Execute FABER plans by spawning faber-manager agents for each item.
npx skills add https://github.com/fractary/claude-plugins --skill faber-executor
Please help me install this Agent Skill. Skill: faber-executor Source: https://github.com/fractary/claude-plugins/tree/main/plugins/faber/skills/faber-executor Command: npx skills add https://github.com/fractary/claude-plugins --skill faber-executor
This Skill executes FABER plans by spawning managers for each plan item, waits for completion, and aggregates results. The approach keeps execution deterministic and simple.
Execute a plan by ID to run all items and collect results.
High-intent search queries and answers about installing and using this skill.
faber-executor spawns faber-manager agents for each plan item and orchestrates them in parallel or serial mode via the Task tool. Load your plan file, and the executor handles agent spawning, monitors completion, and aggregates results automatically.
Plan execution requires jq and bash as dependencies. Prepare your plan file in the expected format, then faber-executor reads it, validates the structure, spawns per-item managers, and maintains run logs throughout the workflow.
faber-executor automatically collects and aggregates results from all spawned managers after completion. Results are consolidated into a single output, eliminating manual result collection across parallel or serial task runs.
Yes, faber-executor implements crash-safe aggregation and maintains run logs to track execution state. If a manager agent fails, the executor's state management detects it and handles recovery without losing progress on other plan items.
faber-executor executes existing FABER plans deterministically without requiring plan creation logic. It focuses solely on reliable spawning, monitoring, and aggregation, keeping execution simple and resilient compared to manual orchestration.
Yes, faber-executor handles both parallel and serial task orchestration through the Task tool. Choose your execution model based on workflow requirements, and the executor manages agent spawning and result aggregation accordingly.
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