Paul McDowall
Community@pmcdowall · Melbourne
Agent Skills by Paul McDowall
Showing 75 vetted skills indexed across 1 GitHub repositories.
yuanbao
Query Yuanbao group members, retrieve group details, and send direct messages.
dogfood
Detect bugs and usability issues in web applications through exploratory QA testing.
apple-reminders
Create and organize Apple Reminders with due dates via remindctl.
macos-computer-use
Control macOS desktop interfaces without stealing user input focus.
imessage
Send and receive iMessages and SMS through the macOS Messages app using imsg CLI.
findmy
Automate macOS Find My app to track Apple devices and AirTags.
apple-notes
Manage Apple Notes via the memo CLI for creation, search, editing, and organization.
blogwatcher
Monitor RSS/Atom feeds and collect newly published articles.
polymarket
Retrieve Polymarket market data and convert prices into readable probabilities.
llm-wiki
Build persistent interconnected markdown knowledge bases with schemas, indexes, and provenance tracking.
arxiv
Search arXiv papers by keywords, authors, categories, or paper IDs.
minecraft-modpack-server
Configure and optimize Forge and NeoForge modded Minecraft servers.
pokemon-player
Control Pokemon games through a headless emulator with RAM inspection and screenshots.
xurl
Manage X/Twitter interactions via authenticated xurl CLI commands and X API v2.
ms365
Manage Microsoft 365 email, calendar, Teams, and SharePoint via Graph API.
wiplist
Retrieve and manage WIPlist business records through its REST API.
notion
Manage Notion workspace pages and databases through authenticated API operations.
shared-agent-context
Synchronize shared agent context files via SSH and git commits.
salesforce
Manage Salesforce Sales Cloud data queries, configuration review, and development workflows.
trello
Manage Trello boards and cards through the Trello REST API.
ofs-platforms
Connect OFS business platforms for unified workflow management across WIPlist, Trello, and Microsoft 365.
peft-fine-tuning
Configure LoRA and QLoRA adapters for parameter-efficient LLM fine-tuning.
guidance
Enforce structured output formats and validation constraints on language model generation.
grpo-rl-training
Implement GRPO reinforcement learning fine-tuning workflows with TRL and custom reward functions.