TypeSafe Agent Skills

Overview & result

The official skill package helps agents design TypeSafe workflows, find current docs and cookbooks, and compose typed judgments in code.

From the original post

Agent skills for building with [TypeSafe](https://typesafe.ai): typed decisions and probabilities from System One models.

How Jev fits in the loop

1. Install the TypeSafe skill into a supported coding-agent environment.
2. Describe the decision workflow in natural language.
3. Use Jev primitives for the bounded judgments.
4. Keep deterministic policy and side effects in application code.

How to reproduce

1. Install the official TypeSafe skill for your coding-agent environment.
2. Ask the agent to design one bounded workflow with explicit choices and a low-confidence review path.
3. Review the generated integration and connect your TypeSafe API key only through a local environment variable.

claude plugin marketplace add typesafe-ai/skills
claude plugin install typesafe@typesafe-ai

npx skills add typesafe-ai/skills --skill typesafe-ai

Install the TypeSafe skill. If you're in Claude Code, run `claude plugin marketplace add typesafe-ai/skills`, then `claude plugin install typesafe@typesafe-ai`. If you're in another agent, run `npx skills add typesafe-ai/skills --skill typesafe-ai` and select your agent. Use one installation method. You can read the skill directly at https://github.com/typesafe-ai/skills/blob/main/skills/typesafe-ai/SKILL.md (raw: https://raw.githubusercontent.com/typesafe-ai/skills/main/skills/typesafe-ai/SKILL.md). Then use the TypeSafe skill when working on this project.

Why this build matters

It is an official bridge between Jev and coding-agent workflows, making MCP/Skills a first-class category for this site.

Limitations

• Installing the skill does not give the agent a live Jev tool by itself.
• A runtime integration still needs the TypeSafe API, your own wrapper, or a separately reviewed MCP/CLI connector.
• Generated workflow code and thresholds still require human review.

Patterns