product-discovery
Skill4 starsChanged 33 days agoMITView on GitHub
This skill should be used when the user has a product idea but is not sure what to build, what the MVP is, or where to start. Trigger phrases include "I have an idea for a product", "not sure what to build", "what should the MVP be", "where do I start", "is this idea any good", "help me scope this", "I want to build something but". Inspired by Design Sprint and Lean Startup. It separates the problem from the solution, validates the market, and defines a prioritized MVP.
23 other projects use a version of this.
Adopted by
Most recently taken up by
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- snowfluke/tech-lead-skillstheir own version, first seen Nov 8, 2026
- ceeinbeta/pm-skillstheir own version, first seen Nov 1, 2026
- mcveloria/pm-skillstheir own version, first seen Oct 25, 2026
- vindreshsingh/engineering-skillstheir own version, first seen Oct 20, 2026
- protocol/peruntheir own version, first seen Oct 17, 2026
Used with
Projects with it also use product-strategy.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yannickYamoSkillproduct-strategy
Build product strategy that drives real choices. Use when defining where to play and how to win, creating strategy canvases, defining ICP/Anti-ICP, positioning products, setting pricing strategy, planning GTM motions, or structuring strategic bets. Part of the Modern Product Operating Model collection.
Also in 4 projects that use this
Other versions23 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 23
- magnus919/agent-skills★ 172same name
- nahid-sparktales/agent-dispatcher★ 59same name
- ncklrs/startup-os-skills★ 51same name
- yannickYamo/skills★ 23same name
- Hassaan146/claude-skills★ 18same name
- ipavelm/ultimate-product-discovery-skill★ 15same name
- snowfluke/my-tech-lead-flow★ 8same name
- snowfluke/tech-lead-skills★ 8same name
- dkpapadopoulos/auto-claude-skills★ 6same name
- Uwayxt/agent-skills★ 4same name
13 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository21 other files it gives its agents.
- accessibilitySkill
- ai-featuresSkill
- api-designSkill
- architecture-primerSkill
- authSkill
- data-modelingSkill
- deploymentSkill
- design-taste-frontendSkill
- frontend-performanceSkill
- image-to-codeSkill
- integrationsSkill
- landing-pageSkill
- multi-tenancySkill
- paymentsSkill
- pre-ship-securitySkill
- pwaSkill
- rls-auditSkill
- saas-routerSkill
- secure-codingSkill
- technical-seoSkill
- ui-designSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 21 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Do not let the discussion drift to features yet.
- Distinctive: line 27
Do you (or your target users) already pay for something similar?
- Distinctive: line 28
Do you know other people with this same problem?
- Distinctive: line 29
Do you have access to potential customers to validate with?
“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Product Discovery
This skill turns a fuzzy idea into a sharp, buildable MVP. It is inspired by Design Sprint and Lean Startup, and it resists the urge to jump to features before the problem is understood.
Analogy: do not prescribe medicine before diagnosing the illness. Most failed products are perfectly built cures for a disease nobody has.
Workflow
PHASE 1 — Understand the problem (not the solution)
Force the conversation onto the problem first. Ask:
- What specific problem are you solving?
- Who has that problem? Describe that person concretely.
- How do they solve it today? (even if it is Excel, WhatsApp, or by hand)
- Why is that current solution not good enough?
Do not let the discussion drift to features yet. If the user describes a solution, redirect to the problem it serves.
PHASE 2 — Validate the market
- Do you (or your target users) already pay for something similar? How much?
- Do you know other people with this same problem?
- Do you have access to potential customers to validate with?
The goal is evidence that the problem is real and painful enough that someone will pay.
PHASE 3 — Define the MVP
- What is the minimum result that would make someone pay?
- Which features are "nice to have" but not essential?
- How soon do you want something to show?
The MVP is the smallest thing that delivers the core result — not a small version of the full vision.
PHASE 4 — Output
Deliver these five items:
- Problem definition — in one sentence.
- Ideal customer avatar — who they are, concretely.
- MVP scope — a prioritized feature list:
- P0 — must exist for the MVP to deliver its core result.
- P1 — important, but can wait for v1.1.
- P2 — nice to have; explicitly deferred.
- Success metric — how we will know it worked (e.g. "10 paying users in 30 days," "40% of signups complete the core action").
- Concrete next step — the single next action to take.
Handoff
Once the MVP is defined, hand off to architecture-primer to decide how to build it, then ui-design to build the interface. Discovery answers (scale expectations, user type, timeline) feed directly into the architecture discovery phase — pass them along.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

