Agent skill

Dspy Haystack Integration

A skill your agent uses for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.

MITAuto-check passedAI & LLM Engineering

Install Dspy Haystack Integration

skills CLI

$ npx skills add OmidZamani/dspy-skills --skill dspy-haystack-integration -a claude-code

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

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-haystack-integration --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-haystack-integration .claude/skills/dspy-haystack-integration && 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-haystack-integration" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-haystack-integration into .claude/skills/dspy-haystack-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-haystack-integration", 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-haystack-integration

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-haystack-integration -a codex

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

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-haystack-integration --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-haystack-integration .agents/skills/dspy-haystack-integration && 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-haystack-integration" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-haystack-integration into .agents/skills/dspy-haystack-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-haystack-integration", 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-haystack-integration -a cursor

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

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-haystack-integration --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-haystack-integration .cursor/skills/dspy-haystack-integration && 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-haystack-integration" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-haystack-integration into .cursor/skills/dspy-haystack-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-haystack-integration", 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-haystack-integration

--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-haystack-integration -a gemini-cli

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

GitHub CLI

$ gh skill install OmidZamani/dspy-skills dspy-haystack-integration --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-haystack-integration .gemini/skills/dspy-haystack-integration && 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-haystack-integration" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-haystack-integration into .gemini/skills/dspy-haystack-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-haystack-integration", 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-haystack-integration

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-haystack-integration -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-haystack-integration .github/skills/dspy-haystack-integration && 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-haystack-integration" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-haystack-integration into .github/skills/dspy-haystack-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-haystack-integration", 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-haystack-integration -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-haystack-integration --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-haystack-integration .opencode/skills/dspy-haystack-integration && 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-haystack-integration" agent skill from https://github.com/OmidZamani/dspy-skills/tree/master/skills/dspy-haystack-integration into .opencode/skills/dspy-haystack-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dspy-haystack-integration", 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-haystack-integration
GitHub stars: 124
Used in: 1 other repo
Token cost: ~1.4k tokens
SKILL.md length: 254 words
Files: 4 (incl. references)
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 integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.

Works in 5 steps: Build Initial Haystack Pipeline → Create DSPy RAG Module → Define Custom Metric → …
Integrating DSPy with Haystack
SKILL.md covers Goal, When to Use, Inputs and Outputs, plus 5 more sections
Runs Python scripts from its folder

What it does

Dspy Haystack Integration is an agent skill from OmidZamani/dspy-skills. Use for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `example.py`, `examples/haystack-dspy-optimizer.py` and `references/prompt-extraction.md`).

It sits in AI & LLM Engineering, covering Retrieval-augmented generation. 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

Integrating DSPy with Haystack
Optimizing Haystack prompts
Improving retrieval pipelines
Extracting DSPy prompts

Example prompts

“/dspy-haystack-integration”

Requirements

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

Workflow steps

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

Build Initial Haystack Pipeline
Create DSPy RAG Module
Define Custom Metric
Optimize with DSPy
Extract and Apply Optimized Prompt

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
- docs.haystack.deepset.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 Haystack Integration loads about 1.4k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 254 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~39
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.9k

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). 254 words, ~1,352 tokens.

Download SKILL.mdSave it as .claude/skills/dspy-haystack-integration/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: dspy-haystack-integration
description: Use for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.
allowed-tools: Read, Write, Glob, Grep
version: 1.0.0
dspy-compatibility: 3.2.1
tags: retrieval, optimizer

DSPy + Haystack Integration

Goal

Use DSPy's optimization capabilities to automatically improve prompts in Haystack pipelines.

When to Use

You have existing Haystack pipelines
Manual prompt tuning is tedious
Need data-driven prompt optimization
Want to combine Haystack components with DSPy optimization

Inputs

Input	Type	Description
`haystack_pipeline`	`Pipeline`	Existing Haystack pipeline
`trainset`	`list[dspy.Example]`	Training examples
`metric`	`callable`	Evaluation function

Outputs

Output	Type	Description
`optimized_prompt`	`str`	DSPy-optimized prompt
`optimized_pipeline`	`Pipeline`	Updated Haystack pipeline

Workflow

Phase 1: Build Initial Haystack Pipeline

python

from haystack import Pipeline
from haystack.components.generators import OpenAIGenerator
from haystack.components.builders import PromptBuilder
from haystack.components.retrievers.in_memory import InMemoryBM25Retriever
from haystack.document_stores.in_memory import InMemoryDocumentStore

# Setup document store
doc_store = InMemoryDocumentStore()
doc_store.write_documents(documents)

# Initial generic prompt
initial_prompt = """
Context: {{context}}
Question: {{question}}
Answer:
"""

# Build pipeline
pipeline = Pipeline()
pipeline.add_component("retriever", InMemoryBM25Retriever(document_store=doc_store))
pipeline.add_component("prompt_builder", PromptBuilder(template=initial_prompt))
pipeline.add_component("generator", OpenAIGenerator(model="gpt-4o-mini"))

pipeline.connect("retriever", "prompt_builder.context")
pipeline.connect("prompt_builder", "generator")

Phase 2: Create DSPy RAG Module

python

import dspy

class HaystackRAG(dspy.Module):
    """DSPy module wrapping Haystack retriever."""
    
    def __init__(self, retriever, k=3):
        super().__init__()
        self.retriever = retriever
        self.k = k
        self.generate = dspy.ChainOfThought("context, question -> answer")
    
    def forward(self, question):
        # Use Haystack retriever
        results = self.retriever.run(query=question, top_k=self.k)
        context = [doc.content for doc in results['documents']]
        
        # Use DSPy for generation
        pred = self.generate(context=context, question=question)
        return dspy.Prediction(context=context, answer=pred.answer)

Phase 3: Define Custom Metric

python

from haystack.components.evaluators import SASEvaluator

# Haystack semantic evaluator
sas_evaluator = SASEvaluator(model="sentence-transformers/all-MiniLM-L6-v2")

def mixed_metric(example, pred, trace=None):
    """Combine semantic accuracy with conciseness."""
    
    # Semantic similarity (Haystack SAS)
    sas_result = sas_evaluator.run(
        ground_truth_answers=[example.answer],
        predicted_answers=[pred.answer]
    )
    semantic_score = sas_result['score']
    
    # Conciseness penalty
    word_count = len(pred.answer.split())
    conciseness = 1.0 if word_count <= 20 else max(0, 1 - (word_count - 20) / 50)
    
    return 0.7 * semantic_score + 0.3 * conciseness

Phase 4: Optimize with DSPy

python

from dspy.teleprompt import BootstrapFewShot

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

# Create DSPy module with Haystack retriever
rag_module = HaystackRAG(retriever=pipeline.get_component("retriever"))

# Optimize
optimizer = BootstrapFewShot(
    metric=mixed_metric,
    max_bootstrapped_demos=4,
    max_labeled_demos=4
)

compiled = optimizer.compile(rag_module, trainset=trainset)

Phase 5: Extract and Apply Optimized Prompt

After optimization, extract the optimized prompt and apply it to your Haystack pipeline.

See Prompt Extraction Guide for detailed steps on:

Extracting prompts from compiled DSPy modules
Mapping DSPy demos to Haystack templates
Building optimized Haystack pipelines

Production Example

For a complete production-ready implementation, see HaystackDSPyOptimizer.

This class provides:

Wrapper for Haystack retrievers in DSPy modules
Automatic optimization with BootstrapFewShot
Prompt extraction and Haystack pipeline rebuilding
Complete usage example with document store setup

Best Practices

Match retrievers - Use same retriever in DSPy module as Haystack pipeline
Custom metrics - Combine Haystack evaluators with DSPy optimization
Prompt extraction - Carefully map DSPy demos to Haystack template format
Test both - Validate DSPy module AND final Haystack pipeline

Limitations

Prompt template conversion can be tricky
Some Haystack features don't map directly to DSPy
Requires maintaining two codebases initially
Complex pipelines may need custom integration

Official Documentation

DSPy Documentation: https://dspy.ai/
DSPy GitHub: https://github.com/stanfordnlp/dspy
Haystack Documentation: https://docs.haystack.deepset.ai/

Files

SKILL.md and 3 other files (references) in skills/dspy-haystack-integration of OmidZamani/dspy-skills.

SKILL.md
example.py
examples/haystack-dspy-optimizer.py
references/prompt-extraction.md

Open the folder on GitHubat commit f5db3b7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in OmidZamani/dspy-skills, which our catalogue first saw on October 7, 2026.

majiayu000/claude-skill-registryskills/ai-llm/dspy-haystack-integration

Compare with similar skills

Dspy Haystack Integration 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 Haystack Integration compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dspy Haystack Integration this skillOmidZamani/dspy-skills	124	1 repos	~1.4k	Automated safety check: Pass	MIT	3 mo ago
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~2.3k	Automated safety check: Pass	MIT	3 mo ago
LLM Application DevMoizIbnYousaf/ai-agent-skills	1.1k	2 repos	~1.3k	Automated safety check: Pass	MIT	17 days ago
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit	260	4 repos	~1.4k	Automated safety check: Pass	Custom licence	7 mo ago
MCP Local RAGshinpr/mcp-local-rag	407	—	~4.4k	Automated safety check: Pass	MIT	yesterday
Ms Agent Framework RAGshuyu-labs/WebCode	278	—	~1.1k	Automated safety check: Pass	Custom licence	3 mo ago

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Questions about Dspy Haystack Integration

What does Dspy Haystack Integration do?

A skill your agent uses for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts. Dspy Haystack Integration is an agent skill from OmidZamani/dspy-skills. Use for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.

When should I use Dspy Haystack Integration?

Dspy Haystack Integration fits situations like: integrating DSPy with Haystack; optimizing Haystack prompts; improving retrieval pipelines; extracting DSPy prompts.

How do I install Dspy Haystack Integration in Claude Code?

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

How do I install Dspy Haystack Integration in Codex?

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

Can I use Dspy Haystack Integration 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-haystack-integration -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-haystack-integration, .gemini/skills/dspy-haystack-integration, .github/skills/dspy-haystack-integration and .opencode/skills/dspy-haystack-integration in your project.

What does Dspy Haystack Integration need to run?

Going by SKILL.md and its folder, Dspy Haystack Integration 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 Haystack Integration access the network?

SKILL.md names 3 domains. As links in the text: dspy.ai, github.com and docs.haystack.deepset.ai. This is read from the text; nothing was executed.

Is Dspy Haystack Integration 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 Haystack Integration use?

Dspy Haystack Integration 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 Haystack Integration use?

About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 498 tokens, read only when the agent opens those files.

What are the alternatives to Dspy Haystack Integration?

Skills that share tags, products or a category with Dspy Haystack Integration: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and MCP Local RAG (shinpr/mcp-local-rag, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dspy Haystack Integration?

OmidZamani (a GitHub user) maintains it in OmidZamani/dspy-skills, which has 124 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 Haystack Integration

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 + Haystack Integration

Goal

When to Use

Inputs

Outputs

Workflow

Phase 1: Build Initial Haystack Pipeline

Phase 2: Create DSPy RAG Module

Phase 3: Define Custom Metric

Phase 4: Optimize with DSPy

Phase 5: Extract and Apply Optimized Prompt

Production Example

Best Practices

Limitations

Official Documentation

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from OmidZamani/dspy-skills

Related

Questions about Dspy Haystack Integration