subagent
SolidProtocol that evo optimization subagents follow when dispatched from /optimize. Auto-loaded by spawned subagents via their host's skill loader. The orchestrator may also invoke this skill to understand the brief shape its dispatched subagents expect + what they're required to emit -- useful when writing briefs or debugging a subagent's behavior.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- evo-hq
- Repository
- evo-hq/evo
- Created
- 2 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
optimize
Run the evo optimization loop with parallel subagents until interrupted.
subagent-orchestration
Design multi-agent architectures, author agent definitions, or orchestrate parallel execution. Use when delegating tasks to subagents.
discover
Initialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline worktree, and running the first experiment. Use when the user invokes /evo:discover, mentions setting up evo, wants to instrument a codebase for autonomous optimization, or asks to start a new evo run on a project.