Capital Allocation
cbrock84/headcount
Evaluates where to spend limited capital — investment appraisal, hurdle rates, payback, and comparing proposals that are not alike.
Allocate a finite budget or headcount across competing initiatives by return and strategic fit.
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills capital-allocation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "capital-allocation" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocation into .claude/skills/capital-allocation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capital-allocation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills capital-allocation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/capital-allocation .agents/skills/capital-allocation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "capital-allocation" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocation into .agents/skills/capital-allocation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capital-allocation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills capital-allocation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/capital-allocation .cursor/skills/capital-allocation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "capital-allocation" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocation into .cursor/skills/capital-allocation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capital-allocation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/capital-allocation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills capital-allocation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/capital-allocation .gemini/skills/capital-allocation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "capital-allocation" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocation into .gemini/skills/capital-allocation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capital-allocation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mohitagw15856/pm-claude-skills capital-allocationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/capital-allocation .github/skills/capital-allocation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "capital-allocation" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocation into .github/skills/capital-allocation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capital-allocation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill capital-allocation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills capital-allocation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/capital-allocation .opencode/skills/capital-allocation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "capital-allocation" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/capital-allocation into .opencode/skills/capital-allocation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capital-allocation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
capital-allocationAllocate 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. 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.
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 449 words, ~983 tokens.
.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.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.
Ask for these only if they aren't already provided:
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).
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 --jsonPortfolio capital-allocation practice — expected-value × strategic-fit scoring per unit cost, against a hard constraint.
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in skills/capital-allocation of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Capital Allocation this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~983 | Automated safety check: Pass | MIT | |
| Capital Allocationcbrock84/headcount | 2k | — | ~791 | Automated safety check: Pass | MIT | |
| Budget Cash Flowsickn33/agentic-awesome-skills | 47k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Capital Allocationdaloopa/investing | 489 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Token Budget Advisoraffaan-m/ECC | 276k | — | ~910 | Automated safety check: Pass | MIT | |
| Agent Resource Allocatorruvnet/ruflo | 74k | 2 repos | ~4.9k | Automated safety check: Pass | MIT |
cbrock84/headcount
Evaluates where to spend limited capital — investment appraisal, hurdle rates, payback, and comparing proposals that are not alike.
sickn33/agentic-awesome-skills
Budget against actual by department, category and period, with budget and actual amounts, variance, percentage used and linked expenses.
daloopa/investing
Deep dive into capital deployment, buybacks, dividends, and shareholder yield
affaan-m/ECC
回答する前に、どれだけの回答深度を消費するかについてユーザーに情報に基づいた選択を提供する。ユーザーが回答の長さ、深さ、またはトークンバジェットを明示的に制御したい場合にこのスキルを使用する。トリガー条件:"token budget", "token count", "token usage", "token limit", "response length", "answer depth"…
ruvnet/ruflo
Agent skill for resource-allocator - invoke with $agent-resource-allocator
HKUDS/Vibe-Trading
Explains portfolio theory and the built-in optimizers: mean-variance (MPT), Black-Litterman, risk budgeting and all-weather allocation, plus rebalancing rules and config output.
mohitagw15856/pm-claude-skills
Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly…
mohitagw15856/pm-claude-skills
Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.
mohitagw15856/pm-claude-skills
Compute who gets what at each exit price from a cap table — liquidation preferences, conversion points, and where the founders' share collapses.
mohitagw15856/pm-claude-skills
Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.
mohitagw15856/pm-claude-skills
Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer.
mohitagw15856/pm-claude-skills
Derive a freelance day/hourly rate backwards from target income, honest billable utilization, overhead, and the self-employment tax premium — the arithmetic that proves a rate is not salary÷2000.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.