Claude Skills

Systematic and adaptable code review methodology using Language Server Protocol tools. Adapts to available LSP capabilities across programming languages. Use when user asks for code reviews, quality assessments, or specific analysis of codebases in any programming language.

Reference manual for framework methodology throughout session. Provides guidance on cognitive architecture that replaces default AI assistant behaviors with systematic patterns proven through collaborative experience. Consult this manual throughout session when applying framework procedures.

Startup protocol executed once at session start. Detects system instruction impulses, caches framework observations from memory graph, establishes temporal awareness, and activates specialized profiles. Provides initial session initialization protocol and session response protocol applied before each response. Execute procedures in sequence without displaying process details to user.

Technical conversation log with factual accuracy and precision tailored specifically for DEVELOPER and ENGINEER profiles. Provides systematic guidance for capturing decisions, outcomes, and next steps. Use when user asks to create technical conversation logs for reviews, architecture discussions, or implementation sessions.

Run the case feedback script to submit feedback for the current conversation. Only use when invoked by case-feedback-agent.

Author Smithers (smithers-orchestrator) Bun/TSX JSX workflows for Claude Code: durable, resumable, observable orchestration with SQLite state (phases/steps), tool-scoped agents, optional parallelism, and workflow logs.

Expert-level Kamal deployment guidance for deploying containerized applications to any server. Use this skill when users ask about Kamal, container deployment, zero-downtime deployments, deploying Rails/web apps to VPS/cloud servers, kamal setup, kamal deploy, Docker deployment without Kubernetes, or deploying to Hetzner/DigitalOcean/AWS with Kamal. Also use when users mention DHH's deployment tool, 37signals deployment, or want an alternative to Heroku/Render/Vercel with self-hosted infrastructure.

Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizzes. Uses cloud storage via MCP for tutorials and learner profiles.

Expert prompt engineering for AI systems. Use when the user wants to write or review prompts for AI, create instructions for AI systems, build system prompts, review or improve existing prompts, optimize AI instructions, or create any form of written communication intended for AI consumption (Claude, GPT, or other LLMs).

Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.

Diagnose and fix broken builds or failing tests with coordinated retries. Use when a build/test is broken, pre-commit hooks fail, or agents should coordinate a fix.

Run the usage query script to retrieve account usage information for GLM Coding Plan. Only use when invoked by usage-query-agent.

Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.

Expert at writing and reviewing Rails code following DHH's style as practiced at 37signals. Use when writing new Rails code, reviewing Rails code, making architectural decisions in Rails apps.

Use when creating/writing/building OpenRewrite recipes, working with .java recipe files, RewriteTest files, recipe YAML files, LST visitors, JavaTemplate, visitor patterns, or when discussing recipe types (declarative YAML, Refaster templates, imperative Java recipes) - guides creation of OpenRewrite recipes for automated code transformations, AST manipulation, custom refactoring rules, and code migration.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Comprehensive Kubernetes debugging and troubleshooting toolkit. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network connectivity problems, analyzing resource usage, troubleshooting deployments, or performing cluster health checks.

Comprehensive toolkit for generating, validating, and managing Kubernetes YAML resources. Use this skill when creating Kubernetes manifests (Deployments, Services, ConfigMaps, StatefulSets, etc.), working with Custom Resource Definitions (CRDs), or generating production-ready K8s configurations.

Create annotated blog posts from technical talks with slides. Use when asked to convert a video presentation to a blog post, create written content from a talk, or annotate slides with transcript.

Download YouTube video transcripts with timestamps. Use when asked to transcribe a YouTube video, get transcript, or extract text from a video URL.

Fetch Kit (ConvertKit) newsletter broadcasts for writing context. Use when asked to download newsletters, get past email content for style reference, or fetch broadcasts for analysis.

Query Obsidian Bases via the Bases Query plugin (RPC). Use when you need to read structured data from Obsidian bases.

Generate chapter summaries with timestamps for YouTube videos using AI. Use when asked to create chapters, summarize video sections, or generate video outline.

Analyze Wispr Flow voice dictation data. Stats, search, export, visualizations. Use when user says "dictation history", "word counts", "voice analytics", "how much did I dictate", "search my dictation".