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flow-skill-cursor-agent-integration

Interact with the cursor-agent CLI and standardize its JSON, text, and stream-json outputs.

3|Updated Oct 5, 2025
Search Tags:#automation#cli#resume#benchmark#session#cursor-agent#output-format
One-click install
npx skills add https://github.com/korchasa/flow --skill flow-skill-cursor-agent-integration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flow-skill-cursor-agent-integration
Source: https://github.com/korchasa/flow/tree/main/.dev/skills/flow-skill-cursor-agent-integration
Command: npx skills add https://github.com/korchasa/flow --skill flow-skill-cursor-agent-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interacts with the cursor-agent CLI and standardizes its output formats (JSON, text, stream-json), session management (resume), and benchmark integration for automated agent workflows.

Core Features & Use Cases

  • Output format support: text, json, stream-json
  • Session management: resume sessions and history rehydration
  • Benchmark integration: compatibility with benchmark runners and tooling
  • Integration scenarios: used when building automated agents and CI workflows

Quick Start

Run a sample task with cursor-agent to observe how text, json, and stream-json outputs are produced and how sessions can be resumed

Frequently Asked Questions about flow-skill-cursor-agent-integration

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

FAQPage Schema
How do I parse stream-json output from cursor-agent in automated workflows?▼

Cursor-agent stream-json output is parsed by standardizing its structured metadata for automated agent workflows. This Skill handles stream-json, text, and json output formats to ensure compatibility with downstream CI tooling and benchmark runners.

How do I resume a cursor-agent session using a resume token?▼

Cursor-agent session resumption is managed via resume tokens to rehydrate session history. This allows automated agent tasks to continue from previous states without losing context during benchmark execution or CI workflows.

Can I integrate cursor-agent with benchmark runners for automated agent tasks?▼

Yes, cursor-agent integrates with benchmark runners through structured JSON metadata and standardized output formats. This compatibility enables automated benchmark execution and tool integration within CI pipelines.

What cursor-agent output formats are supported for tool integration?▼

Cursor-agent supports text, json, and stream-json output formats for tool integration. These formats enable structured metadata handling and session management when building automated agents and CI workflows.

When do I need to standardize cursor-agent output formats?▼

Cursor-agent output formats require standardization when building automated agents and CI workflows that depend on consistent JSON or text outputs. This ensures reliable session management and benchmark integration across automated tasks.

Does cursor-agent work with CI workflows for session management and benchmarks?▼

Cursor-agent works with CI workflows by providing session management through resume tokens and benchmark integration via structured JSON metadata. This supports automated agent tasks requiring history rehydration and standardized outputs.

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