PALabs
Official@PALabs-v1
Experimental AI engineering lab building local-first, personalized intelligent systems.
Agent Skills by PALabs
Showing 49 vetted skills indexed across 1 GitHub repositories.
postgresql
Provides PostgreSQL documentation for SQL queries, database design, administration, and performance tuning.
python-testing-patterns
Implement pytest test suites with fixtures, mocking, parameterization, and coverage reporting.
elevenlabs-agents
Build and deploy conversational AI voice agents on the ElevenLabs platform.
cognitive-memory
Implements multi-store agent memory with decay scoring, reflection cycles, and audit logging.
prompt-engineering-patterns
Implements few-shot, chain-of-thought, and structured-output prompt patterns for LLM applications.
find-skills
Searches and installs agent skills from the open skills ecosystem using the npx skills CLI.
agent-memory-systems
Designs agent memory architectures using vector stores, chunking strategies, and retrieval patterns.
python-design-patterns
Applies Python design principles like SRP, composition, and dependency injection to structure maintainable code.
docker-expert
Diagnoses and optimizes Dockerfiles, container security, and Docker Compose orchestration configurations.
neo4j-data-models
Designs Neo4j graph data models with node, relationship, and constraint patterns.
code-reviewer
Reviews local git changes and remote GitHub pull requests for correctness and maintainability.
async-python-patterns
Implement Python asyncio patterns for concurrent, non-blocking applications.
crafting-effective-readmes
Write and improve README files using audience-matched templates and section guidance.
vercel-react-best-practices
Applies 57 performance optimization rules when writing or refactoring React and Next.js code.
tailwindcss
Implements utility-first Tailwind CSS styling for Vue HUD components with TDD workflows.
framer-motion-animator
Creates React animations and micro-interactions using Framer Motion's declarative API.
python-design-modularity
Guides module boundary design, refactoring, and architecture review in Python codebases.
redis-connections
Configure Redis clients with connection pooling, pipelining, client-side caching, and timeouts.
doc-coauthoring
Guides collaborative document creation through context gathering, iterative drafting, and reader testing.
qdrant-vector-search
Guides Qdrant collection design, HNSW tuning, and filtered search within fusion retrieval pipelines.
Extract, merge, split, create, and fill PDF documents using Python libraries and command-line tools.
redis-core
Guides Redis data structure selection and consistent colon-separated key naming conventions.
qdrant-performance-optimization
Routes Qdrant performance symptoms to tuning guidance for search speed, indexing, and memory usage.
neo4j-driver-python-skill
Implements Python applications connecting to Neo4j using the official driver v6 API.
Frequently Asked Questions About PALabs
FAQPage SchemaWhat 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.