parallel-infrastructure

name	parallel-infrastructure
description	Shared parallel execution infrastructure: DAG scheduling, review dispatch, consensus synthesis, scope checking
category	Infrastructure
tags	["parallel","infrastructure","dag","review","consensus"]
user_invocable	false

Parallel Infrastructure

Non-user-invocable infrastructure skill providing shared scripts for parallel execution workflows. Used by implement-feature, autopilot, fix-scrub, merge-pull-requests, and other skills that need DAG scheduling, multi-vendor review dispatch, or consensus synthesis.

Scripts

scripts/dag_scheduler.py

DAG computation and topological sort for work-packages.yaml.

scripts/scope_checker.py

Post-execution scope verification — checks that agent changes stayed within declared write_allow / deny boundaries.

scripts/package_executor.py

Work package execution protocol for coordinated-tier worker agents.

scripts/review_dispatcher.py

Multi-vendor review dispatch — sends review prompts to configured vendor CLIs and collects findings.

scripts/consensus_synthesizer.py

Synthesizes review findings from multiple vendors into a consensus report with confirmed/unconfirmed/disagreement classifications.

scripts/integration_orchestrator.py

Cross-package integration management — tracks package completion, consensus recording, and integration gating.

scripts/result_validator.py

Validates work-queue results against work-queue-result.schema.json.

scripts/circuit_breaker.py

Fault tolerance for external service calls with configurable thresholds.

scripts/escalation_handler.py

Escalation protocol for scope violations, resource conflicts, and review disagreements.

Usage

Other skills reference these scripts via relative path:

python3 "<skill-base-dir>/../parallel-infrastructure/scripts/review_dispatcher.py" [args]

Or import programmatically:

import sys, os
scripts_dir = os.path.join(os.path.dirname(__file__), "..", "..", "parallel-infrastructure", "scripts")
sys.path.insert(0, scripts_dir)
from review_dispatcher import ReviewOrchestrator
from consensus_synthesizer import ConsensusSynthesizer