Text to Prompts

GPTClaudeDeepSeek··▲ 489 copies·updated 2026-07-14

text-to-prompts.prompt

# textToPrompt Spec

## Refinement Rules

1. Normalize whitespace and line endings.
2. Preserve bullet points and list structure.
3. Extract constraint lines that include keywords like: `must`, `do not`, `avoid`, `include`.
4. Detect deliverable hints (e.g., report, code, email, plan, checklist) from the input text.
5. Generate deterministic, Markdown-formatted prompts with mode-specific structure.
6. Always include guardrails: do not invent facts, ask if unknown, be explicit about assumptions.

## Templates Per Mode

### Easy

- Goal
- Context
- Input
- Requested Output Format
- Constraints
- Optional: Assumptions, Clarifying Questions, Acceptance Criteria
- Output Format Rules
- Guardrails

### Medium

- Role
- Goal
- Context
- Constraints
- Optional: Assumptions, Clarifying Questions, Acceptance Criteria
- Output Format Rules
- Guardrails

### Hard

- Role
- Definitions
- Goal
- Non Goals
- Constraints
- Optional: Assumptions, Clarifying Questions, Acceptance Criteria
- Validation Checklist
- Output Format Rules
- Two-Step Chain:
  1. Plan only
  2. Execute and verify
- Guardrails

## Prompt Pack Structure

Prompt Pack always produces three prompts:

1. Discovery Prompt
2. Plan Prompt
3. Execution Prompt

Each prompt inherits the same mode structure and constraints, with a short Focus section to emphasize the intent of the prompt.

## Storage Schema

### Settings

Key: `textToPrompt.settings`

when to use it

Community prompt sourced from the open-source GitHub repo CarlasHub/textToPrompt (no explicit license). A "Text to Prompts" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.