Orchestrate wave-based background agents to execute dependency sub-DAGs until completion.
npx skills add https://github.com/gioe/python-libs --skill chain-gioe
Please help me install this Agent Skill. Skill: chain Source: https://github.com/gioe/python-libs/tree/main/.claude/skills/chain Command: npx skills add https://github.com/gioe/python-libs --skill chain-gioe
Orchestrate parallel execution of a dependency sub-DAG by validating heads, displaying scope, and spawning wave-based background agents until completion.
Provide one or more head task IDs to start a chain, then the system will validate heads, compute scope, and spawn waves automatically.
High-intent search queries and answers about installing and using this skill.
To orchestrate parallel task execution with dependencies, provide head task IDs to validate readiness, compute scope, and spawn background agents wave-by-wave until all downstream tasks complete.
Wave-based task management spawns concurrent background agents for multiple head tasks, automatically progressing downstream tasks as dependencies clear across each wave of the dependency sub-DAG.
Automate workflow coordination by validating concurrent head tasks, displaying the execution scope, and spawning background agents that manage task-state coordination through the chain lifecycle.
Yes, you can handle on-failure recovery strategies during parallel task orchestration to keep chains progressing safely or aborting, maintaining task-state coordination throughout the lifecycle.
No, you do not need to manually trigger downstream tasks; the system computes the dependency sub-DAG scope and automatically spawns waves of background agents as dependencies clear.
StrategicMilkGenerate updated DAG plans after task failures or budget overruns.
keugenekCheck Shark background job status, completed results, and recent logs.
hiddink-aiImplement a SubagentStop prompt hook to resume workflow execution after subagent completion.
L3DigitalNetManage multi-agent task waves and monitor teammate health states.
