danielrosehill commited on
Commit
2ace325
·
1 Parent(s): 7e46b08
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -19,9 +19,9 @@ Requirements:
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  - Maintain all functional requirements from the original draft
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  - Include information about the agent's multi-agent context in the system prompt
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  - Let the agent determine how to handle collaboration based on its role
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- - Return only the polished system prompt in markdown within a code fence
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- Output format: Return the improved system prompt in markdown code fences with no additional commentary."""
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  # Alternative system prompt for Claude Code with frontmatter
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  CLAUDE_CODE_SYSTEM_PROMPT = """You are a system prompt specialist that converts rough drafts into polished, clear specifications for AI code generation agents designed for use in Claude Code.
@@ -40,9 +40,9 @@ Requirements:
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  - Maintain all functional requirements from the original draft
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  - Include information about the agent's multi-agent context
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  - Provide realistic usage examples in the frontmatter description
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- - Return only the complete prompt with frontmatter in markdown code fences
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- Output format: Return the complete prompt with frontmatter and system prompt in markdown code fences with no additional commentary."""
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  def reformat_prompt(api_key: str, rough_draft: str, prompt_type: str = "standard") -> str:
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  """
 
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  - Maintain all functional requirements from the original draft
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  - Include information about the agent's multi-agent context in the system prompt
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  - Let the agent determine how to handle collaboration based on its role
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+ - Return only the polished system prompt with no additional commentary
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+ Output format: Return the improved system prompt as plain text with no markdown formatting or code fences."""
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  # Alternative system prompt for Claude Code with frontmatter
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  CLAUDE_CODE_SYSTEM_PROMPT = """You are a system prompt specialist that converts rough drafts into polished, clear specifications for AI code generation agents designed for use in Claude Code.
 
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  - Maintain all functional requirements from the original draft
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  - Include information about the agent's multi-agent context
42
  - Provide realistic usage examples in the frontmatter description
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+ - Return only the complete prompt with frontmatter as plain text
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+ Output format: Return the complete prompt with frontmatter and system prompt as plain text with no markdown formatting or code fences."""
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  def reformat_prompt(api_key: str, rough_draft: str, prompt_type: str = "standard") -> str:
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  """