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PALabs

Official

@PALabs-v1

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3Public Repos
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49Published Skills

Experimental AI engineering lab building local-first, personalized intelligent systems.

Skills Distribution
DomainAI Models & ...AI Models & Machin.. (35%)Data Systems & Dat.. (30%)Developer Tooling .. (20%)UI/UX & Creative M.. (10%)

Agent Skills by PALabs

Showing 49 vetted skills indexed across 1 GitHub repositories.

PALabs-v1PALabs-v1
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postgresql

Provides PostgreSQL documentation for SQL queries, database design, administration, and performance tuning.

Official
Intermediate
PALabs-v1PALabs-v1
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python-testing-patterns

Implement pytest test suites with fixtures, mocking, parameterization, and coverage reporting.

Official
Intermediate
PALabs-v1PALabs-v1
3

elevenlabs-agents

Build and deploy conversational AI voice agents on the ElevenLabs platform.

Official
Advanced
PALabs-v1PALabs-v1
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cognitive-memory

Implements multi-store agent memory with decay scoring, reflection cycles, and audit logging.

Official
Advanced
PALabs-v1PALabs-v1
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prompt-engineering-patterns

Implements few-shot, chain-of-thought, and structured-output prompt patterns for LLM applications.

Official
Advanced
PALabs-v1PALabs-v1
3

find-skills

Searches and installs agent skills from the open skills ecosystem using the npx skills CLI.

Official
Basic
PALabs-v1PALabs-v1
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agent-memory-systems

Designs agent memory architectures using vector stores, chunking strategies, and retrieval patterns.

Official
Advanced
PALabs-v1PALabs-v1
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python-design-patterns

Applies Python design principles like SRP, composition, and dependency injection to structure maintainable code.

Official
Intermediate
PALabs-v1PALabs-v1
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docker-expert

Diagnoses and optimizes Dockerfiles, container security, and Docker Compose orchestration configurations.

Official
Advanced
PALabs-v1PALabs-v1
3

neo4j-data-models

Designs Neo4j graph data models with node, relationship, and constraint patterns.

Official
Intermediate
PALabs-v1PALabs-v1
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code-reviewer

Reviews local git changes and remote GitHub pull requests for correctness and maintainability.

Official
Intermediate
PALabs-v1PALabs-v1
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async-python-patterns

Implement Python asyncio patterns for concurrent, non-blocking applications.

Official
Intermediate
PALabs-v1PALabs-v1
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crafting-effective-readmes

Write and improve README files using audience-matched templates and section guidance.

Official
Intermediate
PALabs-v1PALabs-v1
3

vercel-react-best-practices

Applies 57 performance optimization rules when writing or refactoring React and Next.js code.

Official
Intermediate
PALabs-v1PALabs-v1
3

tailwindcss

Implements utility-first Tailwind CSS styling for Vue HUD components with TDD workflows.

Official
Intermediate
PALabs-v1PALabs-v1
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framer-motion-animator

Creates React animations and micro-interactions using Framer Motion's declarative API.

Official
Intermediate
PALabs-v1PALabs-v1
3

python-design-modularity

Guides module boundary design, refactoring, and architecture review in Python codebases.

Official
Intermediate
PALabs-v1PALabs-v1
3

redis-connections

Configure Redis clients with connection pooling, pipelining, client-side caching, and timeouts.

Official
Intermediate
PALabs-v1PALabs-v1
3

doc-coauthoring

Guides collaborative document creation through context gathering, iterative drafting, and reader testing.

Official
Advanced
PALabs-v1PALabs-v1
3

qdrant-vector-search

Guides Qdrant collection design, HNSW tuning, and filtered search within fusion retrieval pipelines.

Official
Intermediate
PALabs-v1PALabs-v1
3

pdf

Extract, merge, split, create, and fill PDF documents using Python libraries and command-line tools.

Official
Advanced
PALabs-v1PALabs-v1
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redis-core

Guides Redis data structure selection and consistent colon-separated key naming conventions.

Official
Intermediate
PALabs-v1PALabs-v1
3

qdrant-performance-optimization

Routes Qdrant performance symptoms to tuning guidance for search speed, indexing, and memory usage.

Official
Intermediate
PALabs-v1PALabs-v1
3

neo4j-driver-python-skill

Implements Python applications connecting to Neo4j using the official driver v6 API.

Official
Advanced

Frequently Asked Questions About PALabs

FAQPage Schema
What tasks can I accomplish using PALabs skills?

You can build voice agents with ElevenLabs and LiveKit, design cognitive memory systems, optimize Qdrant vector search and hybrid retrieval, write Neo4j Cypher queries, tune PostgreSQL and Redis, process PDF/DOCX/PPTX files, and apply Python testing, async, and design patterns.

Who are PALabs skills designed for?

They target engineers building local-first intelligent systems: backend developers working with PostgreSQL, Redis, Neo4j, and Qdrant; Python and Rust developers handling async patterns and PyO3 extensions; and teams shipping voice agents, streaming TTS pipelines, and multi-agent architectures.

How do I install and run PALabs skills in practice?

Skills are installed via the find-skills discovery skill, which surfaces installable capabilities when you ask how to do something. Each skill carries native frontmatter with triggers, and some declare allowed-tools like Read, Grep, Glob, Bash, or WebFetch for controlled execution.

Are PALabs skills open source and what do they cost?

Licensing varies per skill. Many are MIT-licensed (LiveKit, Redis, Vercel React skills), agent-memory-systems is Apache 2.0, while the pdf, docx, and pptx skills are proprietary with terms in their LICENSE.txt files. No usage fees are stated in the manifest.

What prerequisites or dependencies do PALabs skills require?

Dependencies are skill-specific: neo4j-driver-python-skill requires Python 3.10+ and the neo4j package; neo4j-cypher-skill targets Neo4j 2025.01+ with Cypher 25; ElevenLabs agents use React, React Native, or Swift SDKs; PyO3 skills require maturin and Cargo builds.