How does this skill improve AI agent completion rates?

It focuses on improving the quality of the 'action space' and 'observation format,' ensuring the AI has clear instructions on how to use tools and structured feedback when things go wrong.

Does it provide error handling strategies?

Absolutely. It defines an 'Error Recovery Contract' that includes root cause prompts, safe retry instructions, and explicit stopping conditions to prevent infinite loops.

What architectural patterns does this skill support?

It provides guidance for ReAct (exploratory tasks), structured Function Calling, and a recommended Hybrid mode that combines ReAct planning with typed tool execution.

Can this skill help reduce my API costs?

Yes, by implementing context budget management and reducing the number of retries per task, it helps minimize token consumption and overall operational costs.

Agent Harness Architect

Name: Agent Harness Architect
Author: affaan-m

byaffaan-m

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137,499

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Data Science & ML

Optimizes AI agent action spaces, tool definitions, and observation formats to maximize task completion rates and reliability.

The Agent Harness Construction skill provides a comprehensive framework for engineering robust AI agentic behaviors within Claude Code and similar environments. It focuses on the critical engineering pillars of action space design, observation quality, and context management to prevent common agent failure modes. By implementing structured tool schemas, error-recovery contracts, and architectural patterns like ReAct or Hybrid execution, this skill helps developers build agents that are more predictable, cost-effective, and capable of autonomous error correction in complex development workflows.

Key Features

01Standardized observation formats including status, summaries, and artifacts

02Guidance on architectural patterns including ReAct and Hybrid execution modes

03Optimized action space design for stable tool naming and narrow input schemas

04Advanced error recovery contracts with root cause analysis and retry logic

05Context budget management to prevent token bloat and maintain performance

06137,499 GitHub stars

Use Cases

01Scaling complex AI workflows by optimizing how tools interact with the context window

02Reducing agent loop failures through structured error-handling and recovery prompts

03Building high-reliability agents for sensitive tasks like database migrations or deployments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code agent-harness-construction

For use in Claude.ai and ChatGPT

Key Features

01Standardized observation formats including status, summaries, and artifacts

02Guidance on architectural patterns including ReAct and Hybrid execution modes

03Optimized action space design for stable tool naming and narrow input schemas

04Advanced error recovery contracts with root cause analysis and retry logic

05Context budget management to prevent token bloat and maintain performance

06137,499 GitHub stars

Use Cases

01Scaling complex AI workflows by optimizing how tools interact with the context window

02Reducing agent loop failures through structured error-handling and recovery prompts

03Building high-reliability agents for sensitive tasks like database migrations or deployments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code agent-harness-construction

For use in Claude.ai and ChatGPT