Foundation Skills — Development skill for Claude Code
Open-source agent skills for professional feasibility studies: market sizing, competitor benchmarks, pricing, business plans (.docx) and pitch decks (.pptx).
How to install Foundation Skills
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open mamarexa/foundation-skills and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Foundation Skills does
Open-source agent skills for professional feasibility studies: market sizing, competitor benchmarks, pricing, business plans (.docx) and pitch decks (.pptx). Works with Claude, Codex, Gemini CLI and Cursor. Connect Foundation for engine-computed financials.
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README
Foundation Skills
Open-source agent skills that do a feasibility consultant's job: size the market, benchmark competitors, build the financial study, tune the pricing, then write the business plan and the pitch deck. They run in your own AI agent (Claude, Codex, Gemini CLI, Cursor and others). They are built by the team behind [Foundation](https://getfndtn.com).
Why this exists
Ask a general AI assistant whether your business idea works and it will write you something that sounds like a feasibility study. The problems are underneath:
- The math is guessed. Language models are not calculators. NPV, IRR, payback and break-even figures in an AI-written plan are often wrong, and nothing on the page tells you which ones.
- The assumptions are invisible. Where did "£38,000 for the fit-out" come from? A lender will ask, and "the AI said so" is not an answer.
- The parts don't agree. The team section says five staff, the payroll line pays four, and the market chapter uses a different number from the pitch deck.
A professional consultant avoids all three. They put a source behind every input, run the numbers through a real financial model, and keep one version of the truth that every document draws from. These skills teach an AI agent to work the same way.
How it works
The skills split the job the way it should be split:
- The agent does the analyst's work: interviewing the founder, researching costs, prices and competitors, choosing a sensible structure, tagging where every number came from, and writing.
- A deterministic engine does the math: Foundation is a feasibility-study web app with a tested calculation engine. It computes investment, operating costs, revenue ramps, profit, cash flow, NPV, IRR, payback, break-even and SaaS metrics from the inputs. When your agent is connected to Foundation, every financial figure in the output comes from that engine. The agent never computes one itself.
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