Future Planning Advisor
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...
Install
npx skills add digoal/blog --skill future-planning-advisor -g -a claude-code -y- Repository
- digoal/blog8.6k
- Category
- Engineering
- Updated
- 3d ago
- License
- GPL-2.0
- Context cost
- Lightabout 1,124 tokens
- Runs scripts
- No, instructions only
What it does
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
-
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.
-
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.
