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jleechanorg

Official

@jleechanorg

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71Public Repos
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166Published Skills

A comprehensive registry of modular terminal-based skills for distributed machine learning, enterprise content generation, and cross-platform system orchestration.

Skills Distribution
DomainDeveloper To...Machine Learning E.. (40%)System Orchestrati.. (30%)Content & Multimed.. (20%)Enterprise Data Ma.. (10%)

Agent Skills by jleechanorg

Showing 166 vetted skills indexed across 3 GitHub repositories.

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yuanbao

Manage group interactions and member queries via platform API calls.

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google_meet

Automate Google Meet call joining and live caption capture.

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parallel-cli

Execute Parallel CLI search, extract, and research workflows with JSON output.

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searxng-search

Aggregate search results from 70+ engines via SearXNG JSON queries.

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Intermediate
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gitnexus-explorer

Index a codebase into a knowledge graph with an interactive web UI.

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qmd

Index and search local knowledge bases with hybrid retrieval.

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drug-discovery

Search ChEMBL targets, retrieve bioactivity data, and compute drug-likeness metrics.

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duckduckgo-search

Perform web searches via DuckDuckGo CLI and Python API without an API key.

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scrapling

Orchestrate HTTP, dynamic JS, and stealth fetching for web scraping.

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bioinformatics

Index and fetch domain-specific bioinformatics skills and reference material.

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Intermediate
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domain-intel

Aggregate passive DNS, WHOIS, SSL, and certificate signals into structured JSON.

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Intermediate
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docker-management

Automate Docker container, image, volume, network, and Compose lifecycle management.

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Intermediate
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inference-sh-cli

Orchestrate 150+ AI apps via a unified CLI with JSON-formatted results.

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watchers

Poll RSS feeds, JSON endpoints, and GitHub activity for new items using watermark-based dedup.

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sherlock

Identify social media accounts linked to a username across hundreds of platforms.

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oss-forensics

Analyze open-source supply-chain risk in GitHub repositories with multi-source evidence collection.

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1password

Manage secrets securely using the 1Password CLI with op run and inject.

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api-testing

Diagnose REST and GraphQL API failures across connectivity, TLS, authentication, and parsing layers.

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fitness-nutrition

Plan workouts and nutrition using wger/USDA APIs and offline Python calculators.

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neuroskill-bci

Integrate NeuroSkill real-time brain and body metrics into Hermes responses.

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nemo-curator

Automate GPU-accelerated filtering, deduplication, PII redaction, and NSFW detection on multimodal datasets.

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huggingface-accelerate

Distribute PyTorch training across CPUs, GPUs, and nodes with a unified API.

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chroma

Store and retrieve embeddings with metadata filtering in a local vector database.

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simpo-training

Align language models with user preferences using reference-free optimization.

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Advanced

Frequently Asked Questions About jleechanorg

FAQPage Schema
What specific technical tasks can these skills perform?

These skills enable distributed model training, vector database management, structured data extraction from unstructured text, and cross-platform system control. They facilitate complex operations like GPU-accelerated inference, automated document parsing, and terminal-based management of cloud infrastructure and enterprise SaaS platforms.

Who is the target persona for this skill registry?

The registry is designed for machine learning engineers, systems architects, and technical power users who prefer terminal-centric interfaces. It serves developers building custom agentic systems, researchers managing large-scale model training, and technical operators requiring granular control over local and cloud-based compute resources.

What are the primary dependencies and runtime requirements?

Most skills require a Unix-like environment with standard shell access and a modern runtime for executing modular components. Specific tasks involving model training or inference require NVIDIA GPU hardware, CUDA drivers, and PyTorch-compatible environments, while data-heavy tasks rely on standard curl-based connectivity to REST and GraphQL endpoints.