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.
npx skills add product-on-purpose/pm-skills --skill define-problem-statementgit clone --depth 1 https://github.com/product-on-purpose/pm-skillsWrote 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.
[](https://agentmods.dev/skills/product-on-purpose/pm-skills/define-problem-statement)<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/define-problem-statement"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/define-problem-statement.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.00769 |
| Opus 5 | $0.00022 | $0.00385 |
| Sonnet 5 | $0.00009 | $0.00154 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
define-problem-statement 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- define-problem-statement — 100% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Problem Statement
A problem statement is a concise document that frames the problem you're solving, articulates the impact on users and the business, and defines clear success criteria. It serves as the foundation for all subsequent product work by ensuring alignment on what problem to solve before jumping to how to solve it.
When to Use
- Starting a new initiative or project to establish shared understanding
- Realigning a drifted project back to its original intent
- Communicating up to leadership or stakeholders about priorities
- Evaluating whether a proposed solution actually addresses the core problem
- Onboarding new team members to provide context
When NOT to Use
- The problem is already agreed and engineering needs the spec -> use
deliver-prd - You want to propose and compare solution approaches -> use
develop-solution-brief - You are capturing customer motivation rather than a business problem -> use
define-jtbd-canvas - The "problem" is really an unvalidated assumption -> frame it with
define-hypothesisand test it before committing a team to it
Instructions
When asked to create a problem statement, follow these steps:
-
Identify the User Segment Ask who is experiencing this problem. Get specific about the user persona, role, or segment. Avoid vague descriptions like "users" - instead target "mobile shoppers completing checkout" or "enterprise admins managing 50+ users."
-
Understand the Pain Points Explore what friction, frustration, or unmet need the user experiences. Ask probing questions to understand the severity and frequency of the problem. Look for evidence from user research, support tickets, or behavioral data.
-
Establish Business Context Connect the user problem to business impact. How does this problem affect revenue, retention, growth, or strategic goals? Why should the organization invest in solving this now versus later?
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.
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.
- 8d ago First seen · 73 lines · 43 tokens per session scan A 494fbd95caea
define-problem-statement is a skill published in the GitHub repository product-on-purpose/pm-skills (647 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 769 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 2026-08-30.
Other skills, from other repositories
status-update-writer
Use when the user asks to write a status update, weekly or monthly update, stakeholder update, project update, standup, status report, or QBR. Do NOT use for writing a PRD or a retro doc — those need different structures.
idea-validator
Use when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something. Do NOT use for prioritizing an existing backlog or reviewing a shipped feature — those need RICE scoring or a design review instead.
linkedin-post-writer
Use when the user asks to write, draft, or rewrite a LinkedIn post, turn notes or an article into a LinkedIn post, or fix a hook that is not landing. Do NOT use for X/Twitter threads, newsletters, or blog posts — those need different length and hook rules.
product-designer
Use when the user asks to review a design, critique a UI or mockup, give design feedback, or check a screen for usability and accessibility issues. Do NOT use for visual brand or aesthetic preference debates, or for reviewing copy before layout is settled.
prompt-engineer
Use when the user asks to improve, optimize, rewrite, debug, or shorten a prompt, or asks why a prompt is producing bad output. Do NOT use for writing a Claude Code SKILL.md — that needs skill structure rules, not prompt techniques.
spec-from-conversation
Turn an unstructured stakeholder conversation, Slack thread, or meeting transcript into a structured spec (problem, goals, non-goals, success metrics, open questions). Use whenever a PM has raw conversational input and needs a first-draft spec, or when someone says "can you turn this into a doc" after a discussion.…