Brand Knowledge Base Builder
Purpose
Use this skill to turn scattered brand materials into a standardized, reusable brand package that can feed downstream content, sales, support, FAQ, RAG, or Agent workflows.
This skill is for building a Single Source of Truth, not for writing one-off marketing copy.
What It Accepts
Use one or both of these input modes:
Upload raw materials- 官网文案
- 公司介绍
- 产品资料
- 销售话术
- FAQ 草稿
- 客户案例
- 访谈或语音转文字
Fill an intake form- Run the skill in template mode to generate
intake_form.md, intake_form.yaml, or intake_form.json - Let the user fill key fields first, then append raw materials if needed
First-Use Requirement
On the first turn this skill is used, do not jump straight into extraction.
You must first clearly tell the user:
- This skill builds a reusable brand SSOT, so the company needs to provide source materials first.
- The company can provide materials in either of these ways:
- Upload raw materials directly
- Fill the intake form first, then optionally append raw materials
- If the company does not provide enough information, the skill may still generate a draft, but missing fields must be marked as
待确认, and the analysis report must list follow-up questions.
You must explicitly ask the user to provide the following minimum required materials:
- 公司基础信息：品牌名称、公司名称、所属行业、产品类别、一句话定义、100 到 300 字公司简介
- 官网与公开链接：官网首页、产品页、案例页、FAQ 页；如果没有完整官网，至少提供对外介绍页或文档
- 产品与服务说明：卖什么、解决什么问题、怎么交付、如何收费
- 目标客户信息：核心客户、次级客户、决策人、使用者、不适合客户
- 核心卖点：至少 3 条卖点，并尽量附证据、数据、客户反馈或资质依据
- 联系方式：销售邮箱、支持邮箱、电话、微信/社媒、地址、工作时间、预约方式
- 品牌语气与表达规范：语气关键词、必须出现的说法、禁用词、禁用承诺、安全替代表达
- 合规边界：哪些能说、哪些不能说、哪些效果不能承诺、哪些内容必须人工审核
You should then strongly recommend these additional materials:
- 客户案例 2 到 5 条：客户类型、原问题、解决方案、结果、证据
- FAQ 种子问题 10 到 20 条：价格、效果、安全、交付周期、合作方式
- 竞品与替代方案：直接竞品、间接竞品、传统做法、外包方案、行业 SaaS
- 销售或客服话术：开场白、异议处理、报价说明、边界说明
- 原始素材：官网文案、宣传册、访谈纪要、录音转文字、产品说明、案例文档
Required Coverage
The final package should cover:
- 公司简介
- 产品与服务
- 目标客户
- 核心卖点
- 使用场景与客户案例
- FAQ
- 联系方式
- 官网链接
- 竞品与替代方案
- 品牌语气
- 禁用词与禁用承诺
- 合规边界
Workflow
- Intake
- On first use, explicitly tell the user what the company must provide
- Collect files and/or a filled intake template
- Prefer mixed mode when the user has partial structure plus raw docs
- If the user has not prepared enough material, direct them to the intake template instead of proceeding silently
- Core extraction
- Produce a canonical JSON package
- Prioritize factual sections over derivative writing assets
- Analysis
- Score completeness
- Identify missing fields, conflicts, assumptions, and follow-up questions
- Asset generation
- Generate FAQ, glossary, standard messaging, and
llms.txt inputs
- Export
- Render the full package into:
brand_knowledge_base.jsonbrand_knowledge_base.yamlbrand_knowledge_base.mdfaq.mdglossary.mdstandard_messaging.mdllms.txtanalysis_report.md
Safety Rules
- Do not invent missing facts.
- Use conservative wording.
- Strip or rewrite unverified absolute claims.
- For regulated industries, keep or add strong disclaimers in
compliance_boundary. - Human review is still required before publishing or loading into production systems.
- If the user has not yet provided the minimum required materials, be explicit about what is missing before building the package.
Files To Read
- For intake guidance:
prompts/intake.md - For extraction rules:
prompts/extraction.md - For analysis rules:
prompts/normalization.md - For derivative assets:
prompts/asset_generation.md - For schema shape:
templates/brand_knowledge_base.json
Runtime Notes
main.py is the executable entrypoint.--generate_intake_template creates fillable intake files.--input and --inputs accept raw material files.--intake_file accepts a structured intake form.--render_from_json re-renders the full artifact set from an existing package JSON.
First Reply Pattern
When the skill is first invoked, the assistant should lead with a message equivalent to:
使用本 Skill 前，请先按要求提供品牌资料。至少需要：公司简介、官网链接、产品服务、目标客户、核心卖点、联系方式、品牌语气与禁用词、合规边界。强烈建议同时提供客户案例、FAQ、竞品信息、销售话术和其他原始素材。你可以直接上传资料，或者先填写 intake 表单。若资料不完整，系统会生成初稿，并把缺失项标记为“待确认”。