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 yuusakuri/agent-skills --skill define-problem-statementgit clone --depth 1 https://github.com/yuusakuri/agent-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/yuusakuri/agent-skills/define-problem-statement)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/define-problem-statement"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/define-problem-statement/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.
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/define-problem-statement"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/define-problem-statement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00772 |
| Opus 5.5 | $0.00017 | $0.00309 |
| Sonnet 5.5 | $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 1mo 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.
This is a copy
100% identical to define-problem-statement — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- 1mo ago First seen · 73 lines · 43 tokens per session scan A baa03c9cfb9c
define-problem-statement is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 772 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to define-problem-statement, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…