jleechanorg
Official@jleechanorg
A comprehensive registry of modular terminal-based skills for distributed machine learning, enterprise content generation, and cross-platform system orchestration.
Agent Skills by jleechanorg
Showing 166 vetted skills indexed across 3 GitHub repositories.
yuanbao
Manage group interactions and member queries via platform API calls.
google_meet
Automate Google Meet call joining and live caption capture.
parallel-cli
Execute Parallel CLI search, extract, and research workflows with JSON output.
searxng-search
Aggregate search results from 70+ engines via SearXNG JSON queries.
gitnexus-explorer
Index a codebase into a knowledge graph with an interactive web UI.
qmd
Index and search local knowledge bases with hybrid retrieval.
drug-discovery
Search ChEMBL targets, retrieve bioactivity data, and compute drug-likeness metrics.
duckduckgo-search
Perform web searches via DuckDuckGo CLI and Python API without an API key.
scrapling
Orchestrate HTTP, dynamic JS, and stealth fetching for web scraping.
bioinformatics
Index and fetch domain-specific bioinformatics skills and reference material.
domain-intel
Aggregate passive DNS, WHOIS, SSL, and certificate signals into structured JSON.
docker-management
Automate Docker container, image, volume, network, and Compose lifecycle management.
inference-sh-cli
Orchestrate 150+ AI apps via a unified CLI with JSON-formatted results.
watchers
Poll RSS feeds, JSON endpoints, and GitHub activity for new items using watermark-based dedup.
sherlock
Identify social media accounts linked to a username across hundreds of platforms.
oss-forensics
Analyze open-source supply-chain risk in GitHub repositories with multi-source evidence collection.
1password
Manage secrets securely using the 1Password CLI with op run and inject.
api-testing
Diagnose REST and GraphQL API failures across connectivity, TLS, authentication, and parsing layers.
fitness-nutrition
Plan workouts and nutrition using wger/USDA APIs and offline Python calculators.
neuroskill-bci
Integrate NeuroSkill real-time brain and body metrics into Hermes responses.
nemo-curator
Automate GPU-accelerated filtering, deduplication, PII redaction, and NSFW detection on multimodal datasets.
huggingface-accelerate
Distribute PyTorch training across CPUs, GPUs, and nodes with a unified API.
chroma
Store and retrieve embeddings with metadata filtering in a local vector database.
simpo-training
Align language models with user preferences using reference-free optimization.
Frequently Asked Questions About jleechanorg
FAQPage SchemaWhat 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.