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startup-design

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.

Install with Tessl CLI

npx tessl i github:ferdinandobons/startup-skill --skill startup-design
What are skills?

94

1.73x

Does it follow best practices?

Evaluation99%

1.73x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

41%

Startup Intake Brief

Intake document structure and standards

Criteria
Without context
With context

Kebab-case project folder

100%

100%

Correct brief file path

100%

100%

PROGRESS.md at root

100%

100%

PROGRESS.md contains project name

100%

100%

PROGRESS.md has 8-phase checklist

0%

100%

PROGRESS.md Notes section

100%

100%

Standard file header in brief.md

50%

100%

Standard Flags footer in brief.md

0%

100%

Sources section in brief.md

0%

100%

Claim labels used

20%

100%

Hard questions included

70%

100%

Open questions documented

100%

100%

PROGRESS.md start date

80%

100%

PROGRESS.md language field

0%

100%

Without context: $0.4261 · 2m 28s · 20 turns · 26 in / 6,708 out tokens

With context: $0.5165 · 2m 13s · 20 turns · 268 in / 5,933 out tokens

100%

26%

Market Research for Legal Document Automation Startup

Research wave methodology and output structure

Criteria
Without context
With context

Raw files in raw/ subfolder

100%

100%

All 5 synthesis files present

100%

100%

Research gate file present

100%

100%

Competitor comparison matrix

60%

100%

Confidence dashboard format

50%

100%

Source tier labels used

0%

100%

Quantified claims

100%

100%

Knowledge-Based markers (if applicable)

87%

100%

Data gaps declared

100%

100%

Cross-referencing evidence

83%

100%

Sequential wave evidence

66%

100%

PROGRESS.md updated

100%

100%

Flags footer present

28%

100%

Without context: $1.4613 · 10m 14s · 39 turns · 43 in / 28,789 out tokens

With context: $2.6521 · 17m 9s · 41 turns · 7,457 in / 46,831 out tokens

99%

59%

Quick Business Validation: AI-Powered Inventory Alerts for Independent Retailers

Fast track mode and validation deliverables

Criteria
Without context
With context

Fast Track activated

0%

100%

Brainstorm count ≤3

0%

100%

Brand phase skipped

100%

100%

Product phase skipped

100%

100%

Lean Canvas in strategy

0%

100%

Scorecard with verdict

75%

100%

Unambiguous verdict paragraph

100%

100%

Kill criteria present

50%

87%

Validation experiments ≤3 detailed

0%

100%

Claim labels used

0%

100%

README anti-pattern check

0%

100%

README executive summary

100%

100%

PROGRESS.md 8-phase checklist

0%

100%

Without context: $0.7449 · 5m 3s · 26 turns · 31 in / 14,313 out tokens

With context: $1.8621 · 10m 29s · 41 turns · 1,711 in / 28,271 out tokens

Evaluated
Agent
Claude Code
Model
Unknown

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.