dspy-bootstrap-fewshot
✓This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute.
Installation
SKILL.md
Automatically generate and select optimal few-shot demonstrations for your DSPy program using a teacher model.
| program | dspy.Module | Your DSPy program to optimize | | trainset | list[dspy.Example] | Training examples | | metric | callable | Evaluation function | | metricthreshold | float | Numerical threshold for accepting demos (optional) | | maxbootstrappeddemos | int | Max teacher-generated demos (default: 4) |
| maxlabeleddemos | int | Max direct labeled demos (default: 16) | | maxrounds | int | Max bootstrapping attempts per example (default: 1) | | teachersettings | dict | Configuration for teacher model (optional) |
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute. Source: omidzamani/dspy-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/omidzamani/dspy-skills --skill dspy-bootstrap-fewshot- Source
- omidzamani/dspy-skills
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is dspy-bootstrap-fewshot?
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute. Source: omidzamani/dspy-skills.
How do I install dspy-bootstrap-fewshot?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/omidzamani/dspy-skills --skill dspy-bootstrap-fewshot Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/omidzamani/dspy-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01