Individual skill
design-control-loop
interview the user to design an agentic control loop (sensor, controller, actuator under disturbances) tailored to their codebase, then build it as locally-runnable components plus a scheduled coding-agent workflow
plugins/design-control-loop/skills/design-control-loop/SKILL.md
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- engineering Derived category
- design Derived category
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SKILL.mdcore · 15,495 bytesSKILL.mdcore · 15,495 bytesreferences/agent-iteration.tsruns · 5,896 bytesreferences/agent-runner-templates.mddoc · 4,841 bytesreferences/control-loop-taxonomy.mddoc · 5,593 bytesreferences/example-control-loop.mddoc · 4,241 bytesreferences/example-skill.mddoc · 7,466 bytesreferences/memory-template.mddoc · 456 bytesreferences/prompt-template.mddoc · 1,521 bytesreferences/response-template.mddoc · 2,442 bytesreferences/skill-template.mddoc · 1,847 bytesreferences/workflow-template.ymlasset · 12,081 bytes
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# Design Control Loop
Use this skill when a user wants to drive some property of their codebase toward a target with small, low-risk, reviewable changes on a schedule — an **agentic control loop**.
Your job is to **interview the user, design the loop _with_ them, and then build it for them**. The design must be tailored to *their* codebase and the tooling they already use. There is no fixed toolset and no template to reproduce: propose options grounded in what you find in the repo, discuss trade-offs, agree on a design, then implement it.
## The mental model
Borrow from control theory. The codebase is a dynamic system being changed continuously (by teammates, dependencies, and generated code — the **disturbances**). A control loop drives it toward a desired state instead of all at once:
- **Set point** — the desired end state for some property of the codebase.
- **Sensor** — measures the current state, producing the gap to the set point.
- **Controller** — decides the next small, low-risk change from that measurement.
- **Actuator** — a coding agent that applies the change and opens a PR.