What problem does it solve? Orc eliminates the manual babysitting of coding tasks by autonomously carrying a unit of work — a picked issue, a named issue, or a free-text task — all the way to committed, reviewed, green code without mid-run check-ins. ## Core Features & Use Cases - Autonomous issue selection: A scout subagent scans your GitHub issue board with a four-signal ruleset (unblocking value, severity, readiness, age) and picks the highest-value work. - Subagent-driven workflow: Dispatches implementer subagents to write code and tests, a panel of security/architecture/quality/test-coverage reviewers, and a verifier that filters out hallucinated review findings. - Bounded review-fix loop and landing: Loops review and fix up to three rounds, runs the repo's ready check, commits per task, pushes, and closes resolved issues with a structured FINISHED / NOT FINISHED report. - Use Case: Run /orc before leaving for the day and return to a finished issue with commits on the working branch, a green ready check, and a written summary of what changed and why. ## Quick Start Invoke the orc skill with no argument to have it pick the highest-value open GitHub issue and autonomously implement, review, and commit the fix.