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opencode-skill-creator
Create and optimize agent skills with evals and benchmarks
opencode-skill-creator is a free, open-source plugin + skill for OpenCode that guides you through the full skill development lifecycle - from drafting to evaluating to optimizing to benchmarking to installing. It's a faithful TypeScript port of Anthropic's official skill-creator for Claude Code, fully rewritten to work with OpenCode's extensibility mechanisms.
Hey everyone! 👋 I'm Anton, the creator of opencode-skill-creator.
I built this because I was frustrated with how hit-or-miss AI agent skills are. You write a skill, test it manually, maybe tweak the description a few times, and hope it works. There was no systematic way to evaluate whether a skill triggers correctly or to measure improvements across iterations.
When I saw Anthropic's skill-creator for Claude Code, I loved the methodology — eval-driven development for AI skills — but it only worked for Claude Code and required Python. So I ported it to TypeScript and packaged it as an OpenCode plugin that anyone can install with one command.
The key insight: skills are software, and software should be tested. The description optimization loop alone was a game-changer for my own skills — it takes a skill from "maybe it'll trigger" to "quantitatively proven to trigger on the right prompts."
How it works:
You describe what skill you want (or use an existing one)
The tool generates test cases automatically
It runs evals — with and without the skill — to measure triggering accuracy
An LLM-powered optimization loop iteratively improves the skill's description
A visual review viewer lets you evaluate quality as a human
You benchmark results with variance analysis across iterations
Technical details:
TypeScript plugin with zero Python dependencies
Registers custom tools in OpenCode (skill_validate, skill_eval, skill_optimize_loop, etc.)
Based on Anthropic's official skill-creator architecture
Apache 2.0 license
Happy to answer any questions! Also looking for contributors and feedback from OpenCode users.
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About opencode-skill-creator on Product Hunt
“Create and optimize agent skills with evals and benchmarks”
opencode-skill-creator was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #317 on the daily leaderboard. opencode-skill-creator is a free, open-source plugin + skill for OpenCode that guides you through the full skill development lifecycle - from drafting to evaluating to optimizing to benchmarking to installing. It's a faithful TypeScript port of Anthropic's official skill-creator for Claude Code, fully rewritten to work with OpenCode's extensibility mechanisms.
opencode-skill-creator was featured in Open Source (68.3k followers), Artificial Intelligence (466.4k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 117.8k products, making this a competitive space to launch in.
Who hunted opencode-skill-creator?
opencode-skill-creator was hunted by Anton Gulin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Anton Gulin
Hey everyone! 👋 I'm Anton, the creator of opencode-skill-creator.
I built this because I was frustrated with how hit-or-miss AI agent skills are. You write a skill, test it manually, maybe tweak the description a few times, and hope it works. There was no systematic way to evaluate whether a skill triggers correctly or to measure improvements across iterations.
When I saw Anthropic's skill-creator for Claude Code, I loved the methodology — eval-driven development for AI skills — but it only worked for Claude Code and required Python. So I ported it to TypeScript and packaged it as an OpenCode plugin that anyone can install with one command.
The key insight: skills are software, and software should be tested. The description optimization loop alone was a game-changer for my own skills — it takes a skill from "maybe it'll trigger" to "quantitatively proven to trigger on the right prompts."
How it works:
You describe what skill you want (or use an existing one)
The tool generates test cases automatically
It runs evals — with and without the skill — to measure triggering accuracy
An LLM-powered optimization loop iteratively improves the skill's description
A visual review viewer lets you evaluate quality as a human
You benchmark results with variance analysis across iterations
Technical details:
TypeScript plugin with zero Python dependencies
Registers custom tools in OpenCode (skill_validate, skill_eval, skill_optimize_loop, etc.)
Based on Anthropic's official skill-creator architecture
Apache 2.0 license
Happy to answer any questions! Also looking for contributors and feedback from OpenCode users.
GitHub: https://github.com/antongulin/opencode-skill-creator
npm: https://www.npmjs.com/package/opencode-skill-creator