Prompt Audit Checklist
Libraries grow stale without periodic review. This audit template automates the cleanup process, catching duplicates, orphaned prompts, and outdated references in one pass.
Audit my prompt library and identify what needs attention.
Here are my prompts:
{{prompt_list}}
For each prompt, evaluate:
1. **Last used**: Has it been used in the past 30 days? If not, flag for archive.
2. **Duplicates**: Are any prompts doing essentially the same thing? Suggest consolidation.
3. **Missing metadata**: Does it have a clear name, description, and tags? Flag incomplete entries.
4. **Outdated references**: Does it reference specific model versions or features that may have changed?
5. **Performance**: Based on the prompt structure, flag any that use known anti-patterns (vague instructions, no format specification, missing constraints).
Return a summary with:
- Total prompts reviewed
- Prompts to archive (with reason)
- Prompts to merge (which ones and why)
- Prompts needing metadata updates
- Prompts needing content updates
- Top 5 highest-priority actions
Audit results:Variables to customize
Why this prompt works
Libraries grow stale without periodic review. This audit template automates the cleanup process, catching duplicates, orphaned prompts, and outdated references in one pass.
Save this prompt to your library
Organize, version, and access your best prompts across ChatGPT, Claude, and Cursor.
Related prompts
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 AgentThe ReAct pattern (Reason + Act) creates an explicit reasoning trace that improves tool selection accuracy. The error-handling rule prevents infinite retry loops.
Prompt CompressorExplicitly requiring all functional requirements to be preserved prevents the model from over-compressing and losing critical instructions.
Memory Management AgentExplicit memory read/write instructions create agents that improve over time. Categorization keeps memories organized, and the deduplication rule prevents context bloat.