
Claude Skills by aicodedecode
github.com/aicodedecodeBuild robust n8n workflows: trigger patterns, error handling, sub-workflows, credentials, and self-hosting. Use when automating with n8n or designing maintainable no-code/low-code pipelines.
Nanoparticle and nanostructure synthesis — nucleation control, size/shape tuning, surface chemistry, and scale-up.
Style React Native apps with Tailwind CSS via NativeWind: setup, responsive design, dark mode, custom themes, and platform quirks. Use when building React Native UIs with utility classes.
NATS guidance — subjects, JetStream persistence, consumer patterns, clustering, and lightweight messaging design.
Neo4j graph modeling and Cypher — use when relationships are the data: fraud, recommendations, knowledge graphs.
Neovim guidance — Lua configuration, lazy.nvim plugin management, LSP setup, Telescope, and Treesitter.
Netlify guidance — deployments, branch previews, serverless functions, edge, forms, and site performance.
Build an authentic professional network with outreach scripts, follow-up systems, and event strategy.
Decoding mental states and stimuli from neural signals — classifiers, cross-validation, and leakage-free evaluation.
Population-level neural data modeling — dimensionality reduction, latent dynamics, and encoding/decoding models.
Support neuroscience research workflows — experimental design, data analysis pipelines, literature tracking, and reproducible methods. Use when assisting with brain-science lab work from hypothesis to publication.
Run professional newsletters — content strategy, writing, growth, deliverability, and monetization.
Build with Next.js App Router: routing, server/client components, data fetching, caching, metadata, and deployment. Use when developing Next.js applications.
Idiomatic Next.js: App Router, Server Components, data fetching/caching, and production deployment. Use when writing, reviewing, or structuring Next.js applications.
Nginx guidance — reverse proxy, load balancing, TLS, caching, rate limiting, and performance tuning.
Deploy NLP models with NLP Cloud — managed endpoints for generation, classification, and specialized language tasks.
Production-grade Node.js guidance — event loop, modules, tooling, debugging, and deployment best practices.
Market for nonprofits — donor acquisition, fundraising campaigns, volunteer recruitment, and mission-driven storytelling.
Take notes that you'll actually use: methods for meetings, lectures, reading, and research, plus processing workflows. Use when improving how you capture and retain information from any source.
Build notification centers — aggregation, preferences, read states, and unifying multi-channel alerts in one place.
Use Notion as a developer knowledge system: docs, runbooks, specs, wikis, and API-driven automation. Use when organizing engineering knowledge in Notion.
Master advanced Notion: relational databases, formulas, rollups, templates, automations, and workspace architecture. Use when building or optimizing Notion systems for projects, knowledge, or teams.
Cost-efficient inference on Novita AI — open models, serverless GPUs, and simple scaling for budget-conscious workloads.
Master npm: workspaces, lockfiles, scripts, publishing, provenance, and security hygiene. Use when managing JS dependencies with npm.
Practical optimization — choosing algorithms, handling constraints, tuning, and diagnosing convergence failures.
NumPy guidance — array operations, broadcasting, vectorization, indexing, linear algebra, and performance.
Run JS monorepos with Nx: task graph, computation caching, affected commands, generators, and module boundaries. Use when managing large monorepos with enforced architecture.
Implement OAuth 2.0 and OpenID Connect securely — flow selection, token hardening, and common vulnerability defenses.
Power-user Obsidian: plugin stack, Dataview queries, Canvas, daily-note workflows, sync, and vault architecture. Use when building a serious markdown-based knowledge system in Obsidian.
Optical character recognition pipelines — engine choice, preprocessing, and accuracy — use when extracting text from images or scans.
Efficient inference on OctoAI — optimized serving for open models with a focus on price-performance.
Run LLMs locally — model selection, setup, quantization choices, API usage, and practical local workflows. Use when you want private, offline, or cost-free model inference on your own machine.
Ollama guidance — running local LLMs, model selection, Modelfiles, API usage, and RAG/agent integration.
Sustainable on-call — rotations, alert hygiene, handoffs, and burnout prevention — use when setting up or fixing on-call.
Run clean on-call handoffs — shift transitions, knowledge transfer, runbook currency, and sustainable rotations.
Design on-demand delivery operations — dispatch, courier management, ETAs, batching, and last-mile economics.
Ramp up fast in a new role with a 30/60/90 plan, stakeholder mapping, and quick-win strategy.
Design SaaS user onboarding — activation flows, checklists, empty states, and time-to-value optimization.
Understand open banking — AIS/PIS flows, consent management, PSD2 concepts, and secure bank-data integration.
Build production agents with a code-first agents SDK — agent definitions, handoffs between specialists, guardrails, sessions, and tracing. Use when structuring multi-agent applications in code.
OpenAI API guidance — chat/completions, function calling, structured outputs, embeddings, assistants, and cost control.
Access hundreds of models through one API with OpenRouter — routing, fallbacks, and unified billing for LLM apps.
Run Opsgenie for alerting and on-call — integrations, routing rules, schedules, and incident collaboration.
Orbits from Kepler to perturbations — elements, transfers, propagation, and rendezvous math that actually works.
Conduct ethical open-source intelligence investigations using public data — for due diligence, incident enrichment, and brand protection.
Field epidemiology outbreak response — case definitions, epidemic curves, analytic studies, and control measures.
Constrain LLM generation to exact structures with Outlines — regex, JSON schema, and grammar-guided decoding.
Apply OWASP frameworks (Top 10, ASVS, SAMM, MASVS, Cheat Sheets) to design, test, and harden web and mobile applications.
Command-line workflows for PaaS platforms — project management, deploys, logs, and automation — vendor-neutral patterns.
Deploying applications on Platform-as-a-Service — build, config, and release patterns that work on any PaaS.