Ajay Rajan A
Community@AjayRajan05 · Chennai
AI Engineer | ML • Voice AI • Intelligent Systems | Building real-world AI solutions | Open Source
Agent Skills by Ajay Rajan A
Showing 76 vetted skills indexed across 1 GitHub repositories.
developer
Write, debug, and refactor code in sandboxed workspaces.
analyst
Analyze datasets and documents to produce structured reports with trends and recommendations.
researcher
Research web sources and synthesize cited findings into structured reports.
summarizer
Summarize documents and extract key points into concise structured briefs.
yuanbao
Send @mentions, direct messages, and query member info in Yuanbao groups.
computer-use
Automate desktop GUI interactions via accessibility-tree element indexing across macOS, Windows, and Linux.
dogfood
Tests web applications via 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 using AppleScript and screenshots on macOS.
apple-notes
Create, search, edit, and export Apple Notes via the memo CLI on macOS.
blogwatcher
Monitor blogs and RSS/Atom feeds for new articles using the blogwatcher-cli 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.
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.
voiceos-skill-authoring
Guides authoring of VoiceOS SKILL.md files with frontmatter, structure, and validation rules.
plan
Writes actionable markdown implementation plans with bite-sized tasks to .voiceos/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.
Frequently Asked Questions About Ajay Rajan A
FAQPage SchemaWhat tasks can I automate using AjayRajan05's VoiceOS skills?▼
You can write and debug code in sandboxed workspaces, delegate features to Claude Code, Codex, or OpenCode, manage GitHub repos and PRs, serve LLMs via vLLM, generate media with ComfyUI and AudioCraft, and control macOS apps like Reminders, iMessage, Notes, and FindMy.
Who are these skills designed for?▼
AI engineers, ML researchers, and developers building on the VoiceOS voice-first agent platform. Personas map to dedicated skills: developer, analyst, researcher, and summarizer roles, plus ML practitioners running experiments with Weights & Biases, HuggingFace Hub, and Jupyter live kernels.
How do I install and run these skills?▼
Skills are SKILL.md packages loaded by VoiceOS on Linux, macOS, or Windows. Many require prerequisite CLI commands (e.g., remindctl, himalaya, xurl, pygount) or environment variables like NOTION_API_KEY, AIRTABLE_API_KEY, or Microsoft Graph credentials for the Teams meeting pipeline.
Are these skills open source and free to use?▼
Nearly all skills carry the MIT license from VoiceOS Community, Orchestra Research, or individual authors. One exception is the powerpoint skill, which is proprietary with terms in its LICENSE.txt file. Model-serving skills may additionally require GPU hardware or API keys.
What prerequisites and dependencies do the ML skills need?▼
ML skills declare Python dependencies in frontmatter: vllm, torch, and transformers for serving; segment-anything for zero-shot segmentation; audiocraft for music generation; lm-eval for benchmarking; and llama-cpp-python for local GGUF inference on CPU, Apple Silicon, or GPUs.