Agent skill

Future Planning Advisor

by digoal in digoal/blog

根据提问者提供的个人背景、资源、困境、目标、行业处境或访谈信息,生成面向未来的中文规划与建议书。Use when the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析, and wants a source-backed Markdown report saved under the…

GPL-2.0Auto-check passedDocuments & Office

Install Future Planning Advisor

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

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

GitHub CLI
$ gh skill install digoal/blog 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/future-planning-advisor .claude/skills/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
future-planning-advisor
GitHub stars
8.6k
Token cost
~1.2k tokens
SKILL.md length
570 words
Files
5 (incl. references)
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

根据提问者提供的个人背景、资源、困境、目标、行业处境或访谈信息,生成面向未来的中文规划与建议书。Use when the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析, and wants a source-backed Markdown report saved under the…

  • Works in 5 steps: Build the person's profile. → Research current external evidence. → Convert evidence into strategic options. → …
  • The user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析
  • 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

Future Planning Advisor is an agent skill from digoal/blog. 根据提问者提供的个人背景、资源、困境、目标、行业处境或访谈信息,生成面向未来的中文规划与建议书。Use when the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析, and wants a source-backed Markdown report saved under the current project's markdown directory.

Its SKILL.md is about 1.2k 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/evidence-standards.md` and `references/profile-framework.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 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析
  • Wants a source-backed Markdown report saved under the current projects markdown directory

Example prompts

  • “/future-planning-advisor”

Workflow steps

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

  1. Build the person's profile.
  2. Research current external evidence.
  3. Convert evidence into strategic options.
  4. Design execution.
  5. Save the final report.

What it can do on your machine

Read from SKILL.md and the folder at commit 69fb793. 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

Future Planning Advisor loads about 1.2k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 570 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.7k

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 69fb793, republished under its GPL-2.0 licence (© digoal). 570 words, ~1,196 tokens.

Download SKILL.mdSave it as .claude/skills/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
future-planning-advisor
description
根据提问者提供的个人背景、资源、困境、目标、行业处境或访谈信息,生成面向未来的中文规划与建议书。Use when the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析, and wants a source-backed Markdown report saved under the current project's markdown directory.

Future Planning Advisor

Goal

Write a rigorous Chinese Markdown planning report for a specific person. Find the intersection of:

  • What the person wants: motivation, values, ideal life, risk preference.
  • What the person can do: skills, resources, constraints, energy pattern.
  • What the era allows: industry demand, technology diffusion, macro trends, payment willingness.

Do not write generic inspirational advice. Turn the user's background into concrete strategic choices, scenario plans, commercial opportunities, MVPs, and action steps.

Inputs

Use the user's provided background as primary material. If critical information is missing, ask up to 5 high-impact questions before writing. If the user asks you to proceed without more input, state assumptions clearly and mark confidence levels.

Minimum useful inputs:

  • Current role, industry, city/country, age range or career stage.
  • Skills, resources, constraints, current pain points.
  • Desired lifestyle or goals.
  • Risk tolerance, income pressure, family/time constraints.
  • Any target industries, interests, or disliked paths.

For detailed interview prompts, read references/profile-framework.md.

Workflow

  1. Build the person's profile.

    • Extract facts from the prompt.
    • Separate facts, inferences, assumptions, and unknowns.
    • Summarize internal factors and external positioning.
    • Produce a personal SWOT and 3-version Odyssey plan.
  2. Research current external evidence.

    • Browse current web sources when making claims about markets, jobs, salaries, AI substitution, funding, regulation, industry size, or macro trends.
    • Prefer official statistics, government/regulator data, listed-company filings, reputable research institutions, major consulting reports, academic papers, and large recruitment platforms.
    • Avoid relying on isolated anecdotes, single founder stories, viral posts, or unsourced claims.
    • Cite sources with links. Record publication dates when relevant.
  3. Convert evidence into strategic options.

    • Analyze industry,赛道, scenarios, customer pain points, willingness to pay, and demand.
    • Explain assumptions behind each claim. If an assumption collapses, show the fallback path.
    • Give 2-4 feasible options, then recommend one main path and one backup path.
  4. Design execution.

    • Define how the person participates: role, entry point, leverage, partners, first customers.
    • Design monetization: pricing, sales channel, delivery model, unit economics logic.
    • Provide product/service prototype and MVP scope.
    • Propose team composition only when needed; keep solo or part-time starts when that is more realistic.
    • Give 30/90/180-day actions and measurable success criteria.
  5. Save the final report.

    • Create markdown/ under the current project if missing.
    • Save as markdown/future-planning-建议书-YYYYMMDD-HHMM.md or a more specific filename when the person/project has a clear name.
    • Use Markdown with Mermaid diagrams and optional inline SVG where useful.

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

Show full SKILL.md (170 more words)Show less

Output Requirements

The report must include, at minimum:

  • Executive summary and final recommendation.
  • User profile: current abilities/resources, motivations, values, constraints, blind spots.
  • External environment: industry analysis,赛道 analysis, scenario analysis, technology/AI impact, macro trend fit.
  • SWOT and Odyssey plan.
  • Customer-paid pain points and business opportunities.
  • Demand analysis and target customer segmentation.
  • Product/service prototype and MVP design.
  • How the person participates and monetizes.
  • Team, resources, milestones, risks, fallback paths.
  • Source list with links.

Use clear titles, tables, Mermaid diagrams, and concise visual summaries. Use diagrams to clarify structure, not as decoration.

Quality Bar

  • State assumptions before conclusions.
  • Distinguish "high confidence", "medium confidence", and "needs validation".
  • Do not overfit to the person's current job; include adjacent paths when the evidence supports them.
  • Do not promise certainty. Planning is a portfolio of bets under constraints.
  • Do not present a path as viable unless it has a plausible customer, payment reason, channel, and MVP validation method.
  • Keep recommendations specific enough to execute: who to contact, what to build, what to test, what metric decides continuation.

© 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/future-planning-advisor of digoal/blog.

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

Open the folder on GitHubat commit 69fb793

Compare with similar skills

Future Planning Advisor 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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Gzh Designisjiamu/gzh-design-skill3.9k1 repos~2.2kAutomated safety check: PassAGPL-3.0

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Questions about Future Planning Advisor

What does Future Planning Advisor do?

根据提问者提供的个人背景、资源、困境、目标、行业处境或访谈信息,生成面向未来的中文规划与建议书。Use when the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析, and wants a source-backed Markdown report saved under the…. Future Planning Advisor is an agent skill from digoal/blog. 根据提问者提供的个人背景、资源、困境、目标、行业处境或访谈信息,生成面向未来的中文规划与建议书。Use when the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析, and wants a source-backed Markdown report saved under the current project's markdown directory.

When should I use Future Planning Advisor?

Future Planning Advisor fits situations like: the user asks for 个人规划、职业规划、创业规划、人生规划、未来建议书、赛道选择、转型路径、变现方案、产品原型、MVP、团队组建、商业机会分析; wants a source-backed Markdown report saved under the current projects markdown directory.

How do I install Future Planning Advisor in Claude Code?

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

How do I install Future Planning Advisor in Codex?

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

Can I use 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 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/future-planning-advisor, .gemini/skills/future-planning-advisor, .github/skills/future-planning-advisor and .opencode/skills/future-planning-advisor in your project.

What does Future Planning Advisor need to run?

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

Does 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 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 Future Planning Advisor use?

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 Future Planning Advisor use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 3.5k tokens, read only when the agent opens those files.

What are the alternatives to Future Planning Advisor?

Skills that share tags, products or a category with Future Planning Advisor: Markdown Article Formatter (JimLiu/baoyu-skills, 26k stars), Markitdown (ImCa0/just-laws, 781 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 Future Planning Advisor?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,587 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on September 28, 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.