Published once, applies afterwards
A rule you publish keeps applying to every task in that repository. A recommendation has to be recalled by every engineer on every task, or it quietly stops happening.
Skills, rules, hooks and sub-agents decide how well an engineer's agents behave. In most orgs the best of that lives on two or three machines and never travels, while the rest of the team runs on whatever their tool shipped with. Harness takes what is demonstrably working here and makes it the default everywhere.
Adoption across engineers
Every step reads from your own history, so nothing here is a generic best-practice list.
An installed component and a useful one are indistinguishable until you count what actually fires.
What Tetriz does here
Every skill, hook, sub-agent and rules file across the org, with how often each one fires.
The number that separates a good idea from a good idea that spread.
The reason good practice does not spread is that nobody has time to write it down while it is working.
What Tetriz does here
The patterns behind work that merged cleanly become rules and templates you can publish.
An admin edits or accepts each one, and every push is recorded against the person who made it.
| Component | Adopted | Suggested |
|---|---|---|
| code-reviewer | 9 of 11 | Org default |
| pr-nudge.sh | 7 of 11 | Org default |
| Explore | 5 of 11 | Opt-in |
Two teams on nominally the same setup behave differently, and the cause is almost always a rules file that quietly diverged.
What Tetriz does here
So a difference in behaviour has a cause you can point at rather than a theory.
Overlapping or conflicting skills get resolved instead of both firing and fighting.
Rules files across the org
A third-party skill is executable code running with your repository's permissions. Most teams evaluate that by reading a README.
What Tetriz does here
Third-party skills and templates are reviewed for what they execute and what they can reach, not just for whether they are popular.
The alternative is every engineer independently assessing the same handful of community packages.
Everything else on this layer is a practice. This one is a setting, and settings do not need to be remembered.
A rule you publish keeps applying to every task in that repository. A recommendation has to be recalled by every engineer on every task, or it quietly stops happening.
A skill your strongest engineer wrote and a reviewed one from outside reach every machine the same way, so you can take the best of both without running two processes.
Someone joining inherits the accumulated setup on their first day instead of piecing it together over a year by noticing what colleagues do.
Your own history — the prompts, skills and rules behind work that shipped well here. That is why they differ between two orgs on identical tooling.
An admin. Each recommendation is a proposal with its evidence attached, and every approved push is recorded against the person who made it.
This decides what the setup should be. The Control Plane is the mechanism that pushes an approved setup to every machine, and it sits under Governance.
What the skill executes, what it can reach, and whether it handles credentials or data it has no reason to touch. Anything that fails is not offered.
It sets a floor. Deliberate variation stays possible and stays visible — what goes away is variation nobody chose and nobody knew about.