using-gc

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Operate a caller-selected Gas City 1.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts. Triggers: "using gc", "gas city", "drive the mayor", "dispatch through gc".

AI & Automation 434 stars 40 forks Updated today Apache-2.0

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Skill Content

# Using GC Use Gas City only when the caller explicitly selects it. Treat it as a replaceable execution adapter, not a correctness or completion boundary. ## Choose the factory first AgentOps supports both Gas City and the [Agentic Coding Flywheel](https://agent-flywheel.com) as external software-factory runtimes. Use this skill only for Gas City. If the caller selects the Flywheel, use its native workflow instead of wrapping it in Gas City. AgentOps supplies skills and evidence contracts to either factory. It does not need its own Gas City formula or role pack. Install or link AgentOps skills into the provider runtime before starting workers; the upstream Mayor, coordinator, and workers can then discover and select `plan`, `implement`, `test`, `validate`, and other AgentOps skills normally. ## Gas City 1.4 operating model Gas City 1.4 is run-centered. The supervisor serves the dashboard and typed, paginated session/run APIs. Every graph-owning city or rig scope needs its own `core.control-dispatcher`; that deterministic worker advances formula control beads. Agent workers claim routed work. The upstream `gc.mayor` skill is the guided coordinator; `gc.run-operator` launches and supervises formulas. The normal AgentOps path is: 1. Install and pin the upstream `gascity` workflow and rig-role imports. 2. Add the project as a rig, prepare its stock maintainer runtime, and make AgentOps skills visible to its provider sessions. 3. Create a caller-owned bead and launch th...

Details

Author
boshu2
Repository
boshu2/agentops
Created
10 months ago
Last Updated
today
Language
Go
License
Apache-2.0

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