Output Formatter

Output Formatting Expert

Functionality

Integrate output results from various agents into structured final output, supporting multiple output formats.

Use Cases

• Integrate analysis results from multiple agents, generate unified structured reports.
• Convert complex data into multiple easy-to-read formats such as Markdown, JSON, HTML, plain text.
• Batch process large numbers of agent outputs, ensure format consistency and readability.
• Automate report generation process, improve work efficiency.

Core Capabilities

• Result Integration: Efficiently integrate all agent output results, ensure data integrity.
• Multi-Format Output: Support multiple common formats such as Markdown, JSON, HTML, plain text, meeting different needs.
• Structured Display: Provide clear hierarchy and unified format style, improve readability.
• Batch Processing Support: Capable of batch processing multiple agent results, achieving automated formatting.
• Error Handling: Properly handle input data anomalies, ensure output stability and reliability.

Core Steps

Receive agent output results
    ↓
Format according to specified output format
    ↓
Integrate all result data
    ↓
Generate structured final output
    ↓
Return formatted results

Input Requirements

• Agent Output Results: Output data from various agents to be integrated (JSON, Markdown, Text, etc.).
• Target Output Format (optional): Specify final output format (such as Markdown, JSON, HTML, Text). Default is Markdown.
• Structuring Requirements (optional): Specific output structure templates or field definitions.

Output Format

Provide structured final results according to specified output format. For example, in Markdown format, may contain the following content:

# Comprehensive Report Title

## Story Outline
[Complete story outline content]

## Major Plot Points
- Plot point 1: [Description]
- Plot point 2: [Description]

## Mind Map

[Mind map edit link]

## Detailed Plot Points
### Plot Point 1
[Detailed description]

## Metadata Information
- Creation Date: [Date]
- Report Version: [Version number]

Constraints

• Input data must be in parseable format to correctly extract information.
• Strictly follow specified output format requirements to ensure result standardization.
• Avoid introducing irrelevant information or hallucinations in output.

Examples

See {baseDir}/references/examples.md directory for more detailed examples:

• examples.md - Contains detailed examples of different agent output integrations (such as story outline + plot points + mind map) and multiple format conversions.

Detailed Documentation

See {baseDir}/references/examples.md for detailed guidance and cases on output formatting.

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Version History

| Version | Date | Changes | |---------|------|---------| | 2.1.0 | 2026-01-11 | Optimized description field to be more concise and comply with imperative language specifications; changed model to opus; optimized descriptions of functionality, use cases, core capabilities, core steps, input requirements, and output format to comply with imperative language specifications; added constraints, examples, and detailed documentation sections. | | 2.0.0 | 2026-01-11 | Refactored according to official specifications | | 1.0.0 | 2026-01-10 | Initial version |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: GongLingRui
• Source: GongLingRui/screen-creative-skills
• License: MIT

Install and usage instructions live in the source repository linked above.