Automate complex workflows with a six-phase lifecycle and evidence enforcement.
npx skills add https://github.com/krzemienski/shannon --skill autopilot-runner
Please help me install this Agent Skill. Skill: autopilot-runner Source: https://github.com/krzemienski/shannon/tree/main/skills/autopilot-runner Command: npx skills add https://github.com/krzemienski/shannon --skill autopilot-runner
This Skill automates the full lifecycle of a complex workflow, ensuring that tasks are executed autonomously and validated rigorously.
To start the autopilot runner for a specific task, use the command: /shannon:autopilot --resume <run-id>
High-intent search queries and answers about installing and using this skill.
You can automate complex software development workflows using a six-phase lifecycle that includes multi-perspective validation, stall detection, and resume semantics. It manages the entire process from specification to QA and cleanup autonomously.
The Iron Rule in workflow automation enforces transcript-evidence requirements, ensuring all tasks are completed with proof on disk and no verdicts are made without evidence. This guarantees rigorous validation for high-stakes production automation.
To resume an interrupted workflow automation task, use the resume semantics feature with a specific run identifier. This allows the automated lifecycle to pick up where it left off without losing prior execution progress.
Yes, multi-perspective validation assesses code changes automatically through functional, security, and quality/architecture perspectives. This ensures comprehensive automated verification without manual oversight.
SDK harness instrumentation is needed for production-grade workflow automation requiring high stakes and evidence verification. It instruments the automated tasks to ensure rigorous execution and validation throughout the lifecycle.
Yes, this workflow automation approach includes stall detection to identify halted processes during complex lifecycle execution. It monitors tasks continuously to ensure autonomous workflows progress reliably without manual intervention.
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