Agent skill

Crossframe Dialogue

by sickn33 in sickn33/agentic-awesome-skills

A skill your agent uses when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice.

MITAuto-check passed

Install Crossframe Dialogue

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

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills crossframe-dialogue --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-dialogue .claude/skills/crossframe-dialogue && 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-dialogue
GitHub stars
47k
Used in
1 other repo
Token cost
~991 tokens
SKILL.md length
258 words
Files
14 (incl. references)
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice.

  • Works in 6 steps: ../crossframe/SKILL.md → ../crossframe/references/read-routing-map… → 若问题触发高责任、公共制度、亲密关系、长期演化、框架治理、AI… → …
  • CrossFrame Suite routes explicit Chinese reader replies
  • SKILL.md covers When to Use This Skill, Packaged Source Note, Limitations and 定位, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Crossframe Dialogue is an agent skill from sickn33/agentic-awesome-skills. Use when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including reference files (for example `agents/openai.yaml`, `evals/crossframe-dialogue-smoke-tests.md` and `examples/boundary-high-responsibility.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

  • CrossFrame Suite routes explicit Chinese reader replies
  • Editor responses
  • Consultation-style short answers
  • Boundary-aware structural advice

Example prompts

  • “/crossframe-dialogue”

Workflow steps

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

  1. ../crossframe/SKILL.md
  2. ../crossframe/references/read-routing-map.md
  3. 若问题触发高责任、公共制度、亲密关系、长期演化、框架治理、AI 现实验证、弱信号/不透明、无法退出、工具化、隐喻/来源透明或文章输出,追加读取 ../crossframe/references/continuity-bundles.md,并按需使用…
  4. 复用 ../crossframe/templates/read-state-capsule.md 规定的 v5-read-state-capsule,并在高责任、公共、AI/过程性产物、生命周期、无法退出主体或文章输出场景执行…
  5. protocols/dialogue-protocol.md
  6. references/dialogue-quality-gates.md

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. 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 Dialogue loads about 991 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 258 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~991
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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 680176d, republished under its MIT licence (© sickn33). 258 words, ~991 tokens.

Download SKILL.mdSave it as .claude/skills/crossframe-dialogue/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
crossframe-dialogue
description
Use when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice.
category
content
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 Dialogue

When to Use This Skill

  • Use when crossframe-suite routes an explicit CrossFrame task into a reader reply, editor response, consultation-style short answer, or boundary-aware advice.
  • Use when the answer should first translate structural judgment into plain Chinese before optional term mapping.
  • Do not use independently unless the user explicitly names this sibling skill.

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.

本 skill 不独立触发。 所有 CrossFrame 任务统一从 crossframe-suite 入口调度。用户无需直接调用本 skill;suite 根据路由规则在需要时自动加载。

如果用户要把短答复扩成长文、公共评论、组织备忘录或案例沉淀,先读取 ../crossframe-suite/SKILL.md 做总调度;本 skill 只负责短答复、编辑回信和咨询式回应。

定位

crossframe-dialogue 是 crossframe 与 crossframe-essay 的平行短答复 skill。它不复制 CrossFrame 全文,不写长文,不把咨询式回应伪装成处方。默认输出短而有洞察的结构答复:接住问题、事实边界、结构判断、必要批评、稳妥建议、停止/升级条件。

中文是权威语义;CrossFrame Dialogue 只是传播名和 skill id。遇到中英文理解冲突时,以中文术语和中文判断为准。

必读

每次触发后先读取:

  1. ../crossframe/SKILL.md
  2. ../crossframe/references/read-routing-map.md
  3. 若问题触发高责任、公共制度、亲密关系、长期演化、框架治理、AI 现实验证、弱信号/不透明、无法退出、工具化、隐喻/来源透明或文章输出,追加读取 ../crossframe/references/continuity-bundles.md,并按需使用 ../crossframe/worksheets/source-continuity-check.md;未完成联读时只能降档。
  4. 复用 ../crossframe/templates/read-state-capsule.md 规定的 v5-read-state-capsule,并在高责任、公共、AI/过程性产物、生命周期、无法退出主体或文章输出场景执行 ../crossframe/worksheets/source-anchor-integrity-check.md。如果胶囊缺失,回到 ../crossframe/SKILL.md 补齐;本 skill 不重新发明源路由。
  5. protocols/dialogue-protocol.md
  6. references/dialogue-quality-gates.md

如果用户要求亲切、编辑、同志口吻、答读者问、报刊回信、耐心解答、给意见,或问题天然像读者来信,再按需读取:

  • ../crossframe-essay/SKILL.md
  • ../crossframe-essay/protocols/editorial-comrade-voice-protocol.md
  • ../crossframe-essay/references/editorial-voice-principles.md
  • references/voice-bridge.md

如果涉及安全、法律、医疗心理、公开指控、处分、名誉、公共资源、强权力关系或紧急伤害风险,读取 protocols/consultation-boundary-protocol.md。

默认流程

  1. 判断回应类型:答读者问、编辑回信、咨询式回应、公共问题短评、概念问答、行动边界建议。
  2. 用 ../crossframe/references/read-routing-map.md 选择必要 CrossFrame protocol、概念卡、模板或边界协议。
  3. 做内部微型 intake:对象、事实边界、证据缺口、尺度窗口、机制候选、责任链/成本链、用户真正用途。
  4. 至少比较两个机制候选;证据不足时降低判断档位,不硬判。
  5. 把后台概念翻译成现实行为;术语只作为必要映射,不在前台堆叠。
  6. 输出短答复;除非用户要求,不展示完整工作表、长文底稿或概念链。

默认输出

默认 4 到 8 个短段,或使用 templates/default-short-answer.md:

  • 先接住问题:说明困惑为什么值得认真对待。
  • 再划事实边界:哪些是已知,哪些只是推测。
  • 给结构判断:现在更像哪类机制,而不是谁天生如何。
  • 必要时批评:批评行为、流程、责任转嫁或伪修复,不做人格审判。
  • 给稳妥建议:观察信号、低风险动作、修复条件、边界设置或退出转移。
  • 写停止/升级条件:什么情况下不要再解释、需要求助、升级到专业/制度/安全路径,或撤回本判断。

硬规则

  • 不输出“只安慰不判断”的答复。
  • 不把结构诊断写成人格审判、道德宣判、命运预言或群体标签。
  • 不用术语堆砌替代现实解释;第一段删掉术语后仍必须成立。
  • 不把“爱”“理解”“修复”写成单方继续忍耐的义务。
  • 不把 AI 报告、合规文本、道歉、复盘、声明或流程入口直接当作高成本证据。
  • 不在证据不足时给强处分、公开指控、法律/医疗/心理处方或不可逆建议。
  • 不用宏大尺度取消低尺度痛苦、责任、证据和行动边界。

失败自检

输出前快速检查:

  1. 我有没有接住问题,但没有停在安慰?
  2. 我有没有区分事实、解释、机制候选和判断档位?
  3. 我有没有把批评指向行为/结构/责任链,而不是人格?
  4. 我有没有给出可观察信号、低风险动作、停止条件或升级条件?
  5. 删掉术语后,读者还能不能知道该看什么、别做什么?

© 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 13 other files (references) in skills/crossframe-dialogue of sickn33/agentic-awesome-skills.

  • SKILL.md
  • agents/openai.yaml
  • evals/crossframe-dialogue-smoke-tests.md
  • examples/boundary-high-responsibility.md
  • examples/failure-modes.md
  • examples/normal-reader-question.md
  • protocols/consultation-boundary-protocol.md
  • protocols/dialogue-protocol.md
  • references/dialogue-quality-gates.md
  • references/failure-patterns.md
  • references/voice-bridge.md
  • templates/consultation-response-template.md
  • templates/default-short-answer.md
  • templates/reader-reply-template.md

Open the folder on GitHubat commit 680176d

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

Crossframe Dialogue next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Crossframe Dialogue compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Crossframe Dialogue this skillsickn33/agentic-awesome-skills47k1 repos~991Automated safety check: PassMIT
OmniRoute Routing CLIdiegosouzapw/OmniRoute74k—~342Automated safety check: PassMIT
OmniRoute Combo Routingdiegosouzapw/OmniRoute74k—~2.1kAutomated safety check: PassMIT
Intelligence Routeruvnet/ruflo74k—~874Automated safety check: NotesMIT
Bilingual Paper ReaderYuan1z0825/nature-skills47k—~961Automated safety check: PassApache-2.0
Agent Benchmark Suiteruvnet/ruflo74k2 repos~4.9kAutomated safety check: PassMIT

Similar skills

  • OmniRoute Routing CLI

    diegosouzapw/OmniRoute

    Creates, switches, and inspects OmniRoute model-routing combos, plus a suggestion command with cost and latency constraints.

    74k GitHub stars~342 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • OmniRoute Combo Routing

    diegosouzapw/OmniRoute

    Manages OmniRoute routing combos through its REST API: create and update combos, choose from 19 strategies, set fallback chains, test outcomes and read metrics.

    74k GitHub stars~2.1k tokensUpdated yesterday
    Backend & APIsAuto-check passed
  • Intelligence Route

    ruvnet/ruflo

    Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooksexplain

    74k GitHub stars~874 tokensUpdated today
    DevelopmentAuto-check: notes
  • Bilingual Paper Reader

    Yuan1z0825/nature-skills

    Creates a source-grounded Chinese-English reader for a research paper, with aligned text, figures, tables and equations, or answers questions about a given passage.

    47k GitHub stars~961 tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Agent skill for benchmark-suite - invoke with $agent-benchmark-suite

    74k GitHub starsUsed in 2 repos~4.9k tokens
    Agent WorkflowsAuto-check passed
  • Reply Automation

    ComposioHQ/awesome-claude-skills

    Automate Reply tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.

    77k GitHub starsUsed in 3 repos~723 tokens
    Productivity & AutomationAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,493 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • 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
  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k 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

Questions about Crossframe Dialogue

What does Crossframe Dialogue do?

A skill your agent uses when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice. Crossframe Dialogue is an agent skill from sickn33/agentic-awesome-skills. Use when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice.

When should I use Crossframe Dialogue?

Crossframe Dialogue fits situations like: crossFrame Suite routes explicit Chinese reader replies; editor responses; consultation-style short answers; boundary-aware structural advice.

How do I install Crossframe Dialogue in Claude Code?

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

How do I install Crossframe Dialogue in Codex?

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

Can I use Crossframe Dialogue 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-dialogue -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-dialogue, .gemini/skills/crossframe-dialogue, .github/skills/crossframe-dialogue and .opencode/skills/crossframe-dialogue in your project.

What does Crossframe Dialogue need to run?

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

Does Crossframe Dialogue 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 Dialogue 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 Dialogue use?

Crossframe Dialogue 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 Dialogue use?

About 991 tokens (SKILL.md is roughly 4k 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 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Crossframe Dialogue?

Skills that share tags, products or a category with Crossframe Dialogue: OmniRoute Routing CLI (diegosouzapw/OmniRoute, 74k stars), OmniRoute Combo Routing (diegosouzapw/OmniRoute, 74k stars), Intelligence Route (ruvnet/ruflo, 74k stars) and Bilingual Paper Reader (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Crossframe Dialogue?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 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.