Daniel Rosehill Blog

Exploring technology, AI, business insights, and personal reflections from a curious mind

Claude Code plugins for non-coding work: homelab, data, media and admin

Claude Code plugins for non-coding work: homelab, data, media and admin

A tour of my public Claude Code plugins for non-coding work: Proxmox and Synology admin, data analysis and cleaning, image and audio production, budgeting, careers, and idea evaluation, with install steps.

claude-code agent-skills plugins +3
Gerber Prime 6000 in Home Assistant: local control, no cloud

Gerber Prime 6000 in Home Assistant: local control, no cloud

How to get a Gerber Prime 6000 (PSC05) relay and shutter controller into Home Assistant locally: setup Wi-Fi, its HTTP API, moving it onto your LAN, and an MQTT bridge with auto-discovery. With code.

Home Assistant smart home home automation +4
What my cheap AliExpress camera sends to the cloud (and what a Reolink sends instead)

What my cheap AliExpress camera sends to the cloud (and what a Reolink sends instead)

Packet captures of a Xiongmai-based AliExpress camera and a Reolink E1 Pro: hard-coded DNS, four clouds, a plaintext cloud ID, and live-view audio relayed unencrypted. Schematics, scores and how I locked it down.

security privacy networking +5
My curated AI indexes on GitHub: what each list covers

My curated AI indexes on GitHub: what each list covers

Fifteen curated AI lists and awesome-lists I keep on GitHub: agents and harnesses, coding tools, evals, LLM councils, simulations, voice and Whisper. What each covers, how big it is, when it was last updated and which are snapshots.

open-source ai-agents evals +2
Can image models spell the labels? A first look at my Tech Graphics Benchmark

Can image models spell the labels? A first look at my Tech Graphics Benchmark

Limited evaluation: 95 images from five cheap image models, 12 annotated so far. In this run, 10 of 11 had every label spelled exactly; the problems were composition, stretching and style. Not a verdict on any model.

evals benchmarks image-generation +2

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Datasets for fine-tuning speech recognition on your own voice

Datasets for fine-tuning speech recognition on your own voice

A guide to my public Hugging Face datasets of read-aloud sentences for fine-tuning speech recognition: tech, Linux, smart home, AI agents, homophones, Hebrew code-switching and voice notes. What each holds and which to use.

speech-recognition datasets hugging-face +2
Transcribe a WhatsApp chat export, voice messages included

Transcribe a WhatsApp chat export, voice messages included

How to read and transcribe a WhatsApp chat export: WhatsApp Export Unpacker parses the ZIP, transcribes voice messages with Whisper, and builds a text file, PDF and WhatsApp-style HTML viewer, with optional anonymisation of participants.

whatsapp transcription whisper +3
My AI prompt libraries, and which one to use

My AI prompt libraries, and which one to use

A guide to my open-source system prompt library and its siblings: prompts for NotebookLM, Open WebUI, Roo Code and ChatGPT, tools for writing prompts, and which of the twelve repositories and Hugging Face datasets to use for what.

system-prompts prompt-engineering open-source +3
Obsidian AI plugins, sorted: a categorised list of 86 LLM plugins

Obsidian AI plugins, sorted: a categorised list of 86 LLM plugins

A categorised list of 86 Obsidian plugins that bring AI and LLMs into a vault, from local Ollama setups to chat-with-notes RAG and voice input, sorted by GitHub stars. Auto-organised from GitHub metadata, not hand-reviewed.

obsidian llm open-source +2
Contextual Sentence Creator: a 3B model that writes ASR training sentences

Contextual Sentence Creator: a 3B model that writes ASR training sentences

A Granite 4.2 3B fine-tune that writes natural sentences using a given term, for recording speech recognition training data. 95.7% of sentences pass the acceptance check; GGUF build included.

ai-models hugging-face fine-tuning +3