信息收集模拟 · Info Gathering Simulation

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    模拟信息收集过程,梳理数据源、提问清单与验证步骤,避免遗漏关键信息。 Simulate an information-gathering process with data sources, question lists, and validation steps so key information is not missed.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    信息收集模拟 · Info Gathering Simulation

    Example session with this skill installed

    请模拟一次新功能上线的用户调研信息收集,帮我列出数据源、访谈问题和验证清单。

    • Read your context and instructions
    • Compiled the info gathering simulation

    信息收集模拟完成。

    数据源清单

    1. 用户行为埋点(最近 30 天)
    2. 客服工单关键词
    3. 8 名目标用户深度访谈
    4. 竞品功能对比文档

    访谈问题

    • 你上一次遇到这个场景是怎么解决的?
    • 新功能最想解决你的哪个卡点?
    • 你能接受的付费价格区间是多少?

    验证清单

    • 样本覆盖新老用户
    • 每个结论至少两个数据源交叉验证
    • 与竞品差异点已标注

    Next steps

    1. 先跑埋点数据,确定高频路径。
    2. 访谈提纲按用户分层各准备 3 个追问。
    3. 汇总时标记每条结论的证据强度。

    Connects securely to your tools. The creator never sees your data.

    What you get

    Translate technical whitepapers into bilingual WeChat articles.Generate structured image prompts for professional corporate posts.Maintain terminology consistency across multilingual enterprise operations.Prepare JSON-ready translation outputs for Coze workflow automation.

    About this skill

    The problem

    Translating enterprise-grade WeChat Official Account (公众号) content often results in inconsistent terminology and awkward phrasing that fails professional standards. Standard translation tools lack the structural rigor needed for production environments or the specific prompt-based guidance required for accompanying visuals.

    What it does

    • Generates bilingual WeChat article content with integrated image prompting logic.
    • Maintains strict terminology consistency via a dedicated Chinese-English glossary section.
    • Structures output for immediate use in enterprise production environments like Coze.
    • Ensures technical compliance and audit-ready formatting for professional dissemination.
    • Flags uncertain information for manual verification rather than hallucinating facts.

    Frameworks & tools

    Optimized for Coze (扣子) workflows and enterprise CMS platforms. Designed to facilitate JSON-structured data transfers between agent nodes.

    Why this beats prompting it yourself

    General prompts often produce "fluffy" translations that ignore enterprise constraints or lose formatting consistency. This skill enforces a production-grade workflow that includes mandatory quality checks, terminology mapping, and audit-readiness that manual prompting lacks.

    Use cases

    • Translating technical product announcements for international corporate WeChat accounts.
    • Converting internal enterprise memos into bilingual public-facing articles with image prompts.
    • Localizing operational guides for multinational teams using the Coze ecosystem.

    Known limitations

    Requires clear input regarding target audience and goals to ensure stylistic accuracy. Best suited for structured workflow environments rather than creative fiction.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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