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Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.
Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.
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Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.
brand-loom is a small library of commodity marketing skills — hooks, captions, hashtags, content
repurposing, SEO outlines, FAQs, schema.org markup, CTAs — that run on any LLM (OpenAI, Anthropic, Gemini,
or a local model via Ollama). Bring your own key. No coding agent, no vendor lock-in.
Want it on-brand and multi-platform automatically — without writing prompts? That's the hosted engine at neoxra.com (auto voice extraction, multi-platform orchestration, Brand Kit).
brand-loomis the open core; Neoxra hosts the rest.
brand_context. Ship a basic default here; get automatic,
extracted brand voice on hosted Neoxra.pip install brand-loom
from brand_loom.providers import use_provider
from brand_loom.skills.hook import HookSkill
use_provider("fake") # runs with zero keys; swap for "openai"/"anthropic"/"gemini"/"ollama"
skill = HookSkill()
print(skill.run_topic("How we cut cloud costs 40%"))
Real provider (BYOK):
pip install "brand-loom[openai]"
export OPENAI_API_KEY=sk-...
export BRANDLOOM_PROVIDER=openai
Run it as an agent (no coding agent required):
brand-loom run hook --text "How we cut cloud costs 40%"
# brand-loom
**Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.**
[](LICENSE)
[](https://pypi.org/project/brand-loom/)
[](https://github.com/hogan-tech/brand-loom/actions/workflows/ci.yml)
`brand-loom` is a small library of **commodity marketing skills** — hooks, captions, hashtags, content
repurposing, SEO outlines, FAQs, schema.org markup, CTAs — that run on **any LLM** (OpenAI, Anthropic, Gemini,
or a local model via Ollama). Bring your own key. No coding agent, no vendor lock-in.
> Want it *on-brand* and *multi-platform* automatically — without writing prompts? That's the hosted engine at
> **[neoxra.com](https://neoxra.com)** (auto voice extraction, multi-platform orchestration, Brand Kit). `brand-loom`
> is the open core; Neoxra hosts the rest.
## Why brand-loom
- **Model-agnostic.** One interface, four providers, BYOK. Swap models with one env var.
- **No coding agent required.** Plain Python — not coupled to Claude Code / Cursor / OpenClaw.
- **Brand-aware seam.** Every skill accepts an optional `brand_context`. Ship a basic default here; get automatic,
extracted brand voice on hosted Neoxra.
## Quickstart (60 seconds, no API key)
```bash
pip install brand-loom
```
```python
from brand_loom.providers import use_provider
from brand_loom.skills.hook import HookSkill
use_provider("fake") # runs with zero keys; swap for "openai"/"anthropic"/"gemini"/"ollama"
skill = HookSkill()
print(skill.run_topic("How we cut cloud costs 40%"))
```
Real provider (BYOK):
```bash
pip install "brand-loom[openai]"
export OPENAI_API_KEY=sk-...
export BRANDLOOM_PROVIDER=openai
```
Run it as an agent (no coding agent required):
```bash
brand-loom run hook --text "How we cut cloud costs 40%"
Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
68/100
Promising
Trust
59/100
Do not auto-install
Audit
74/100
Risky
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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