building-nextjs-apps
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
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Expert at creating and managing Claude Code plugins that bundle agents, skills, commands, and hooks into cohesive packages. Auto-invokes when the user wants to create, structure, validate, or publish a complete plugin, or needs help with plugin architecture and best practices. Also auto-invokes proactively when Claude is about to create plugin directory structures, write plugin.json manifests, or implement tasks that involve bundling components into a plugin package.
Strategies for transforming a software product into a global community and ecosystem. Use this when launching open-source projects, building developer platforms, or seeking to create a competitive moat through ecosystem incentives rather than just features.
building-rag-systems
Use when creating new Claude Code skills, setting up marketplace repositories, or packaging skills for distribution - complete workflow from skill creation to marketplace publication
Expert at creating and modifying Claude Code skills. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize skills, or when modifying skill YAML frontmatter fields (especially 'allowed-tools', 'description'), needs help designing skill architecture, or wants to understand when to use skills vs agents. Also auto-invokes proactively when Claude is about to write skill files (*/skills/*/SKILL.md), create skill directory structures, or implement tasks that involve creating skill components.
Use when creating static websites with Next.js static export - covers YAML-based content, image optimization, form handling, SEO, and deployment to GitHub Pages/Netlify/Vercel
Expert for building user stories using Test-Driven Development (TDD) with NestJS and @lenne.tech/nest-server. Implements new features by creating story tests first in tests/stories/, then uses generating-nest-servers skill to develop code until all tests pass. Ensures high code quality and security compliance. Use in projects with @lenne.tech/nest-server in package.json dependencies (supports monorepos with projects/*, packages/*, apps/* structure).
Help users build and maintain strong team culture. Use when someone is defining team values, creating psychological safety, onboarding to a new team, navigating cultural change, or building distributed team norms.
Build or refresh a team culture and produce a Team Culture Operating System Pack (culture snapshot, culture code, norms, rituals, rollout + measurement plan). Use for team culture, culture code, team values, team norms, psychological safety, and coaching culture. Category: Hiring & Teams.
Use when starting on a new product, joining a team, or needing a shared understanding of product, customers, and current bets.
Build persistent memory systems for AI agents using Mem0, claude-mem, or custom implementations. Use when adding conversation memory, user preferences, or contextual recall to agents. Covers memory architecture patterns, retrieval strategies, and privacy controls. NOT for RAG systems (use building-rag-systems).
Use when building AI agents with Anthropic's Claude Agent SDK (formerly Claude Code SDK). Triggers include creating autonomous agents, building agentic applications, SDK-based automation, implementing hooks/subagents/MCP servers, session management, or agent tool usage. NOT when using Claude API directly (use anthropic-sdk) or building MCP servers from scratch (use mcp-builder).
Use when implementing Kubernetes security patterns including RBAC, NetworkPolicies, Pod Security Standards, secrets management, image scanning with Trivy, Cosign signing, and Dapr security. Covers 4C model, compliance fundamentals.
Use when building distributed microservices with Dapr sidecar architecture. Triggers include Dapr components, service invocation, state management, pub/sub, secrets, bindings, configuration, actors, and workflows. NOT for direct infrastructure clients (use building-with-kafka-strimzi instead).
Build production traffic engineering for Kubernetes with Envoy Gateway, Gateway API, KEDA autoscaling, and Envoy AI Gateway. Use when implementing ingress, rate limiting, traffic routing, TLS, autoscaling, or LLM traffic management.
Use when building AI agents with Google's Agent Development Kit (ADK). Triggers include creating ADK agents, Gemini-powered agents, multi-agent workflows, MCP integration with ADK, agent evaluation, workflow agents (Sequential/Parallel/Loop), Vertex AI deployment, or comparing OpenAI SDK with ADK. NOT when using other frameworks (OpenAI SDK, LangChain, CrewAI) or general LLM API calls.
Use when building event-driven systems with Apache Kafka on Kubernetes. Triggers include EDA patterns, Kafka producers/consumers, Strimzi operator deployment, Schema Registry, transactions, exactly-once semantics. NOT for general messaging (use Dapr pub/sub for abstraction).
Produce an LLM Build Pack (prompt+tool contract, data/eval plan, architecture+safety, launch checklist). Use for building with LLMs, GPT/Claude apps, prompt engineering, RAG, and tool-using agents.
Deploy Kubernetes workloads to real cloud providers. Use when provisioning managed Kubernetes (DOKS, AKS, GKE, EKS, Civo) or self-managed clusters (Hetzner + K3s). Covers CLI tools, cluster creation, LoadBalancers, DNS, TLS, and cost optimization.
Use when building web UIs with Next.js 15+ and React 19 - covers Server Components, App Router, testing with Vitest and Playwright, and accessibility standards
Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing. Also for using LiteLLM to run agents on free/alternative models (Anthropic, Gemini). NOT for general OpenAI API usage (use openai-python SDK docs instead).
Knowledge base for generating GitLab CI/CD configurations using the To-Be-Continuous framework.
Execute whiteboard plans through gated phases with subagent dispatch. Require feature branch. Each phase goes through DISCOVERY -> PRE-GATE (pseudocode) -> IMPLEMENT -> POST-GATE (reviewer) -> CHECKPOINT. Produce per-phase commits, execution log, and working code with tests. Use after /code-foundations:whiteboarding to implement saved plans. Triggers on: build it, execute plan, implement the whiteboard, run the plan.
Will utilise buildkite read only mcp server to solve specific buildkite issues encountered
Use this skill when working with Buildkite CI/CD pipelines, agents, builds, test analytics, or package registries. Covers pipeline configuration, YAML syntax, agent setup, build steps, plugins, and API usage.
Guides development of AILANG builtin functions. Use when user wants to add a builtin function, register new builtins, or understand the builtin system. Reduces development time from 7.5h to 2.5h (-67%).
Use omicverse's pyComBat wrapper to remove batch effects from merged bulk RNA-seq or microarray cohorts, export corrected matrices, and benchmark pre/post correction visualisations.
Guide Claude through omicverse's bulk RNA-seq DEG pipeline, from gene ID mapping and DESeq2 normalization to statistical testing, visualization, and pathway enrichment. Use when a user has bulk count matrices and needs differential expression analysis in omicverse.
Walk Claude through PyDESeq2-based differential expression, including ID mapping, DE testing, fold-change thresholding, and enrichment visualisation.
Use when generating multiple curriculum-aligned concept files in parallel (5+ concepts) - researches curriculum, creates concept list, spawns parallel generation agents, orchestrates review loop until all pass
Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.
Help Claude query STRING for protein interactions, build PPI graphs with pyPPI, and render styled network figures for bulk gene lists.
A tool for scanning and summarizing media content across YouTube, podcast RSS feeds, SoundCloud, and other sources supported by yt-dlp. Ideal for podcast research, conference talk digests, tutorial co
Extend scRNA-seq developmental trajectories with BulkTrajBlend by generating intermediate cells from bulk RNA-seq, training beta-VAE and GNN models, and interpolating missing states.
Assist Claude in running PyWGCNA through omicverse—preprocessing expression matrices, constructing co-expression modules, visualising eigengenes, and extracting hub genes.
Resource isolation strategies to prevent cascading failures and limit blast radius in distributed systems
Analyzes bull-call-spread debit spreads for bullish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price increase, comparing vertical spread configurations, analyzing debit spread opportunities, calculating Greeks for multi-leg positions, or evaluating defined-risk bullish strategies on liquid optionable securities.
Execute automated release workflow for Rust projects using Conventional Emoji Commits. Analyze commits since last release, determine semantic version bump (MAJOR/MINOR/PATCH), update Cargo.toml, generate changelog with git-cliff, create git tags, and publish GitHub releases. Use when the user requests to cut a release, bump version, create a release, or publish a new version. Also use when the user asks about the release process or wants to preview what the next release would be.
Build production-grade CLI tools with Bun. Reference implementation covering argument parsing patterns (--flag value, --flag=value, --flag), dual markdown/JSON output, error handling, subcommands, and testing. Use when building CLIs, designing argument parsing, implementing command structures, reviewing CLI quality, or learning Bun CLI best practices.
Generate optimized Docker images for Bun applications. Use when deploying to containers, minimizing image sizes, setting up CI/CD pipelines, or deploying to Kubernetes.
Set up high-performance development servers with Hot Module Replacement. Use when creating dev servers for web apps, setting up React Fast Refresh, or configuring API servers with live reload.
Use for Docker with Bun, Dockerfiles, oven/bun image, containerization, and deployments.
Use for Bun file I/O: Bun.file, Bun.write, streams, directories, glob patterns, metadata.
Use when building APIs with Hono framework on Bun, including routing, middleware, REST APIs, context handling, or web framework features.
Use when implementing hot reloading with Bun (--hot, --watch), HMR, or automatic code reloading during development. Covers watch mode, hot mode, and HTTP server reload.
Initialize a new Bun project with TypeScript and optimal configuration. Use when starting a new Bun project or converting a directory to a Bun project.
Evaluate JavaScript at bundle time and inline results. Use when optimizing compile-time code generation, embedding files, inlining environment variables, or executing code during the bundling process.
Run Next.js applications with Bun for faster development and builds.
Use when running Nuxt 3 with Bun runtime, building Vue/Nuxt apps with Bun, or configuring Nuxt projects to use Bun for development and production.