Enforce capacity limits and allowlists for AI agent assignments across universes.
npx skills add https://github.com/jmservera/aithena --skill casting-policy
Please help me install this Agent Skill. Skill: casting-policy Source: https://github.com/jmservera/aithena/tree/main/.squad/templates Command: npx skills add https://github.com/jmservera/aithena --skill casting-policy
This Skill helps manage the assignment of AI agents to specific "universes" (projects or tasks) by defining capacity limits and allowlists, preventing over-allocation and ensuring efficient resource distribution.
Use the casting policy skill to check the current capacity for the 'Star Wars' universe.
High-intent search queries and answers about installing and using this skill.
Manage AI agent assignments by enforcing capacity limits and allowlists to prevent resource contention. This ensures efficient resource distribution and prevents any single project stream from being overloaded with too many agents.
Universe capacity management sets maximum AI agent limits for different projects or task domains. It defines which universes agents are permitted to be assigned to using allowlists, maintaining balanced workload distribution.
Dynamically allocate and deallocate AI agents across projects by enforcing predefined capacity limits and allowlists. This prevents over-allocation and ensures efficient resource distribution across various task domains.
Use JSON to configure universe capacities and agent allowlists for AI team management. This format allows you to define specific project constraints and permitted agent assignments to prevent bottlenecks.
Prevent over-allocation of AI agents in parallel development streams by enforcing capacity limits and allowlists. This approach maintains balanced workload distribution and prevents bottlenecks across multiple projects.
bradygasterEnforce AI agent assignment limits across fictional universes via JSON configuration.
cosmicstack-labsAutomate task delegation and load balancing across multi-agent fleets.
suhwanCoordinate multiple AI subagents with dependency-aware execution and result aggregation.
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