Agent skill

Brand Persona Knowledge Builder

by limecloud in limecloud/lime

将品牌定位、价值观、受众画像、语气风格、内容样例、危机回应和表达禁区,整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的品牌人设知识库。适用于用户要求“整理品牌人设”“沉淀品牌口吻”“把品牌资料变成可复用语气库”“维护品牌 persona pack”的场景。

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Brand Persona Knowledge Builder

skills CLI
$ npx skills add limecloud/lime --skill brand-persona-knowledge-builder -a claude-code

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

GitHub CLI
$ gh skill install limecloud/lime brand-persona-knowledge-builder --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/limecloud/lime.git skills-src && mkdir -p .claude/skills && cp -r skills-src/lime-rs/resources/default-skills/brand-persona-knowledge-builder .claude/skills/brand-persona-knowledge-builder && 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
brand-persona-knowledge-builder
GitHub stars
1.5k
Token cost
~768 tokens
SKILL.md length
135 words
Files
5 (incl. references)
Skills in repo
18
Repo updated
First seen
Licence
Apache-2.0

At a glance

将品牌定位、价值观、受众画像、语气风格、内容样例、危机回应和表达禁区,整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的品牌人设知识库。适用于用户要求“整理品牌人设”“沉淀品牌口吻”“把品牌资料变成可复用语气库”“维护品牌 persona pack”的场景。

  • Works in 7 steps: 先盘点输入资料:品牌手册、官网文案、历史内容、客服话术、创始人访谈、用户评价、危机… → 读取… → 读取… → …
  • Business, Finance & HR work in your project
  • SKILL.md covers 核心目标, 与 Agent Knowledge 的分工, 工作流 and Lime Runtime Binding 契约, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Brand Persona Knowledge Builder is an agent skill from limecloud/lime. 将品牌定位、价值观、受众画像、语气风格、内容样例、危机回应和表达禁区,整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的品牌人设知识库。适用于用户要求“整理品牌人设”“沉淀品牌口吻”“把品牌资料变成可复用语气库”“维护品牌 persona pack”的场景。

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/brand-persona-template.md` and `references/interview-questions.md`). Compatibility notes: Agent Knowledge =0.6.0

It sits in Business, Finance & HR. The repository describes itself as: Full-stack AI agent for coding, files, terminals, tools, research, content, multimodal work, and multi-agent workflows. The licence is Apache-2.0.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “整理品牌人设”
  • “沉淀品牌口吻”
  • “把品牌资料变成可复用语气库”
  • “/brand-persona-knowledge-builder”

Requirements

  • Compatibility (from SKILL.md): Agent Knowledge >=0.6.0
  • Pre-approved tools (allowed-tools): list_directory, read_file

Workflow steps

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

  1. 先盘点输入资料:品牌手册、官网文案、历史内容、客服话术、创始人访谈、用户评价、危机案例和禁用词。
  2. 读取 references/brand-persona-template.md,按固定章节生成知识库。
  3. 读取 references/interview-questions.md,识别缺失的品牌定位、受众、语气和边界信息。
  4. 缺少关键事实、品牌承诺、目标受众或表达边界时,先问用户补齐;如果用户要求先生成,则用 待补充 标注,不要编造。
  5. 提炼品牌内核、受众关系、声音语气、表达模式、标志性表达、内容样例、危机回应和禁止表达。
  6. 用 references/quality-checklist.md 自检,必要时补一节“待补充信息清单”。
  7. 返回符合 Lime Runtime Binding 契约的 JSON,供 App Server knowledgePack/compile runtime binding 写回 KnowledgePack。

What it can do on your machine

Read from SKILL.md and the folder at commit 9acfc35. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • list_directory
    • read_file

    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.

  • Compatibility

    Agent Knowledge >=0.6.0

    From compatibility in the SKILL.md frontmatter.

Context cost

Brand Persona Knowledge Builder loads about 768 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 135 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~768
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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 limecloud/lime at commit 9acfc35, republished under its Apache-2.0 licence (© limecloud). 135 words, ~768 tokens.

Download SKILL.mdSave it as .claude/skills/brand-persona-knowledge-builder/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
brand-persona-knowledge-builder
description
将品牌定位、价值观、受众画像、语气风格、内容样例、危机回应和表达禁区,整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的品牌人设知识库。适用于用户要求“整理品牌人设”“沉淀品牌口吻”“把品牌资料变成可复用语气库”“维护品牌 persona pack”的场景。
allowed-tools
list_directory, read_file
compatibility
Agent Knowledge >=0.6.0
license
Apache-2.0
metadata.lime_version
1.0.1
metadata.lime_execution_mode
prompt
metadata.lime_surface
workbench
metadata.lime_category
knowledge
metadata.Lime_skill_bundle_version
1.0.1
metadata.Lime_knowledge_builder
true
metadata.Lime_knowledge_pack_type
brand-persona
metadata.Lime_knowledge_template
brand-persona
metadata.Lime_knowledge_family
persona

品牌人设知识库生成器

核心目标

把零散品牌资料编译成一份结构化 Markdown 知识库,让后续 AI 能稳定调用品牌的价值观、表达方式、语气边界、标志性内容、危机回应和禁忌,而不是每次临时总结品牌口吻。

默认输出中文;除非用户明确要求其他语言。

与 Agent Knowledge 的分工

本 Skill 只负责“怎么生产和维护知识”:

  • 读取来源资料、模板、访谈问题和质量检查表。
  • 生成或更新 brand-persona 主文档。
  • 标记缺失事实、冲突定位、语气漂移风险和待用户确认的信息。
  • 返回整理记录、质量诊断和 provenance 建议。

Agent Knowledge 负责“知识产物长什么样、如何安全进入上下文”:

  • KNOWLEDGE.md 保存 pack metadata、profile: document-first、runtime.mode: persona。
  • documents/<pack-name>.md 保存本 Skill 生成的主文档。
  • compiled/splits/ 保存运行时派生切片。
  • 运行时 Resolver 只消费 KnowledgePack,不在回答用户问题时执行本 Skill。

工作流

  1. 先盘点输入资料:品牌手册、官网文案、历史内容、客服话术、创始人访谈、用户评价、危机案例和禁用词。
  2. 读取 references/brand-persona-template.md,按固定章节生成知识库。
  3. 读取 references/interview-questions.md,识别缺失的品牌定位、受众、语气和边界信息。
  4. 缺少关键事实、品牌承诺、目标受众或表达边界时,先问用户补齐;如果用户要求先生成,则用 待补充 标注,不要编造。
  5. 提炼品牌内核、受众关系、声音语气、表达模式、标志性表达、内容样例、危机回应和禁止表达。
  6. 用 references/quality-checklist.md 自检,必要时补一节“待补充信息清单”。
  7. 返回符合 Lime Runtime Binding 契约的 JSON,供 App Server knowledgePack/compile runtime binding 写回 KnowledgePack。

Lime Runtime Binding 契约

输入
text
packName: <当前知识包名>
packType: brand-persona
profile: document-first
runtime.mode: persona
sources[]: sources/ 下的来源文件摘要和相对路径
metadata.primaryDocument: documents/<packName>.md
输出
text
primaryDocument:
  path: documents/<packName>.md
  content: <按 references/brand-persona-template.md 生成的完整 Markdown>
status: draft | needs-review | ready | disputed
missingFacts[]: <待补充信息>
warnings[]: <质量、定位或语气冲突提醒>
provenance:
  kind: agent-skill
  name: brand-persona-knowledge-builder
  version: 1.0.0

固定规则:

  1. 不输出独立于 KnowledgePack 的新目录结构;documents/<packName>.md 是主文档唯一写回目标。
  2. 不直接改写 KNOWLEDGE.md;由 Lime 写入 metadata.producedBy、runtime.mode 和状态。
  3. 不把模板复制进 Lime 代码;模板、访谈问题和质量检查表继续留在本 Skill 的 references/。
  4. 不在运行时回答阶段执行;仅在用户导入、重新整理或维护 pack 时调用。

适用场景

  • 品牌故事、公众号 / 视频号内容、小红书 / 抖音短内容、客服话术和危机回应草稿
  • 多成员共用一个品牌口吻,避免每个人写出来都像不同品牌
  • 与 brand-product data pack 协同:brand-persona 决定“怎么说”,brand-product 决定“说什么事实”

输出规则

  • 不写成品牌宣传软文;要写成 AI 可调用的品牌表达底层知识库。
  • 区分事实、品牌主张、推断和待补充信息。
  • 保留真实品牌调性,不要把品牌包装成无来源的“高端”“领先”“第一”。
  • 所有口号、价值观、用户承诺、案例、危机回应原则都必须来自来源资料;不确定就标注 待补充。
  • 结尾必须包含:运行时使用说明、AI 写作风格指南、品牌价值关键词、可引用表达素材、禁忌与边界。

何时读取资源

  • 需要章节骨架时,读取 references/brand-persona-template.md。
  • 资料不足或要做访谈表时,读取 references/interview-questions.md。
  • 输出前做质量检查时,读取 references/quality-checklist.md。

© limecloud, 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

SKILL.md and 4 other files (references) in lime-rs/resources/default-skills/brand-persona-knowledge-builder of limecloud/lime.

  • SKILL.md
  • agents/openai.yaml
  • references/brand-persona-template.md
  • references/interview-questions.md
  • references/quality-checklist.md

Open the folder on GitHubat commit 9acfc35

Compare with similar skills

Brand Persona Knowledge Builder 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.

Brand Persona Knowledge Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brand Persona Knowledge Builder this skilllimecloud/lime1.5k—~768Automated safety check: PassApache-2.0
Technical Analysttradermonty/claude-trading-skills3k5 repos~4.6kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7294 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Brand Persona Knowledge Builder

What does Brand Persona Knowledge Builder do?

将品牌定位、价值观、受众画像、语气风格、内容样例、危机回应和表达禁区,整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的品牌人设知识库。适用于用户要求“整理品牌人设”“沉淀品牌口吻”“把品牌资料变成可复用语气库”“维护品牌 persona pack”的场景。. Brand Persona Knowledge Builder is an agent skill from limecloud/lime.

When should I use Brand Persona Knowledge Builder?

Brand Persona Knowledge Builder fits situations like: business, Finance & HR work in your project.

How do I install Brand Persona Knowledge Builder in Claude Code?

Run `npx skills add limecloud/lime --skill brand-persona-knowledge-builder -a claude-code`. Or copy the skill folder (lime-rs/resources/default-skills/brand-persona-knowledge-builder in limecloud/lime) into .claude/skills/brand-persona-knowledge-builder in your project. Claude Code loads it when a task matches its description.

How do I install Brand Persona Knowledge Builder in Codex?

Run `npx skills add limecloud/lime --skill brand-persona-knowledge-builder -a codex`. Or copy the skill folder (lime-rs/resources/default-skills/brand-persona-knowledge-builder in limecloud/lime) into .agents/skills/brand-persona-knowledge-builder in your project. Codex loads it when a task matches its description.

Can I use Brand Persona Knowledge Builder 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 limecloud/lime --skill brand-persona-knowledge-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brand-persona-knowledge-builder, .gemini/skills/brand-persona-knowledge-builder, .github/skills/brand-persona-knowledge-builder and .opencode/skills/brand-persona-knowledge-builder in your project.

What does Brand Persona Knowledge Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Brand Persona Knowledge Builder is instructions for the agent only. Its frontmatter pre-approves these tools: list_directory, read_file. Compatibility (from SKILL.md): Agent Knowledge >=0.6.0.

Does Brand Persona Knowledge Builder 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 Brand Persona Knowledge Builder 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 Brand Persona Knowledge Builder use?

Brand Persona Knowledge Builder is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brand Persona Knowledge Builder use?

About 768 tokens (SKILL.md is roughly 3.1k 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 Brand Persona Knowledge Builder?

Skills that share tags, products or a category with Brand Persona Knowledge Builder: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brand Persona Knowledge Builder?

limecloud (a GitHub organization) maintains it in limecloud/lime, which has 1,485 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 7, 2026.

Source: limecloud/lime on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.