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AEVONIX

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@aevonix

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107Published Skills

Offers a comprehensive suite for distributed model training, vector database management, and terminal-based enterprise resource orchestration.

Skills Distribution
DomainAI Models & ...Model Training & F.. (40%)Vector Database & .. (30%)Terminal-Based Ent.. (30%)

Agent Skills by AEVONIX

Showing 107 vetted skills indexed across 1 GitHub repositories.

AevonixAevonix

qmd

Search local markdown and text collections with hybrid retrieval.

Official
Advanced
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sherlock

Search 400+ social networks for profiles matching a given username.

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Intermediate
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oss-forensics

Coordinate multi-source OSS forensics investigations to detect supply-chain compromises in GitHub repositories.

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Advanced
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1password

Orchestrate 1Password CLI operations for sign-in, read, and inject workflows.

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Intermediate
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neuroskill-bci

Connect Colony to a local NeuroSkill server to read real-time brain and body metrics.

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Advanced
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fastmcp

Create and deploy MCP servers using FastMCP scaffolding and CLI validation.

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Advanced
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solana

Query Solana RPC data and enrich it with CoinGecko USD prices.

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Advanced
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base

Query Base blockchain data for wallet balances, token metadata, transactions, and USD values.

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Advanced
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blender-mcp

Automate Blender workflows from Colony via JSON over TCP.

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Intermediate
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openclaw-migration

Migrates OpenClaw footprint to Colony importing personas, memories, and workspace assets.

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Advanced
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agentmail

Automate agent-owned email inbox setup, sending, receiving, and threading.

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Intermediate
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blackbox

Delegate coding tasks across AI models via Blackbox CLI.

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Intermediate
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telephony

Provision and persist a Twilio number for outbound SMS, MMS, and calls.

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Advanced
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dogfood

Guide structured exploratory QA testing of web applications with evidence collection and reporting.

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Advanced
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apple-reminders

Manage Apple Reminders via remindctl CLI on macOS.

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Intermediate
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imessage

Send and read iMessages/SMS from the macOS terminal via imsg.

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Intermediate
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findmy

Automate Apple device and AirTag location capture via FindMy and AppleScript.

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apple-notes

Manage Apple Notes from the terminal using the memo CLI.

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Intermediate
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parallel-cli

Automate vendor-specific web search, extraction, and enrichment workflows with JSON output.

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Advanced
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blogwatcher

Monitor blogs and RSS/Atom feeds for new articles using the blogwatcher CLI.

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Intermediate
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polymarket

Fetch Polymarket market data from Gamma, CLOB, and Data APIs.

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Intermediate
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duckduckgo-search

Search text, news, images, and videos via DuckDuckGo without an API key.

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Intermediate
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ml-paper-writing

Generate conference-ready ML paper drafts from research repositories.

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Advanced
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arxiv

Fetch scholarly papers from the arXiv REST API by query, author, category, or ID.

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Intermediate

Frequently Asked Questions About AEVONIX

FAQPage Schema
What specific tasks can I perform with AEVONIX's model training capabilities?

You can execute end-to-end fine-tuning using LoRA/QLoRA, implement GRPO/DPO alignment, and perform distributed pretraining on multi-GPU clusters. The registry supports advanced optimization techniques like Flash Attention, GGUF quantization, and mechanistic interpretability to remove refusal directions from open-weight models.

Which technical personas benefit most from these registry skills?

Machine learning engineers, MLOps practitioners, and systems architects focused on high-performance model training and terminal-centric infrastructure management will find these skills most relevant. The registry is designed for developers requiring granular control over model weights, vector databases, and cross-platform enterprise service integration.

What are the prerequisites for running these model training and inference skills?

Most training skills require a CUDA-capable GPU environment, PyTorch, and specific libraries like TRL, Axolotl, or Unsloth. Inference tasks targeting Apple Silicon or non-NVIDIA hardware utilize llama.cpp and GGUF quantization, while enterprise integrations require valid OAuth2 credentials or API tokens for the respective services.