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Capital Allocation

核心功能:按预期收益×战略适配度每单位成本评分项目,优先保障必资助项,在限额内分配资源,明确资助/不资助分界点及决策理由。典型场景:需分配预算、决定投资方向、制定资金/项目组合计划、在限额内做项目取舍时使用。输入需提供限额、项目信息、约束条件及优化目标;输出为含评分表、分界点等的结构化分配计划。

mohitagw15856
mohitagw15856
热度 10.47
最近更新 2026-07-16 22:17:41
分类:数据依赖:代码执行 / 内部调用大模型 / 纯提示词应用场景:财务 / 数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add capital-allocation
Metadata
name
capital-allocation
description
Allocate a finite budget or headcount across competing initiatives by return and strategic fit. Use when asked to allocate budget, decide where to invest, build a funding/portfolio plan, or make trade-offs across initiatives under a cap. Produces a capital-allocation plan — initiatives scored by expected return × strategic fit per dollar, a funded/unfunded split against the cap, the cut line, and the reasoning.
homepage
https://mohitagw15856.github.io/pm-claude-skills/skill/capital-allocation.html
metadata
{"openclaw":{"emoji":"🏢"}}

Capital Allocation Skill

Allocating capital is the core executive job: a fixed pot, more good ideas than money, and the need to say no on the record. This skill scores initiatives by expected return and strategic fit per unit of cost, allocates against the cap (honouring must-funds), and makes the cut line explicit — so funding is a defensible portfolio choice, not the loudest voice in the room.

Required Inputs

Ask for these only if they aren't already provided:

  • The cap — the total budget or headcount to allocate, and the period.
  • The initiatives — each with its cost, expected return (revenue, savings, or a strategic value), and strategic fit.
  • Constraints — anything that must be funded (compliance, keep-the-lights-on) or can't be partially funded.
  • The objective — what you're optimising: near-term return, strategic positioning, or a balance.

Output Format

Capital Allocation: [pot], [period]

1. Objective & cap — what you're optimising and the total available.

2. Scored initiatives — a table; score = expected value × strategic fit, normalised per unit cost:

Initiative Cost Expected return Strategic fit (1–5) Score / $ Must-fund?

3. The allocation — funded vs. unfunded against the cap, with budget utilisation. Must-funds first, then highest score/$ until the cap binds.

4. The cut line — the marginal initiative that just missed, and what it would take to fund it (the most useful number for the debate).

5. Rationale & trade-offs — why the portfolio is balanced this way, what's deliberately not funded, and the reversibility of each bet.

6. Re-evaluation triggers — what would change the allocation mid-period (a bet pays off early, a must-fund grows).

Programmatic Helper

scripts/capital_allocate.py (stdlib only) does the allocation deterministically — must-funds first, then by score-per-cost until the cap binds — and reports the cut line:

# items.json: [{"name":"Mobile revamp","cost":300,"expected_return":900,"strategic_fit":5,"must_fund":false}, ...]
python3 scripts/capital_allocate.py items.json --budget 1000
python3 scripts/capital_allocate.py items.json --budget 1000 --json

Quality Checks

  • Initiatives are scored on expected return AND strategic fit, not return alone
  • Score is expressed per unit of cost, so cheap-good beats expensive-good fairly
  • Must-funds are honoured before discretionary allocation
  • The cut line is explicit — the marginal initiative and what it'd take to fund it
  • What's deliberately not funded is stated, with the trade-off

Anti-Patterns

  • Do not allocate by last year's split or by who argues hardest — score the portfolio
  • Do not rank by absolute return — a $900 return on $300 beats $1000 on $900; use return per dollar
  • Do not ignore strategic fit — the highest-ROI initiative can still be off-strategy
  • Do not hide the cut line — the initiatives that just missed are the real decision, and the team deserves to see it
  • Do not treat estimates as facts — expected returns are usually [hunch]/[external]; flag the confidence

Based On

Portfolio capital-allocation practice — expected-value × strategic-fit scoring per unit cost, against a hard constraint.