Adopt Keelson is a skill that installs a disciplined, issue-driven operating model onto an AI agent working inside a software repository. Rather than letting an agent make ad-hoc changes, it enforces a structured frame → plan → implement → open-change → gate → close lifecycle, addressing the problem of uncoordinated agent contributions that bypass repository conventions or fail to communicate intent.
Installing the skill triggers a multi-round configuration session, typically 8 to 20 rounds, during which the skill maps the project’s specific SDLC requirements. It discovers branching models, tracker terminology for tools such as GitHub, Jira, and Linear, and delivery stages. From this session it generates a repository-specific AGENTS.md file and a set of localized, plain-language lifecycle skills tailored to that project.
A key output is the establishment of a Tactical vs. Strategic boundary: the skill defines exactly which decisions the agent handles autonomously and which require human approval before proceeding. Quality gates and engineering standards are embedded directly into the agent’s operating instructions. The agent ends up managing its own backlog, producing self-reviewing pull requests, and halting to ask for clarification rather than proceeding under uncertainty.
This skill is appropriate when a team needs an AI contributor that respects project-specific documentation standards such as ADRs, follows defined status-flow rules, and operates within a human-in-the-loop governance framework. It is not a runtime execution tool — it is a configuration and onboarding skill that shapes how an agent behaves going forward.