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Agentic Intelligence Lab

Official

@agentic-in

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2Public Repos
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90Published Skills

We advance the science of intelligence across models, systems, and environments.

Skills Distribution
DomainAI Models & ...Model Fine-Tuning .. (40%)Repository & Codeb.. (30%)Digital Environmen.. (30%)

Agent Skills by Agentic Intelligence Lab

Showing 90 vetted skills indexed across 1 GitHub repositories.

agentic-inagentic-in
582

Evaluation

Frames model and prompt evaluation as reproducible experiments with baselines and metrics.

Official
Intermediate
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577

Apple Reminders

Create macOS Reminders entries via AppleScript in the default account and list.

Official
Basic
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577

iMessage

Read Messages.app conversations and send messages via CLI or AppleScript with confirmation.

Official
Intermediate
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577

Find My

Open Find My on macOS and inspect devices or people after explicit confirmation.

Official
Basic
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577

Apple Notes

Automate Apple Notes note creation and updates on macOS via memo or AppleScript.

Official
Intermediate
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577

Blogwatcher

Monitor blog and documentation feeds to generate concise delta summaries.

Official
Intermediate
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577

Polymarket

Analyze Polymarket prices and resolution conditions into timestamped summaries.

Official
Intermediate
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577

LLM Wiki

Generate cross-linked wiki pages with structured sections and source links.

Official
Intermediate
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577

arXiv

Search arXiv by topic, author, or identifier and extract metadata with links.

Official
Intermediate
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577

Research Paper Writing

Draft publication-style outlines and evidence-backed prose for research papers.

Official
Advanced
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577

Minecraft Modpack Server

Automate modded Minecraft server setup from CurseForge/Modrinth packs.

Official
Advanced
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577

Pokemon Player

Automate Gen 1 Pokemon gameplay via headless emulation and RAM state parsing.

Official
Advanced
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577

Xitter

Reads timelines, searches tweets, and posts with explicit confirmation via the X/Twitter API.

Official
Intermediate
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577

Docker Management

Automate Docker container, image, and network lifecycle management with CLI commands.

Official
Intermediate
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577

Webhook Subscriptions

Set up inbound webhook receivers with signature verification and retry policies.

Official
Intermediate
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577

CLI

Run 150+ AI apps via the inference.sh CLI with JSON inputs.

Official
Intermediate
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577

Find Nearby

Locate nearby places by distance, hours, and category constraints.

Official
Intermediate
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577

Jupyter Live Kernel

Run interactive Jupyter notebook sessions with live kernel management.

Official
Intermediate
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577

Sherlock

Search 400+ social networks for accounts matching a given username via Sherlock CLI.

Official
Intermediate
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577

OSS Forensics

Collect multi-source evidence and generate audit-ready forensic reports for open-source supply-chain incidents.

Official
Advanced
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577

1Password

Manage secrets with the 1Password CLI for automated workflows.

Official
Intermediate
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577

Test Driven Development

Drive behavior changes through failing tests, minimal implementation, and refactoring.

Official
Intermediate
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577

Systematic Debugging

Diagnose software failures by reproducing, isolating, and validating root-cause hypotheses.

Official
Intermediate
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577

Plan

Break ambiguous tasks into explicit, verifiable steps with validation criteria.

Official
Intermediate

Frequently Asked Questions About Agentic Intelligence Lab

FAQPage Schema
What specific technical tasks can be performed using these capabilities?

Users can execute model fine-tuning via PEFT/LoRA, manage Docker containers, perform OCR on documents, generate architecture diagrams, and orchestrate repository changes through validated pull requests.

Which personas benefit most from this registry?

Machine learning engineers, software developers, and systems architects focused on terminal-based environment control, model optimization, and systematic codebase maintenance will find these capabilities highly relevant.

What are the primary prerequisites for running these skills?

Most skills require a terminal environment with access to the inference.sh interface, appropriate authentication for external services like GitHub or Hugging Face, and local GPU resources for model-related tasks.