translate

translate is a skill for Claude Code from whawkinsiv/solo-founder-skills. It costs 101 tokens per session (2,260 once invoked), scanned A, original, MIT.

A skill that helps a professional turn knowledge of an industry problem into a software product idea.

In plain words
What is it for?
Use it to define a product opportunity, clarify a professional workflow problem, and turn domain expertise into a software specification.
Why use it?
It helps identify the painful task worth solving and describe it clearly enough for software to be designed around it.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the solo-founder-skills plugin — 54 skills, 1 command shipped together

Good fit Use it to define a product opportunity, clarify a professional workflow problem, and turn domain expertise into a software specification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/whawkinsiv/solo-founder-skills/translate
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 whawkinsiv/solo-founder-skills --skill translate
Clone the repo
git clone --depth 1 https://github.com/whawkinsiv/solo-founder-skills

Made for: Claude Code.

Or install solo-founder-skills, the plugin that ships this one along with the rest of its 54 skills, 1 command.

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 translate

README.md
[![agentmods](https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/translate/github.svg)](https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/translate)
Your own site
<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/translate"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/translate/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 translate

Your own site · 80×15
<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/translate"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/translate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,260 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 $0.00101 $0.02260
Opus 5 $0.00051 $0.01130
Sonnet 5 $0.00020 $0.00452
Haiku 4.5 $0.00010 $0.00226

Measured 13d ago against content hash c5ffc38241ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

translate 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 13d 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.

skills/translate/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Translate Your Expertise Into a Product

You've spent years mastering your field. You know exactly which parts of the job suck. This skill helps you go from "I know this problem exists" to "here's what the software needs to do" — in language AI tools can build from.

Core Principles

  • You don't need to learn to think like a developer. You need to describe the pain clearly. AI handles the rest.
  • After 20 years, your daily workflow is already efficient. The opportunity isn't in your routine — it's in the pain you've learned to live with.
  • The best SaaS products don't automate everything. They eliminate the one step that makes professionals say "I hate this part."
  • Your domain expertise is the product spec. The hard part isn't building — it's knowing what to build. You already know.
  • If you can't explain why it's painful to a stranger in 30 seconds, the pain isn't sharp enough to build a business on.

Step 1: Find the Pain Worth Building For

Don't catalog your workflow. Go straight to the pain.

Answer these five questions. Write one sentence for each — don't overthink it.

1. What task do you put off or dread, even though you've done it hundreds of times?
2. What takes way too long relative to the value it produces?
3. What makes you think "there has to be a better way" at least once a month?
4. What do you see junior people in your field struggle with that a tool could fix?
5. What would you pay $100/month to never do again?

Tell AI:

I'm a [your profession] with [X] years of experience. Here are my top pain points:

1. [Pain — what you dread or avoid]
2. [Pain — what takes too long]
3. [Pain — "there has to be a better way"]
4. [Pain — what juniors struggle with]
5. [Pain — what you'd pay to eliminate]

For each one, evaluate:
- How often does this pain occur? (daily, weekly, monthly)
- How many other [professionals in my field] have this same pain?
- Do existing tools solve this? If so, what's wrong with them?
- Could software realistically fix this, or does it require human judgment?
- What's the current workaround? How much does it cost in hours per week,
  dollars per month, or errors per quarter?

Rank them by: frequency × pain intensity × market size × buildability.
Tell me which one is the strongest SaaS opportunity and why.

Read the full file on GitHub · 210 lines

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. 13d ago First seen · 210 lines · 101 tokens per session scan A c5ffc38241ae

Subscribe to this mod's changes

translate is a skill published in the GitHub repository whawkinsiv/solo-founder-skills (243 stars, last pushed 16d ago), licensed MIT. It adds 101 tokens to every session and 2,260 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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.

microsoft/vscode · 53 tokens

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…

microsoft/vscode · 71 tokens

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…

vercel/next.js · 83 tokens