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business-case-analyzer

Analyze a business or product idea through opportunity framing and solution shaping, then write back the durable outcomes into the llm-os project docs.

Skill by armin-haghi

IndexedMIT★ 1
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/armin-haghi-business-case-analyzer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze a business or product idea through opportunity framing and solution shaping, then write back the durable outcomes into the llm-os project docs.

Use cases: ml, writing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/business-case-analyzer

What's inside

Skill name
business-case-analyzer
Description
Analyze a business or product idea through opportunity framing and solution shaping, then write back the durable outcomes into the llm-os project docs.
License
MIT
Instructions
210 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Business Case Analyzer

Use this skill when the user has a business idea, product concept, startup
thesis, feature set, or commercial opportunity they want expanded,
pressure-tested, and shaped into a buildable direction.

This is an early-stage skill.
It fits best inside:
- `Opportunity framing`
- `Solution shaping`

It is not the core operating model.
It plugs into `llm-os` and should write its outcomes back into the canonical
project docs.

## Output modes

Choose one output mode before writing back.

### `Status-surface`
Use when:
- there is no repo yet
- the user wants comments and feedback before build
- the concept is still being shaped in `Opportunity framing` or `Solution shaping`

Write to one canonical status surface. That surface may be Notion, Confluence,
markdown, a tracker record, or another durable workspace. Do not treat the tool
choice as the operating model.

Minimum top block:
- `Status`
- `Stage`
- `Freshness`
- `Last reviewed`
- `Next decision`
- `Owner`
- `Canonical repo`
- `Execution surface`

Recommended sections:
1. `Summary`
2. `What this is`
3. `Who can pay`
4. `Value delivered`
5. `Market and alternatives`
6. `Key assumptions`
7. `Key risks`
8. `Current recommendation`
9. `Next decision`
10. `Next action`

Prefer updating the same surface over creating a new page or document for every
iteration.

If the chosen status-surface tool is unavailable, produce structured markdown so
it can be pasted into the canonical concept surface.

### `Repo-writeback`
Use when:
- a repo exists
- the project has a bounded first milestone
- active build is starting or already underway

Write to the repo's live project-doc surface and keep the external status
surface as summary, review, comment, run-dispatch, and human-decision support
rather than a second execution surface.

## Read path

Use the repo's live project-doc surface.
The default layout is `docs/`, but follow any repo-local override declared in
`AGENTS.md`.

Read only the smallest sufficient context:
1. `project-spine.md` on the live project-doc surface if it exists
2. `current-milestone.md` on the live project-doc surface if it exists
3. `open-questions.md` on the live project-doc surface only if needed
4. `session-brief.md` on the live project-doc surface only if needed

If the repo is not yet initialized:
- use the user's prompt as the working source
- prefer `Status-surface` output mode
- switch to `Repo-writeback` once the repo exists

## Goal

Turn a short business description into:
1. a sharper opportunity view
2. a clearer system and go-to-market shape
3. a bounded next milestone that can actually be executed

Do not stop at brainstorm prose.
The output should improve project clarity and reduce ambiguity.

## Phase 1 — Opportunity framing

Trigger:
- a short business idea
- a product concept
- a startup thesis
- a request to analyze whether an idea is worth building

Do:
- identify who can pay
- identify what value is delivered and what cost of inaction exists
- size the market roughly with reasoning
- identify competitors, substitutes, and structural constraints
- identify the distinct product components and which are differentiating
- identify the main commercial and execution risks
- make the load-bearing assumptions explicit

Questions at the end should be the smallest set that most changes the analysis.
Lead with synthesis first.

## Phase 2 — Solution shaping

Trigger:
- the user responds to Phase 1
- or says to go deeper

From armin-haghi/llm-os, MIT.

More from armin-haghi/llm-os

Signals

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Forks
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Open issues
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Last commit (this folder)
May 16, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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business-case-analyzer skill. Agent Mart. https://agentmart.dev/skills/armin-haghi-business-case-analyzer (last updated 2026-10-24)