haystack SKILL.md skillA

haystack from magnus919/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add magnus919/agent-skills/haystack@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
magnus919/agent-skills
Path
haystack/SKILL.md
Versions recorded
3
Latest version
v1.1.0, committed Sep 2, 2026
First version recorded
Jul 9, 2026
Size
6,602 bytes
Repository stars
166
License
MIT

Build production search and NLP pipelines with Haystack. Pipeline DAG composition, document stores, retrievers, PromptBuilder (Jinja2), generators, evaluation, Hayhooks deployment. Use when building search pipelines or comparing NLP application frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Haystack Expert Skill

Haystack (by deepset) is a production-oriented framework for building search and NLP pipelines. Its core abstraction is the **Pipeline** — a directed acyclic graph of typed components with explicit connections. Unlike LangChain's LCEL (pipe operator) or LlamaIndex's query engines, Haystack pipelines are **declared upfront with add_component and connect**, giving validated, debuggable DAGs.

## Core Paradigm

```python
from haystack import Pipeline
from haystack.components.embedders import SentenceTransformersTextEmbedder
from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever
from haystack.components.builders import PromptBuilder
from haystack.components.generators import OpenAIGenerator
from haystack.document_stores.in_memory import InMemoryDocumentStore

# Build a pipeline
document_store = InMemoryDocumentStore()
pipeline = Pipeline()
pipeline.add_component("embedder", SentenceTransformersTextEmbedder())
pipeline.add_component("retriever", InMemoryEmbeddingRetriever(document_store=document_store))
pipeline.add_component("prompt_builder", PromptBuilder(template="Answer using: {{documents}}\n\nQuestion: {{question}}"))
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add magnus919/agent-skills/haystack@sha256:dd90bffa8d8582b6

The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_iqrk5emz5jgjbjk6.svg)](https://markdownregistry.com/a/art_iqrk5emz5jgjbjk6)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 9, 2026 and Sep 2, 2026, about one every 27 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-09-02 035e58d 6,602 BA view · diff
v1.1.02026-07-09 6c193ae 6,538 BA view · diff
v1.0.32026-07-09 fe5b275 6,327 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6602 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

magnus919/agent-skills · 166 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_iqrk5emz5jgjbjk6
GET https://markdownregistry.com/api/v1/resolve?ref=magnus919/agent-skills/haystack
GET https://markdownregistry.com/api/v1/blob/dd90bffa8d8582b62dda3b83490171dd78a4e46df3438a68f04472c9f7d690b1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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