Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Build M&A accretion/dilution workbooks in Excel. An agent skill from Luciole-Studio/Misaka-Agent.
Install Merger Model
$ npx skills add Luciole-Studio/Misaka-Agent --skill merger-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent merger-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/merger-model .claude/skills/merger-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 "merger-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/merger-model into .claude/skills/merger-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "merger-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/merger-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 merger-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent merger-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/merger-model .agents/skills/merger-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 "merger-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/merger-model into .agents/skills/merger-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "merger-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 merger-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent merger-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/merger-model .cursor/skills/merger-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 "merger-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/merger-model into .cursor/skills/merger-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "merger-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/merger-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 merger-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent merger-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/merger-model .gemini/skills/merger-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 "merger-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/merger-model into .gemini/skills/merger-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "merger-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 merger-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 merger-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/merger-model .github/skills/merger-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 "merger-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/merger-model into .github/skills/merger-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "merger-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 merger-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 merger-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/merger-model .opencode/skills/merger-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 "merger-model" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/finance/merger-model into .opencode/skills/merger-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "merger-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.
Facts
- Skill name
merger-model- GitHub stars
- 158
- Used in
- 2 other repos
- Token cost
- ~1.3k tokens
- SKILL.md length
- 584 words
- Files
- 1
- Skills in repo
- 77
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Build M&A accretion/dilution workbooks in Excel. An agent skill from Luciole-Studio/Misaka-Agent.
- Works in 7 steps: Gather Inputs → Purchase Price Analysis → Sources & Uses → …
- Tasks that involve Excel spreadsheets
- SKILL.md covers Environment, Workflow, Important Notes and Data sources — MCP first, web…, plus 1 more section
- Calls python; reaches sec.gov
What it does
Merger Model is an agent skill from Luciole-Studio/Misaka-Agent. Build M&A accretion/dilution workbooks in Excel.
Its SKILL.md is about 1.3k 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. The repository describes itself as: A multi-agent research system for the humanities and social sciences. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Excel spreadsheets
Example prompts
- “/merger-model”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3bcf7a3. 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
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
sec.gov
Also links to:
github.com
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
Merger Model loads about 1.3k tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 584 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.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from Luciole-Studio/Misaka-Agent at commit 3bcf7a3, republished under its Apache-2.0 licence (© Luciole-Studio). 584 words, ~1,322 tokens.
Download SKILL.mdSave it as
.claude/skills/merger-model/SKILL.md (or your agent's skills folder).- name
- merger-model
- description
- Build M&A accretion/dilution workbooks in Excel.
- version
- 1.0.0
- author
- Anthropic (adapted by Nous Research)
- license
- Apache-2.0
- platforms
- linux, macos, windows
Environment
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.
Merger Model
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms.
Workflow
Step 1: Gather Inputs
Acquirer:
- Company name, current share price, shares outstanding
- LTM and NTM EPS (GAAP and adjusted)
- P/E multiple
- Pre-tax cost of debt, tax rate
- Cash on balance sheet, existing debt
Target:
- Company name, current share price, shares outstanding (if public)
- LTM and NTM EPS or net income
- Enterprise value or equity value
Deal Terms:
- Offer price per share (or premium to current)
- Consideration mix: % cash vs. % stock
- New debt raised to fund cash portion
- Expected synergies (revenue and cost) and phase-in timeline
- Transaction fees and financing costs
- Expected close date
Step 2: Purchase Price Analysis
| Item | Value |
|---|---|
| Offer price per share | |
| Premium to current | |
| Equity value | |
| Plus: net debt assumed | |
| Enterprise value | |
| EV / EBITDA implied | |
| P/E implied |
Step 3: Sources & Uses
| Sources | $ | Uses | $ |
|---|---|---|---|
| New debt | Equity purchase price | ||
| Cash on hand | Refinance target debt | ||
| New equity issued | Transaction fees | ||
| Financing fees | |||
| Total | Total |
Step 4: Pro Forma EPS (Accretion / Dilution)
Calculate year-by-year (Year 1-3):
| Standalone | Pro Forma | Accretion/(Dilution) | |
|---|---|---|---|
| Acquirer net income | |||
| Target net income | |||
| Synergies (after tax) | |||
| Foregone interest on cash (after tax) | |||
| New debt interest (after tax) | |||
| Intangible amortization (after tax) | |||
| Pro forma net income | |||
| Pro forma shares | |||
| Pro forma EPS | |||
| Accretion / (Dilution) % |
Step 5: Sensitivity Analysis
Accretion/Dilution vs. Synergies and Offer Premium:
| $0M syn | $25M syn | $50M syn | $75M syn | $100M syn | |
|---|---|---|---|---|---|
| 15% premium | |||||
| 20% premium | |||||
| 25% premium | |||||
| 30% premium |
Accretion/Dilution vs. Cash/Stock Mix:
| 100% cash | 75/25 | 50/50 | 25/75 | 100% stock | |
|---|---|---|---|---|---|
| Year 1 | |||||
| Year 2 |
Step 6: Breakeven Synergies
Calculate the minimum synergies needed for the deal to be EPS-neutral in Year 1.
Step 7: Output
- Excel workbook with:
- Assumptions tab
- Sources & uses
- Pro forma income statement
- Accretion/dilution summary
- Sensitivity tables
- Breakeven analysis
- One-page merger consequences summary for pitch book
Show full SKILL.md (227 more words)Show less
Important Notes
- Always show both GAAP and adjusted (cash) EPS where relevant
- Stock deals: use acquirer's current price for exchange ratio, note dilution from new shares
- Include purchase price allocation — goodwill and intangible amortization matter for GAAP EPS
- Synergy phase-in is critical — Year 1 is often only 25-50% of run-rate synergies
- Don't forget foregone interest income on cash used and new interest expense on debt raised
- Tax rate on synergies and interest adjustments should match the acquirer's marginal rate
Data sources — MCP first, web fallback
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:
- If you have any structured financial-data MCP configured (Hermes supports MCP — see
native-mcpskill), prefer it for point-in-time comps, precedent transactions, and filings. - Otherwise, fall back to:
web_search/web_extractagainst SEC EDGAR (https://www.sec.gov/cgi-bin/browse-edgar) for US filings- Company IR pages for press releases, earnings decks
browser_navigatefor interactive data portals- User-provided data (explicitly ask when the context doesn't have it)
- Never fabricate. If a multiple, precedent, or filing number can't be sourced, flag the cell as
[UNSOURCED]and surface it to the user.
Attribution
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
Files
Just SKILL.md in misaka/core/skills/assets/optional/finance/merger-model of Luciole-Studio/Misaka-Agent.
Open the folder on GitHubat commit 3bcf7a3
Used in 2 other repositories
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.
Compare with similar skills
Merger 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 |
|---|---|---|---|---|---|---|
| Merger Model this skillLuciole-Studio/Misaka-Agent | 158 | 2 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Docx4jplutext/docx4j | 2.4k | — | ~2.5k | Automated safety check: Pass | None | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Cyber Pptcrazyykhllc-bit/CyberPPT | 1.8k | — | ~10k | Automated safety check: Pass | MIT |
Similar skills
- Official
Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
Docx4j
plutext/docx4j
A skill your agent uses when writing Java code that creates, reads or edits Word (.docx), PowerPoint (.pptx) or Excel (.xlsx) files with docx4j — including generating documents, editing existing…
- Official
Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
Cyber Ppt
crazyykhllc-bit/CyberPPT
当用户需要把 DOCX、PDF、TXT、XLSX、研究报告、业务材料或原始数据转成高密度、可编辑、咨询风格 PPTX 时使用；也适用于需要 SCR 论证、视觉风格探索、详细图表和渲染质检的 PPT。
Jev SEO
AgriciDaniel/jev-seo
Full live SEO audit of any website from its homepage URL, powered by Jev (TypeSafe's System One model).
More from Luciole-Studio/Misaka-Agent
All 77 skills in this repoKanban Video Orchestrator
Luciole-Studio/Misaka-Agent
Plan and run multi-agent video production pipelines. An agent skill from Luciole-Studio/Misaka-Agent.
Ast Grep
Luciole-Studio/Misaka-Agent
AST-aware structural code search and rewrite via ast-grep. An agent skill from Luciole-Studio/Misaka-Agent.
Drug Discovery
Luciole-Studio/Misaka-Agent
Drug discovery: ChEMBL search, drug-likeness, interactions. An agent skill from Luciole-Studio/Misaka-Agent.
Fitness Nutrition
Luciole-Studio/Misaka-Agent
Workout planning, macros, and body metrics via wger/USDA. An agent skill from Luciole-Studio/Misaka-Agent.
Hyperframes
Luciole-Studio/Misaka-Agent
Render MP4/WebM videos from HTML compositions. An agent skill from Luciole-Studio/Misaka-Agent.
Osint Investigation
Luciole-Studio/Misaka-Agent
Follow the money via public records and sanctions data. An agent skill from Luciole-Studio/Misaka-Agent.
Related
Works with
Categories
Questions about Merger Model
What does Merger Model do?
Build M&A accretion/dilution workbooks in Excel. An agent skill from Luciole-Studio/Misaka-Agent. Merger Model is an agent skill from Luciole-Studio/Misaka-Agent. Build M&A accretion/dilution workbooks in Excel.
When should I use Merger Model?
Merger Model fits situations like: tasks that involve Excel spreadsheets.
How do I install Merger Model in Claude Code?
Run `npx skills add Luciole-Studio/Misaka-Agent --skill merger-model -a claude-code`. Or copy the skill folder (misaka/core/skills/assets/optional/finance/merger-model in Luciole-Studio/Misaka-Agent) into .claude/skills/merger-model in your project. Claude Code loads it when a task matches its description.
How do I install Merger Model in Codex?
Run `npx skills add Luciole-Studio/Misaka-Agent --skill merger-model -a codex`. Or copy the skill folder (misaka/core/skills/assets/optional/finance/merger-model in Luciole-Studio/Misaka-Agent) into .agents/skills/merger-model in your project. Codex loads it when a task matches its description.
Can I use Merger Model 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 Luciole-Studio/Misaka-Agent --skill merger-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/merger-model, .gemini/skills/merger-model, .github/skills/merger-model and .opencode/skills/merger-model in your project.
What does Merger Model need to run?
Going by SKILL.md and its folder, Merger Model needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Merger Model access the network?
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.
Is Merger Model 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. Review the folder before installing.
What licence does Merger Model use?
Merger 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.
How many tokens does Merger Model use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 Merger Model?
Skills that share tags, products or a category with Merger Model: Markitdown (ImCa0/just-laws, 782 stars), Data Table Manager (n8n-io/n8n, 207k stars), Docx4j (plutext/docx4j, 2.4k stars) and Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Merger Model?
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.