product-discovery

product-discovery is a skill for Claude Code, Codex from majiayu000/spellbook. It costs 43 tokens per session (2,940 once invoked), scanned A, original, MIT.

A product discovery guide for learning what users need and whether a product idea is worth pursuing.

In plain words
What is it for?
Use it for user interviews, market and competitor research, product-idea validation, and assessing opportunities before development.
Why use it?
It reduces the risk of building solutions based only on assumptions or stakeholder opinions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for user interviews, market and competitor research, product-idea validation, and assessing opportunities before development.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/majiayu000/spellbook/product-discovery
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add majiayu000/spellbook --skill product-discovery
Clone the repo
git clone --depth 1 https://github.com/majiayu000/spellbook

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for product-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/majiayu000/spellbook/product-discovery/github.svg)](https://agentmods.dev/skills/majiayu000/spellbook/product-discovery)
Your own site
<a href="https://agentmods.dev/skills/majiayu000/spellbook/product-discovery"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/product-discovery/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/majiayu000/spellbook/product-discovery"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/product-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,940 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 19 Jun 2026
  • Snyk pass 19 Jun 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.02940
Opus 5 $0.00022 $0.01470
Sonnet 5 $0.00009 $0.00588
Haiku 4.5 $0.00004 $0.00294

Measured 8d ago against content hash 3321ea4ae402, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-discovery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/product-discovery/SKILL.md · 460 lines

How it starts

The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Discovery

Core Principles

  • Continuous Discovery — Weekly user conversations, not episodic research
  • Outcome-Driven — Start with outcomes to achieve, not solutions to build
  • Assumption Testing — Validate risky assumptions before committing resources
  • Co-Creation — Build with customers, not just for them
  • Data-Driven — Use evidence over intuition and stakeholder opinions
  • Problem-First — Deeply understand the problem space before ideating solutions

Hard Rules (Must Follow)

These rules are mandatory. Violating them means the skill is not working correctly.

No Solution-First Thinking

Never start with a solution. Always define the problem and outcome first.

❌ FORBIDDEN:
"We should build a search bar for the product page"
"Let's add AI recommendations"
"Users need a mobile app"

✅ REQUIRED:
"Problem: Users can't find products (40% exit rate on catalog)
Outcome: Reduce exit rate to 20%
Possible solutions:
1. Search bar with filters
2. AI-powered recommendations
3. Better category navigation
4. Visual product browsing"

Evidence-Based Decisions

Never assume user needs without evidence from real user research.

❌ FORBIDDEN:
- "Users probably want X" (assumption without data)
- "Our competitor has X, so we need it too" (copycat without validation)
- "The CEO thinks we should build X" (HiPPO without evidence)
- "It's obvious users need X" (intuition without validation)

✅ REQUIRED:
- "5 out of 8 interviewed users mentioned X as a pain point"
- "Analytics show 60% of users abandon at step 3"
- "Prototype test: 7/10 users completed task successfully"
- "Survey (n=500): 45% rated feature as 'must have'"

Minimum Interview Threshold

Never validate a problem with fewer than 5 user interviews per segment.

❌ FORBIDDEN:
- "We talked to 2 users and they loved the idea"
- "One customer requested this feature"
- "Based on a quick chat with sales..."

✅ REQUIRED:
| Segment | Interviews | Key Finding |
|---------|------------|-------------|
| Power Users | 6 | 5/6 struggle with X |
| New Users | 5 | 4/5 drop off at onboarding |
| Churned | 5 | 3/5 cited missing feature Y |

Minimum per segment: 5 interviews
Confidence increases with more interviews

Read the full file on GitHub · 460 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 460 lines · 43 tokens per session scan A 3321ea4ae402

Subscribe to this mod's changes

product-discovery is a skill published in the GitHub repository majiayu000/spellbook (278 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 2,940 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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