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Prompts Open Source Contribution Personal Story Writer

developer writing template risk: low

Open Source Contribution Personal Story Writer

The prompt asks the model to write a personal story about why the user started contributing to open source, what drives them, and how sponsorship helps continue this journey in a s…

PROMPT

Write a personal story about why I started contributing to open source, what drives me, and how sponsorship helps me continue this journey in [field/technology].

INPUTS

field/technology REQUIRED

Specific field or technology area for the open source contributions

e.g. machine learning

EXPECTED OUTPUT

Format
plain_text

SUCCESS CRITERIA

  • Cover reasons for starting open source contributions.
  • Describe personal drives for contributing.
  • Explain how sponsorship supports continuing in [field/technology].

FAILURE MODES

  • May generate generic or impersonal story.
  • Could ignore [field/technology] placeholder.
  • Might not structure as a cohesive personal narrative.

CAVEATS

Dependencies
  • Requires specification of [field/technology].
Missing context
  • Specific personal details or real experiences for authenticity.
  • Target audience (e.g., potential sponsors, general readers).
  • Output format (e.g., blog post, short paragraph).
Ambiguities
  • Does not specify story length or tone (e.g., inspirational, professional).
  • Unclear if first-person perspective is strictly required, though implied.

QUALITY

OVERALL
0.80
CLARITY
0.90
SPECIFICITY
0.70
REUSABILITY
0.90
COMPLETENESS
0.70

IMPROVEMENT SUGGESTIONS

  • Add 'Write in first-person perspective as an open source contributor.'
  • Specify 'Aim for 400-600 words in an inspirational tone.'
  • Include structure: 'Structure as introduction, motivation, challenges, sponsorship impact, and call to action.'
  • Provide examples of [field/technology] or make placeholder more prominent.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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