The package manager for agent skills and context
Versioned, evaluated skills and context for agentic software development.
npx tessl search
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 SKILLMake agents successful in your environment
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
Evaluate what works in real-world scenarios
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
Create skills once. Use them across all agents and models
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
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
Latest Articles
Explore our guides and resources to understand key concepts relating to Al agents.
Replit launches “Security Agent” to scan and fix vulnerabilities in AI-built apps
Replit's new 'Security Agent' integrates automated vulnerability detection and remediation into its AI coding platform, enhancing security during app development.
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Evaluating Kimi 2.5 vs Kimi 2.6: What happens to agent skills when the model gets smarter?
Early signals from benchmarking Kimi K2.5, K2.6, and Sonnet 4.5 on 21 agent skills. Kimi K2.6 is a better model than K2.5, and skills still matter as models improve.
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Anthropic, OpenAI, or Cursor model for your agent skills? 7 learnings from running 880 evals (including Opus 4.7)
Explore findings from 880 evaluations comparing Anthropic, OpenAI, and Cursor models, highlighting the impact of agent skills on performance and cost efficiency.
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Cloudflare introduces “Agent Memory” to help AI agents remember across sessions
Cloudflare's 'Agent Memory' provides AI agents with persistent memory, enhancing their performance by managing context and storing essential information separately.
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Google adds subagents to Gemini CLI to handle parallel coding tasks
Google's Gemini CLI now supports subagents, enabling parallel task handling by distributing work across specialized agents, improving efficiency in coding workflows.
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Anthropic adds 'routines' to Claude Code for scheduled agent tasks
Anthropic introduces 'routines' to Claude Code, enabling developers to automate and schedule coding tasks, running them without direct interaction or active sessions.
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curl -fsSL https://get.tessl.io | shOr explore skills and context in the Registry.
