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/startup-design

@a5f97c3

Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup idea to explore, wants to validate a business concept, needs a business plan or lean canvas, asks for market sizing or competitive landscape, wants brand positioning or go-to-market strategy, or says anything like "I have an idea for..." or "is this idea worth pursuing". Also handles resuming from a previous checkpoint.

Use this Skill: https://skilld.dev/gh/ferdinandobons/startup-skill/startup-design

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referencesresearch-scaling.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Research Scaling Protocol

Dynamic scaling adjusts research depth based on market complexity and user preference. Evaluated after intake, before research begins.

Complexity Score

Assess three factors from the intake data:

Factor Low (1) Medium (2) High (3)
Market breadth Ultra-niche, few players, well-defined segment Defined market, moderate competition Broad market, many segments, diverse players
Known competitors 0-2 identified 3-5 identified 6+ identified
Geographic scope Single country Regional (e.g., Europe, North America) Global or multi-region

Complexity score = sum of the three factors (range: 3-9)

Research Depth Tiers

Tier Score Range Manual Trigger Description
Light 3-4 User says "light", "quick", or "fast research" Quick scan, fewer agents, 2-3 search rounds
Standard 5-7 Default (no override needed) Current behavior, balanced depth
Deep 8-9 User says "deep", "thorough", or "deep research" More agents, 5-6 search rounds, extra coverage

Manual override always wins. If the user requests "light" on a score-9 market, use Light. If they request "deep" on a score-3 market, use Deep.

User Communication

After calculating the score, show this to the user:

## Research Depth

Based on your intake, I've assessed the research complexity:

| Factor           | Assessment          | Score |
|------------------|---------------------|-------|
| Market breadth   | {description}       | {1-3} |
| Known competitors| {N} identified      | {1-3} |
| Geographic scope | {description}       | {1-3} |

**Complexity score: {X}/9 — recommended depth: {Light/Standard/Deep}**

You can override this. Here's what each depth means:

| Depth        | Agents | Searches per agent | Best for                                      |
|--------------|--------|--------------------|-----------------------------------------------|
| **Light**    | {N}    | 2-3 rounds         | Quick scan, niche markets, time-sensitive decisions |
| **Standard** | {N}    | 3-4 rounds         | Most cases, balanced depth vs. speed           |
| **Deep**     | {N}    | 5-6 rounds         | Crowded markets, high-stakes decisions, thorough due diligence |

→ Type **light**, **deep**, or **ok** to accept the recommendation.

The agent counts shown should reflect the actual numbers for this skill (see Wave Configuration below).

Wave Configuration: startup-design

Light (3-4 score or user override)

Wave 1: Market Landscape (2 agents)

  • A1: Market Sizing & Economics (unchanged)
  • A2: Industry Trends, Timing & Regulatory (merge A2+A3 into one agent)

Wave 2: Competitive Analysis (2 agents)

  • B1: Direct Competitor Deep-Dives (unchanged)
  • B2: Indirect Competitors & GTM (merge B2+B3 into one agent)

Wave 3: Customer & Demand (2 agents)

  • C1: Customer Voice & Pain Points (unchanged)
  • C2: Demand Signals & Audience Profiling (merge C2+C3 into one agent)

Wave 4: Distribution (1 agent)

  • D1: Distribution & Geographic Entry (merge D1+D2 into one agent)
  • Skip Wave 4 entirely if market is local/single-country

Total: 6-7 agents (vs. 11 Standard), 2-3 search rounds per agent

Standard (5-7 score, default)

No changes to current wave structure:

  • Wave 1: 3 agents (A1, A2, A3)
  • Wave 2: 3 agents (B1, B2, B3)
  • Wave 3: 3 agents (C1, C2, C3)
  • Wave 4: 2 agents (D1, D2)

Total: 11 agents, 3-4 search rounds per agent

Deep (8-9 score or user override)

Wave 1: Market Landscape (4 agents)

  • A1: Market Sizing & Economics (unchanged)
  • A2: Industry Trends & Timing (unchanged)
  • A3: Regulatory & Compliance (unchanged)
  • A4: Adjacent Markets & Expansion (NEW: research adjacent verticals, whitespace, expansion paths)

Wave 2: Competitive Analysis (4 agents)

  • B1: Direct Competitor Deep-Dives (unchanged)
  • B2: Indirect Competitors & Substitutes (unchanged)
  • B3: Competitor Go-to-Market (unchanged)
  • B4: Emerging & Stealth Competitors (NEW: search for stealth startups, recent launches, pre-launch products in the space)

Wave 3: Customer & Demand (4 agents)

  • C1: Customer Voice & Pain Points (unchanged)
  • C2: Demand Signals & Market Validation (unchanged)
  • C3: Target Audience Profiling (unchanged)
  • C4: Pricing Deep-Dive (NEW: detailed pricing intelligence, WTP analysis, price sensitivity research)

Wave 4: Distribution & Partnerships (3 agents)

  • D1: Distribution Channel Deep-Dive (unchanged)
  • D2: Geographic & Market Entry (unchanged)
  • D3: Strategic Partnership Mapping (NEW: potential partners, integration opportunities, channel partnerships)

Total: 15 agents, 5-6 search rounds per agent

PROGRESS.md

Record the selected tier in PROGRESS.md:

- **Research Depth:** {Light/Standard/Deep} (score: {X}/9, {override: user request / auto})

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub23d

    The skill is a comprehensive startup planning tool that uses structured research phases and subagents for parallel processing. It is generally safe but possesses a potential surface for indirect prompt injection because it processes untrusted data from web search results and user-provided interviews to generate documentation and influence subsequent agent tasks.

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    Risk: MEDIUM · 1 issue

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    Score: 93/100 · 2 sections analyzed

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Last checked against GitHub 2 hours ago.

Steadyupdated 4 months ago

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