Categorize extracted information into the appropriate knowledge base subdirectory (tasks, definitions, wiki, project-status, people, jira-drafts). Use when organizing extractions into the knowledge base.

Progressive learning methodology for structured onboarding using time-boxed learning paths (Day-1, Week-1, Month-1), validation checkpoints, and scaffolding principles. Use when onboarding new contributors, reducing ramp-up time from weeks to days, creating self-service learning paths, systematizing ad-hoc knowledge sharing, or building institutional knowledge preservation. Provides 3 learning path templates (Day-1: 4-8h setup→contribution, Week-1: 20-40h architecture→feature, Month-1: 40-160h expertise→mentoring), progressive disclosure pattern, validation checkpoint principle, module mastery best practice. Validated with 3-8x onboarding speedup (structured vs. unstructured), 95%+ transferability to any software project (Go, Rust, Python, TypeScript). Learning theory principles applied: progressive disclosure, scaffolding, validation checkpoints, time-boxing.

Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices

Extension to kobo-translation skill specifically for translating video subtitles and transcripts in SRT format. Adds subtitle-specific guidelines for character limits, spoken language patterns, chunked translation context management, and maintaining readability on screen. Use this skill when translating SRT subtitle files for KoboToolbox tutorials, webinars, or educational videos.

Correct factually incorrect Kodex topic content

Bootstrap a Kodex knowledge base by analyzing codebase structure and creating topic stubs

Koin dependency injection framework for Kotlin. Use for Kotlin DI, Android development, Ktor backend, Compose Multiplatform, dependency injection patterns, and module definitions.

Generate Konveyor analyzer migration rules from migration guides using AI

Expert Kotlin developer specializing in Kotlin 2.0, Kotlin Multiplatform Mobile (KMP), Coroutines, and Ktor for building modern cross-platform applications and backend services.

Define KPIs, build performance dashboards, track metrics, and drive data-driven decisions

KPI for measuring and improving PR throughput. Defines metrics, measurement methods, and improvement strategies. Use to optimize how many quality PRs get merged.

Create engaging changelogs for recent merges to main branch. Triggers on requests for daily/weekly changelogs, release notes, or summarizing recent changes.

Use this Skill when working in the Connect monorepo and needing to modernize legacy Angular components.

Extract and query meeting data from Granola's local cache on macOS and Windows.

Use a structured workflow with three interconnected documents (main specification, open issues, and log) to plan, track, and document complex implementations, ensuring clarity and continuity. Use when you detect the presence of LOG.md and OPEN_ISSUES_OVERVIEW.md files.

AI-powered Kubernetes operations using kubectl-ai from Google Cloud Platform. This skill should be used when managing Kubernetes clusters with natural language commands, generating manifests, troubleshooting issues, and performing AI-assisted DevOps. Use this skill for Phase IV AIOps integration with Minikube and cloud clusters.

Expert in managing Kubernetes clusters using kubectl-ai and kagent. Use this for generating Helm charts, troubleshooting pods, and automating cluster operations.

Provides production-ready Kubernetes manifest guidance including resource management, security, high availability, and configuration best practices. This skill should be used when working with Kubernetes YAML files, deployments, pods, services, or when users mention k8s, container orchestration, or cloud-native applications.

- Install/remove packages via `nix profile`

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.

kubernetes-manifests

Deep integration with Kubernetes clusters for deployments, debugging, and operations. Execute kubectl commands, analyze pod logs/events/resources, generate and validate manifests, and debug cluster issues.

Kumo development assistant for MySQL database management tool. Use when working on Kumo features, understanding architecture, writing tests, or navigating the codebase. Helps with React components, API endpoints, database features, and Electron app development.

Kubernetes native configuration management with Kustomize. Use for environment-specific configs, resource patching, manifest organization, multi-environment deployments, and GitOps workflows. Triggers: kustomize, kustomization, overlay, base, patch, strategic merge, json patch, json6902, configmap generator, secret generator, namespace, namePrefix, nameSuffix, commonLabels, commonAnnotations, component, transformer, replacement, multi-environment, dev/staging/prod configs, k8s manifest management.

Write effective, type-safe Kysely queries for PostgreSQL. This skill should be used when working in Node.js/TypeScript backends with Kysely installed, covering query patterns, migrations, type generation, and common pitfalls to avoid.

Orchestrate the complete LA-Bench experimental procedure generation workflow from JSONL input to validated output. This skill should be used when processing LA-Bench format experimental data to generate and validate detailed experimental procedures. It coordinates parsing, reference fetching, procedure generation, and quality validation with 10-point scoring.

Provides lab notebook creation and management for individual bioinformatics experiments. Supports both Jupyter notebooks (.ipynb) for Python-based experiments and Markdown (.md) for non-Python experim

Analyze construction labor productivity using data analytics. Track worker performance, identify inefficiencies, predict resource needs, and optimize crew allocation for maximum efficiency.

Systematic optimization hunter for lading. Finds memory optimizations AND bugs - both are valuable. Run /lading-optimize-validate when bugs are discovered.

Monitor protocol-wide KPIs, identify TVL trends, generate executive summaries, and flag at-risk vaults for the internal operations team. Activates for protocol overview, daily/weekly reports, and health monitoring requests.

Design systems using Butler Lampson's principles of abstraction, interfaces, and practical wisdom. Emphasizes clean abstractions, security foundations, and time-tested design hints. Use when making architectural decisions, designing APIs, or building systems that must evolve over decades.

Multi-parcel corridor acquisition budgeting and phasing (10-100+ parcels). Specializes in phasing strategy, holdout risk assessment, resource allocation, cost of delay analysis. Use for transit corridors, highway expansion, transmission lines, pipelines, mixed-use development requiring systematic acquisition planning

This skill provides a clean session-ending protocol for software development work. "Landing the plane" ensures that when a coding session ends, all work is properly committed, tested, tracked in the i

Generate structured landing page copy OR audit existing pages for conversion optimization. Framework-agnostic - adapts approach based on awareness level and offer type.

Write high-converting landing page copy using proven frameworks like PAS (Problem-Agitate-Solution), AIDA, and StoryBrand. Creates headlines, value propositions, CTAs, and full page sections optimized for conversion. Use when users need landing page copy, sales page content, or marketing website text.

Create high-converting landing pages with optimized copy, structure, and design elements. Generates complete pages for lead generation, product launches, event registration, and sales campaigns with conversion-focused layouts.

Senior landing page designer specializing in high-converting pages for SaaS, apps, and services. Use when building landing pages, hero sections, pricing pages, or any conversion-focused marketing page. Always researches current best practices via Perplexity before designing. Includes AI slop detection and cleaning.

Comprehensive guide for creating effective landing pages using Next.js or React. This skill should be used when users request to create landing pages, marketing pages, or product pages that require the 11 essential elements for high-converting landing pages. Specifically designed for Next.js 14+ App Router with ShadCN UI components.

Optimize landing pages for maximum conversion through copy, design, and UX improvements

Foundational Erlang patterns covering OTP behaviors, fault-tolerant systems, distributed computing, pattern matching, processes, and supervision trees. Use when writing Erlang code, building concurrent systems, working with OTP frameworks, or developing distributed fault-tolerant applications. This is the entry point for Erlang development.

Foundational Rust patterns covering core syntax, traits, generics, lifetimes, and common idioms. Use when writing Rust code, understanding ownership basics, working with Option/Result, or needing guidance on which specialized Rust skill to use. This is the entry point for Rust development.

Building LLM applications with LangChain - chains, agents, RAG, memory, and production patterns for AI-powered apps.

Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates.

Extracts traces, observations, and metrics from Langfuse Cloud (EU) API for debugging, telemetry analysis, and regulatory audit trails. Generates ALCOA+ compliant reports, exports to pandas DataFrame, and supports time-range/user/session filtering. Use when investigating production issues, generating compliance documentation, or analyzing LLM costs and performance. MUST BE USED for pharmaceutical audit trail generation requiring GAMP-5 traceability.

Analyzes user feedback from Langfuse annotation queues and generates surgical recommendations for template.yaml, style.yaml, and tools.yaml

Replaces Phoenix observability with Langfuse Cloud (EU) traceability for pharmaceutical test generation. Adds @observe decorators to existing code, configures LlamaIndex callbacks, propagates GAMP-5 compliance attributes, and removes Phoenix dependencies. Use PROACTIVELY when implementing Task 2.3 (LangFuse setup), migrating observability systems, or ensuring ALCOA+ trace attribution. MUST BE USED for pharmaceutical compliance monitoring requiring persistent cloud storage.

Analyzes writing-ecosystem traces to fix style.yaml, template.yaml, and tools.yaml based on quality issues found in production runs.

Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).