Agent skill

Product Discovery Process

by deanpeters in deanpeters/Product-Manager-Skills

Guides a product manager through a full discovery cycle from problem hypothesis to validated solution: framing, interviews, synthesis, solution options and experiments.

Custom licenceAuto-check passedProduct & Project Management

Install Product Discovery Process

skills CLI
$ npx skills add deanpeters/Product-Manager-Skills --skill discovery-process -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install deanpeters/Product-Manager-Skills discovery-process --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discovery-process .claude/skills/discovery-process && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
discovery-process
GitHub stars
7.2k
Used in
1 other repo
Token cost
~4.9k tokens
SKILL.md length
1,930 words
Files
4
Skills in repo
75
Repo updated
First seen
Licence
Custom licence

At a glance

Guides a product manager through a full discovery cycle from problem hypothesis to validated solution: framing, interviews, synthesis, solution options and experiments.

  • Works in 6 steps: Frame the Problem (Day 1-2) → Research Planning (Day 3) → Conduct Research (Week 1-2) → …
  • Testing a problem hypothesis before committing to build
  • SKILL.md covers Purpose, Input, Key Concepts and Application, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill orchestrates problem framing, customer interviews, synthesis and experimentation into one structured process, based on the discovery approach of Teresa Torres and Marty Cagan. The six stages are frame the problem, conduct research, synthesize insights, generate solutions, validate solutions, and decide and document whether to build, pivot or kill. It treats discovery as a continuous practice running alongside delivery, typically one to two cycles per quarter, not a one-time research project.

It works best from a starting problem hypothesis, even a rough one, and anything supplied with the invocation counts as already answered, so it does not re-ask. With no hypothesis it starts at problem framing and helps build one. Bundled files include a template and two sample runs, one of them for life sciences. It lists anti-patterns, such as treating discovery as waterfall research or as user testing. The excerpt is truncated.

When your agent uses it

  • Testing a problem hypothesis before committing to build
  • Planning interviews, synthesis and experiments for a new product area
  • Deciding whether to build, pivot or kill an idea based on evidence

Example prompts

  • “Run discovery on this hypothesis: new users quit our mobile app because the sign-up form asks for too much.”
  • “Plan a discovery cycle for a new reporting feature, starting from problem framing.”
  • “Help me turn my customer interview notes into a build, pivot or kill decision.”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Frame the Problem (Day 1-2)
  2. Research Planning (Day 3)
  3. Conduct Research (Week 1-2)
  4. Synthesize Insights (End of Week 2)
  5. Generate & Validate Solutions (Week 3)
  6. Decide & Document (End of Week 3-4)

What it can do on your machine

Read from SKILL.md and the folder at commit 1b5a524. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Discovery Process loads about 4.9k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 1,930 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,930 words (~4,851 tokens).

“Guide product managers through a complete discovery cycle—from initial problem hypothesis to validated solution—by orchestrating problem framing, customer interviews, synthesis, and experimentation skills into a structured process. Use this to systematically explore problem spaces, validate assumptions, and build confidence before…”

— opening of SKILL.md by deanpeters, Custom licence
name
discovery-process
argument-hint
[problem hypothesis]
intent
Guide product managers through a complete discovery cycle—from initial problem hypothesis to validated solution—by orchestrating problem framing, customer…
type
workflow
theme
discovery-research
best_for
Running a full discovery cycle from hypothesis to validated solution, Investigating a retention or churn problem systematically, Setting up continuous…
scenarios
I have a hypothesis that B2B customers struggle with onboarding and want to validate it before building anything, Our activation rate dropped 15% this quarter…
estimated_time
30-60 min

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in skills/discovery-process of deanpeters/Product-Manager-Skills.

  • SKILL.md
  • examples/sample-lifesciences.md
  • examples/sample.md
  • template.md

Open the folder on GitHubat commit 1b5a524

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in deanpeters/Product-Manager-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Product Discovery Process next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Discovery Process compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Discovery Process this skilldeanpeters/Product-Manager-Skills7.2k1 repos~4.9kAutomated safety check: PassCustom licence
Opportunity Solution Treeavelikiy/great_cto102—~1.8kAutomated safety check: PassMIT
Gingiris User InterviewGingiris-1031/Competitor-analysis-tool110—~1.2kAutomated safety check: PassNone
Product Discoverymajiayu000/spellbook287—~3.3kAutomated safety check: PassMIT
Inspired Productwondelai/skills2.4k—~4kAutomated safety check: PassMIT
Mom Testwondelai/skills2.4k—~4.2kAutomated safety check: PassMIT

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Questions about Product Discovery Process

What does Product Discovery Process do?

Guides a product manager through a full discovery cycle from problem hypothesis to validated solution: framing, interviews, synthesis, solution options and experiments. The skill orchestrates problem framing, customer interviews, synthesis and experimentation into one structured process, based on the discovery approach of Teresa Torres and Marty Cagan. The six stages are frame the problem, conduct research, synthesize insights, generate solutions, validate solutions, and decide and document whether to build, pivot or kill.

When should I use Product Discovery Process?

Product Discovery Process fits situations like: testing a problem hypothesis before committing to build; planning interviews, synthesis and experiments for a new product area; deciding whether to build, pivot or kill an idea based on evidence.

How do I install Product Discovery Process in Claude Code?

Run `npx skills add deanpeters/Product-Manager-Skills --skill discovery-process -a claude-code`. Or copy the skill folder (skills/discovery-process in deanpeters/Product-Manager-Skills) into .claude/skills/discovery-process in your project. Claude Code loads it when a task matches its description.

How do I install Product Discovery Process in Codex?

Run `npx skills add deanpeters/Product-Manager-Skills --skill discovery-process -a codex`. Or copy the skill folder (skills/discovery-process in deanpeters/Product-Manager-Skills) into .agents/skills/discovery-process in your project. Codex loads it when a task matches its description.

Can I use Product Discovery Process in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add deanpeters/Product-Manager-Skills --skill discovery-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discovery-process, .gemini/skills/discovery-process, .github/skills/discovery-process and .opencode/skills/discovery-process in your project.

What does Product Discovery Process need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Discovery Process is instructions for the agent only.

Does Product Discovery Process access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Discovery Process safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Product Discovery Process use?

Product Discovery Process has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Product Discovery Process use?

About 4.9k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Discovery Process?

Skills that share tags, products or a category with Product Discovery Process: Opportunity Solution Tree (avelikiy/great_cto, 102 stars), Gingiris User Interview (Gingiris-1031/Competitor-analysis-tool, 110 stars), Product Discovery (majiayu000/spellbook, 287 stars) and Inspired Product (wondelai/skills, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Discovery Process?

deanpeters (a GitHub user) maintains it in deanpeters/Product-Manager-Skills, which has 7,224 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 1, 2026.

Source: deanpeters/Product-Manager-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.