Skills on Tessl: a developer-grade package manager for agent skillsLearn more
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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 Engineers 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

cisco/software-security

SKILL / V1.2.5

Security


PASSED CHECKS84%
AGENT PERFORMANCE1.8X

Improvement

Agent success rate improvement when using this skill compared to baseline

Description
A software security skill that integrates with Project CodeGuard to help AI coding agents write secure code and prevent common vulnerabilities.

hashicorp/terraform-stacks

SKILL / V1.0.0

Infrastructure


PASSED CHECKS96%
AGENT PERFORMANCE 2X

Improvement

Agent success rate improvement when using this skill compared to baseline

Description
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations, working with stack components and deployments from local modules, public registry, or private registry sources, or troubleshooting Terraform Stacks syntax and structure.

elevenlabs/text-to-speech

SKILL / V1.0.0

Voice & Audio


PASSED CHECKS97%
AGENT PERFORMANCE2X

Improvement

Agent success rate improvement when using this skill compared to baseline

Description
Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 74+ languages.

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
Get started free

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 skill

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

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

Senior Software 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

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Scale agentic development across your organization

Conceptual Guides

Explore our guides and resources to understand key concepts relating to Al agents.

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So, I recently took Claude 3.5’s new Artifacts feature for a spin, aiming to build real React-based prototypes. As a designer with over a decade of experience, but without much hands-on React knowledge, this was both exciting and daunting. Let’s dive into how it went!

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Announcing Tessl's Products to Unlock the Power of Agents

I’m excited to launch our first set of products, which unlock the power of AI agents in professional software development by using Spec-Driven Development. You can install and use the Spec Registry for free right now and request access to the Tessl Framework’s beta as well.

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Announcing AI Native Dev Con, Supercharge development today, and reimagine it for tomorrow

We’re excited to announce the launch of a brand new conference, AI Native Dev Con. We’re kicking off with an inaugural virtual conference on the 21st November, 2024. The conference aims to help you use AI to develop faster and better today, and exploring how AI is reshaping the way we will build, maintain and evolve software tomorrow. We highlight exciting new tools and advancements in AI-powered software development, with a focus on how large language models are reshaping how we build, maintain, and scale complex codebases. Join us to explore the future where AI goes beyond generating code snippets to orchestrating the creation and evolution of entire software systems.

Read more

Will AI Native Dev Follow Cloud Native's Path?

Each time such a technology is introduced, the easiest way to adopt it is to optimize steps within existing processes. Such optimization is easier as it requires less change - a team can take a process they’re already familiar with and make it better with the new tech. Furthermore, such change is local - meaning other teams don’t need to be involved, so the change is easier and faster to perform. Furthermore, it’s done within familiar boundaries - no big changes to org structures, ways of evaluating performance, ROI calculations, fewer approvals required… easy.

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