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Yann LeCun's AI Critique and Debates

yann-lecun-debate

sickn33/agentic-awesome-skills

A specialized module containing Yann LeCun's comprehensive arguments on the limitations of Large Language Models (LLMs). It critically examines the concept of 'emergent reasoning,' contrasts LLMs' statistical prediction with genuine world models, and addresses deep technical rivalries (e.g., LeCun vs. Hinton). Ideal for advanced discussions on AI causality, common sense, and AGI feasibility.

Yann LeCun Deep Learning Skill

yann-lecun-tecnico

sickn33/agentic-awesome-skills

This technical skill covers Yann LeCun's methodologies including CNNs, LeNet, backpropagation, JEPA, AMI, Self-Supervised Learning, and Energy-Based Models. It provides complete PyTorch code implementation. Use this for specialized AI tasks requiring deep learning expertise.

AI Governance Engine: Safe and Verified Development

sickn33/agentic-awesome-skills

This skill enforces rigorous governance and discipline when AI modifies systems, debugs code, or makes root-cause claims. It mandates safety gates (e.g., backup, blast radius check), demands evidence for every diagnosis, and prevents common AI shortcuts like guessing or deflecting. Use this for critical code modifications, complex debugging, and high-stakes deployments to ensure thoroughness and safety.

Ultra Dense Token Optimizer

zipai-optimizer

sickn33/agentic-awesome-skills

This skill optimizes LLM context usage through prompt caching, log pruning, and AST-based file inspection. It enforces ultra-dense output, minimizes filler text, and manages token budgets efficiently. Ideal for technical tasks requiring precise code edits, structured data handling, and reduced context window consumption during long sessions.

Zod Schema Validation and Type Inference

zod-validation-expert

sickn33/agentic-awesome-skills

Master the Zod library for defining robust, type-safe schemas in TypeScript. This expert covers advanced validation techniques, including primitives, objects, unions, and discriminated unions. It specializes in type inference (`z.infer`), data coercion, complex refinements, and seamless integration with modern frameworks like React Hook Form, Next.js, and tRPC, ensuring consistency across your application state and API inputs.

Zoom Meeting Automation

zoom-automation

sickn33/agentic-awesome-skills

Automates Zoom meeting scheduling, webinar handling, cloud recording retrieval, and participant tracking through the Rube MCP toolkit, ensuring you first fetch current schemas and maintain an active OAuth connection for paid accounts.

Four-Voice Decision Council

Convene a four-voice AI council — Architect, Skeptic, Pragmatist and Critic — to surface tradeoffs and structured dissent on ambiguous decisions before you choose a path or make a go/no-go call.

PubMed Literature Search Workflow

scientific-db-pubmed-database

Search PubMed biomedical literature via NCBI E-utilities: build MeSH and field-tag queries, filter by publication type and date, retrieve PMIDs, abstracts, and citations for systematic reviews and literature monitoring.

USPTO Patent Trademark Data

scientific-db-uspto-database

Workflow for searching USPTO patent and trademark records using PatentSearch API, TSDR, file wrapper, and assignment data. Build reproducible IP research logs and compare with secondary sources. Not legal advice.

Genomic Database Search Tool

scientific-pkg-gget

Use gget CLI or Python package for fast bioinformatics searches across genomic reference databases, including gene metadata, sequences, BLAST/BLAT, enrichment, and reproducible evidence logging.

Systematic Literature Review

scientific-thinking-literature-review

A systematic workflow for conducting literature reviews across academic, biomedical, technical, and scientific topics. Includes search planning, source screening, synthesis, citation verification, and evidence logging.

Scholar Evaluation

scientific-thinking-scholar-evaluation

A structured rubric-based skill for evaluating academic or scientific work, including research papers, proposals, literature reviews, and methodology sections. It assesses evidence quality, citation support, and provides actionable feedback for revisions.

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