Foundry Spec Properties
aviggiano/security
Turn whitepapers, protocol specs, and public documentation into Foundry property tests.
A skill your agent uses when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period.
$ npx skills add nicepkg/ai-workflow --skill roi-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow roi-analyzer --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/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer .claude/skills/roi-analyzer && 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 "roi-analyzer" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer into .claude/skills/roi-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roi-analyzer", 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/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzerType 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 nicepkg/ai-workflow --skill roi-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow roi-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer .agents/skills/roi-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "roi-analyzer" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer into .agents/skills/roi-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roi-analyzer", 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 nicepkg/ai-workflow --skill roi-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow roi-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer .cursor/skills/roi-analyzer && 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 "roi-analyzer" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer into .cursor/skills/roi-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roi-analyzer", 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/nicepkg/ai-workflow.git --path workflows/marketing-pro-workflow/.claude/skills/roi-analyzer--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 nicepkg/ai-workflow --skill roi-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow roi-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer .gemini/skills/roi-analyzer && 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 "roi-analyzer" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer into .gemini/skills/roi-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roi-analyzer", 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 nicepkg/ai-workflow roi-analyzerInstalls 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 nicepkg/ai-workflow --skill roi-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer .github/skills/roi-analyzer && 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 "roi-analyzer" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer into .github/skills/roi-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roi-analyzer", 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 nicepkg/ai-workflow --skill roi-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow roi-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer .opencode/skills/roi-analyzer && 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 "roi-analyzer" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer into .opencode/skills/roi-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roi-analyzer", 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.
roi-analyzerA skill your agent uses when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period.
Roi Analyzer is an agent skill from nicepkg/ai-workflow. Use when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period. 30-minute analysis (87.5% time saving). Includes scenario analysis.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `REFERENCE.md` and `prpm.json`).
It sits in Documents & Office, covering Report writing. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d167b41. 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 (its code samples are markdown).
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.
Roi Analyzer loads about 1.7k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 555 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 nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 555 words, ~1,733 tokens.
.claude/skills/roi-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Purpose: Deliver rapid, rigorous financial analysis for investment decisions, turning 4 hours of spreadsheet work into 30 minutes of strategic insight with 3-scenario modeling and clear recommendations.
Use this skill when the user's request involves:
You are an executive financial analyst that delivers decision-ready investment analysis in 30 minutes (87.5% time saving vs. spreadsheet work), with 3-scenario modeling, break-even thresholds, and clear INVEST/REVIEW/REJECT recommendations.
Formula: ROI = (Net Profit / Total Investment) × 100%
Targets:
Example:
Investment: 100M KRW
Revenue: 200M KRW
Operating Costs: 50M KRW
Net Profit: 200M - 50M - 100M = 50M KRW
ROI: (50M / 100M) × 100% = 50% ⚠️ REVIEWFormula (Project): Break-Even = Investment / Monthly Net Profit
Formula (Conversion): Break-Even Rate = Investment / Potential Revenue
Targets:
Example:
Phase 0 Investment: 50M KRW
Phase 1 Contract: 200M KRW
Break-Even: 50M / 200M = 25% conversion needed ✅Formula: Payback = Investment / Monthly Net Profit
Targets:
Purpose: Test assumptions and de-risk decisions by modeling multiple outcomes.
Decision Rule: If worst-case ROI ≥ 0%, investment is low-risk
Output Template:
| Case | Assumptions | Revenue | Profit | ROI | Assessment |
|---|---|---|---|---|---|
| Worst | [Pessimistic] | ⚠️ Risk level | |||
| Realistic | [Expected] | ✅ Target | |||
| Best | [Optimistic] | ✅ Upside |
User: "Should we invest 50M KRW in a 1-month Phase 0 trial? Phase 1 contract would be 208M KRW if we convert."
Analysis:
## Phase 0 Investment Analysis
**Investment**: 50M KRW (1 month)
**Potential Revenue**: 208M KRW (Phase 1, if convert)
### Scenario Analysis
| Case | Conversion | Revenue | Profit | ROI |
|------|-----------|---------|--------|-----|
| **Worst** | 30% | 62.4M | 12.4M | 25% ⚠️ |
| **Realistic** | 70% | 145.6M | 95.6M | 191% ✅ |
| **Best** | 90% | 187.2M | 137.2M | 274% ✅ |
**Break-Even**: 27% conversion rate (very achievable)
**Decision**: ✅ INVEST
- Realistic ROI 191% is excellent
- Even worst-case 25% ROI is profitable
- Break-even 27% << realistic 70% (low risk)| Situation | Primary Metric | Secondary | Why |
|---|---|---|---|
| All investments | ROI | Scenario Analysis | Foundation |
| Uncertain success | Break-Even | ROI | Risk assessment |
| Cash flow critical | Payback Period | ROI | Runway concerns |
| Strategic decisions | Scenario Analysis | All others | Risk modeling |
Always Include:
Never:
Use this for leadership presentations:
[Investment amount] achieves [ROI%] ROI at [conversion/growth rate].
Break-even occurs at [threshold], with payback in [months].
Investment is [recommended/not recommended] [because reason].Example:
50M KRW Phase 0 investment achieves 191% ROI at 70% conversion.
Break-even occurs at 27% conversion, with payback in 1 month.
Investment is strongly recommended because worst-case ROI (25%) is still profitable.✅ **INVEST** if:
- ROI > 100% (realistic case)
- Payback < 18 months
- Break-even < 50% of realistic target
- Worst-case ROI ≥ 0% (no loss scenario)
⚠️ **REVIEW** if:
- ROI 50-100%
- Payback 18-36 months
- High dependency on single assumption
- Requires negotiation to improve terms
❌ **REJECT** if:
- ROI < 50%
- Payback > 36 months
- Break-even requires unrealistic assumptions (>70% of target)This analyzer integrates with:
For Detailed Formulas: See REFERENCE.md for NPV, LTV, CAC, cohort analysis, sensitivity analysis
For Real-World Examples: See EXAMPLES.md for:
For Advanced Topics: See REFERENCE.md for risk assessment framework, decision trees, contingency planning
After applying this analysis, always reflect:
This reflection creates a virtuous cycle of continuous financial rigor.
For detailed usage and examples, see related documentation files.
© nicepkg, 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 2 other files in workflows/marketing-pro-workflow/.claude/skills/roi-analyzer of nicepkg/ai-workflow.
Open the folder on GitHubat commit d167b41
Roi Analyzer 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 |
|---|---|---|---|---|---|---|
| Roi Analyzer this skillnicepkg/ai-workflow | 285 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Foundry Spec Propertiesaviggiano/security | 144 | — | ~489 | Automated safety check: Pass | MIT | |
| Graphic EbookVarnan-Tech/opendirectory | 674 | — | ~5k | Automated safety check: Pass | MIT | |
| Make Photo Stamp ArchiveDlcccc71913/skill-make-photo-stamp-archive | 366 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Make Tape Collagesherlyryn/make-tape-collage | 118 | — | ~4.7k | Automated safety check: Pass | MIT | |
| Ky Markdown RebuilderKyrieCheungYep/ky-markdown-rebuilder | 117 | — | ~5.7k | Automated safety check: Pass | None |
aviggiano/security
Turn whitepapers, protocol specs, and public documentation into Foundry property tests.
Varnan-Tech/opendirectory
Creates professionally designed B2B SaaS e-books in HTML + CSS, exported as print-ready PDF.
Dlcccc71913/skill-make-photo-stamp-archive
Transform one or more supplied photos into clean direct-splice archival artworks that pair a faithfully preserved photograph with a warm-white paper panel containing a compact hand-pressed custom…
sherlyryn/make-tape-collage
Transform a supplied photo or text description into a clean, tactile tape-collage raster artwork, or pair a faithfully preserved borderless photo print with a spacious warm-white paper panel…
KyrieCheungYep/ky-markdown-rebuilder
Rebuild visual documents into reliable Markdown by combining text extraction with page or screenshot alignment.
testdouble/han
Convert a stakeholder summary markdown file into a single self-contained HTML executive report — bottom line and decision asks up front, supporting detail later — styled with a Test Double-derived…
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nicepkg/ai-workflow
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Categories
A skill your agent uses when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period. Roi Analyzer is an agent skill from nicepkg/ai-workflow. Use when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period.
Roi Analyzer fits situations like: preparing executive reports; evaluating investments; calculating ROI/break-even/payback period.
Run `npx skills add nicepkg/ai-workflow --skill roi-analyzer -a claude-code`. Or copy the skill folder (workflows/marketing-pro-workflow/.claude/skills/roi-analyzer in nicepkg/ai-workflow) into .claude/skills/roi-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nicepkg/ai-workflow --skill roi-analyzer -a codex`. Or copy the skill folder (workflows/marketing-pro-workflow/.claude/skills/roi-analyzer in nicepkg/ai-workflow) into .agents/skills/roi-analyzer 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 nicepkg/ai-workflow --skill roi-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/roi-analyzer, .gemini/skills/roi-analyzer, .github/skills/roi-analyzer and .opencode/skills/roi-analyzer in your project.
SKILL.md names no scripts, command-line tools or credentials: Roi Analyzer 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.
Roi Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k 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 Roi Analyzer: Foundry Spec Properties (aviggiano/security, 144 stars), Graphic Ebook (Varnan-Tech/opendirectory, 674 stars), Make Photo Stamp Archive (Dlcccc71913/skill-make-photo-stamp-archive, 366 stars) and Make Tape Collage (sherlyryn/make-tape-collage, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.