Idea eval
Skill pagoda111king/claude-code-pack/template/.claude/skills/idea-eval
Claude Code config pack · 11 agents · 10 skills · 10 commands · 4 hooks · CLAUDE.md template · Solo Founder OS
npx -y skills add pagoda111king/claude-code-pack --skill idea-evalAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
6-dimension scoring for product ideas. Use when founder wants to launch a new product/tool. ≥22 = golden idea, 15-21 = workable, <15 = skip. Avoid burning runway on unvalidated ideas.
SKILL.md
5.0 KB, as published. Nobody here has run it
Idea Evaluation · 6-Dim Scoring
When to use
- Founder says "I have an idea for X"
- Multiple candidate ideas need ranking
- Already started but having second thoughts (cold-start sanity check)
6-dim scoring (1-5 each, max 30)
| Dimension | 5 pts | 3 pts | 1 pt |
|---|---|---|---|
| Pain urgency | Target users bleed/rage daily over this | Occasional inconvenience | Won't notice if absent |
| Willingness to pay | Already paying for an inferior alternative | Will pay but price-sensitive | Free-only |
| Deliverability | You + Claude Code ship MVP in 2-4 weeks | 4-8 weeks + minor learning | Needs hardware / ML / regulatory approval |
| Differentiation | Unique angle / you have insider insight | Same as existing solutions | Red ocean and commoditized |
| Reusability | Can become SaaS / long-term compounding | Templatable, sells N times | One-off custom job |
| Channel fit | Can find 10 target users next week | Existing channels need warm-up | Total stranger group |
Process
Step 1 · Ask 5 questions
Make founder (or self) answer:
- Who is the target user? Specific: occupation, scale, location, age
- How do they solve it today? (Excel? Outsourcing? Manual? Some tool?)
- How much money / time do they spend on the current solution?
- Why now? (timing rationale)
- If a v1 ships in 2 weeks, who is the first paying customer? A specific person.
Can't answer Q5 = automatic 1 pt on Channel fit, skip the rest.
Step 2 · Score
Score each dimension using the 1-5 rubric.
Step 3 · Output evaluation report
# Idea Eval: [name]
## Summary
[one sentence]
## Target user profile
- Occupation:
- Scale:
- Geography:
- Current solution:
- Pain trigger frequency:
## 6-dim scores
| Dimension | Score | Rationale |
|---|---|---|
| Pain urgency | X/5 | ... |
| Willingness to pay | X/5 | ... |
| Deliverability | X/5 | ... |
| Differentiation | X/5 | ... |
| Reusability | X/5 | ... |
| Channel fit | X/5 | ... |
| **Total** | **X/30** | |
## Verdict
**Decision**: 🟢 Golden (≥22) / 🟡 Workable (15-21) / 🔴 Skip (<15)
## Biggest uncertainty
[What's the single most critical assumption? How to validate in 1 week at lowest cost?]
## If go: recommended path
- MVP scope: cut down to only ___ features
- Target launch: within 2 weeks
- First user acquisition: ___
- Success metric: ___ trial users, ___ paying users within 2 weeks of launch
- Kill metric: no paying user within ___ → cut
## If no go: recommendation
- Lighter validation: ___ (e.g., landing page for sign-ups, fake-door button)
- Or: which other idea to merge with?
Step 4 · Write to file
Save evaluation to products/<idea-slug>/EVAL.md (auto-create directory).
If founder evaluates multiple ideas at once, append a comparison row to docs/ideas/scorecard.md:
| Idea | Total | Verdict | Eval Date |
|---|---|---|---|
| ... | 22 | 🟢 | 2026-04-23 |
| ... | 16 | 🟡 | 2026-04-23 |
Common mistakes (founders self-scoring)
- Urgency over-rated: You think it's important ≠ target users do. Ask "did anyone reach out about this last week?"
- Willingness over-rated: Saying "I'd pay" ≠ actually paying. Need evidence of "currently paying for similar solution."
- Deliverability under-rated: Many AI apps look simple but need 1-2 months of prompt engineering iteration.
- Differentiation narcissism: You think "I'd do it better" — users may not perceive the difference.
- Channel fit most ignored: No channel = even the best idea is 6-12 months of cold start.
Reverse validation (bonus)
If founder provides the following evidence, one dimension can gain +1 (max 5):
- Willingness to pay: someone already put down a deposit / explicitly said "I'd buy when ready" / already paying for similar
- Urgency: someone reached out last week / public community is complaining
- Channel fit: existing list of 10+ contacts reachable within 1 week