product-discovery

product-discovery is a skill for Claude Code from mshadmanrahman/pm-pilot. It costs 107 tokens per session (3,776 once invoked), scanned A, original, MIT.

A product-discovery workflow for investigating a product problem before building a solution. It guides problem framing, customer interviews, finding patterns in notes, and preparing a stakeholder summary.

In plain words
What is it for?
Use it to start a discovery project, create interview guides, synthesize research notes, or produce a one-page summary for stakeholders.
Why use it?
It gives teams a repeatable way to collect evidence about customer needs instead of relying only on assumptions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-discovery plugin — 2 skills shipped together

Good fit Use it to start a discovery project, create interview guides, synthesize research notes, or produce a one-page summary for stakeholders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mshadmanrahman/pm-pilot/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 mshadmanrahman/pm-pilot --skill product-discovery
Clone the repo
git clone --depth 1 https://github.com/mshadmanrahman/pm-pilot

Made for: Claude Code.

Or install pm-discovery, the plugin that ships this one along with the rest of its 2 skills.

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/mshadmanrahman/pm-pilot/product-discovery/github.svg)](https://agentmods.dev/skills/mshadmanrahman/pm-pilot/product-discovery)
Your own site
<a href="https://agentmods.dev/skills/mshadmanrahman/pm-pilot/product-discovery"><img src="https://agentmods.dev/badge/skills/mshadmanrahman/pm-pilot/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/mshadmanrahman/pm-pilot/product-discovery"><img src="https://agentmods.dev/badge/skills/mshadmanrahman/pm-pilot/product-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,776 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
  • 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 $0.00107 $0.03776
Opus 5 $0.00053 $0.01888
Sonnet 5 $0.00021 $0.00755
Haiku 4.5 $0.00011 $0.00378

Measured 11d ago against content hash 5329e77a0750, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 11d 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.

plugins/pm-discovery/skills/product-discovery/SKILL.md · 403 lines

How it starts

The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.

discovery.md

Your product discovery copilot. Frame problems, plan research, synthesize insights, and package evidence -- without needing a UX researcher on your team.

How It Works

This skill runs as an interactive conversation. You talk, I guide. Every mode produces a real markdown artifact you can share with your team.

Four modes:

Command What it does Output
/product-discovery Start a new discovery cycle discovery/{name}/brief.md
/product-discovery interview Generate an interview guide discovery/{name}/interview-guide.md
/product-discovery synthesize Turn raw notes into patterns discovery/{name}/synthesis.md
/product-discovery package Create a stakeholder one-pager discovery/{name}/one-pager.md

You can run them in sequence (full cycle) or individually (just need an interview guide? go).


Mode 1: Start a Discovery Cycle

Purpose

Frame what you're investigating, who's affected, and what success looks like. This is the foundation everything else builds on.

Entry

When the user invokes /product-discovery (no arguments), begin this mode.

Interaction Flow

Step 1: The Dump

Start with:

"Before we structure anything -- what's the messy thinking? What problem are you circling? Who's struggling? What made you think 'we should look into this'? Just dump it. Rough is fine."

Wait for the user's response. This is critical. Do not skip to structure.

Step 2: Reflect Back the Core Tension

After the dump, reflect back:

  1. The core problem you heard (one sentence)
  2. Who seems most affected
  3. The hidden assumption they might not have said out loud
  4. Any tension or contradiction in what they described

Ask: "Did I get that right? What did I miss?"

Step 3: Problem Hypothesis (Guided)

Walk through these one question at a time. Do NOT present them all at once.

  1. Who specifically is struggling?
    • Push for specificity. "Users" is not a persona. "Mid-market SaaS PMs with no dedicated researcher" is.
    • If they're vague, offer 2-3 persona options based on what they dumped.

Read the full file on GitHub · 403 lines

Files

What ships with it

5 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. 11d ago First seen · 403 lines · 107 tokens per session scan A 5329e77a0750

Subscribe to this mod's changes

product-discovery is a skill published in the GitHub repository mshadmanrahman/pm-pilot (20 stars, last pushed 5d ago), licensed MIT. It adds 107 tokens to every session and 3,776 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories