smkalami / prompt-decorators
Prompt Decorators are structured prefixes, such as +++Reasoning and +++StepByStep, designed to enhance AI responses. Inspired by Python decorators, they make AI outputs more logical, accurate, and well-organized without requiring lengthy instructions, simplifying interactions for users.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Prompt Decorators extend the functionality of large language models by allowing structured, modular control over reasoning, style, and behavior. Each decorator enforces specific response rules, enabling users to declaratively modify how the model thinks and writes — without retraining.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 480
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| EgoAlpha / prompt-in-context-learning | 2,252 | today | MIT | No downloads |
| ridgerchu / matmulfreellm | 3,101 | 2 months ago | Apache-2.0 | No downloads |
| llm-exe / llm-exe | 138 | yesterday | MIT | No downloads |
More: topics and project record
Topics
- ai
- generative-ai
- large-language-model
- large-language-models
- llm
- llms
- prompt
- prompt-decorators
- prompt-engineering
Project record
- JobOther AI tools
- StatusListed
- Commits9
- Forks60
- Watching10
- Stars in 28 days+1
- CreatedFeb 16, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026