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sharaf/agent-prompt-engineer

Write or audit AI agent system prompts component-by-component across identity, instruction architecture, behavioral constraints, tools, examples, context strategy, output format, and error handling. Use when the user wants to design a new agent prompt, write a system prompt, review an existing agent prompt, fix tool-use instructions, audit prompt structure, improve context strategy, tune output formats, or define error handling for single-agent or multi-agent systems.

100

1.33x
Quality

100%

Does it follow best practices?

Impact

100%

1.33x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

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No evaluation data available

Tessl evals compare success rates of agents with and without our optimized context