Coding & Dev Tools

Text-to-speech and speech-to-text using fal.ai audio models

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.

Use when building a minimum viable product with maximum constraints

p5.js sketches: gen art, shaders, interactive, 3D.

Search arXiv papers by keyword, author, category, or ID.

Track Apple devices/AirTags via FindMy.app on macOS.

Generate an interactive bash wizard that walks a human through a manual procedure — third-party setup, a one-off migration, an A→B state transition — opening URLs, capturing values, confirming each step, and writing .env files and GitHub Actions secrets.

Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.

Send and receive iMessages/SMS via the imsg CLI on macOS.

Use when using ELK stack.

Use when building throwaway prototypes to answer specific design questions

Use when for crm design.

Use when creating GLSL shaders for real-time visual effects

Use when reviewing a branch, PR, or work-in-progress changes against standards and spec

Use when building gesture-driven or Apple-style interfaces.

Practical bug triage and release-readiness judgment for Nick's projects. Use when grouping bugs by severity, deciding what to fix first, judging go/no-go for release, or turning messy bug lists into a prioritized action plan.

Safe refactor planning for Nick's codebases. Use when planning large refactors, reducing blast radius, sequencing cleanup work, or deciding how to improve messy code without breaking product velocity.

Reporting Templates

DEPRECATED — replaced by stitch-design as primary design tool. Use stitch-design instead. This skill is kept as fallback only if Stitch is unavailable.

Git discipline — atomic commits, conventional messages, branch strategy, PR review patterns, git archaeology for debugging, and recovery patterns.

SKILL — Color Theory

Vyper Mastery

SKILL — Brand Systems

Foundry Testing & Toolchain

Comprehensive guide for Manim Community - Python framework for creating mathematical animations and educational videos with programmatic control

Check current Railway project status for this directory. Use when user asks "railway status", "is it running", "what's deployed", "deployment status", or about uptime. NOT for variables or configuration queries - use railway-environment skill for those.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.

Manage Railway deployments - view logs, redeploy, restart, or remove deployments. Use for deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes). NOT for deleting services - use railway-environment skill with isDeleted for that.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.

Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.

Create changelog creator operations. Auto-activating skill for DevOps Basics. Triggers on: changelog creator, changelog creator Part of the DevOps Basics skill category. Use when working with changelog creator functionality. Trigger with phrases like "changelog creator", "changelog creator", "changelog".

Generate mock generator operations. Auto-activating skill for Test Automation. Triggers on: mock generator, mock generator Part of the Test Automation skill category. Use when working with mock generator functionality. Trigger with phrases like "mock generator", "mock generator", "mock".