Text Agent Client

Documents

text-agent-client

Text Agent Client is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Interact with the Text Processing AI Agent. Use when you need text analysis, formatting, or processing capabilities from the agent.

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How to use this skill

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Prompt to paste

Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/development/text-agent-client-nxt3d-rest-ap/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/text-agent-client, but wait for my approval before writing files or running scripts.

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Text Processing Agent Client Skill

Overview

This skill teaches how to effectively interact with the Text Processing AI Agent's REST-AP endpoints for various text operations.

When to Use This Skill

Need text analysis or processing
Want to format or transform text content
Require document processing capabilities
Need content validation or cleaning

Agent Interaction Patterns

Basic Text Operations

# Echo text through the agent
curl -X POST http://agent.example.com/text/echo \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello World"}'

Conversational Interaction

# Talk to the agent for guidance
curl -X POST http://agent.example.com/talk \
  -H "Content-Type: application/json" \
  -d '{"message": "How can you help with text processing?"}'

Agent Communication Workflow

Discover Capabilities: Check /.well-known/restap.json for available operations
Talk First: Use /talk endpoint to understand agent capabilities and get guidance
Execute Tasks: Call specific capability endpoints based on agent guidance
Monitor Progress: Check /news endpoint for long-running operation updates

Best Practices

Always check agent capabilities before making requests
Use the /talk endpoint to understand proper usage patterns
Handle both successful responses and error cases
Respect rate limits and implement appropriate backoff
Validate response formats before processing

Common Interaction Patterns

Start with capability discovery via /.well-known/restap.json
Use /talk for complex requests or when unsure of proper usage
Implement proper error handling for network issues
Monitor /news for asynchronous operation completion
Cache agent capabilities to reduce discovery overhead