Back to guide/General Productivity

SOP Writer

Imperative language and decision trees for variations produce SOPs that are actually followed, not just filed away.

ai-workflow-toolsprocess_nameprocess_ownerdepartment
Edit View
Prompt
Write a Standard Operating Procedure (SOP) for {{process_name}}.\n\nProcess owner: {{process_owner}}\nDepartment: {{department}}\nFrequency: {{frequency}}\nTools used: {{tools_list}}\n\nRough process notes:\n{{rough_notes}}\n\nGenerate a formal SOP document with:\n1. Document header: title, version (1.0), effective date, owner, approver\n2. Purpose: why this SOP exists (one paragraph)\n3. Scope: who this applies to and when\n4. Prerequisites: what must be in place before starting\n5. Procedure: numbered steps with sub-steps where needed\n   - For each step: action, responsible role, expected output, time estimate\n6. Decision trees: if/then branches for common variations\n7. Quality checks: verification points throughout the process\n8. Exception handling: what to do when the standard process breaks\n9. Revision log template\n\nUse clear, imperative language ("Click the export button", not "You should click the export button").

Variables to customize

{{process_name}}{{process_owner}}{{department}}{{frequency}}{{tools_list}}{{rough_notes}}

Why this prompt works

Imperative language and decision trees for variations produce SOPs that are actually followed, not just filed away.

Save this prompt to your library

Organize, version, and access your best prompts across ChatGPT, Claude, and Cursor.

Related prompts

Task Decomposition Agent

Forcing the agent to plan before acting prevents premature execution and wasted steps. Explicit dependency mapping enables parallel execution and catches logical gaps early.

Tool Selection Agent

The ReAct pattern (Reason + Act) creates an explicit reasoning trace that improves tool selection accuracy. The error-handling rule prevents infinite retry loops.

Prompt Compressor

Explicitly requiring all functional requirements to be preserved prevents the model from over-compressing and losing critical instructions.

Memory Management Agent

Explicit memory read/write instructions create agents that improve over time. Categorization keeps memories organized, and the deduplication rule prevents context bloat.