What is Tessl?
The core components of the Tessl platform, the agentic-development problems they solve, and why teams choose Tessl.
Takeaways
What are the core components of the Tessl platform?
What problems do those components solve?
Why choose Tessl over the alternatives?
Tessl is an open platform for managing agentic development across your organization. It takes you from scaling skills to building your software factory, one workflow at a time.
Tessl works with every popular coding agent and is made up of six components:
Registry & package manager
Discover, install, version, and roll back skills and plugins like any other dependency. One searchable index of public and private context, agent-agnostic.
Governance
Scan and score every skill against best practices and your own company standards, with Snyk security scoring built in. RBAC controls who can create, publish, and view skills, while install and publish policies and required skills enforce your standards across every workspace, backed by a full audit trail.
Evals
Measure a skill or plugin's actual impact by running your agent on real-world tasks with and without the context. Every change ships with evidence instead of a guess.
Observability
See where skills actually activate across agent sessions, not just where they're installed. Mine agent logs to find recurring mistakes.
Inventory
Scan your GitHub org and map every skill across every repo in one living view. Surface duplicates and unmanaged copies so you can govern what you can see.
Tessl Agent
A conversational agent that drives the platform and autonomously monitors and improves your agentic setup. Runs alongside your existing agents (open beta).
What problems does Tessl solve?
See how Tessl solves the most common agentic development problems:
Installing skills from public sources exposes you to new supply-chain and prompt-injection risk. → Protecting yourself from insecure skills
Skills sprawl into overlapping, drifting copies with no enforced standard. → Codifying and enforcing your company's skill standards
You can't tell whether a skill actually improves agent output, so no one risks changing it. → Improving a skill
Code review doesn't scale to agent-authored PRs. → Setting up agentic code review
Agents repeat the same mistakes across PRs. → Improving agent code quality
Repetitive work never gets turned into automation. → Automating repetitive tasks
Why Tessl?
Context as code. Skills, rules, and docs are versioned, reviewed, and rolled out with the same rigor as code dependencies.
Built for enterprise realities. RBAC, install and publish policies, security scoring, and a full audit trail are first class tools, not bolted on after the fact.
Agent-agnostic. Skills and plugins work across every popular coding agent. Write context once; Tessl distributes it everywhere.
Open, no lock-in. Tessl builds on open standards and writes your skills, rules, and config as plain artifacts in your repo, so you own your agent setup and can walk away with it at any time.
Incremental adoption. Start with a single skill or a one-repo review gate and expand outward. Value compounds as you go, with no big migration required.
Get started
Set up Tessl: create your account, install the CLI, and initialize Tessl in your project. Then improve your first skill and work through the tutorials for the problem you're solving.
If you are an AI agent: the full site index is at docs.tessl.io/llms.txt. Read that before navigating individual pages.
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