pymc-bayesian-modeling

• Total Skills: 375
• Total Droids: 155
• Total Commands: 2
• Combined Resources: 532
• Categories: AI/ML, Development, Scientific Research, Business, Security, Design, and more
• Sources: 15+ open-source repositories + personal custom droids
• Format: Factory-compatible SKILL.md, droid .md, and command .md files

🎪 Custom Droids (155 droids)

Autonomous AI agents with specialized expertise:

• Languages: Python, TypeScript, Rust, Go, Java, C++, Ruby, Elixir, Scala, PHP, and more
• AI/ML Specialists: Prompt engineers, MLOps, model training, inference optimization
• Architecture: System architects, database architects, cloud architects, Kubernetes experts
• Security: Blue team, red team, security coders, compliance experts
• Business: Content marketing, sales automation, customer support, business analysis
• Scientific: Fixed star astrology, harmonic mathematics, temporal analysis
• Quality & Compliance: ISO 13485, ISO 27001, FDA, GDPR, MDR specialists
• DevOps: CI/CD, infrastructure, observability, incident response
• Frontend/Backend: Senior engineers for all major stacks
• Data: Data engineers, data scientists, analytics specialists

🎮 Custom Commands (2 commands)

Reusable workflow commands for common tasks:

• start - Comprehensive project onboarding briefing for any codebase

- Systematic analysis using project-onboarding-briefer droid

- Complete system overview, architecture layers, data flow visualization

- Git evolution analysis, code statistics, quality validation

- Professional assessment with ratings and enhancement recommendations

- Phased onboarding roadmap for new team members

• understand - "Understand First, Implement Once" (UFIO) methodology

- Requirements extraction and validation before coding

- Multi-solution approach generation with trade-off analysis

- Detailed implementation planning with approval gates

- Single-session execution for first-time success

- Comprehensive verification and rollback procedures

AI & Machine Learning (80+ skills)

• LLM Frameworks: LangChain, LlamaIndex, DSPy, Guidance, Instructor
• Training & Fine-tuning: TRL, Axolotl, Unsloth, LLaMA-Factory, DeepSpeed
• Inference & Serving: vLLM, SGLang, TensorRT-LLM, LLaMA.cpp
• Optimization: LoRA, QLoRA, GPTQ, Flash Attention, Model Pruning
• Safety & Alignment: Constitutional AI, LlamaGuard, NeMo Guardrails
• Evaluation: LM Evaluation Harness, MLflow, Weights & Biases

Scientific Research (120+ skills)

• Bioinformatics: Biopython, scanpy, scvi-tools, PyDESeq2, AnnData
• Cheminformatics: RDKit, DeepChem, Datamol, MolFeat
• Data Analysis: Pandas, Polars, Dask, Vaex, SciPy, Statsmodels
• Visualization: Matplotlib, Seaborn, Plotly, NetworkX
• Machine Learning: Scikit-learn, PyTorch Lightning, SHAP
• Databases: PubMed, UniProt, PDB, ChEMBL, KEGG, DrugBank, COSMIC

Development & Engineering (100+ skills)

• Frontend: React, Next.js, TailwindCSS, shadcn/ui, Zustand
• Backend: Node.js, FastAPI, Django, Express, Hono
• Databases: PostgreSQL, Drizzle ORM, Supabase
• Cloud: Cloudflare Workers (18 skills), Vercel, AWS
• AI Integration: OpenAI, Anthropic, Google Gemini, ElevenLabs
• Testing: Playwright, Vitest, Jest, E2E patterns

Business & Product (40+ skills)

• Product Management: PRD templates, roadmaps, user stories
• Marketing: Content creation, SEO, demand generation
• Quality & Regulatory: ISO 13485, ISO 27001, FDA compliance, GDPR
• Executive: CEO advisor, CTO advisor, business analysis

Documentation & Writing (25+ skills)

• Scientific Writing: LaTeX, research papers, citations, peer review
• Clinical: Clinical reports, treatment plans, clinical decision support
• Technical: API documentation, README generation, changelogs

Utilities & Automation (30+ skills)

• Document Processing: PDF, DOCX, PPTX, XLSX, Markdown
• Data: CSV analysis, exploratory data analysis
• Notion Integration: Knowledge capture, meeting intelligence
• Developer Tools: Git helpers, testing, security scanning

Installation for Factory Droid

1. Clone this repository:

```bash

git clone https://github.com/ovachiever/droid-tings.git

cd droid-tings

```

1. Install skills:

```bash

# For project-specific skills

cp -r skills/* .factory/skills/

# For personal skills (available across all projects)

cp -r skills/* ~/.factory/skills/

```

1. Install custom droids:

```bash

# For project-specific droids

cp droids/* .factory/droids/

# For personal droids (available across all projects)

cp droids/* ~/.factory/droids/

```

1. Install custom commands:

```bash

# For project-specific commands

cp commands/* .factory/commands/

# For personal commands (available across all projects)

cp commands/* ~/.factory/commands/

```

1. Restart your Droid:

```bash

# Factory will automatically detect new skills, droids, and commands

```

Using Individual Skills, Droids & Commands

Skills are self-contained in their own directories with:

• SKILL.md - Main skill definition with YAML frontmatter
• Supporting files (if needed) - References, examples, templates

Droids are autonomous agents defined as:

• .md files with configuration and instructions
• Model selection, tool access, and autonomy levels
• Specialized expertise and domain knowledge

Commands are reusable workflow templates:

• .md files with YAML frontmatter and detailed instructions
• Can be invoked by name with optional arguments
• Combine multiple droids and tools into cohesive workflows
• Usage: /command-name [optional-arguments]

Browsing the Collection

• Skills: Browse the skills/ directory (375 skills organized alphabetically)
• Droids: Browse the droids/ directory (155 custom droids)
• Commands: Browse the commands/ directory (2 workflow commands)

• [Skills Index](SKILLS_INDEX.md) - Complete list organized by category
• [Contributing Guidelines](CONTRIBUTING.md) - How to add new skills
• [License](LICENSE) - MIT License

Skills are reusable capabilities that AI agents invoke on demand. They pack instructions, expertise, and tools into a lightweight package.

Key properties:

• Model-invoked – AI decides when to use them based on the task
• Composable – Can be chained together in workflows
• Token-efficient – Focused and not bloated with unused context

A skill can be:

• A workflow – Step-by-step instructions for a task
• Expertise – Domain knowledge and conventions
• Both – Instructions + tools + best practices

Each skill follows the Factory format:

```markdown

---

name: skill-name

description: When and how to use this skill

version: 1.0.0

---

# Skill Name

...

...

```

AI Development

• vllm - High-throughput LLM serving with PagedAttention
• langchain - Framework for building LLM applications
• pytorch-lightning - Production-ready deep learning

Scientific Computing

• biopython - Molecular biology toolkit
• scikit-learn - Machine learning in Python
• rdkit - Cheminformatics and molecular modeling

Web Development

• nextjs - React framework for production
• cloudflare-workers-ai - AI on Cloudflare's edge network
• drizzle-orm-d1 - Type-safe database ORM

Business & Productivity

• notion-knowledge-capture - Transform conversations in