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batch-review

Coordinate parallel and sequential batches for multi-file code review and migration.

11|1|Updated Feb 9, 2026
Search Tags:#automation#code review#migration#batch-processing#agent-swarms#sequential-pipeline
One-click install
npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill batch-review-mindcockpit-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: batch-review
Source: https://github.com/mindcockpit-ai/cognitive-core/tree/main/core/skills/batch-review
Command: npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill batch-review-mindcockpit-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates large multi-file workloads that exceed single-pass capacity by selecting the appropriate execution tier, coordinating parallel or sequential processing, and producing consolidated, actionable findings to reduce manual effort and inconsistency.

Core Features & Use Cases

  • Agent Swarms: spawn parallel agents for 5-20 independent units to speed up PR reviews and multi-file refactors.
  • Structured Batch: submit and monitor large asynchronous batches for mass migrations, linting, or test generation across 50+ items.
  • Sequential Pipeline: enforce strict dependency order for ordered migrations, multi-step refactors, and database schema changes with rollback gating and validation.
  • Aggregation & Analysis: collect per-unit results, deduplicate findings, perform cross-cutting analysis, and output unified reports with severity and remediation guidance.

Quick Start

Review all 12 changed files in this PR using a Tier 1 agent swarm and return a consolidated findings report.

Frequently Asked Questions about batch-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review for a large pull request with many changed files?▼

Automate mass code migrations by submitting large asynchronous batches to process 50+ items simultaneously, managing the dependency graph and validating outputs against acceptance criteria to ensure consistency.

What is the best way to handle multi-step refactors with strict dependency ordering?▼

Scale multi-file refactor workloads by selecting the appropriate execution tier, coordinating parallel agent swarms for independent units or sequential pipelines for dependent chains, and aggregating actionable findings.

Can I run mass linting and formatting across 50 or more files in a single batch?▼

Generate tests for multiple files by applying the structured batch execution tier to submit large asynchronous workloads, aggregating per-unit results and validating outputs against acceptance criteria.

How does batch processing coordinate parallel agents for independent code review units?▼

Consolidate multi-file review findings through aggregation and analysis, which collects per-unit results, deduplicates findings, performs cross-cutting analysis, and outputs unified reports with remediation guidance.

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