factory-llm-workflows SKILL.md skillA

factory-llm-workflows from nonlinear-xyz/factory-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nonlinear-xyz/factory-kit/factory-llm-workflows@git:20260716.517fb94

Pins git:20260716.517fb94 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nonlinear-xyz/factory-kit
Path
skills/factory-llm-workflows/SKILL.md
Versions recorded
1
Latest version
git:20260716.517fb94, committed Jul 16, 2026
Size
12,471 bytes
Repository stars
9
License
MIT

LLM workflow conventions distilled from production agent/RAG work. Covers LangGraph TypedDict state schemas, node factory closures, conditional edge routing, structured output via JSON schema, prompt fallback patterns with optional PromptHub override, hybrid search with confidence gating + fallback supplement, SSE streaming with event dispatch, hexagonal ports/adapters when scale justifies. Read when building any LLM-driven workflow with state, tool calls, or streaming UX.

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

# Factory LLM workflows

Each section leads with **Principle** (one sentence, stack-agnostic), then **Why** (constraint → option → tradeoff), then **Recipe** (the LangGraph / FastAPI / SSE shape we use), and **Failure mode** when there's one to name. Sections that are pure style with no deeper truth are marked `Recipe only`.

## State shape — TypedDict, not Pydantic

**Principle.** LangGraph state is a TypedDict, not Pydantic. The state library's merge semantics dictate the shape.

**Why.** LangGraph merges state between nodes by shallow dict update — the framework expects a dict-like object whose fields are independently updatable. Pydantic validates on construction; every partial update fails validation or requires `.model_copy(update=...)`, which loses the simplicity. TypedDict matches the framework's semantics: it's a dict, fields are optional via `total=False`, the type annotations are documentation that the type checker enforces at call sites.

**Recipe.**

```py
from typing import TypedDict
from typing_extensions import NotRequired

class ChatState(TypedDict, total=False):
    """Documented fields. total=False makes everything optional."""
    user_query: str
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nonlinear-xyz/factory-kit/factory-llm-workflows@sha256:5da9ae65489d660d

The line at the top of this page pins the label git:20260716.517fb94, 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_fnbzycorplimydou.svg)](https://markdownregistry.com/a/art_fnbzycorplimydou)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 16, 2026.

versioncommittedcommitsizeaudit
git:20260716.517fb94 latest2026-07-16 517fb94 12,471 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 (12471 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

nonlinear-xyz/factory-kit · 9 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_fnbzycorplimydou
GET https://markdownregistry.com/api/v1/resolve?ref=nonlinear-xyz/factory-kit/factory-llm-workflows
GET https://markdownregistry.com/api/v1/blob/5da9ae65489d660dd9571ecff70245923c6063ee61acc8db89a959a9d94ff5ab

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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