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The package manager for agent skills and context

Versioned, evaluated skills and context for agentic software development.

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Used by agentic developers at

Context can drive up to 3.3X improvement in agents use of over 300 libraries

How good is your skill? Put it to the test

Evaluate any skill against structured best practices for descriptions and content.

EVALUATE YOUR SKILL

Make agents successful in your environment

BENEFIT

Agents don’t know how to develop in your organization, they need to be onboarded. Turn your APIs, libraries, and conventions into agent-usable skills, docs and rules, so agents stop guessing and start behaving like experienced team members.

  • Version-matched OSS and internal APIs
  • Correct imports, calls, and constraints
  • Fewer retries and review cycles
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Evaluate what works in real-world scenarios

BENEFIT

Not all context is equal, and mistakes can mislead agents or overwhelm context windows. Evaluate and optimize your skills by running agents through real world scenarios, and testing changes to avoid regressions over time.

  • Repeatable task evaluations
  • Regression detection as skills, agents and
models evolve
  • Learn if your context helps or hurts agent performance
Evaluate your skillEvaluate skills on GitHub

Create skills once. Use them across all agents and models

BENEFIT

Tessl gives you a single source of truth for skills and context, reusable across agents, models, and development environments without duplication or drift.

  • Avoid lock-in with universally compatible context
  • Consistent behavior across agents
  • Collaborate on context with your team and agents
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Keep your agent on the rails with better context. Discover thousands of evaluated skills in the Tessl Registry.

Don’t take our word for it

We have tens of thousands of engineers using AI tools daily who need support to shift from prompting to context engineering. I believe Tessl's approach to measure, package, and distribute that context automatically is the solution that can unlock agent productivity.

John Groetzinger

John Groetzinger

Principal Engineer

As someone who's spent 25+ years in software engineering, Tessl's spec-driven approach is the first thing I've seen that bridges the gap between AI's speed and the discipline production systems demand. It's the antidote to throwaway 'vibe coding'.

Mani Sarkar

Mani Sarkar

AI/ML Engineer

The evaluation capability is a big one. It’s hard to build something like that without a centralized system like Tessl. I don’t think we’d realistically create that on our own, so having that constant check on our work is incredibly valuable.

Paul Thrasher

Paul Thrasher

Director of Product, AI

Scale agentic development across your organization

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