Interaction
QinghongLin/data2story-skill
Build the curated interactive SET the Editor approved: the ONE narrative-bound hero centerpiece (an explorable/scrollytelling that makes the reader PRODUCE the lead finding) PLUS the ranked…
定义与用户之间的交互策略：何时反问、何时直接执行、何时交付结果。在任何需要判断"是否该停下来和用户沟通"的场景中参考本 skill。
Apache-2.0Auto-check passed
Install Interaction Strategy
$ npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data interaction-strategy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy .claude/skills/interaction-strategy && rm -rf skills-srcUse ~/.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/
Install the "interaction-strategy" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy into .claude/skills/interaction-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interaction-strategy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data interaction-strategy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy .agents/skills/interaction-strategy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "interaction-strategy" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy into .agents/skills/interaction-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interaction-strategy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data interaction-strategy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy .cursor/skills/interaction-strategy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "interaction-strategy" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy into .cursor/skills/interaction-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interaction-strategy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentscope-ai/QwenPaw-Data.git --path packages/qwenpaw-data-skills/skills/runtime/interaction-strategy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data interaction-strategy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy .gemini/skills/interaction-strategy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "interaction-strategy" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy into .gemini/skills/interaction-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interaction-strategy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentscope-ai/QwenPaw-Data interaction-strategyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy .github/skills/interaction-strategy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "interaction-strategy" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy into .github/skills/interaction-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interaction-strategy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data interaction-strategy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy .opencode/skills/interaction-strategy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "interaction-strategy" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/runtime/interaction-strategy into .opencode/skills/interaction-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interaction-strategy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
interaction-strategy- GitHub stars
- 113
- Token cost
- ~407 tokens
- SKILL.md length
- 94 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
定义与用户之间的交互策略：何时反问、何时直接执行、何时交付结果。在任何需要判断"是否该停下来和用户沟通"的场景中参考本 skill。
- Works in 3 steps: 调用可用的 MCP 语义层工具（search_context /… → 如果返回结果可以消除歧义 → 不反问，直接使用 → 如果工具不可用或返回结果仍无法消歧 → 触发反问
- SKILL.md covers 核心原则, 三类人机交互, 反问前置要求 and 反问格式
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Interaction Strategy is an agent skill from agentscope-ai/QwenPaw-Data. 定义与用户之间的交互策略：何时反问、何时直接执行、何时交付结果。在任何需要判断"是否该停下来和用户沟通"的场景中参考本 skill。
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host). The licence is Apache-2.0.
Example prompts
- “是否该停下来和用户沟通”
- “/interaction-strategy”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 调用可用的 MCP 语义层工具（search_context / get_domain_overview / list_metrics）
- 如果返回结果可以消除歧义 → 不反问，直接使用
- 如果工具不可用或返回结果仍无法消歧 → 触发反问
What it can do on your machine
Read from SKILL.md and the folder at commit e0bae36. 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
Interaction Strategy loads about 407 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 94 words of instructions outside code blocks.
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 agentscope-ai/QwenPaw-Data at commit e0bae36, republished under its Apache-2.0 licence (© agentscope-ai). 94 words, ~407 tokens.
Download SKILL.mdSave it as
.claude/skills/interaction-strategy/SKILL.md (or your agent's skills folder).- name
- interaction-strategy
- description
- 定义与用户之间的交互策略：何时反问、何时直接执行、何时交付结果。在任何需要判断"是否该停下来和用户沟通"的场景中参考本 skill。
interaction-strategy
核心原则
默认行为是行动，反问是例外。 用户发出请求后，agent 应尽最大努力独立推进任务，只在明确无法继续时才停下来和用户沟通。
三类人机交互
与用户的交互仅限以下三种场景：
Type 1：求助 / 求信息
agent 遇到无法自行解决的阻塞时，向用户请求帮助或补充信息。
触发条件（必须同时满足）：
- 当前信息确实不足以继续执行
- 已尝试通过可用工具自行获取（MCP 语义层、search_context 等）
- 自排障尝试已达上限（见下方"反问前置要求"）
触发时机：
- Plan 构建前：必要信息缺失（指标歧义、分析范围不明确等），无法构建可执行 plan
- 执行中：节点遇到不可自解的阻塞（关键数据不可用、权限不足、业务逻辑矛盾等）
Type 2：用户显式要求确认计划
用户主动表达“先看看计划”的意图时，或任务涉及报告且报告结构有多种可能时，在 create_plan 后停下来展示计划并等待确认。
触发条件（满足任一）：
- 用户消息中包含显式的计划确认意图：“先规划一下”“先做个计划”“帮我列一下步骤”“你打算怎么做”“别急着做，先说说思路”
- 用户请求明确涉及“报告”且报告结构有多种可能（如未指定报告维度、章节、受众）
未触发时的默认行为：create_plan 后直接开始执行，不停轮。
触发后的行为：输出计划概览 + 关键决策点，以“如无问题我将开始执行”结尾。不调用任何工具，让本轮自然结束等用户回复。
Type 3：交付结果
任务完成时，向用户返回分析结论和产出物。
反问前置要求
在触发 Type 1 反问之前，必须先尝试自行解决：
Plan 构建前
- 调用可用的 MCP 语义层工具（
search_context/get_domain_overview/list_metrics） - 如果返回结果可以消除歧义 → 不反问，直接使用
- 如果工具不可用或返回结果仍无法消歧 → 触发反问
执行中
- 分析报错信息，尝试调整参数/策略重试（如换一种维度筛选方式）
- 查看是否有替代数据源或等价指标
- 最多重试 2 轮 不同策略
- 仍无法解决 → 通过
revise_current_plan调整受影响节点，或停下来向用户求助
不允许反问的场景
- 数据表选择有多个候选但 skill 已定义优先级 → 按优先级执行
- 聚合粒度未指定 → 使用 skill 默认值并在回复中说明
- 精确名称唯一匹配一个指标 → 直接使用
反问格式
反问时遵循以下原则：
- 说明已知：先告诉用户你已经了解到什么（让用户知道你不是什么都没做就来问）
- 精准提问：只问真正缺失的一个核心问题（不要一次问多个问题）
- 提供选项：如果可能的候选是有限集，列出选项让用户选择
- 说明影响：简述这个信息缺失会如何影响后续分析
示例：
通过语义层查询，我找到了两个匹配的指标：
- **visit_usercnt_1d**：访问用户数（包含未登录用户）
- **visit_login_usercnt_1d**：登录访问用户数
它们的区别在于是否包含未登录用户。你分析的"用户数"指的是哪一个？© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in packages/qwenpaw-data-skills/skills/runtime/interaction-strategy of agentscope-ai/QwenPaw-Data.
Open the folder on GitHubat commit e0bae36
Compare with similar skills
Interaction Strategy 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Interaction Strategy this skillagentscope-ai/QwenPaw-Data | 113 | — | ~407 | Automated safety check: Pass | Apache-2.0 | |
| InteractionQinghongLin/data2story-skill | 156 | — | ~3k | Automated safety check: Notes | MIT | |
| Remotion Interactivityremotion-dev/remotion | 62k | 5 repos | ~4.8k | Automated safety check: Pass | Custom licence | |
| Firecrawl Interact Integrationfirecrawl/firecrawl | 190k | 1 repos | ~731 | Automated safety check: Pass | ISC | |
| Interaction To Next Paintthedaviddias/Front-End-Checklist | 74k | — | ~441 | Automated safety check: Pass | MIT | |
| Create Issue Interaction UIpaperclipai/paperclip | 99k | — | ~3.4k | Automated safety check: Pass | MIT |
Similar skills
- Official
Remotion Interactivity
remotion-dev/remotion
Structure Remotion markup for interactivity. An agent skill from remotion-dev/remotion.
Firecrawl Interact Integration
firecrawl/firecrawl
Guides adding Firecrawl's /interact endpoint to product code for pages that need clicks, forms, pagination or logged-in flows beyond plain scraping.
Interaction To Next Paint
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Optimize interaction to next paint.
Create Issue Interaction UI
paperclipai/paperclip
Add a new Paperclip issue-thread interaction kind end-to-end.
Gemini Interactions API
sickn33/agentic-awesome-skills
Build with the Gemini Interactions API for text, chat, multimodal generation, streaming, managed or background agents, function calling, structured output, and generateContent migrations.
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Questions about Interaction Strategy
What does Interaction Strategy do?
定义与用户之间的交互策略：何时反问、何时直接执行、何时交付结果。在任何需要判断"是否该停下来和用户沟通"的场景中参考本 skill。. Interaction Strategy is an agent skill from agentscope-ai/QwenPaw-Data.
How do I install Interaction Strategy in Claude Code?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/runtime/interaction-strategy in agentscope-ai/QwenPaw-Data) into .claude/skills/interaction-strategy in your project. Claude Code loads it when a task matches its description.
How do I install Interaction Strategy in Codex?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill interaction-strategy -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/runtime/interaction-strategy in agentscope-ai/QwenPaw-Data) into .agents/skills/interaction-strategy in your project. Codex loads it when a task matches its description.
Can I use Interaction Strategy 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 agentscope-ai/QwenPaw-Data --skill interaction-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interaction-strategy, .gemini/skills/interaction-strategy, .github/skills/interaction-strategy and .opencode/skills/interaction-strategy in your project.
What does Interaction Strategy need to run?
SKILL.md names no scripts, command-line tools or credentials: Interaction Strategy is instructions for the agent only.
Does Interaction Strategy 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 Interaction Strategy 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 Interaction Strategy use?
Interaction Strategy is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Interaction Strategy use?
About 407 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Interaction Strategy?
Skills that share tags, products or a category with Interaction Strategy: Interaction (QinghongLin/data2story-skill, 156 stars), Remotion Interactivity (remotion-dev/remotion, 62k stars), Firecrawl Interact Integration (firecrawl/firecrawl, 190k stars) and Interaction To Next Paint (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Interaction Strategy?
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 113 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 5, 2026.
Source: agentscope-ai/QwenPaw-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.