Coordinate autonomous agent fleets to execute task specs with iterative improvement.
npx skills add https://github.com/mrap/boi --skill boi-beginning-of-infinity
Please help me install this Agent Skill. Skill: BOI — Beginning of Infinity Source: https://github.com/mrap/boi/tree/main/.claude/skills/boi Command: npx skills add https://github.com/mrap/boi --skill boi-beginning-of-infinity
BOI coordinates self-evolving autonomous agent fleets to decompose, schedule, and execute complex task specs with sustained context and automatic iteration.
Describe a task to BOI, dispatch the spec, and let the system autonomously manage workers to complete it.
High-intent search queries and answers about installing and using this skill.
Spec-based task decomposition splits high-level software development requirements into executable units. These tasks are distributed across multiple worker sessions managed by a runtime daemon, ensuring safe and repeatable execution in isolated worktrees.
Yes, agent task dispatch requires a runtime CLI such as claude -p or codex exec. The daemon uses this CLI to manage isolated worktrees under ~/.boi within a minimal Python stdlib environment for safe, repeatable runs.
Task spec self-evolution allows new tasks to be appended to specs dynamically as work reveals new requirements. This enables the autonomous agent fleet to iteratively improve outcomes without manual spec rewriting during operations.
Yes, autonomous agent orchestration requires a minimal Python stdlib environment. The daemon runs within this environment to manage isolated worktrees under ~/.boi and coordinate distributed worker sessions for task execution.
Daemon-managed isolated worktrees under ~/.boi provide the best way to manage autonomous agent fleets. The daemon automatically handles worktree creation and runtime prompts for safe, repeatable task execution across distributed worker sessions.
greenheadHQConfigure Codex CLI settings and verify AGENTS.md skill projection.
Syedyasir001Automate task execution and review using subagents for implementation and quality checks.
moorej2400Orchestrate multi-agent tasks with parent-led coordination and MCP worktree management.
maystudiosCoordinate parallel agent execution with git worktree isolation and PASS/FAIL results.
