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Agent skill

Dspy Better Together

by OmidZamani in OmidZamani/dspy-skills

A skill your agent uses for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p - w - p.

MITAuto-check passedAI & LLM Engineering

Install Dspy Better Together

skills CLI
$ npx skills add OmidZamani/dspy-skills --skill dspy-better-together -a claude-code

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

GitHub CLI
$ gh skill install OmidZamani/dspy-skills dspy-better-together --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-better-together .claude/skills/dspy-better-together && 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/

Facts

Skill name
dspy-better-together
GitHub stars
123
Token cost
~756 tokens
SKILL.md length
173 words
Files
2
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p - w - p.

  • Prompt plus weight optimization
  • SKILL.md covers Goal, Prerequisites, Basic Pattern and Strategy Choices, plus 4 more sections
  • Runs Python scripts from its folder
  • Fine-tuning sequences

What it does

Dspy Better Together is an agent skill from OmidZamani/dspy-skills. Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p - w - p.

Its SKILL.md is about 760 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 Fine-tuning. 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

  • Prompt plus weight optimization
  • Fine-tuning sequences
  • Strategy chains like p - w - p

Example prompts

  • “/dspy-better-together”

Requirements

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

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

    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 Better Together loads about 756 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 173 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~756

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). 173 words, ~756 tokens.

Download SKILL.mdSave it as .claude/skills/dspy-better-together/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
dspy-better-together
description
Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.
allowed-tools
Read, Write, Glob, Grep
version
1.0.0
dspy-compatibility
3.2.1
tags
optimizer

DSPy BetterTogether

Goal

Sequence prompt and weight optimizers, evaluate intermediate programs, and return the best candidate.

Prerequisites

  • Use DSPy 3.2.1 or later in the stable 3.2.x series.
  • Assign an LM directly to every predictor with student.set_lm(lm).
  • Keep a validation set, or allow BetterTogether to hold out part of the trainset.
  • Confirm the LM provider supports fine-tuning before including BootstrapFinetune.

Basic Pattern

python
import dspy

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

student = dspy.ChainOfThought("question -> answer")
student.set_lm(lm)

def metric(example, pred, trace=None):
    return float(example.answer.lower() == pred.answer.lower())

optimizer = dspy.BetterTogether(
    metric=metric,
    p=dspy.GEPA(
        metric=lambda gold, pred, trace=None, pred_name=None, pred_trace=None:
            dspy.Prediction(score=metric(gold, pred), feedback="Check answer correctness."),
        reflection_lm=dspy.LM("openai/gpt-4o"),
        auto="light",
    ),
    w=dspy.BootstrapFinetune(metric=metric),
)

compiled = optimizer.compile(
    student,
    trainset=trainset,
    valset=valset,
    strategy="p -> w -> p",
)

Strategy Choices

StrategyUse it when
"p -> w"Start with a simple prompt-then-weight pass
"p -> w -> p"Re-optimize prompts after fine-tuning
"w -> p"Fine-tuning data is already strong
Custom chainsComparing prompt optimizers or conducting controlled experiments

Optimizer names come from constructor keyword arguments. For example, mipro=... and gepa=... make "mipro -> gepa" valid.

Per-Optimizer Compile Arguments

Pass optimizer-specific arguments through optimizer_compile_args:

python
compiled = optimizer.compile(
    student,
    trainset=trainset,
    valset=valset,
    strategy="p -> w",
    optimizer_compile_args={
        "p": {"max_metric_calls": 150},
    },
)

Do not pass student inside optimizer_compile_args; BetterTogether manages the current program.

Inspect Results

The returned program exposes:

  • candidate_programs: evaluated candidates with score and strategy
  • flag_compilation_error_occurred: whether a step failed before completion

Official Documentation

© OmidZamani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/dspy-better-together of OmidZamani/dspy-skills.

  • SKILL.md
  • example.py

Open the folder on GitHubat commit f5db3b7

Compare with similar skills

Dspy Better Together 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 Better Together compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dspy Better Together this skillOmidZamani/dspy-skills123—~756Automated safety check: PassMIT
Sentence-Transformers Training Routerhuggingface/skills11k1 repos~2.6kAutomated safety check: PassApache-2.0
Train RlOpenPipe/ART11k—~2.4kAutomated safety check: PassApache-2.0
Qwopus27b Rl TrainingR6410418/Jackrong-llm-finetuning-guide1.7k—~830Automated safety check: PassApache-2.0
Dataset Evaluationawslabs/agent-plugins9161 repos~1.3kAutomated safety check: PassApache-2.0
Train SftOpenPipe/ART11k—~2.9kAutomated safety check: PassApache-2.0

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    11k GitHub starsUsed in 1 repo~2.6k tokens
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  • Train Rl

    OpenPipe/ART

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Categories

Questions about Dspy Better Together

What does Dspy Better Together do?

A skill your agent uses for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p - w - p. Dspy Better Together is an agent skill from OmidZamani/dspy-skills. Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p - w - p.

When should I use Dspy Better Together?

Dspy Better Together fits situations like: prompt plus weight optimization; fine-tuning sequences; strategy chains like p - w - p.

How do I install Dspy Better Together in Claude Code?

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

How do I install Dspy Better Together in Codex?

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

Can I use Dspy Better Together 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-better-together -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-better-together, .gemini/skills/dspy-better-together, .github/skills/dspy-better-together and .opencode/skills/dspy-better-together in your project.

What does Dspy Better Together need to run?

Going by SKILL.md and its folder, Dspy Better Together 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 Better Together access the network?

SKILL.md names 1 domain. As links in the text: dspy.ai. This is read from the text; nothing was executed.

Is Dspy Better Together 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 Better Together use?

Dspy Better Together 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 Better Together use?

About 756 tokens (SKILL.md is roughly 3k 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 Better Together?

Skills that share tags, products or a category with Dspy Better Together: Sentence-Transformers Training Router (huggingface/skills, 11k stars), Train Rl (OpenPipe/ART, 11k stars), Qwopus27b Rl Training (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars) and Dataset Evaluation (awslabs/agent-plugins, 916 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dspy Better Together?

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.