Agent skill

Product Multi Role Analysis

by digoal in digoal/blog

输入某个产品的文档、URL 或简要描述,自动抓取关键信息,分别扮演「用户、投资人、产品经理、市场运营、品牌运营、友商、合作伙伴」7 个角色对该产品进行深度分析,中间结果分角色保存,最终整合为一篇图文并茂(SVG/Mermaid/ASCII)的综合分析报告,结论明确、有权威数据支撑、逻辑清晰、小白可读,并附有结论边界、前提假设及假设变动时的结论调整说明。

GPL-2.0Auto-check passedDevelopment

Install Product Multi Role Analysis

skills CLI
$ npx skills add digoal/blog --skill product-multi-role-analysis -a claude-code

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

GitHub CLI
$ gh skill install digoal/blog product-multi-role-analysis --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/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills_for_claude_web/product-multi-role-analysis .claude/skills/product-multi-role-analysis && 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
product-multi-role-analysis
GitHub stars
8.6k
Token cost
~977 tokens
SKILL.md length
206 words
Files
4 (incl. references)
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

输入某个产品的文档、URL 或简要描述,自动抓取关键信息,分别扮演「用户、投资人、产品经理、市场运营、品牌运营、友商、合作伙伴」7 个角色对该产品进行深度分析,中间结果分角色保存,最终整合为一篇图文并茂(SVG/Mermaid/ASCII)的综合分析报告,结论明确、有权威数据支撑、逻辑清晰、小白可读,并附有结论边界、前提假设及假设变动时的结论调整说明。

  • Works in 5 steps: 信息抓取与整理 → 7 角色独立分析(分文件保存) → 综合报告整合 → …
  • Tasks that involve Diagrams
  • SKILL.md covers 总览, 执行流程, 质量检查清单 and 注意事项, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Multi Role Analysis is an agent skill from digoal/blog. 输入某个产品的文档、URL 或简要描述,自动抓取关键信息,分别扮演「用户、投资人、产品经理、市场运营、品牌运营、友商、合作伙伴」7 个角色对该产品进行深度分析,中间结果分角色保存,最终整合为一篇图文并茂(SVG/Mermaid/ASCII)的综合分析报告,结论明确、有权威数据支撑、逻辑清晰、小白可读,并附有结论边界、前提假设及假设变动时的结论调整说明。 触发条件:用户提到"产品分析"、"多角色分析"、"7个角色"、"投资人视角"、"用户视角"、"产品竞争分析"、"全面分析这个产品"、"帮我分析一下 XX 产品"、"从多个角度看这个产品"、"product analysis"、"multi-role analysis",或提供产品文档/链接并希望获得深度产品分析报告时,必须使用本 skill。即使用户只说"帮我全面分析一下这个产品",也应立即使用本 skill。

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/chart-guide.md`, `references/report-structure.md` and `references/role-templates.md`).

It sits in Development, covering Diagrams. It works with Mermaid. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

  • Tasks that involve Diagrams

Example prompts

  • “产品竞争分析”
  • “全面分析这个产品”
  • “帮我分析一下 XX 产品”
  • “/product-multi-role-analysis”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. 信息抓取与整理
  2. 7 角色独立分析(分文件保存)
  3. 综合报告整合
  4. 结论边界与假设体系
  5. 文件整理与输出

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. 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

Product Multi Role Analysis loads about 977 tokens when it runs, and up to ~9.3k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 206 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~977
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.3k

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 digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 206 words, ~977 tokens.

Download SKILL.mdSave it as .claude/skills/product-multi-role-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
product-multi-role-analysis
description
输入某个产品的文档、URL 或简要描述,自动抓取关键信息,分别扮演「用户、投资人、产品经理、市场运营、品牌运营、友商、合作伙伴」7 个角色对该产品进行深度分析,中间结果分角色保存,最终整合为一篇图文并茂(SVG/Mermaid/ASCII)的综合分析报告,结论明确、有权威数据支撑、逻辑清晰、小白可读,并附有结论边界、前提假设及假设变动时的结论调整说明。 触发条件:用户提到"产品分析"、"多角色分析"、"7个角色"、"投资人视角"、"用户视角"、"产品竞争分析"、"全面分析这个产品"、"帮我分析一下 XX 产品"、"从多个角度看这个产品"、"product analysis"、"multi-role analysis",或提供产品文档/链接并希望获得深度产品分析报告时,必须使用本 skill。即使用户只说"帮我全面分析一下这个产品",也应立即使用本 skill。

Product Multi-Role Analysis Skill

总览

本 Skill 对任意产品进行「7 角色全景分析」,最终输出一份可直接发布或用于决策的综合报告。

7 个分析角色:

  1. 👤 用户 — 真实使用体验、痛点满足、愿意付费的理由
  2. 💰 投资人 — 市场规模、商业模式、增长曲线、退出路径
  3. 🛠 产品经理 — 核心功能、产品架构、roadmap 合理性、技术壁垒
  4. 📣 市场运营 — 获客渠道、增长策略、转化漏斗、ROI
  5. 🎨 品牌运营 — 品牌定位、视觉/语言一致性、用户心智占位
  6. ⚔️ 友商 — 差异化威胁、可抄功能、对方弱点在哪
  7. 🤝 合作伙伴 — 合作切入点、互补价值、潜在风险

执行流程

Phase 0 — 信息抓取与整理

输入来源(按优先级):

  • 用户提供的产品 URL → 使用 web_fetch 抓取官网/产品页
  • 用户提供的文档(PDF/Word/Markdown)→ 读取内容
  • 用户的文字描述 → 直接使用,并补充网络搜索

必须收集的信息维度:

产品名称、所属品类、目标用户、核心功能列表
定价策略、商业模式(SaaS/交易/广告/订阅等)
融资历史(轮次/金额/投资机构)
团队背景(创始人/核心成员)
主要竞品(至少3个)
用户评价(App Store/G2/Trustpilot/ProductHunt 等)
市场规模数据(TAM/SAM/SOM)

搜索策略:

  • 搜索 [产品名] review site:g2.com OR site:producthunt.com
  • 搜索 [产品名] funding crunchbase
  • 搜索 [产品名] vs [主要竞品]
  • 搜索 [所属品类] market size [当前年份]

将抓取结果整理为 00_raw_intel.md 保存到 markdown/ 目录。


Phase 1 — 7 角色独立分析(分文件保存)

每个角色的分析独立保存为单独的 Markdown 文件,命名规则:

markdown/01_user.md
markdown/02_investor.md
markdown/03_pm.md
markdown/04_growth.md
markdown/05_brand.md
markdown/06_competitor.md
markdown/07_partner.md

每个角色文件的标准结构,参见 references/role-templates.md。

分析深度要求:

  • 每个角色视角至少 800 字
  • 必须引用 Phase 0 中收集到的真实数据(不得凭空捏造数字)
  • 每个角色有 1 个核心结论句(便于后续整合)
  • 每个角色标注「该结论成立的前提假设」

Phase 2 — 综合报告整合

将 7 个角色文件整合为最终报告 markdown/[产品名]-analysis-report.md。

报告结构详见 references/report-structure.md。

图表生成规则:

  • SVG 图表 → 单独保存为 markdown/assets/[图表名].svg,在报告中用相对路径引用
  • Mermaid 图表 → 直接嵌入报告的代码块
  • ASCII 图表 → 直接嵌入,用于简单对比表格

必须包含的图表(至少 4 张):

  1. 产品竞争力雷达图(SVG)
  2. 商业模式 / 收入结构图(Mermaid flowchart 或 SVG)
  3. 用户旅程地图(Mermaid or ASCII)
  4. 市场定位矩阵(SVG 四象限)

可选图表(根据产品类型选择):

  • 增长漏斗图
  • 产品功能对比矩阵(竞品 vs 本品)
  • 融资时间线

Phase 3 — 结论边界与假设体系

这是本 Skill 区别于普通产品分析的核心价值。报告末尾必须包含:

3.1 结论适用边界
本报告结论在以下条件下成立:
- 时间范围:[分析时间] ±12 个月内
- 地理范围:[主要市场,如:中国大陆 / 北美 / 全球]
- 竞争格局:[当前竞品格局未发生颠覆性变化]
- 宏观环境:[利率/监管/技术范式 未发生根本性转变]
3.2 关键前提假设(KPA)

列出 3-5 个支撑核心结论的关键假设,格式:

KPA-1: [假设内容]
  观测指标: [用什么数据可以验证/证伪]
  验证周期: [多长时间可以看出端倪]
  
KPA-2: ...
3.3 假设变动时的结论调整

用「如果…那么…」的条件句清晰表达:

如果 KPA-1 不成立([具体情形])→ 结论调整为:[修订结论]
如果 KPA-2 不成立([具体情形])→ 结论调整为:[修订结论]

Phase 4 — 文件整理与输出
markdown/
├── 00_raw_intel.md          # 原始情报汇总
├── 01_user.md               # 用户视角分析
├── 02_investor.md           # 投资人视角分析
├── 03_pm.md                 # 产品经理视角分析
├── 04_growth.md             # 市场运营视角分析
├── 05_brand.md              # 品牌运营视角分析
├── 06_competitor.md         # 友商视角分析
├── 07_partner.md            # 合作伙伴视角分析
├── assets/
│   ├── radar.svg            # 竞争力雷达图
│   ├── market-matrix.svg    # 市场定位矩阵
│   └── [其他SVG图表]
└── [产品名]-analysis-report.md  # 最终综合报告

使用 present_files 工具呈现最终报告和关键中间文件。


质量检查清单

完成后对照检查:

  • Phase 0:原始数据已收集,包含真实数字(非估算)
  • 7 个角色文件均已独立保存
  • 每个角色有明确的核心结论句
  • 综合报告包含至少 4 张图表
  • SVG 图表已单独保存并在报告中引用
  • 结论边界章节存在且完整
  • KPA 至少 3 条,每条有观测指标
  • 每条 KPA 有对应的「假设变动→结论调整」
  • 全文逻辑自洽,小白可读(无缩略语未解释)
  • 所有数据有来源标注

注意事项

  1. 数据真实性优先:若找不到真实数据,明确标注「数据缺失,以行业均值估算」,禁止伪造权威引用。
  2. 角色立场要鲜明:每个角色视角要有真实的利益偏向,不能千篇一律说好话。友商视角必须写出威胁和攻击方向。
  3. 图表要有信息量:不要为图而图,每张图必须传递文字难以表达的洞察。
  4. 结论要有勇气:避免「可能」「也许」「或许」的模糊表达,结论要明确,不确定性用「假设体系」来承接。
  5. 项目目录:优先使用当前项目的 markdown/ 目录;若不存在,创建 /home/claude/markdown/ 并使用。

参考文件索引

  • references/role-templates.md — 7 个角色的详细分析模板
  • references/report-structure.md — 综合报告的完整章节结构
  • references/chart-guide.md — SVG/Mermaid/ASCII 图表制作规范

© digoal, GPL-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 3 other files (references) in skills/skills_for_claude_web/product-multi-role-analysis of digoal/blog.

  • SKILL.md
  • references/chart-guide.md
  • references/report-structure.md
  • references/role-templates.md

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Product Multi Role Analysis 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.

Product Multi Role Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Multi Role Analysis this skilldigoal/blog8.6k—~977Automated safety check: PassGPL-2.0
Archify Diagramstt-a1i/archify81k—~2.9kAutomated safety check: PassMIT
Diagram Designcathrynlavery/diagram-design48k1 repos~7.6kAutomated safety check: PassMIT
Draw.io Diagram StudioAgents365-ai/drawio-skill10k—~2.4kAutomated safety check: NotesMIT
Pretty Mermaid Rendererimxv/Pretty-mermaid-skills1.5k—~2kAutomated safety check: PassMIT
Archify Diagram BuilderUnclecheng-li/AI_Animation1.5k2 repos~4.1kAutomated safety check: PassMIT

Similar skills

  • Archify Diagrams

    tt-a1i/archify

    Creates interactive architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone HTML with inline SVG, themes and image or video export.

    81k GitHub stars~2.9k tokensUpdated today
    DevelopmentAuto-check passed
  • Diagram Design

    cathrynlavery/diagram-design

    Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.

    48k GitHub starsUsed in 1 repo~7.6k tokens
    DevelopmentAuto-check passed
  • Draw.io Diagram Studio

    Agents365-ai/drawio-skill

    Creates and edits editable draw.io diagrams from descriptions, code, infrastructure files, SQL and API schemas, with sync, review, test and export tools.

    10k GitHub stars~2.4k tokensUpdated 8 days ago
    DevelopmentAuto-check: notes
  • Pretty Mermaid Renderer

    imxv/Pretty-mermaid-skills

    Writes and renders Mermaid diagrams as themed SVG, PNG or terminal ASCII and Unicode art with a bundled Node.js CLI that needs no browser.

    1.5k GitHub stars~2k tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Archify Diagram Builder

    Unclecheng-li/AI_Animation

    Builds validated architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone interactive HTML from a small JSON spec, with optional motion and image export.

    1.5k GitHub starsUsed in 2 repos~4.1k tokens
    DevelopmentAuto-check passed
  • Mermaid

    WH-2099/mermaid-skill

    Generate Mermaid diagrams from user requirements. An agent skill from WH-2099/mermaid-skill.

    288 GitHub starsUsed in 4 repos~958 tokens
    DevelopmentAuto-check passed

More from digoal/blog

All 98 skills in this repo
  • 三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…

    8.6k GitHub stars~939 tokensUpdated yesterday
    Auto-check passed
  • Find latent bugs in a local PostgreSQL source tree (RELxxSTABLE branch or HEAD) the way a core hacker does: build a heavily-poisoned debug instance (cassert + cache-discard + -O0/-ggdb3 + core…

    8.6k GitHub stars~4k tokensUpdated yesterday
    Auto-check passed
  • Digoal

    digoal/blog

    Portable digital employee distilled from digoal's personal blog for PostgreSQL, PolarDB, DuckDB, AI+database, vector/RAG, database operations, source-code reading, technical content creation…

    8.6k GitHub stars~2.2k tokensUpdated yesterday
    Auto-check passed
  • 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…

    8.6k GitHub stars~1.5k tokensUpdated yesterday
    Auto-check passed
  • Analyze a product from documentation, websites, PDFs, articles, release notes, pricing pages, app listings, reviews, filings, or related links; save separate intermediate analyses from seven roles…

    8.6k GitHub stars~1.8k tokensUpdated yesterday
    Auto-check passed
  • Turn a blog post, article, notes, or any source material into a set of vertical poster images — one cover plus several coherent content slides that explain the core points.

    8.6k GitHub stars~1.4k tokensUpdated yesterday
    Auto-check passed

Works with

Categories

Questions about Product Multi Role Analysis

What does Product Multi Role Analysis do?

输入某个产品的文档、URL 或简要描述,自动抓取关键信息,分别扮演「用户、投资人、产品经理、市场运营、品牌运营、友商、合作伙伴」7 个角色对该产品进行深度分析,中间结果分角色保存,最终整合为一篇图文并茂(SVG/Mermaid/ASCII)的综合分析报告,结论明确、有权威数据支撑、逻辑清晰、小白可读,并附有结论边界、前提假设及假设变动时的结论调整说明。. Product Multi Role Analysis is an agent skill from digoal/blog.

When should I use Product Multi Role Analysis?

Product Multi Role Analysis fits situations like: tasks that involve Diagrams.

How do I install Product Multi Role Analysis in Claude Code?

Run `npx skills add digoal/blog --skill product-multi-role-analysis -a claude-code`. Or copy the skill folder (skills/skills_for_claude_web/product-multi-role-analysis in digoal/blog) into .claude/skills/product-multi-role-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Product Multi Role Analysis in Codex?

Run `npx skills add digoal/blog --skill product-multi-role-analysis -a codex`. Or copy the skill folder (skills/skills_for_claude_web/product-multi-role-analysis in digoal/blog) into .agents/skills/product-multi-role-analysis in your project. Codex loads it when a task matches its description.

Can I use Product Multi Role Analysis 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 digoal/blog --skill product-multi-role-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-multi-role-analysis, .gemini/skills/product-multi-role-analysis, .github/skills/product-multi-role-analysis and .opencode/skills/product-multi-role-analysis in your project.

What does Product Multi Role Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Multi Role Analysis is instructions for the agent only.

Does Product Multi Role Analysis 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 Product Multi Role Analysis 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 Product Multi Role Analysis use?

Product Multi Role Analysis is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Multi Role Analysis use?

About 977 tokens (SKILL.md is roughly 3.9k 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 8.3k tokens, read only when the agent opens those files.

What are the alternatives to Product Multi Role Analysis?

Skills that share tags, products or a category with Product Multi Role Analysis: Archify Diagrams (tt-a1i/archify, 81k stars), Diagram Design (cathrynlavery/diagram-design, 48k stars), Draw.io Diagram Studio (Agents365-ai/drawio-skill, 10k stars) and Pretty Mermaid Renderer (imxv/Pretty-mermaid-skills, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Multi Role Analysis?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

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