AI Prompt Managers Compared

Design an optimal folder structure for organizing {{prompt_count}} AI prompts.

My use cases: {{use_cases}}
AI tools I use: {{ai_tools}}
Team size: {{team_size}}

Requirements:
1. Maximum 3 levels of nesting (deeper gets unwieldy)
2. Every prompt should have exactly one obvious home folder
3. Include a naming convention for folders
4. Add an "Inbox" folder for unsorted new prompts
5. Include archive folders for retired prompts

Output the full folder tree with descriptions, plus 5 rules for maintaining it over time.

Create a weighted evaluation matrix for comparing prompt management tools.

My requirements (rank by importance):
- {{requirement_1}}
- {{requirement_2}}
- {{requirement_3}}
- {{requirement_4}}
- {{requirement_5}}

Tools to compare: {{tools_to_compare}}

For each tool, score 1-5 on each requirement. Weight scores by my importance ranking. Include:
1. Raw scores table
2. Weighted scores table
3. Winner per category
4. Overall recommendation with rationale
5. Deal-breakers (any score of 1 that disqualifies a tool regardless of total)

Be objective — note where data is uncertain and suggest how to verify.

Analyze these prompts and identify duplicates, near-duplicates, and merge candidates.

Prompts:
{{prompt_list}}

For each group of similar prompts:
1. List the prompts that overlap (include the key phrases that make them similar)
2. Rate similarity: exact duplicate, near-duplicate (>80% overlap), or merge candidate (different angle, same goal)
3. Recommend: keep which one, archive the rest, or merge into a new combined version
4. If merging, write the merged prompt

Output a summary: total prompts analyzed, duplicates found, recommended actions, estimated library reduction percentage.

Adapt this prompt to work well across multiple AI tools.

Original prompt (written for {{original_tool}}):
{{original_prompt}}

Target tools: {{target_tools}}

For each target tool:
1. Identify syntax or conventions that are tool-specific (e.g., XML tags for Claude, system messages for ChatGPT)
2. Rewrite the prompt optimized for that tool
3. Note any capabilities the target tool lacks that the original relies on
4. Suggest workarounds for missing capabilities

Finally, write a "universal" version that works reasonably well across all listed tools, with comments marking where tool-specific customization helps most.

Improve the searchability of this prompt in my library.

Prompt title: {{current_title}}
Prompt content: {{prompt_content}}
Current tags: {{current_tags}}

Generate:
1. 3 alternative titles (descriptive, action-oriented, and keyword-rich)
2. A one-line description for search results
3. 5-8 tags covering: use case, AI model, output type, complexity, and domain
4. 3 semantic search phrases someone might type when looking for this prompt
5. Related prompts I should cross-reference or link to

Optimize for someone searching 6 months from now who has forgotten this prompt exists but remembers the general use case.

Compare the daily workflow of managing prompts with {{tool_a}} versus {{tool_b}}.

My typical daily workflow:
1. {{workflow_step_1}}
2. {{workflow_step_2}}
3. {{workflow_step_3}}

For each workflow step, compare:
- Number of clicks/actions required in each tool
- Time estimate per task
- Friction points (switching tabs, manual copying, lost context)
- Automation possibilities

Calculate total daily time spent on prompt management in each tool. Identify the single biggest time-saver if I switch. Be specific with numbers, not vague comparisons.