Excel Workbook Editor
TokenRhythm/opensquilla
Inspects, edits in place or creates Microsoft Excel .xlsx workbooks with openpyxl, treating each cell as a typed number, string, datetime or formula value.
Build leveraged buyout workbooks with IRR/MOIC in Excel. An agent skill from Luciole-Studio/Misaka-Agent.
$ npx skills add Luciole-Studio/Misaka-Agent --skill lbo-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent lbo-model --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/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/misaka/core/skills/assets/optional/finance/lbo-model .claude/skills/lbo-model && 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 "lbo-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-model into .claude/skills/lbo-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lbo-model", 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/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-modelType 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 Luciole-Studio/Misaka-Agent --skill lbo-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent lbo-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/misaka/core/skills/assets/optional/finance/lbo-model .agents/skills/lbo-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lbo-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-model into .agents/skills/lbo-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lbo-model", 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 Luciole-Studio/Misaka-Agent --skill lbo-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent lbo-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/misaka/core/skills/assets/optional/finance/lbo-model .cursor/skills/lbo-model && 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 "lbo-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-model into .cursor/skills/lbo-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lbo-model", 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/Luciole-Studio/Misaka-Agent.git --path misaka/core/skills/assets/optional/finance/lbo-model--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 Luciole-Studio/Misaka-Agent --skill lbo-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent lbo-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/misaka/core/skills/assets/optional/finance/lbo-model .gemini/skills/lbo-model && 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 "lbo-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-model into .gemini/skills/lbo-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lbo-model", 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 Luciole-Studio/Misaka-Agent lbo-modelInstalls 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 Luciole-Studio/Misaka-Agent --skill lbo-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/misaka/core/skills/assets/optional/finance/lbo-model .github/skills/lbo-model && 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 "lbo-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-model into .github/skills/lbo-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lbo-model", 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 Luciole-Studio/Misaka-Agent --skill lbo-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent lbo-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/misaka/core/skills/assets/optional/finance/lbo-model .opencode/skills/lbo-model && 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 "lbo-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/lbo-model into .opencode/skills/lbo-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lbo-model", 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.
lbo-modelBuild leveraged buyout workbooks with IRR/MOIC in Excel. An agent skill from Luciole-Studio/Misaka-Agent.
Lbo Model is an agent skill from Luciole-Studio/Misaka-Agent. Build leveraged buyout workbooks with IRR/MOIC in Excel.
Its SKILL.md is about 4.2k 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 Documents & Office, covering Excel spreadsheets. It works with Microsoft Excel, Python and openpyxl. The repository describes itself as: A multi-agent research system for the humanities and social sciences. The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3bcf7a3. 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.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
sec.govAlso links to:
github.comFrom 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.
Lbo Model loads about 4.2k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 2,165 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 Luciole-Studio/Misaka-Agent at commit 3bcf7a3, republished under its Apache-2.0 licence (© Luciole-Studio). 2,165 words, ~4,210 tokens.
.claude/skills/lbo-model/SKILL.md (or your agent's skills folder).This skill assumes headless openpyxl — you are producing an .xlsx file on disk.
Follow the excel-author skill's conventions for cell coloring, formulas, named ranges, and sensitivity tables.
Recalculate before delivery: python /path/to/excel-author/scripts/recalc.py ./out/model.xlsx.
This skill uses templates for LBO models. Always check for an attached template file first.
Before starting any LBO model:
examples/LBO_Model.xlsx as your starting point and populate it with the user's assumptionsIMPORTANT: When a file like LBO_Model.xlsx is attached, you MUST use it as your template - do not build from scratch. Even if the template seems complex or has more features than needed, copy it and adapt it to the user's requirements. Never decide to "build from scratch" when a template is provided.
Use Python/openpyxl. Write formula strings (ws["D20"] = "=B5*B6"), then run the excel-author skill's recalc.py helper before delivery.
cell.value = "=B5*B6" (formula string), NOT cell.value = 1250 (computed result). The model must be dynamic and update when inputs change.examples/LBO_Model.xlsx or the user's provided template. Do not invent your own layout.=B4*B5, =SUM(), =-MAX(0,B4))=B9, =B45)=Assumptions!B5, ='Operating Model'!C10)#1F4E79 with white bold text#D9E1F2 with black bold text#F2F2F2 (or just white) — the blue font is the signal, fill is secondary#BDD7EE with black bold text$#,##0;($#,##0);"-" or $#,##0.0 depending on template0.0% (one decimal)0.0"x" (one decimal)0.00"x" (two decimals for precision)Before filling any formulas:
Before filling any formulas, examine the template thoroughly:
Map the structure - Identify where each section lives and how they relate to each other. Note which sections feed into others.
Understand the timeline - Which columns represent which periods? Is there a "Closing" or "Pro Forma" column? Where does the projection period start?
Identify input vs formula cells - Templates often use color coding, borders, or shading to indicate which cells need inputs vs formulas. Respect these conventions.
Read existing labels carefully - The row labels tell you exactly what calculation is expected. Don't assume - read what the template is asking for.
Check for existing formulas - Some templates come partially filled. Don't overwrite working formulas unless specifically asked.
Note template-specific conventions - Sign conventions, subtotal structures, how sections are organized, whether there are separate tabs for different components, etc.
For each cell that needs a formula, follow this hierarchy:
The following calculation patterns frequently cause issues across LBO models. Pay special attention when you encounter these:
[8.0x, 9.0x, 10.0x, 11.0x, 12.0x]). The center cell's IRR/MOIC MUST then equal the model's actual IRR/MOIC output — this is the proof the table is wired correctly.#BDD7EE) + bold font so the base case is visually anchored.$A5 for row input, B$4 for column input)python /path/to/excel-author/scripts/recalc.py model.xlsxMust return success with zero errors.
[base-2Δ, base-Δ, base, base+Δ, base+2Δ])#BDD7EE, bold font)| Error | What Goes Wrong | How to Fix |
|---|---|---|
| Hardcoding calculated values | Model doesn't update when inputs change | Always use formulas that reference source cells |
| Wrong cell references after copying | Formulas point to wrong cells | Verify all links, use appropriate $ anchoring |
| Circular reference errors | Model can't calculate | Use beginning balances for interest-type calcs, break the circle |
| Sections don't balance | Totals that should match don't | Ensure one item is the plug (calculated as difference) |
| Negative balances where impossible | Paying/using more than available | Use MAX(0, ...) or MIN functions appropriately |
| IRR/return errors | Wrong signs or incomplete ranges | Check cash flow signs and ensure formula covers all periods |
| Sensitivity table shows same value | Formula not varying with inputs | Check cell references - need mixed references ($A5, B$4) |
| Roll-forwards don't tie | Beginning ≠ prior ending | Verify links between periods |
| Inconsistent sign conventions | Additions become subtractions or vice versa | Follow template's convention consistently throughout |
This skill produces investment banking-quality LBO models by filling templates with correct formulas, proper formatting, and validated calculations. The skill adapts to any template structure while ensuring financial accuracy and professional presentation standards.
Many passages below say "use the S&P Kensho MCP / Daloopa MCP / FactSet MCP". Those are commercial financial-data MCPs from the original Cowork plugin context. In Hermes:
native-mcp skill), prefer it for point-in-time comps, precedent transactions, and filings.web_search / web_extract against SEC EDGAR (https://www.sec.gov/cgi-bin/browse-edgar) for US filingsbrowser_navigate for interactive data portals[UNSOURCED] and surface it to the user.This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the excel-author skill's conventions. Original: https://github.com/anthropics/financial-services
© Luciole-Studio, Apache-2.0. 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 misaka/core/skills/assets/optional/finance/lbo-model of Luciole-Studio/Misaka-Agent.
Open the folder on GitHubat commit 3bcf7a3
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Luciole-Studio/Misaka-Agent, which our catalogue first saw on October 7, 2026.
Lbo Model 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 |
|---|---|---|---|---|---|---|
| Lbo Model this skillLuciole-Studio/Misaka-Agent | 158 | 2 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Excel Workbook EditorTokenRhythm/opensquilla | 7.1k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Kimi XLSXthvroyal/kimi-skills | 238 | — | ~9.5k | Automated safety check: Pass | None | |
| Office XLSXopen-octo/octo-agent | 125 | — | ~1.8k | Automated safety check: Notes | MIT | |
| Cc Streaming Export Safetydoccker/cc-use-exp | 1.1k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| XLSXnexus-research-lab/nexus | 151 | — | ~501 | Automated safety check: Pass | Apache-2.0 |
TokenRhythm/opensquilla
Inspects, edits in place or creates Microsoft Excel .xlsx workbooks with openpyxl, treating each cell as a typed number, string, datetime or formula value.
thvroyal/kimi-skills
Specialized utility for advanced manipulation, analysis, and creation of spreadsheet files, including (but not limited to) XLSX, XLSM, CSV formats.
open-octo/octo-agent
Create, read, and edit Excel (.xlsx) spreadsheets programmatically with openpyxl — cell values, formulas, styling (fonts/fills/borders/alignment/number formats), merged cells, multiple sheets…
doccker/cc-use-exp
当实现用户驱动的大文件导出或批量序列化(Excel/CSV/JSON/JSONL/PDF,数据量未知或超过 1 万行/10 MB)时触发;普通小文件下载、静态资源下载、非导出 Writer/Report 类不触发。防止 OOM、临时文件残留、同步导出阻塞 HTTP 线程和表格公式注入。
nexus-research-lab/nexus
只要电子表格文件(.xlsx、.xlsm、旧版 .xls、.csv、.tsv)是任务的主要输入或输出,或者需要 被打开、读取、创建、修改,就使用本 Skill。也适用于公式、格式、图表、数据清洗和表格格式转换。
singula-ai/alego
Read, create, and modify Excel workbooks (.xlsx), including data, formulas, formatting, and pandas analysis.
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Works with
Categories
Build leveraged buyout workbooks with IRR/MOIC in Excel. An agent skill from Luciole-Studio/Misaka-Agent. Lbo Model is an agent skill from Luciole-Studio/Misaka-Agent. Build leveraged buyout workbooks with IRR/MOIC in Excel.
Lbo Model fits situations like: tasks that involve Excel spreadsheets.
Run `npx skills add Luciole-Studio/Misaka-Agent --skill lbo-model -a claude-code`. Or copy the skill folder (misaka/core/skills/assets/optional/finance/lbo-model in Luciole-Studio/Misaka-Agent) into .claude/skills/lbo-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Luciole-Studio/Misaka-Agent --skill lbo-model -a codex`. Or copy the skill folder (misaka/core/skills/assets/optional/finance/lbo-model in Luciole-Studio/Misaka-Agent) into .agents/skills/lbo-model 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 Luciole-Studio/Misaka-Agent --skill lbo-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lbo-model, .gemini/skills/lbo-model, .github/skills/lbo-model and .opencode/skills/lbo-model in your project.
Going by SKILL.md and its folder, Lbo Model needs the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: sec.gov; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. 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.
Lbo Model is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k 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 Lbo Model: Excel Workbook Editor (TokenRhythm/opensquilla, 7.1k stars), Kimi XLSX (thvroyal/kimi-skills, 238 stars), Office XLSX (open-octo/octo-agent, 125 stars) and Cc Streaming Export Safety (doccker/cc-use-exp, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Luciole-Studio (a GitHub organization) maintains it in Luciole-Studio/Misaka-Agent, which has 158 GitHub stars. The repository holds 77 skills in this directory. The repository was last updated on October 8, 2026.
Source: Luciole-Studio/Misaka-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.