YDA
Community@perasyudha · Indonesia
Freelance Developer [email protected]
Agent Skills by YDA
Showing 71 vetted skills indexed across 1 GitHub repositories.
yuanbao
Mention users, query group info, and send direct messages in Yuanbao groups.
computer-use
Automates desktop GUI interactions via accessibility-tree element indexing across macOS, Windows, and Linux.
dogfood
Tests web applications through browser automation and generates structured bug reports with screenshots.
apple-reminders
Manage Apple Reminders from the terminal using the remindctl command-line tool.
imessage
Send and read iMessage and SMS messages via the imsg CLI on macOS.
findmy
Track Apple devices and AirTags via FindMy.app UI automation on macOS.
apple-notes
Manage Apple Notes via the memo CLI to create, search, edit, and export notes on macOS.
blogwatcher
Monitor blogs and RSS/Atom feeds using the blogwatcher-cli command-line tool.
polymarket
Query Polymarket prediction markets for prices, orderbooks, and price history via public REST APIs.
llm-wiki
Build and maintain an interlinked markdown knowledge base from ingested sources.
arxiv
Search and retrieve academic papers from arXiv and Semantic Scholar APIs.
research-paper-writing
Guides end-to-end ML research paper production from experiment design through conference submission.
twitter-cli
Automates Twitter/X posting, engagement, and airdrop social task verification via CLI sessions.
xurl
Post, search, and manage X (Twitter) content via the official xurl CLI.
jupyter-live-kernel
Execute stateful Python code through a live Jupyter kernel with persistent variables.
test-driven-development
Enforces red-green-refactor TDD workflow requiring failing tests before production code.
systematic-debugging
Diagnose software bugs through a four-phase root cause investigation workflow.
plan
Writes actionable markdown implementation plans with bite-sized tasks to .nyxora/plans/ without executing code.
python-debugpy
Debug Python code using pdb breakpoints, post-mortem inspection, and debugpy remote attach.
spike
Build throwaway prototypes to validate technical feasibility before committing to a real build.
requesting-code-review
Verifies code changes before commit using static security scans, baseline tests, and independent reviewer subagents.
simplify-code
Reviews recent code changes with three parallel subagents and applies risk-tiered cleanup fixes.
node-inspect-debugger
Debug Node.js processes via the V8 inspector and Chrome DevTools Protocol.
nyxora-agent-skill-authoring
Author and validate in-repo SKILL.md files with frontmatter rules and structure conventions.
Frequently Asked Questions About YDA
FAQPage SchemaWhat tasks can I accomplish with perasyudha's Nyxora skills?▼
You can manage the full GitHub PR lifecycle, debug Python and Node.js with debugpy and Chrome DevTools Protocol, run TDD cycles, serve and evaluate LLMs, generate images/video/music with ComfyUI and AudioCraft, control macOS apps like Reminders and iMessage, and query Polymarket or arXiv.
Who is the target audience for these skills?▼
Software engineers, ML researchers, and creative coders using the Nyxora agent runtime. Personas include developers delegating work to coding agents, researchers writing NeurIPS/ICML papers with LaTeX pipelines, and designers producing Excalidraw diagrams, p5.js sketches, and TouchDesigner visuals.
How do I install and run these skills?▼
Skills are SKILL.md packages loaded by the Nyxora agent on Linux, macOS, or Windows. Many require prerequisite CLIs such as gh, remindctl, imsg, xurl, or blogwatcher-cli, and some need environment variables like AIRTABLE_API_KEY, TENOR_API_KEY, or Microsoft Graph credentials.
Are these skills open source and free to use?▼
Nearly all skills are MIT licensed, including the GitHub suite, debugging tools, ML serving skills, and creative generators. The sole exception is the PowerPoint skill, which carries a proprietary license detailed in its bundled LICENSE.txt file.
What dependencies do the ML and research skills require?▼
ML skills need PyTorch-based stacks: vllm, transformers, torch, segment-anything, audiocraft, llama-cpp-python, wandb, and lm-eval. The research-paper-writing skill additionally requires semanticscholar, arxiv, scipy, numpy, matplotlib, and SciencePlots for statistical analysis and LaTeX publication output.