-comment-workflow-case.md
  • examples/reader-reply-workflow-case.md
  • protocols/suite-dispatch-protocol.md
  • references/output-mode-selector.md
  • references/workflow-routing-map.md
  • templates/mode-selection-dialog.md
  • templates/suite-reasoning-outline.md

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Crossframe Suite compared with similar skills
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Bio Structural Biology Modern Structure PredictionFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2.5kAutomated safety check: PassNone
List Structurethedaviddias/Front-End-Checklist74k—~438Automated safety check: PassMIT

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  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed
  • Content Creator

    sickn33/agentic-awesome-skills

    Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Questions about Crossframe Suite

What does Crossframe Suite do?

A skill your agent uses when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or…. Crossframe Suite is an agent skill from sickn33/agentic-awesome-skills. Use when the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships, organizations, public issues, philosophy, research, or essay output.

When should I use Crossframe Suite?

Crossframe Suite fits situations like: the user explicitly invokes CrossFrame Suite for Chinese structural diagnosis workflows across relationships.

How do I install Crossframe Suite in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill crossframe-suite -a claude-code`. Or copy the skill folder (skills/crossframe-suite in sickn33/agentic-awesome-skills) into .claude/skills/crossframe-suite in your project. Claude Code loads it when a task matches its description.

How do I install Crossframe Suite in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill crossframe-suite -a codex`. Or copy the skill folder (skills/crossframe-suite in sickn33/agentic-awesome-skills) into .agents/skills/crossframe-suite in your project. Codex loads it when a task matches its description.

Can I use Crossframe Suite in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill crossframe-suite -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crossframe-suite, .gemini/skills/crossframe-suite, .github/skills/crossframe-suite and .opencode/skills/crossframe-suite in your project.

What does Crossframe Suite need to run?

SKILL.md names no scripts, command-line tools or credentials: Crossframe Suite is instructions for the agent only.

Does Crossframe Suite access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Crossframe Suite safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Crossframe Suite use?

Crossframe Suite is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Crossframe Suite use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.6k tokens, read only when the agent opens those files.

What are the alternatives to Crossframe Suite?

Skills that share tags, products or a category with Crossframe Suite: No Explicit Any (thedaviddias/Front-End-Checklist, 74k stars), Agent Benchmark Suite (ruvnet/ruflo, 74k stars), Structured Data (thedaviddias/Front-End-Checklist, 74k stars) and Bio Structural Biology Modern Structure Prediction (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Crossframe Suite?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.