Files
ANGX 508eea9dd9 feat: add high-performance packages and comprehensive environment configuration
Added 11 high-performance packages from OpenClaw analysis:
- @sinclair/typebox (30-100x faster validation than Zod)
- undici (ultra-fast HTTP client, 3-10x faster)
- chokidar (reliable file system watcher)
- commander (modern CLI framework)
- croner (advanced scheduler/cron)
- dotenv (environment variable management)
- linkedom (lightweight DOM for Node.js)
- markdown-it (extensible Markdown parser)
- proper-lockfile (robust file locking)
- sharp (high-performance image processing)
- tslog (structured logging with performance focus)
- semver (semantic versioning - was missing)

Configuration improvements:
- Created comprehensive .env.example with 7 sections
- Documented all environment variables for AI providers
- Added HTTP server, auth, observability, and database configs
- Enhanced parallel task execution instructions (Copilot + Claude)

Package updates:
- Added corresponding TypeScript type definitions
- Updated package-lock.json with 40 new packages
- Removed 1 obsolete package, updated 4 packages

Focus: Performance, power, and production-readiness
2026-02-01 06:19:25 +01:00
..

PCL Standard Library (stdlib)

Version: 2.0.0 Status: Production Ready Total Skills: 173 Expert-Level Skills


🎯 What is the Standard Library?

The PCL Standard Library is a comprehensive collection of 173 expert-level skills for AI agent personas, providing deep domain expertise across programming languages, frameworks, cloud platforms, data systems, security, and industry verticals.

Each skill represents expert-level mastery in a specific domain with:

  • Core Concepts: Fundamental principles and architecture
  • Code Examples: Production-ready implementations (250-800+ lines)
  • Best Practices: Industry standards and proven patterns
  • Anti-Patterns: Common mistakes to avoid
  • Resources: Documentation, tools, and learning materials

📊 Library Statistics

  • Total Skills: 173 expert-level skills
  • Categories: 14 major domains
  • Total Content: ~120,000+ lines of expert knowledge
  • Coverage: Languages, Frameworks, Cloud, Data, Security, DevOps, Industries, and more

🗂️ Skill Categories

Category Count Examples
Languages 22 Python, TypeScript, Rust, Go, Java, Kotlin, Scala, Haskell, Julia, Zig
Frameworks 21 React, Vue, Angular, Next.js, Django, Spring Boot, Flutter, Tauri
DevOps 17 Kubernetes, Docker, Terraform, ArgoCD, Prometheus, Grafana, Istio
Domains 76 Healthcare, Finance, Legal, Manufacturing, Energy, AgTech, Web3
Data & Analytics 14 Snowflake, Databricks, Airflow, dbt, Tableau, Power BI, Kafka
Security 12 Penetration Testing, Zero Trust, GDPR, SOC2, Cryptography
QA & Testing 12 Playwright, Cypress, Jest, Selenium, Load Testing, Chaos Engineering
API & Integration 6 REST, GraphQL, gRPC, Microservices, API Design
Cloud Platforms 4 AWS, Azure, GCP, Cloudflare
AI & ML 4 Machine Learning, AI Architecture, Data Science
Tools 5 Slack, Teams, Discord, WebRTC, Video Streaming
Professional 6 Banking, Legal, Accounting, FinOps, Auditing
Scientific 3 Quantum Computing, Bioinformatics, Research
Design 1 System & UX Design

See SKILLS_INVENTORY.md for the complete skill list.

🚀 Quick Start

1. Browse Available Skills

# List all skills
find stdlib -name "SKILL.md" -o -name "*-expert.md"

# Search for specific domain
find stdlib -name "*react*"
find stdlib -name "*kubernetes*"

2. Load Skills into a Persona

# persona.pcl
persona "FullStackDeveloper" {
  version = "1.0.0"

  # Load skills from stdlib
  skills = [
    "stdlib/languages/typescript-expert",
    "stdlib/frameworks/react-expert",
    "stdlib/frameworks/nextjs-expert",
    "stdlib/data/postgresql-expert",
    "stdlib/devops/docker-expert"
  ]

  constraints {
    max_tokens = 8000
    allowed_tools = ["Read", "Write", "Edit", "Bash"]
  }
}

3. Use Skills in Multi-Agent Systems

# multi-agent-system.pcl
system "DataPlatform" {

agent "DataEngineer" {
skills = [
"stdlib/data/airflow-expert",
"stdlib/data/dbt-expert",
"stdlib/data/snowflake-expert",
"stdlib/languages/python-expert"
]
role = "Build and maintain data pipelines"
}

agent "DataAnalyst" {
skills = [
"stdlib/data/tableau-expert",
"stdlib/data/powerbi-expert",
"stdlib/data/sql-expert"
]
role = "Create dashboards and analytics"
}

agent "MLEngineer" {
skills = [
"stdlib/ai/ml-expert",
"stdlib/data/databricks-expert",
"stdlib/languages/python-expert"
]
role = "Train and deploy ML models"
}
}

📖 Skill Format

Each skill follows the PCL Agent Skills Specification:

---
name: skill-name
version: 1.0.0
description: Brief description of the skill
category: domain
tags: [tag1, tag2, tag3]
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash(command:*)
---

# Skill Title

Brief introduction to the skill domain.

## Core Concepts

### Concept 1

Explanation...

## Code Examples

\`\`\`language
// Production-ready code example
// 50-200 lines demonstrating real-world usage
\`\`\`

## Best Practices

- Practice 1
- Practice 2

## Anti-Patterns

❌ Anti-pattern 1
❌ Anti-pattern 2

## Resources

- Documentation: https://...
- Tools: https://...

🎭 Example Personas

Full-Stack Web Developer

persona "FullStackDev" {
  description = "Expert full-stack web developer"

  skills = [
    # Frontend
    "stdlib/languages/typescript-expert",
    "stdlib/frameworks/react-expert",
    "stdlib/frameworks/nextjs-expert",

    # Backend
    "stdlib/languages/nodejs-expert",
    "stdlib/frameworks/fastapi-expert",
    "stdlib/api/graphql-expert",

    # Database
    "stdlib/data/postgresql-expert",
    "stdlib/data/redis-expert",

    # DevOps
    "stdlib/devops/docker-expert",
    "stdlib/devops/kubernetes-expert",
    "stdlib/cloud/aws-expert"
  ]

  constraints {
    governance_level = "high"
    risk_classification = "medium"
  }
}

Cloud Security Architect

persona "SecurityArchitect" {
  description = "Expert in cloud security and compliance"

  skills = [
    # Security
    "stdlib/security/zero-trust-expert",
    "stdlib/security/cryptography-expert",
    "stdlib/security/penetration-testing-expert",

    # Compliance
    "stdlib/security/gdpr-expert",
    "stdlib/security/soc2-expert",

    # Cloud
    "stdlib/cloud/aws-expert",
    "stdlib/cloud/azure-expert",
    "stdlib/devops/kubernetes-expert",
    "stdlib/devops/istio-expert"
  ]

  constraints {
    governance_level = "critical"
    risk_classification = "high"
    audit_required = true
  }
}

Data Platform Engineer

persona "DataEngineer" {
  description = "Expert in modern data platforms"

  skills = [
    # Languages
    "stdlib/languages/python-expert",
    "stdlib/languages/scala-expert",

    # Data Platforms
    "stdlib/data/snowflake-expert",
    "stdlib/data/databricks-expert",

    # Orchestration
    "stdlib/data/airflow-expert",
    "stdlib/data/dbt-expert",

    # Streaming
    "stdlib/data/kafka-expert",

    # Cloud
    "stdlib/cloud/aws-expert",
    "stdlib/devops/terraform-expert"
  ]

  constraints {
    governance_level = "high"
    data_classification = ["pii", "confidential"]
  }
}

🔍 Skill Discovery

By Technology Stack

MERN Stack:

  • mongodb-expert
  • nodejs-expert
  • react-expert
  • typescript-expert

Data Science Stack:

  • python-expert
  • data-science-expert
  • ml-expert
  • databricks-expert

Cloud Native Stack:

  • kubernetes-expert
  • istio-expert
  • prometheus-expert
  • grafana-expert
  • argocd-expert

Mobile Development:

  • flutter-expert
  • react-native-expert
  • ios-expert
  • android-expert

By Industry

Healthcare: healthcare, healthtech-expert, pharmaceutical-expert Finance: banking-expert, fintech-expert, trading-expert Legal: lawyer-expert, legal-tech, legaltech-expert Manufacturing: manufacturing-expert, iot-expert Agriculture: farming, agtech-expert

🛡️ Governance & Security

Skills integrate with PCL's governance framework:

Risk Classification

skill "penetration-testing-expert" {
  risk_level = "high"          # Can execute security tests
  requires_approval = true      # Human approval needed
  audit_all_actions = true      # Log everything
}

skill "react-expert" {
  risk_level = "low"           # UI development only
  requires_approval = false
}

Tool Permissions

# Skill declares what tools it needs
allowed-tools:
  - Read # Can read files
  - Write # Can write files
  - Edit # Can edit files
  - Bash(npm:*, yarn:*) # Can run npm/yarn only
  - Bash(kubectl:get:*) # Can only run kubectl get

Compliance Alignment

Skills support compliance frameworks:

  • ISO 42001 - AI risk management
  • ISO 27001 - Information security
  • GDPR - Data protection (gdpr-expert skill)
  • SOC 2 - Security controls (soc2-expert skill)
  • OWASP - Security best practices

📚 Skill Composition Patterns

Layered Architecture

persona "EnterpriseBackend" {
  skills = [
    # Layer 1: Language
    "stdlib/languages/java-expert",

    # Layer 2: Framework
    "stdlib/frameworks/spring-boot-expert",

    # Layer 3: Data
    "stdlib/data/postgresql-expert",
    "stdlib/data/redis-expert",

    # Layer 4: Integration
    "stdlib/api/microservices-expert",
    "stdlib/api/graphql-expert",

    # Layer 5: Infrastructure
    "stdlib/devops/kubernetes-expert",
    "stdlib/devops/istio-expert",
    "stdlib/cloud/aws-expert"
  ]
}

Cross-Functional Teams

system "ProductDevelopment" {

persona "Frontend" {
skills = ["react-expert", "typescript-expert", "cypress-expert"]
}

persona "Backend" {
skills = ["go-expert", "postgresql-expert", "microservices-expert"]
}

persona "DevOps" {
skills = ["kubernetes-expert", "terraform-expert", "prometheus-expert"]
}

persona "Security" {
skills = ["penetration-testing-expert", "zero-trust-expert"]
}
}

📊 Documentation

🔧 Development & Contributing

Creating Custom Skills

  1. Copy an existing skill as template:
cp -r stdlib/languages/python-expert stdlib/languages/my-skill
  1. Edit SKILL.md with your expertise

  2. Validate the skill:

python scripts/validate-skill.py stdlib/languages/my-skill

See CONTRIBUTING.md for contribution guidelines.

📈 What's New in v2.0.0

Major Expansion: 100 → 173 skills (+73 skills)

New Categories Added:

  • Modern Languages: Zig, Nim, Julia, Haskell, Clojure
  • Modern Frameworks: Vue, Angular, Svelte, Next.js, Remix, Flutter, Tauri
  • Emerging Tech: Web3, Metaverse, Edge Computing, Serverless, WebAssembly, Robotics, 5G
  • Data Platforms: Snowflake, Databricks, Airflow, dbt, Looker, Tableau, Power BI
  • Security & Compliance: Penetration Testing, Zero Trust, GDPR, SOC2, Cryptography
  • Cloud Native: Istio, Helm, ArgoCD, Prometheus, Grafana, Linkerd
  • Mobile & Desktop: Flutter, React Native, iOS, Android, Electron, Tauri
  • Industry Specializations: Pharmaceutical, Biotech, FinTech, RegTech, PropTech, CleanTech
  • Enterprise Systems: SAP, Salesforce, ServiceNow, Workday, Oracle, Microsoft 365
  • Testing & QA: Playwright, Cypress, Jest, Selenium, Load Testing, Chaos Engineering
  • Communication: Slack, Teams, Discord, WebRTC, Video Streaming

📝 License

Part of the PCL project. See LICENSE for details.


The PCL Standard Library - Governed AI expertise at scale 🚀

Last Updated: 2026-01-19 Maintainer: PCL Team Status: Production Ready