Start, stop, or clear blockers for Clade autonomous coding loops via a control endpoint.
npx skills add https://github.com/shenxingy/Clade --skill clade-control
Please help me install this Agent Skill. Skill: clade-control Source: https://github.com/shenxingy/Clade/tree/main/adapters/openclaw/skills/clade-control Command: npx skills add https://github.com/shenxingy/Clade --skill clade-control
Remote users need a reliable way to control Clade’s autonomous coding loop without manually interacting with the server process.
Use cases: Start a loop to fix failing tests, stop an ongoing run when requirements change, or clear blockers when a previous run got stuck on an issue.
Ask your AI assistant to start a loop on the server by sending a start request with your project path, goal, and desired limits.
High-intent search queries and answers about installing and using this skill.
To start an autonomous coding loop remotely, send a POST request to the control endpoint with your project path, goal, and desired iteration limits. This initiates the Clade coding loop to automatically address failing tests or iterate on codebase improvements.
Remote loop control allows you to manage autonomous coding loops via an API endpoint without manual server interaction. You send POST requests with JSON payloads to start, stop, or clear blockers for specific projects, receiving structured responses back from the server.
To stop a coding loop gracefully, send a stop request to the control endpoint. This allows the autonomous loop to finish its current task and exit cleanly, ensuring safe operational interruption of long-running runs without abrupt termination.
Yes, you need to configure CLADE_BASE_URL and CLADE_API_KEY for authorization. These environment variables are required to authenticate your POST requests to the control endpoint when managing your autonomous coding loops.
To clear blockers on a stuck autonomous coding loop, send a clear blocker request to the control endpoint. This removes detected issues so the loop can be restarted and continue progressing on its assigned goal.
Yes, when starting an autonomous coding loop, you can configure iteration limits, worker count, and model selection. These parameters are included in the JSON payload sent to the control endpoint to customize the loop execution.
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