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Controlflow Router (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Use when a task broadly matches ControlFlow and you need to decide whether to start with spec capture, strict workflow, planning, pre-execution pl

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

The Controlflow Router is a security-tested data-ai skill designed for Claude AI, specifically for tasks that align with ControlFlow. It helps determine the initial approach for a task by choosing between spec capture, strict workflow, planning, or pre-execution planning. This skill is graded 'A', indicating a high level of performance and reliability. It is part of a larger framework that aims to streamline and optimize AI workflows, particularly in scenarios requiring structured and controlled processing.

Key features

  • Task routing based on predefined strategies.
  • Integration with Claude AI for enhanced performance.
  • Security testing for reliable data handling.
  • Flexible initial approach selection.

Pricing

Model
Free
Category
Skills
Rating
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Use cases

Data Processing Workflow Optimization

The Controlflow Router can be used to determine the most efficient initial approach for data processing tasks, ensuring that the workflow is optimized for Claude AI.

AI-Driven Planning and Execution

It can help in planning and executing AI-driven tasks by choosing the best initial strategy, such as spec capture or pre-execution planning, depending on the task's requirements.

Pros & Cons

Pros

  • Highly specialized for Claude AI, ensuring seamless integration and optimized performance.
  • Security-tested, providing a reliable and safe solution for handling sensitive data.
  • Flexible in its approach, allowing for various initial strategies depending on the task's requirements.

Cons

  • Limited to tasks that broadly match ControlFlow, which might restrict its applicability.
  • Dependence on Claude AI might limit its use with other AI models.

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Q&A

What Cursor does and does not do

Does: Durable plan → inline verify → native execution → plan‑aware review. Does not: Recreate the VS Code roster, orchestration runtime, approvals, retries, or model routing. See docs/agent-engineering/CURSOR‑SUPPORT.md and plugins/controlflow‑cursor/USAGE.md.

Asked by Lena Fischer · Oct 14, 2025

When to Use Which Agent

Scenario: Abstract idea or vague goal → Agent: @Planner → Idea interview → phased plan → Mermaid diagram. Detailed task, clear requirements → Agent: @Orchestrator → Dispatches subagents → verification gates → phase‑by‑phase execution. Research question → Agent: @Researcher → Evidence‑based investigation with confidence scores. Quick codebase exploration → Agent: @CodeMapper → Read‑only discovery — files, dependencies, entry points. Typical workflow: @Planner authors a plan → you approve → @Orchestrator executes it with full subagent coordination, review gates, and approvals.

Asked by Bianca Ferreira · Sep 27, 2025

Why ControlFlow?

Single Agent vs ControlFlow (13 agents): Planning – Agent guesses architecture on-the-fly vs Planner runs structured idea interview, produces phased plan with Mermaid diagrams. Quality gates – None vs PlanAuditor + AssumptionVerifier + ExecutabilityVerifier audit before implementation. Execution – Sequential, monolithic vs Wave-based parallel execution with inter-phase contracts. Failures – Silent or catastrophic vs Classified (transient/fixable/needs replan/escalate, plus model unavailable) with bounded retry routing. Scope drift – Common vs LLM Behavior Guidelines enforce surgical changes. Verification – Manual vs Offline eval suite + CodeReviewer gates every phase.

Asked by Noor Siddiqui · Sep 6, 2025

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