Agent skill

Enterprise Planner

by digoal in digoal/blog

为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息,自动搜索企业相关情报、行业数据、竞争格局,构建完整企业画像,再结合当下环境与未来趋势,输出图文并茂、有数据支撑的战略规划报告(Markdown 格式),保存到当前项目的 markdown/…

GPL-2.0Auto-check passedDocuments & Office

Install Enterprise Planner

skills CLI
$ npx skills add digoal/blog --skill enterprise-planner -a claude-code

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

GitHub CLI
$ gh skill install digoal/blog enterprise-planner --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/enterprise-planner .claude/skills/enterprise-planner && 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
enterprise-planner
GitHub stars
8.6k
Token cost
~1.1k tokens
SKILL.md length
213 words
Files
1
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息,自动搜索企业相关情报、行业数据、竞争格局,构建完整企业画像,再结合当下环境与未来趋势,输出图文并茂、有数据支撑的战略规划报告(Markdown 格式),保存到当前项目的 markdown/…

  • Works in 5 steps: :信息采集 → :构建企业画像 → :战略规划撰写 → …
  • Tasks that involve Markdown
  • SKILL.md covers 总体流程, Step 1:信息采集, Step 2:构建企业画像 and Step 3:战略规划撰写, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Enterprise Planner is an agent skill from digoal/blog. 为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息,自动搜索企业相关情报、行业数据、竞争格局,构建完整企业画像,再结合当下环境与未来趋势,输出图文并茂、有数据支撑的战略规划报告(Markdown 格式),保存到当前项目的 markdown/ 目录。触发条件:用户提供企业信息并希望获得规划建议、提到"企业规划"、"帮这家公司规划"、"战略建议书"、"商业计划"、"给XX公司写规划"、"公司未来怎么走"、"帮我分析一下这家企业"。即使用户只说"帮我给这家公司写个规划"但附带了企业信息,也应使用本 skill。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Markdown. 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 Markdown

Example prompts

  • “帮这家公司规划”
  • “给XX公司写规划”
  • “公司未来怎么走”
  • “/enterprise-planner”

Workflow steps

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

  1. :信息采集
  2. :构建企业画像
  3. :战略规划撰写
  4. :内容质量标准
  5. :输出规范

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 (its code samples are bash and markdown).

    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

Enterprise Planner loads about 1.1k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 213 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 213 words, ~1,062 tokens.

Download SKILL.mdSave it as .claude/skills/enterprise-planner/SKILL.md (or your agent's skills folder).
name
enterprise-planner
description
为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息,自动搜索企业相关情报、行业数据、竞争格局,构建完整企业画像,再结合当下环境与未来趋势,输出图文并茂、有数据支撑的战略规划报告(Markdown 格式),保存到当前项目的 markdown/ 目录。触发条件:用户提供企业信息并希望获得规划建议、提到"企业规划"、"帮这家公司规划"、"战略建议书"、"商业计划"、"给XX公司写规划"、"公司未来怎么走"、"帮我分析一下这家企业"。即使用户只说"帮我给这家公司写个规划"但附带了企业信息,也应使用本 skill。

Enterprise Planner — 企业未来规划与建议书

总体流程

1. 信息采集 → 2. 企业画像构建 → 3. 外部环境分析 → 4. 战略规划撰写 → 5. 输出报告

Step 1:信息采集

1.1 从用户输入中提取

用户通常会提供(至少其中之一):

  • 企业名称
  • 企业简介 / 一句话描述
  • 公司网站 URL
  • 所在行业 / 主营业务
1.2 主动网络搜索

使用 web_search 和 web_fetch 工具,围绕以下维度并行搜索:

搜索顺序(优先级由高到低):

A. 企业基本面
   - "[企业名] 营收 利润 2023 2024"
   - "[企业名] 商业模式 产品线"
   - "[企业名] 融资 上市 投资人"
   - "[企业名] 新闻 最新动态"

B. 行业与市场
   - "[所在行业] 市场规模 2024 2025"
   - "[所在行业] 行业报告 趋势"
   - "[所在行业] 竞争格局 龙头企业"

C. 竞争对手
   - "[企业名] 竞争对手 对比"
   - "[行业] 头部企业 市场份额"

D. 宏观政策
   - "[行业] 政策 监管 2024"
   - "[行业] AI 数字化 机会"

如用户提供了网站 URL,必须使用 web_fetch 抓取完整内容。


Step 2:构建企业画像

将采集到的信息整理为结构化画像,涵盖内部与外部、当下与未来四个象限:

内部 × 当下 — 业务体质诊断
维度分析要点
财务健康营收规模、增速、利润率、现金流状况(若无数据,注明"信息有限,推测...")
产品/服务结构各业务线的收入贡献、增速、竞争力
客户资产客户类型、集中度、付费逻辑、核心痛点
核心能力驱动模式(技术/营销/运营效率)、护城河深度
内部 × 未来 — 战略意图与进化力
  • 创始人/核心团队背景与野心判断
  • 过去1-3年最大的结构性变化
  • 现有能力可迁移的新赛道
外部 × 当下 — 竞争与市场温度
  • 市场利润池分布与价值链位置
  • 直接竞争对手对比(优/劣势差异化)
  • 替代品威胁与潜在进入者
外部 × 未来 — 结构性机会与风险
  • 技术非连续性(AI、自动化等颠覆点)
  • 人口与社会结构变迁
  • 政策长期锚点(双碳、数字经济等)
  • 消费价值观迁移

Step 3:战略规划撰写

报告必须包含以下章节(顺序可根据企业情况调整):

必须包含的章节
  1. 执行摘要 — 3-5 句话总结核心建议,让读者5秒内抓住精髓

  2. 企业现状诊断

    • 核心优势与短板(SWOT 或自定义框架)
    • 当前所处的竞争位置
  3. 行业与赛道分析

    • 市场规模与增速(附数据来源)
    • 价值链结构与利润池
    • 竞争格局地图(用 mermaid 或 SVG 可视化)
  4. 机会识别与场景拆解

    • 至少 2-3 个具体场景/赛道机会
    • 每个机会说明:为什么现在、为什么这家企业、如何切入
  5. 商机发掘与痛点分析

    • 客户真正愿意付费的痛点(区分"伪需求"与"真刚需")
    • 商业模式设计(如何变现)
  6. 产品/服务原型设计

    • MVP(最小可行产品)定义
    • 产品路线图(用 mermaid 时间线展示)
    • 核心功能优先级
  7. 团队与资源建议

    • 关键岗位配置建议
    • 需要引入的核心能力缺口
  8. 战略路线图

    • 0-6个月:生存期目标
    • 6-18个月:成长期目标
    • 18-36个月:扩张期目标
    • 用 mermaid gantt 或时间线可视化
  9. 风险与前提假设

    • 明确列出规划成立的核心假设
    • 每个假设崩塌时的备选方案
  10. 行动优先级清单

    • Top 5 优先级行动(按 ROI 排序)

Step 4:内容质量标准

数据与证据要求
  • ✅ 引用来源明确(市场研究机构、行业协会、上市公司财报等)
  • ✅ 使用区间数据而非精确数字("市场规模约 800-1200 亿元")
  • ✅ 每个核心论点至少有 1 个支撑案例
  • ❌ 避免用个例以偏概全
  • ❌ 避免无来源的"据悉"、"业内人士透露"
逻辑结构要求
  • 每个战略建议必须有明确的前提假设
  • 假设崩塌时的备选路径必须写出来
  • 论点→论据→结论 三段式结构
图表使用规范

Mermaid 图表(优先使用):

- 竞争格局:quadrantChart(四象限定位图)
- 产品路线图:gantt
- 业务流程:flowchart
- 组织架构:graph TD
- 时间轴:timeline

⚠️ Mermaid 中文渲染规则(必须严格遵守):

  1. quadrantChart 象限图 — 所有中文标签必须用双引号包围:
quadrantChart
    title "竞争格局定位"
    x-axis "低市场份额" --> "高市场份额"
    y-axis "低增长" --> "高增长"
    quadrant-1 "明星"
    quadrant-2 "问题"
    quadrant-3 "瘦狗"
    quadrant-4 "现金牛"
    "企业A": [0.7, 0.8]
    "竞品B": [0.4, 0.5]
  1. gantt 时间线 — 中文任务名必须用双引号包围;日期格式只能用 YYYY-MM-DD 或 MM-DD,禁止使用 Q1/Q2/Q3/Q4 等季度格式:
gantt
    title "产品路线图"
    dateFormat MM-DD
    section "第一阶段"
        "需求调研"    :done, 01-01, 02-28
        "原型设计"    :active, 03-01, 04-30
    section "第二阶段"
        "开发上线"    : 05-01, 08-31
  1. timeline 时间轴 — 中文文本必须用双引号包围,section 后的标题也需双引号:
timeline
    title "战略里程碑"
    section "2025"
        "01月" : "完成MVP"
        "06月" : "首批客户"
    section "2026"
        "03月" : "规模扩张"
  1. flowchart / graph — 节点标签中含中文时必须用双引号或方括号包围:
flowchart TD
    A["战略分析"] --> B["机会识别"]
    B --> C["产品设计"]

SVG 图表(复杂可视化用):

  • 市场份额饼图
  • 价值链流转图
  • 雷达图(能力评估)

Text 表格:

  • 竞品对比矩阵
  • 优先级排序

Step 5:输出规范

文件保存
bash
# 保存到 markdown/ 目录
文件名格式:[企业名]-未来规划建议书-[YYYY-MM].md
示例:字节跳动-未来规划建议书-2025-01.md
Markdown 格式要求
  • 使用 H1-H4 标题层级,H1 只用一次(报告标题)
  • 重要结论用 > 引用块突出
  • 关键数字加粗
  • 报告末尾附"参考资料"章节,列出搜索到的核心来源
报告长度
  • 最短:4000 字(含图表)
  • 理想:6000-10000 字
  • 上限:视复杂度而定,不强制压缩

特殊情况处理

信息严重不足时

若搜索后企业信息仍极为有限(如极早期创业公司),应:

  1. 告知用户信息来源局限
  2. 基于行业通用规律进行推演,并明确标注"基于行业推演"
  3. 重点输出行业分析和商业模式框架,而非企业个性化诊断
涉及竞品敏感信息时
  • 只引用公开资料(官网、公开报道、上市公司公告)
  • 不捏造竞品数据
输出语言
  • 默认与用户使用的语言一致
  • 若用户输入为中文,报告为中文;英文同理

示例:报告开头模板

markdown
# [企业名] 未来规划与战略建议书

> **执行摘要**
> [企业名]当前处于[行业]赛道的[位置描述]阶段。核心机会在于[机会点1]和[机会点2]。
> 建议优先聚焦[MVP方向],在[时间范围]内验证[核心假设],预计可实现[里程碑目标]。

*报告日期:[月 年] | 作者:Claude AI 战略分析*

---

## 一、企业现状诊断

...

© 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

Just SKILL.md in skills/skills_for_claude_web/enterprise-planner of digoal/blog.

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Enterprise Planner 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.

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Chinese Quotes Fixranxi2001/zero2Agent703—~735Automated safety check: PassMIT
Bangunai Blog ManagerLeoYeAI/openclaw-master-skills2.2k—~5.7kAutomated safety check: PassMIT
X Article Publisherwshuyi/x-article-publisher-skill8712 repos~3.6kAutomated safety check: PassMIT
Markdown PRD to HTML Rendererowainlewis/blueprint412—~1.3kAutomated safety check: PassMIT

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Works with

Questions about Enterprise Planner

What does Enterprise Planner do?

为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息,自动搜索企业相关情报、行业数据、竞争格局,构建完整企业画像,再结合当下环境与未来趋势,输出图文并茂、有数据支撑的战略规划报告(Markdown 格式),保存到当前项目的 markdown/…. Enterprise Planner is an agent skill from digoal/blog.

When should I use Enterprise Planner?

Enterprise Planner fits situations like: tasks that involve Markdown.

How do I install Enterprise Planner in Claude Code?

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

How do I install Enterprise Planner in Codex?

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

Can I use Enterprise Planner 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 enterprise-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enterprise-planner, .gemini/skills/enterprise-planner, .github/skills/enterprise-planner and .opencode/skills/enterprise-planner in your project.

What does Enterprise Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Enterprise Planner is instructions for the agent only.

Does Enterprise Planner 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 Enterprise Planner 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 Enterprise Planner use?

Enterprise Planner 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 Enterprise Planner use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 Enterprise Planner?

Skills that share tags, products or a category with Enterprise Planner: Markdown to Word Converter (cat-xierluo/SuitAgent, 205 stars), Chinese Quotes Fix (ranxi2001/zero2Agent, 703 stars), Bangunai Blog Manager (LeoYeAI/openclaw-master-skills, 2.2k stars) and X Article Publisher (wshuyi/x-article-publisher-skill, 871 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Enterprise Planner?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,586 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.