Agent skill

Enterprise Future Planning Advisor

by digoal in digoal/blog

基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese…

GPL-2.0Auto-check passedDocuments & Office

Install Enterprise Future Planning Advisor

skills CLI
$ npx skills add digoal/blog --skill enterprise-future-planning-advisor -a claude-code

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

GitHub CLI
$ gh skill install digoal/blog enterprise-future-planning-advisor --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/enterprise-future-planning-advisor .claude/skills/enterprise-future-planning-advisor && 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-future-planning-advisor
GitHub stars
8.6k
Token cost
~1.4k tokens
SKILL.md length
666 words
Files
5 (incl. references)
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese…

  • Works in 5 steps: Build the evidence base. → Create the enterprise profile. → Convert the profile into strategic… → …
  • The user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案
  • SKILL.md covers Goal, Inputs, Workflow and Output Requirements, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Enterprise Future Planning Advisor is an agent skill from digoal/blog. 基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese Markdown report saved under the current project's markdown directory.

Its SKILL.md is about 1.4k 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/enterprise-profile-framework.md` and `references/evidence-standards.md`).

It sits in Documents & Office. 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

  • The user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案
  • Wants a source-backed Chinese Markdown report saved under the current projects markdown directory

Example prompts

  • “/enterprise-future-planning-advisor”

Workflow steps

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

  1. Build the evidence base.
  2. Create the enterprise profile.
  3. Convert the profile into strategic options.
  4. Design the plan.
  5. Save the final report.

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

Enterprise Future Planning Advisor loads about 1.4k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 666 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

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). 666 words, ~1,439 tokens.

Download SKILL.mdSave it as .claude/skills/enterprise-future-planning-advisor/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
enterprise-future-planning-advisor
description
基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese Markdown report saved under the current project's markdown directory.

Enterprise Future Planning Advisor

Goal

Write a rigorous Chinese Markdown planning report for a specific company. Start from the company's current reality, compare it with external opportunities and risks, then design feasible future paths, products, MVPs, teams, monetization, and validation steps.

Do not write generic consulting slogans. Build the recommendation from verifiable company facts, current industry evidence, explicit assumptions, and a clear bridge from "where the company is" to "where it can go".

Inputs

Use the user's provided company material as primary context:

  • Company name, website, location, founding stage, ownership/listing status.
  • Company intro, products/services, target customers, pricing, channels.
  • Financial reports, fundraising news, hiring pages, patents, regulatory licenses, media interviews, or internal notes.
  • User's specific question, desired planning horizon, risk tolerance, and expected output depth.

If critical information is missing, first search public sources. Ask up to 5 high-impact questions only when public research cannot resolve the gap and the answer would materially change the plan. If the user asks you to proceed, state assumptions and confidence levels.

Workflow

  1. Build the evidence base.

    • Search the web for the company, website, filings, products, leadership, customers, competitors, funding, lawsuits/regulation, hiring, and recent news.
    • Prefer official company pages, annual reports/filings, regulator or government data, reputable industry reports, patents, job posts, customer reviews, and credible media.
    • Record source links, dates, and whether each claim is fact, inference, or assumption.
  2. Create the enterprise profile.

    • Analyze internal current state: business fundamentals, product/service portfolio, customer assets, operating efficiency, organization, resources, and core capabilities.
    • Analyze internal future capacity: strategic intent, innovation history, evolution speed, transferable assets, and constraints.
    • Analyze external current state: market structure, profit pool, value chain, customers, competition, substitutes, entrants, macro and policy conditions.
    • Analyze external future trends: technology discontinuities, demographic and social changes, long-term policy anchors, supply-chain shifts, and value-driven demand migration.
    • For the detailed profile checklist, read references/enterprise-profile-framework.md.
  3. Convert the profile into strategic options.

    • Identify gaps between internal limits and external possibilities.
    • Compare current business low-efficiency zones with external high-profit zones.
    • Test whether current advantages can survive future technology or demand shifts.
    • Produce 2-4 options, then recommend one main path and one backup path.
  4. Design the plan.

    • Include industry analysis, track analysis, scenario analysis, and how the company participates.
    • Identify customer-paid pain points, commercial opportunities, target customer segments, demand logic, and willingness to pay.
    • Design product/service prototypes, MVPs, pricing hypothesis, sales channel, operating model, team structure, and milestone metrics.
    • Explain monetization: who pays, why now, how often, through which channel, and what unit economics must become true.
  5. Save the final report.

    • Create markdown/ under the current project if missing.
    • Save as markdown/enterprise-future-planning-<company>-YYYYMMDD-HHMM.md.
    • Use Markdown with tables, Mermaid diagrams, and optional inline SVG where useful.

For evidence requirements, read references/evidence-standards.md. For the required report structure, read references/report-template.md.

Show full SKILL.md (210 more words)Show less

Output Requirements

The report must include, at minimum:

  • Executive summary and final recommendation.
  • Source-backed company profile: facts, inferences, assumptions, unknowns.
  • Internal diagnosis: business, product, customers, operations, organization, resources, capabilities.
  • External diagnosis: industry, track, value chain, profit pool, scenarios, customers, competition, substitutes, entrants, macro/policy.
  • Future trend analysis: technology, demographics, social values, policy, supply chain, economic cycle.
  • SWOT or equivalent strategic gap map.
  • Customer-paid pain points and business opportunities.
  • Demand analysis and target customer segmentation.
  • Product/service prototype and MVP design.
  • Participation mode, monetization path, channel, team and resource plan.
  • 30/90/180-day roadmap, metrics, risks, fallback paths.
  • Source list with links and publication dates where available.

Quality Bar

  • Use current web evidence for changeable claims. If browsing is unavailable, mark affected sections as unverified and lower confidence.
  • State assumptions before conclusions. For major recommendations, include what changes if the key assumption fails.
  • Do not infer market opportunity from isolated cases. Use cases only as illustrations unless backed by broader data.
  • Do not recommend a new product, transformation, or market entry without a plausible buyer, payment reason, channel, MVP validation method, and stop/continue metric.
  • Separate "what is known", "what is inferred", "what is assumed", and "what must be validated".
  • Keep diagrams functional: use them to clarify value chain, opportunity map, product workflow, or execution roadmap.

© 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 4 other files (references) in skills/enterprise-future-planning-advisor of digoal/blog.

  • SKILL.md
  • agents/openai.yaml
  • references/enterprise-profile-framework.md
  • references/evidence-standards.md
  • references/report-template.md

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

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Questions about Enterprise Future Planning Advisor

What does Enterprise Future Planning Advisor do?

基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese…. Enterprise Future Planning Advisor is an agent skill from digoal/blog. 基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料,搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese Markdown report saved under the current project's markdown directory.

When should I use Enterprise Future Planning Advisor?

Enterprise Future Planning Advisor fits situations like: the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案; wants a source-backed Chinese Markdown report saved under the current projects markdown directory.

How do I install Enterprise Future Planning Advisor in Claude Code?

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

How do I install Enterprise Future Planning Advisor in Codex?

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

Can I use Enterprise Future Planning Advisor 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-future-planning-advisor -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-future-planning-advisor, .gemini/skills/enterprise-future-planning-advisor, .github/skills/enterprise-future-planning-advisor and .opencode/skills/enterprise-future-planning-advisor in your project.

What does Enterprise Future Planning Advisor need to run?

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

Does Enterprise Future Planning Advisor 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 Future Planning Advisor 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 Future Planning Advisor use?

Enterprise Future Planning Advisor 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 Future Planning Advisor use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Enterprise Future Planning Advisor?

Skills that share tags, products or a category with Enterprise Future Planning Advisor: Markdown Article Formatter (JimLiu/baoyu-skills, 26k stars), Markitdown (ImCa0/just-laws, 782 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and DOCX (rvdbreemen/OTGW-firmware, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Enterprise Future Planning Advisor?

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.