Execute iterative refinement workflows with validation loops until quality criteria are met. Use for test-fix cycles, code quality improvement, performance optimization, or any task requiring repeated action-validate-improve cycles.

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Build, review, and refactor Java backend services (Spring Boot). Use for tasks like REST API design, controllers/services/repositories, PostgreSQL persistence (JPA/MyBatis), migrations, configuration, security (Spring Security), observability, testing, performance tuning, and production hardening.

Write modern, performant Ember.js applications following Ember Octane conventions and current best practices.

JavaScript and TypeScript coding standards, conventions, and best practices. Use when writing, reviewing, or testing JS/TS code.

Java Backend Coding Technology skill for designing, implementing, and reviewing functional Java backend code. Use when working with Result, Option, Promise types, value objects, use cases, or when asked about JBCT patterns, monadic composition, parse-don't-validate, structural patterns (Leaf, Sequencer, Fork-Join), or functional Java backend architecture.

Automate JIRA ticket status transitions after pull requests are merged, ensuring proper workflow closure

Editor for non-fiction texts. The audience is business analysts and senior managers.

JavaScript style and best practices based on Google's official JavaScript Style Guide. This skill should be used when writing, reviewing, or refactoring JavaScript code to ensure consistent style and prevent common bugs. Triggers on tasks involving JavaScript, ES6, modules, JSDoc, naming conventions, or code formatting.

JavaScript and TypeScript best practices covering naming conventions, control flow, state management, TypeScript patterns (avoid any/enum, prefer type over interface), safety (input validation, assertions, error handling), performance optimization (reduce branching/looping, memoization, defer await, cache property access, storage API caching, avoid needless allocations, currying for hot paths), and documentation (JSDoc, comment markers). Use when writing JS/TS functions, refactoring code for performance, reviewing code quality, fixing type errors, optimizing loops or conditionals, adding validation, or improving error messages.

Write JavaScript/TypeScript that is performant, readable, and easy to trust with minimal inspection. Use when generating or reviewing JS/TS code—scripts, utilities, data processing, or performance-sensitive logic—so outputs are correct, fast, and maintainable without heavy manual review.

jscodeshift codemod development best practices from Facebook/Meta. This skill should be used when writing, reviewing, or debugging jscodeshift codemods. Triggers on tasks involving AST transformation, code migration, automated refactoring, or codemod development.

This skill should be used when the user asks to 'audit for JSR', 'check JSR readiness', 'review JSR config', 'verify package for JSR', 'publish to JSR', 'prepare for JSR publishing', 'JSR compliance check', 'run JSR audit', or wants to ensure their Deno/TypeScript package meets JSR standards before publishing.

Professional JUCE development guide covering realtime safety, threading, memory management, modern C++, and audio plugin best practices. Use when writing JUCE code, reviewing for realtime safety, implementing audio threads, managing parameters, or learning JUCE patterns and idioms.

Programmatic interface to Google's Jules API for asynchronous coding task delegation. Use when creating Jules sessions, monitoring async work, or integrating code reviews/refactoring/tests into workflows. Not for synchronous coding tasks or when immediate execution is required.

Guidelines for structuring and documenting Jupyter notebooks for reproducibility and clarity.

Create and manage Jupyter notebooks for testing Adobe Edge Delivery Services (EDS) blocks interactively in the browser using the ipynb-viewer block. Interactive JavaScript execution, overlay previews with backdrop, direct ES6 imports. Use when creating notebooks, testing blocks with ipynb files in browser, generating overlay previews, or creating executable documentation.

k8s-reviewer

ALWAYS apply this skill for ANY software development task. Triggers: implement, create, build, add, write, code, function, class, component, API, feature, fix, bug, debug, refactor, improve, clean, review, check, design, architect, structure, test, endpoint, module, service, handler, controller, model, schema, migration, deploy, configure. This skill enforces kadoppe's development principles for all coding work.

Kanban QA role. USE WHEN user says /kanban-qa OR wants to review completed kanban tasks.

Use when the user requests a repository review, code assessment, or honest evaluation of their codebase. Provides brutally honest AI-powered reviews with market-aware Karen Scores (0-100) analyzing over-engineering, completion honesty, and practical value. Available as GitHub Action or IDE tool.

Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.

Principes KISS, DRY, YAGNI. Use when reviewing code quality or refactoring.

KPI for measuring and improving code quality. Covers lint errors, type safety, test coverage, and verification pass rates. Use to ensure code meets quality standards.

Generate comprehensive Pull Request descriptions by analyzing git changes, commit history, Linear issues, and code structure for both GitLab and GitHub

Kubernetes container orchestration. Use when deploying to Kubernetes, writing manifests, configuring Helm charts, or troubleshooting cluster issues.

Conduct structured portfolio health checks for existing Lagoon users, including risk assessment, performance analysis, rebalancing guidance, and forward projections. Activates for portfolio review, position check, and rebalancing requests.

Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use when building or refactoring supervisor/subagent architectures, orchestrator-worker workflows, routing/hand-offs, agentic RAG, memory (short + long-term), state + context engineering, guardrails + human-in-the-loop, MCP tool integration, observability (LangSmith/OpenTelemetry), deployment, and performance/cost optimization — or when migrating off deprecated patterns like `langgraph.prebuilt.create_react_agent` and libraries like `langgraph-supervisor(-py)`, LlamaIndex agents, CrewAI, Agno, or OpenAI Agents.

Validates LangGraph implementations for correctness, consistency, and integration readiness. Use this skill when implementing, reviewing, or debugging any LangGraph code - agents, nodes, subgraphs, state schemas, or graph compositions. Prevents common LangGraph failures including orphaned nodes, state key mismatches, broken conditional edges, and integration incompatibilities. Triggers on LangGraph development tasks, code reviews, or when debugging graph execution issues.

Analyze code and documentation for non-inclusive language, understanding context and intent before flagging issues. Use when reviewing code for biased terms, gendered language, or problematic terminology.

Code quality tooling with PHPStan, Pint, and strict types. Use when working with code quality, static analysis, formatting, or when user mentions PHPStan, Pint, quality, static analysis, type safety, code style, linting.

LaTeX builds with latexmk and live preview. TRIGGERS - latexmk, LaTeX build, live preview, compilation.

Say "launch a swarm" to spawn 5 parallel agents that review your work through Structure, Protection, Correctness, Evolution, and Value lenses. Use during planning, building, or validation phases.

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Use for implementing features, writing production TypeScript/Langium code, code review guidance, and ensuring technical quality. Activate when implementing new functionality, reviewing PRs, or optimizing performance.

'Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from a session, or review workflow effectiveness.'

Manage learned patterns - list, view, archive, boost or penalize confidence. Use when you want to see what patterns Claude has learned, review pattern effectiveness, or manage the pattern library.

Review educational content against the Four Learning Design Pillars framework. Use when users want to evaluate course materials, lessons, tutorials, e-learning modules, or any instructional content for alignment with evidence-based learning design principles. Provides structured feedback with specific principle references (e.g., 1.1.1, 2.3.4) and actionable recommendations.

Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users request refactoring, updates, or analysis of legacy codebases.

Provides expert legal guidance on technology law, contracts, compliance, and intellectual property matters. Specializes in data privacy regulations, software licensing, terms of service, and risk miti

Legal document analysis, contract review, and compliance guidance for business and personal legal matters

Legal and compliance expertise for corporate governance, contract analysis, regulatory compliance (SOX, GDPR, HIPAA), risk assessment, intellectual property, and litigation management. Use when reviewing contracts, ensuring compliance, or managing legal risk.

Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.

CREATE/REPLAN Epics from scope (3-7 Epics). Batch Preview + Auto-extraction. Decompose-First Pattern. Auto-discovers team ID.

Orchestrates Story tasks. Prioritizes To Review -> To Rework -> Todo, delegates to ln-401/ln-402/ln-403/ln-404, hands Story quality to ln-500. Metadata-only loading up front.

Executes implementation tasks (Todo -> In Progress -> To Review). Follows KISS/YAGNI, guides, quality checks. Not for test tasks.

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