Agent skill

Dspy Bootstrap Fewshot

A skill your agent uses for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.

MITAuto-check passedAI & LLM Engineering

Install Dspy Bootstrap Fewshot

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-bootstrap-fewshot --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/OmidZamani/dspy-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dspy-bootstrap-fewshot .claude/skills/dspy-bootstrap-fewshot && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "dspy-bootstrap-fewshot" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot into .claude/skills/dspy-bootstrap-fewshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-bootstrap-fewshot", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-bootstrap-fewshot --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OmidZamani/dspy-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dspy-bootstrap-fewshot .agents/skills/dspy-bootstrap-fewshot && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dspy-bootstrap-fewshot" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot into .agents/skills/dspy-bootstrap-fewshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-bootstrap-fewshot", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-bootstrap-fewshot --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OmidZamani/dspy-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dspy-bootstrap-fewshot .cursor/skills/dspy-bootstrap-fewshot && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dspy-bootstrap-fewshot" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot into .cursor/skills/dspy-bootstrap-fewshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-bootstrap-fewshot", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/OmidZamani/dspy-skills.git --path skills/dspy-bootstrap-fewshot

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-bootstrap-fewshot --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OmidZamani/dspy-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dspy-bootstrap-fewshot .gemini/skills/dspy-bootstrap-fewshot && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dspy-bootstrap-fewshot" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot into .gemini/skills/dspy-bootstrap-fewshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-bootstrap-fewshot", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-bootstrap-fewshot

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OmidZamani/dspy-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dspy-bootstrap-fewshot .github/skills/dspy-bootstrap-fewshot && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dspy-bootstrap-fewshot" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot into .github/skills/dspy-bootstrap-fewshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-bootstrap-fewshot", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-bootstrap-fewshot --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OmidZamani/dspy-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dspy-bootstrap-fewshot .opencode/skills/dspy-bootstrap-fewshot && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dspy-bootstrap-fewshot" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-bootstrap-fewshot into .opencode/skills/dspy-bootstrap-fewshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-bootstrap-fewshot", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: dspy-bootstrap-fewshot
GitHub stars: 123
Token cost: ~1.3k tokens
SKILL.md length: 228 words
Files: 2
Skills in repo: 17
Repo updated: Jun 23, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.

Works in 4 steps: Setup → Define Program and Metric → Compile → …
BootstrapFewShot
SKILL.md covers Goal, When to Use, Related Skills and Inputs, plus 6 more sections
Runs Python scripts from its folder

What it does

Dspy Bootstrap Fewshot is an agent skill from OmidZamani/dspy-skills. Use for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `example.py`).

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically. The licence is MIT.

When your agent uses it

BootstrapFewShot
Bootstrapped demonstrations
Teacher-model demos
Low-data DSPy prompt optimization

Example prompts

“/dspy-bootstrap-fewshot”

Requirements

Python 3
Pre-approved tools (allowed-tools): Read, Write, Glob, Grep

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Setup
Define Program and Metric
Compile
Use and Save

What it can do on your machine

Read from SKILL.md and the folder at commit f5db3b7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Write
- Glob
- Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- dspy.ai
- github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dspy Bootstrap Fewshot loads about 1.3k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~34
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OmidZamani/dspy-skills at commit f5db3b7, republished under its MIT licence (© OmidZamani). 228 words, ~1,279 tokens.

Download SKILL.mdSave it as .claude/skills/dspy-bootstrap-fewshot/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: dspy-bootstrap-fewshot
description: Use for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.
allowed-tools: Read, Write, Glob, Grep
version: 1.0.0
dspy-compatibility: 3.2.1
tags: optimizer

DSPy Bootstrap Few-Shot Optimizer

Goal

Automatically generate and select optimal few-shot demonstrations for your DSPy program using a teacher model.

When to Use

You have 10-50 labeled examples
Manual example selection is tedious or suboptimal
You want demonstrations with reasoning traces
Quick optimization without extensive compute

For more data (200+ examples): dspy-miprov2-optimizer
For agentic systems: dspy-gepa-reflective
Measure improvements: dspy-evaluation-suite

Inputs

Input	Type	Description
`program`	`dspy.Module`	Your DSPy program to optimize
`trainset`	`list[dspy.Example]`	Training examples
`metric`	`callable`	Evaluation function
`metric_threshold`	`float`	Numerical threshold for accepting demos (optional)
`max_bootstrapped_demos`	`int`	Max teacher-generated demos (default: 4)
`max_labeled_demos`	`int`	Max direct labeled demos (default: 16)
`max_rounds`	`int`	Max bootstrapping attempts per example (default: 1)
`teacher_settings`	`dict`	Configuration for teacher model (optional)

Outputs

Output	Type	Description
`compiled_program`	`dspy.Module`	Optimized program with demos

Workflow

Phase 1: Setup

python

import dspy
from dspy.teleprompt import BootstrapFewShot

# Configure LMs
dspy.configure(lm=dspy.LM("openai/gpt-4o-mini"))

Phase 2: Define Program and Metric

python

class QA(dspy.Module):
    def __init__(self):
        self.generate = dspy.ChainOfThought("question -> answer")
    
    def forward(self, question):
        return self.generate(question=question)

def validate_answer(example, pred, trace=None):
    return example.answer.lower() in pred.answer.lower()

Phase 3: Compile

python

optimizer = BootstrapFewShot(
    metric=validate_answer,
    max_bootstrapped_demos=4,
    max_labeled_demos=4,
    teacher_settings={'lm': dspy.LM("openai/gpt-4o")}
)

compiled_qa = optimizer.compile(QA(), trainset=trainset)

Phase 4: Use and Save

python

# Use optimized program
result = compiled_qa(question="What is photosynthesis?")

# Save for production (state-only, recommended)
compiled_qa.save("qa_optimized.json", save_program=False)

Production Example

python

import dspy
from dspy.teleprompt import BootstrapFewShot
from dspy.evaluate import Evaluate
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class ProductionQA(dspy.Module):
    def __init__(self):
        self.cot = dspy.ChainOfThought("question -> answer")
    
    def forward(self, question: str):
        try:
            return self.cot(question=question)
        except Exception as e:
            logger.error(f"Generation failed: {e}")
            return dspy.Prediction(answer="Unable to answer")

def robust_metric(example, pred, trace=None):
    if not pred.answer or pred.answer == "Unable to answer":
        return 0.0
    return float(example.answer.lower() in pred.answer.lower())

def optimize_with_bootstrap(trainset, devset):
    """Full optimization pipeline with validation."""
    
    # Baseline
    baseline = ProductionQA()
    evaluator = Evaluate(devset=devset, metric=robust_metric, num_threads=4)
    baseline_score = evaluator(baseline)
    logger.info(f"Baseline: {baseline_score:.2%}")
    
    # Optimize
    optimizer = BootstrapFewShot(
        metric=robust_metric,
        max_bootstrapped_demos=4,
        max_labeled_demos=4
    )
    
    compiled = optimizer.compile(baseline, trainset=trainset)
    optimized_score = evaluator(compiled)
    logger.info(f"Optimized: {optimized_score:.2%}")
    
    if optimized_score > baseline_score:
        compiled.save("production_qa.json", save_program=False)
        return compiled
    
    logger.warning("Optimization didn't improve; keeping baseline")
    return baseline

Best Practices

Quality over quantity - 10 excellent examples beat 100 noisy ones
Use stronger teacher - GPT-4 as teacher for GPT-3.5 student
Validate with held-out set - Always test on unseen data
Start with 4 demos - More isn't always better

Limitations

Requires labeled training data
Teacher model costs can add up
May not generalize to very different inputs
Limited exploration compared to MIPROv2

Official Documentation

DSPy Documentation: https://dspy.ai/
DSPy GitHub: https://github.com/stanfordnlp/dspy
BootstrapFewShot API: https://dspy.ai/api/optimizers/BootstrapFewShot/
Optimization Guide: https://dspy.ai/learn/optimization/optimizers/

Files

SKILL.md and 1 other file in skills/dspy-bootstrap-fewshot of OmidZamani/dspy-skills.

SKILL.md
example.py

Open the folder on GitHubat commit f5db3b7

Compare with similar skills

Dspy Bootstrap Fewshot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dspy Bootstrap Fewshot compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dspy Bootstrap Fewshot this skillOmidZamani/dspy-skills	123	—	~1.3k	Automated safety check: Pass	MIT	3 mo ago
Agent Prompt Quality Barmastra-ai/mastra	29k	—	~2k	Automated safety check: Pass	Custom licence	today
Prompt Engineer Toolkitborghei/Claude-Skills	891	—	~1.6k	Automated safety check: Pass	MIT	3 days ago
Prompt LabMathews-Tom/armory	329	—	~2.1k	Automated safety check: Pass	MIT	5 days ago
Metacognitive Prompt LibraryGarethManning/education-agent-skills	840	—	~4.3k	Automated safety check: Pass	Custom licence	1 mo ago
Hospital Margin Forensicshh-health-AI/healthcare-equity	101	—	~837	Automated safety check: Pass	MIT	2 days ago

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Questions about Dspy Bootstrap Fewshot

What does Dspy Bootstrap Fewshot do?

A skill your agent uses for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization. Dspy Bootstrap Fewshot is an agent skill from OmidZamani/dspy-skills. Use for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.

When should I use Dspy Bootstrap Fewshot?

Dspy Bootstrap Fewshot fits situations like: bootstrapFewShot; bootstrapped demonstrations; teacher-model demos; low-data DSPy prompt optimization.

How do I install Dspy Bootstrap Fewshot in Claude Code?

Run `npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a claude-code`. Or copy the skill folder (skills/dspy-bootstrap-fewshot in OmidZamani/dspy-skills) into .claude/skills/dspy-bootstrap-fewshot in your project. Claude Code loads it when a task matches its description.

How do I install Dspy Bootstrap Fewshot in Codex?

Run `npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a codex`. Or copy the skill folder (skills/dspy-bootstrap-fewshot in OmidZamani/dspy-skills) into .agents/skills/dspy-bootstrap-fewshot in your project. Codex loads it when a task matches its description.

Can I use Dspy Bootstrap Fewshot in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OmidZamani/dspy-skills --skill dspy-bootstrap-fewshot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dspy-bootstrap-fewshot, .gemini/skills/dspy-bootstrap-fewshot, .github/skills/dspy-bootstrap-fewshot and .opencode/skills/dspy-bootstrap-fewshot in your project.

What does Dspy Bootstrap Fewshot need to run?

Going by SKILL.md and its folder, Dspy Bootstrap Fewshot needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep.

Does Dspy Bootstrap Fewshot access the network?

SKILL.md names 2 domains. As links in the text: dspy.ai and github.com. This is read from the text; nothing was executed.

Is Dspy Bootstrap Fewshot safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dspy Bootstrap Fewshot use?

Dspy Bootstrap Fewshot is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dspy Bootstrap Fewshot use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dspy Bootstrap Fewshot?

Skills that share tags, products or a category with Dspy Bootstrap Fewshot: Agent Prompt Quality Bar (mastra-ai/mastra, 29k stars), Prompt Engineer Toolkit (borghei/Claude-Skills, 891 stars), Prompt Lab (Mathews-Tom/armory, 329 stars) and Metacognitive Prompt Library (GarethManning/education-agent-skills, 840 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dspy Bootstrap Fewshot?

OmidZamani (a GitHub user) maintains it in OmidZamani/dspy-skills, which has 123 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on June 23, 2026.

Source: OmidZamani/dspy-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dspy Bootstrap Fewshot

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

DSPy Bootstrap Few-Shot Optimizer

Goal

When to Use

Related Skills

Inputs

Outputs

Workflow

Phase 1: Setup

Phase 2: Define Program and Metric

Phase 3: Compile

Phase 4: Use and Save

Production Example

Best Practices

Limitations

Official Documentation

Files

Compare with similar skills

Similar skills

More from OmidZamani/dspy-skills

Related

Questions about Dspy Bootstrap Fewshot