Resource
Agent Instruction Prompt Formatter
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Bug Notes Prompt Formatter
Formats scattered bug observations — logs, guesses, reproduction steps, expected vs actual — into a structured debugging prompt.
Overview
Bug notes are written in the moment: partial observations, half-confirmed guesses, log snippets, and environment details all jumbled together. This formatter doesn't investigate the bug — it organises your notes into a structured debugging prompt so an AI assistant can reason from evidence instead of filling in gaps with plausible guesses.
How to use this resource
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Collect what you have
Paste your bug notes as-is: logs, observations, guesses, and reproduction steps in whatever order you have them.
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Open in Prompt Formatter
The formatter classifies each note by type — task, constraint, or output expectation — and groups them into a structured debugging prompt.
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Check the constraints section
Suspected causes and guesses tend to land in the Constraints section. Review them — if something is confirmed, make that explicit in your notes before reformatting.
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Use with your debugging assistant
Paste the structured prompt with any relevant code. Structured bug reports produce more specific root cause analysis.
Why This Works
- Separating observed facts from hypotheses prevents the AI from treating a guess as a confirmed cause and skipping the diagnostic step
- Explicit expected vs actual behavior is the most signal-dense part of a bug report — making it a top-level section ensures it gets read first
- Preserving log lines and error messages verbatim prevents the formatter from accidentally paraphrasing away the specific token that identifies the root cause
Best for
- Bug reports written under time pressure where structure was secondary to speed
- Notes that mix confirmed observations with unconfirmed guesses
- Bugs where reproduction steps exist but are scattered across the notes
Not for
- Bugs with no reproduction steps and only a vague symptom — more investigation is needed first
- Production incidents that require live triage — structure the notes after the incident, not during
Use cases
- Formatting Slack notes from a production incident into a structured debugging prompt
- Cleaning up a hasty bug report before escalating it to a senior engineer or AI assistant
- Organising your own investigation notes before asking an AI to help find the root cause
- Preparing a bug report that can be used both as a prompt and as a ticket description
FAQ
How does the formatter handle a guess I jotted down that I'm not sure about yet?
Anything that reads as a suspected cause lands in the Hypotheses section, tagged as unconfirmed, and the formatter is told not to confirm or deny it. So if your notes say 'probably a race condition,' that line moves under Hypotheses labeled unconfirmed rather than being promoted into Symptom or Actual Behavior as an established fact.
Will it rewrite or clean up my stack trace and log lines when it reformats?
It won't. A rule instructs the formatter to preserve technical details exactly and not paraphrase log lines or error messages, so stack traces and log output land verbatim under the Error Messages or Logs section. That keeps the specific token or line number that often pinpoints the root cause intact instead of being smoothed into prose.
What happens to sections like Environment or Reproduction Steps when my notes don't mention them?
Empty sections get dropped. A rule tells the formatter to omit any section with no content in the notes, so if you never wrote down the OS or version, the Environment heading won't appear as a blank placeholder. It also won't invent reproduction steps that weren't in your notes, so gaps stay visible rather than fabricated.
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Developer Request Prompt Formatter
Turns scattered technical instructions into a coding prompt with a clear task, code context, constraints, and expected output.
Resources that pair well
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Bug Triage Assistant
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
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Agent Task Template
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
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Prompt Cleanup Examples (Before & After)
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Related tools
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Prompt Formatter
Turn a messy, stream-of-consciousness prompt into a clean, structured one.