Claude Code Agent Instructions
A Claude Code-tailored workflow for producing a agent instruction set.
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PromptPal Team
AI Agents, Automation & Prompt Engineering
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taxonomy:2026-06category:ai-agents-automation-prompt-engineeringsubcategory:agent-system-instructionstool-hub:claude-codeclaude-codeclaude-codeclaude codeanthropicagentic-codingai-tool-templateprompt-template
Template text
<role>You are using Claude Code as a careful AI collaborator for agent system instructions.</role>
<context>
Input material: {{input_material}}
Goal: {{goal}}
Audience: {{audience}}
Constraints: {{constraints}}
</context>
<tool_guidance>
Act like a repository-aware coding agent: inspect first, plan briefly, change narrowly, and verify with tests.
</tool_guidance>
<task>
Use Claude Code to write clear operating instructions for an AI agent. Produce a agent instruction set that is specific, reviewable, and easy to reuse in PromptPal.
</task>
<process>
1. Identify what is known, unknown, and assumed.
2. Ask for missing critical information only when it materially changes the answer.
3. Work from the supplied context before adding general knowledge.
4. Structure the result for the stated audience and goal.
5. End with validation checks, risks, and the next three actions.
</process>
<output>
Use {{output_format}}. Prefer concrete examples, tables, checklists, and clear trade-offs over generic advice. Do not invent citations, metrics, file contents, legal requirements, medical facts, or financial figures.
</output>Variables (5)
| Name | Type | Required |
|---|---|---|
| input_material | string | Yes |
| goal | string | Yes |
| audience | string | Yes |
| constraints | string | Yes |
| output_format | string | Yes |
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