Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data.
$ npx skills add seb1n/awesome-ai-agent-skills --skill financial-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills financial-modeling --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/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/finance-and-accounting/financial-modeling .claude/skills/financial-modeling && 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 "financial-modeling" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modeling into .claude/skills/financial-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-modeling", 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/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modelingType 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 seb1n/awesome-ai-agent-skills --skill financial-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills financial-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/finance-and-accounting/financial-modeling .agents/skills/financial-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "financial-modeling" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modeling into .agents/skills/financial-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-modeling", 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 seb1n/awesome-ai-agent-skills --skill financial-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills financial-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/finance-and-accounting/financial-modeling .cursor/skills/financial-modeling && 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 "financial-modeling" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modeling into .cursor/skills/financial-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-modeling", 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/seb1n/awesome-ai-agent-skills.git --path finance-and-accounting/financial-modeling--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 seb1n/awesome-ai-agent-skills --skill financial-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills financial-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/finance-and-accounting/financial-modeling .gemini/skills/financial-modeling && 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 "financial-modeling" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modeling into .gemini/skills/financial-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-modeling", 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 seb1n/awesome-ai-agent-skills financial-modelingInstalls 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 seb1n/awesome-ai-agent-skills --skill financial-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/finance-and-accounting/financial-modeling .github/skills/financial-modeling && 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 "financial-modeling" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modeling into .github/skills/financial-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-modeling", 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 seb1n/awesome-ai-agent-skills --skill financial-modeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills financial-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/finance-and-accounting/financial-modeling .opencode/skills/financial-modeling && 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 "financial-modeling" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/finance-and-accounting/financial-modeling into .opencode/skills/financial-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-modeling", 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.
financial-modelingBuild financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data.
Financial Modeling is an agent skill from seb1n/awesome-ai-agent-skills. Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data. Use when the user requests financial modeling or provides relevant inputs for this workflow.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Financial modeling. The repository describes itself as: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 75865a5. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Financial Modeling loads about 2k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 987 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); files beside SKILL.md are not scanned.
The full file from seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 987 words, ~1,978 tokens.
.claude/skills/financial-modeling/SKILL.md (or your agent's skills folder).Build structured financial projections including income statements, discounted cash flow (DCF) models, and valuation analyses. This skill takes a set of business assumptions and transforms them into multi-period financial forecasts with key metrics like NPV, IRR, EBITDA margins, and revenue growth rates. Suitable for startup fundraising, acquisition analysis, budgeting, and strategic planning.
Define Core Assumptions Gather all foundational inputs: revenue growth rates, pricing tiers, customer acquisition rates, churn, cost structures, tax rates, discount rates, and terminal growth rates. Validate that assumptions are internally consistent — for example, headcount growth should align with projected revenue capacity. Document each assumption with its source or rationale.
Build the Revenue Model Construct a bottoms-up or top-down revenue forecast depending on available data. For subscription businesses, model MRR by cohort with expansion and churn. For transactional businesses, model volume × average transaction value. Break revenue into segments if the business has multiple product lines or geographies.
Project Operating Expenses Forecast COGS, gross margin, and operating expenses by category: personnel, marketing, R&D, G&A, and infrastructure. Use a mix of fixed and variable cost assumptions. Tie headcount plans to compensation benchmarks. Model economies of scale where applicable — hosting costs per user should decline as volume grows.
Calculate Free Cash Flows Derive EBITDA from the projected P&L, then adjust for capital expenditures, changes in working capital, and taxes to arrive at unlevered free cash flow (UFCF) for each period. Clearly separate operating cash flow from investing and financing activities.
Compute Valuation Metrics Discount projected cash flows using WACC to compute enterprise value via DCF. Calculate terminal value using either a perpetuity growth model or an exit multiple approach. Derive NPV, IRR, and payback period. Run sensitivity tables across discount rate and growth rate ranges.
Stress Test and Summarize Run bear/base/bull scenarios by varying 2-3 key assumptions. Present results in a summary table showing the range of outcomes. Highlight which assumptions have the most impact on valuation.
Provide your business assumptions, historical financials (if available), and the type of model you need. Specify the projection period and any specific metrics you want calculated.
Example prompt:
Build a 3-year monthly P&L projection for a B2B SaaS startup. Starting MRR is $45K, growing 8% month-over-month for year 1, decelerating to 5% in year 2 and 3% in year 3. Gross margin is 78%. Opex starts at $60K/month and grows 4% monthly. Show EBITDA and cash position.
Input: B2B SaaS, $45K starting MRR, 8%/5%/3% MoM growth by year, 78% gross margin, $60K starting opex growing 4% monthly.
Output (Year-End Summary):
| Metric | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Annual Revenue | $853,971 | $1,753,589 | $2,754,401 |
| COGS (22%) | $187,874 | $385,790 | $605,968 |
| Gross Profit | $666,097 | $1,367,799 | $2,148,433 |
| Operating Expenses | $901,548 | $1,443,408 | $2,310,943 |
| EBITDA | ($235,451) | ($75,609) | ($162,510) |
| EBITDA Margin | -27.6% | -4.3% | -5.9% |
| Cumulative EBITDA Deficit | ($235,451) | ($311,060) | ($473,570) |
This convention treats month 1 as the stated $45K MRR, applies 8% growth to months 2–12, 5% to months 13–24, and 3% to months 25–36. Monthly EBITDA remains negative because gross-profit dollars never overtake opex; the cumulative EBITDA deficit reaches about $474K. Actual cash position cannot be calculated without starting cash, working-capital, capex, tax, and financing assumptions. The plan therefore needs an explicit cash buffer and slower opex growth, and it does not support a conclusion about financing sufficiency on its own.
Input: Target business generates $500K annual UFCF, growing 6% per year for 5 years. WACC is 12%. Terminal growth rate 2.5%. Acquisition price $2.1M.
Output:
| Year | UFCF | Discount Factor | PV of UFCF |
|---|---|---|---|
| 1 | $530,000 | 0.893 | $473,214 |
| 2 | $561,800 | 0.797 | $447,864 |
| 3 | $595,508 | 0.712 | $423,871 |
| 4 | $631,238 | 0.636 | $401,163 |
| 5 | $669,113 | 0.567 | $379,673 |
The modeled enterprise value exceeds the stated purchase price under these assumptions, but that is not enough to call the transaction accretive or a clear buy. Calculate equity value, financing cash flows, transaction costs, taxes, and an explicit exit or holding-period cash-flow schedule before reporting NPV or IRR. Stress-test WACC, terminal growth, operating performance, and downside cases.
© seb1n, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in finance-and-accounting/financial-modeling of seb1n/awesome-ai-agent-skills.
Open the folder on GitHubat commit 75865a5
Financial Modeling 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 |
|---|---|---|---|---|---|---|
| Financial Modeling this skillseb1n/awesome-ai-agent-skills | 206 | — | ~2k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Equity ResearchrollingSirius/equity-research-skill | 453 | — | ~1.5k | Automated safety check: Pass | MIT | |
| SaaS Metrics Coachrongxinzy/RongxinAI | 154 | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Startup Financial Modelingnicepkg/auto-company | 194 | 11 repos | ~2.8k | Automated safety check: Pass | None | |
| Stock Value AnalyzerFunnyKun/stock-value-analyzer | 140 | — | ~3.3k | Automated safety check: Pass | None |
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Categories
Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data. Financial Modeling is an agent skill from seb1n/awesome-ai-agent-skills. Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data.
Financial Modeling fits situations like: the user requests financial modeling; provides relevant inputs for this workflow.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill financial-modeling -a claude-code`. Or copy the skill folder (finance-and-accounting/financial-modeling in seb1n/awesome-ai-agent-skills) into .claude/skills/financial-modeling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill financial-modeling -a codex`. Or copy the skill folder (finance-and-accounting/financial-modeling in seb1n/awesome-ai-agent-skills) into .agents/skills/financial-modeling 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 seb1n/awesome-ai-agent-skills --skill financial-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/financial-modeling, .gemini/skills/financial-modeling, .github/skills/financial-modeling and .opencode/skills/financial-modeling in your project.
SKILL.md names no scripts, command-line tools or credentials: Financial Modeling is instructions for the agent only.
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. Review the folder before installing.
Financial Modeling is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k 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 Financial Modeling: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Equity Research (rollingSirius/equity-research-skill, 453 stars), SaaS Metrics Coach (rongxinzy/RongxinAI, 154 stars) and Startup Financial Modeling (nicepkg/auto-company, 194 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on August 9, 2026.
Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.