Agent skill

Capital Allocation

by mohitagw15856 in mohitagw15856/pm-claude-skills

Allocate a finite budget or headcount across competing initiatives by return and strategic fit.

MITAuto-check passed

Install Capital Allocation

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills capital-allocation --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/capital-allocation .claude/skills/capital-allocation && 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
capital-allocation
GitHub stars
1.4k
Token cost
~983 tokens
SKILL.md length
449 words
Files
2 (incl. scripts)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Allocate a finite budget or headcount across competing initiatives by return and strategic fit.

  • Asked to allocate budget
  • SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 3 more sections
  • Runs Python scripts from its folder; calls python3
  • Decide where to invest

What it does

Capital Allocation is an agent skill from mohitagw15856/pm-claude-skills. 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.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/capital_allocate.py`).

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked to allocate budget
  • Decide where to invest
  • Build a funding/portfolio plan
  • Make trade-offs across initiatives under a cap

Example prompts

  • “/capital-allocation”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Capital Allocation loads about 983 tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 449 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~983

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); the scripts in this folder are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 449 words, ~983 tokens.

Download SKILL.mdSave it as .claude/skills/capital-allocation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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.

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:

InitiativeCostExpected returnStrategic 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:

bash
# 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
Show full SKILL.md (172 more words)Show less

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.

Example Trigger Phrases

  • "Decide where to invest."
  • "Build a funding/portfolio plan."
  • "Make trade-offs across initiatives under a cap."

© mohitagw15856, MIT. 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 1 other file (scripts) in skills/capital-allocation of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • scripts/capital_allocate.py

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Capital Allocation 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.

Capital Allocation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Capital Allocation this skillmohitagw15856/pm-claude-skills1.4k—~983Automated safety check: PassMIT
Capital Allocationcbrock84/headcount2k—~791Automated safety check: PassMIT
Budget Cash Flowsickn33/agentic-awesome-skills47k1 repos~4.1kAutomated safety check: PassMIT
Capital Allocationdaloopa/investing489—~2.3kAutomated safety check: PassApache-2.0
Token Budget Advisoraffaan-m/ECC276k—~910Automated safety check: PassMIT
Agent Resource Allocatorruvnet/ruflo74k2 repos~4.9kAutomated safety check: PassMIT

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Questions about Capital Allocation

What does Capital Allocation do?

Allocate a finite budget or headcount across competing initiatives by return and strategic fit. Capital Allocation is an agent skill from mohitagw15856/pm-claude-skills. Allocate a finite budget or headcount across competing initiatives by return and strategic fit.

When should I use Capital Allocation?

Capital Allocation fits situations like: asked to allocate budget; decide where to invest; build a funding/portfolio plan; make trade-offs across initiatives under a cap.

How do I install Capital Allocation in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a claude-code`. Or copy the skill folder (skills/capital-allocation in mohitagw15856/pm-claude-skills) into .claude/skills/capital-allocation in your project. Claude Code loads it when a task matches its description.

How do I install Capital Allocation in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a codex`. Or copy the skill folder (skills/capital-allocation in mohitagw15856/pm-claude-skills) into .agents/skills/capital-allocation in your project. Codex loads it when a task matches its description.

Can I use Capital Allocation 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 mohitagw15856/pm-claude-skills --skill capital-allocation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capital-allocation, .gemini/skills/capital-allocation, .github/skills/capital-allocation and .opencode/skills/capital-allocation in your project.

What does Capital Allocation need to run?

Going by SKILL.md and its folder, Capital Allocation needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Capital Allocation 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 Capital Allocation 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Capital Allocation use?

Capital Allocation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Capital Allocation use?

About 983 tokens (SKILL.md is roughly 3.9k 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 Capital Allocation?

Skills that share tags, products or a category with Capital Allocation: Capital Allocation (cbrock84/headcount, 2k stars), Budget Cash Flow (sickn33/agentic-awesome-skills, 47k stars), Capital Allocation (daloopa/investing, 489 stars) and Token Budget Advisor (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Capital Allocation?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.