Expert agent for Kaggle API authentication, dataset management, and running Kaggle notebooks on Texas Tech HPCC. Specializes in connecting Jupyter notebooks to Kaggle API and submitting to code competitions. Always checks VPN connection first before HPCC operations.

Kani is a bit-precise model checker for Rust that proves properties about code rather than just testing examples. Unlike tests that check specific inputs, Kani exhaustively verifies all possible input

Expert in Kanidm modern identity management system specializing in user/group management, OAuth2/OIDC, LDAP, RADIUS, SSH key management, WebAuthn, and MFA. Deep expertise in secure authentication flows, credential policies, access control, and platform integrations. Use when implementing identity management, SSO, authentication systems, or securing access to infrastructure.

Operate and troubleshoot Kapso projects. Manage webhooks, debug message delivery, inspect API errors, and run health checks. Use when diagnosing issues, setting up webhooks, or investigating message failures.

Configure Karabiner-Elements keyboard remapping using Goku EDN syntax. Use when creating keybindings, layers, simlayers, app-specific shortcuts, or modifying karabiner.edn.

Creates Karibu unit tests for Vaadin views.

Validates KCL Crossplane compositions with comprehensive checks including formatting, syntax validation, and rendering tests. Automatically activates when working with KCL files, Crossplane compositions, or before commits touching infrastructure/base/crossplane/configuration/. Prevents CI failures and catches critical bugs like the mutation pattern.

Associative memory for reflection and skillful action

This skill should be used when performing fast iterative kernel debugging, running time-bound kernel sessions to detect specific log signals or test kernel behavior. Use for rapid feedback cycles during kernel development, boot sequence analysis, or feature verification.

Multi-tenant Keycloak authentication theming with realm-specific design systems

Builds content APIs with KeystoneJS, the Node.js headless CMS with GraphQL. Use when creating admin UIs and APIs with automatic CRUD operations, relationships, access control, and TypeScript support.

Use when users need help with kube-hetzner configuration, debugging, or questions - acts as an intelligent assistant with live repo access

Use when defining stopping rules for projects, avoiding sunk cost fallacy, setting objective exit criteria, deciding whether to continue/pivot/kill initiatives, or when users mention kill criteria, exit ramps, stopping rules, go/no-go decisions, project termination, sunk costs, or need disciplined decision-making about when to quit.

Expert KillBill administrator for managing billing, subscriptions, invoices, and overdue states. Provides ready-to-use commands via Traefik DNS for tenant management, catalog uploads, test clock manipulation, and overdue testing workflows.

Persistent graph-based memory for AI agents via KIP (Knowledge Interaction Protocol). Provides retrieval-first memory operations (KQL), durable writes (KML), schema discovery (META), and memory hygiene patterns. Use whenever the agent needs to consult or update persistent memory, especially for: remembering user preferences/identity/relationships, storing conversation events, answering questions that depend on past sessions, and any task involving `execute_kip`.

AWS Kiro specification patterns and synchronization. Use when working with Kiro IDE, syncing requirements.md/design.md/tasks.md files, or configuring steering files for AI agent context.

kiro-project-scaffolder

Transform ideas into comprehensive specifications, design documents, and actionable implementation plans.

Build ClaudeKit Marketing components - skills, agents, commands, workflows. Use when creating new automation, extending marketing capabilities, or understanding kit structure. Includes templates, examples, and init scripts.

Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.

Table-driven testing patterns using @kitz/test. Triggers on creating test cases, parameterized tests, or when writing .test.ts files.

Master the know CLI tool for managing specification graphs. Use when working with spec-graph.json, understanding graph structure, querying entities/references/meta, managing dependencies, or learning graph architecture. Teaches dependency rules, entity types, and graph operations.

Delegates knowledge bank lookups to Explore subagents with reflections-first strategy that learns from past mistakes. Checks /reflections/ directory before documentation to extract documented failures to avoid and proven approaches to apply. Automatically triggers when user mentions services ([project-a], [project-b], [project-c], Claude Code), requests investigations, or queries past lessons. Returns structured, actionable insights achieving 69-94% context reduction. (project, gitignored)

4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.

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Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through knowledge management.

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

Extract API request/response schema from Korean Public Data Portal (data.go.kr) documentation pages and generate structured JSON representation

Context-efficient codebase exploration using AST analysis. Use when exploring Kosmos architecture, understanding code structure, or preparing documentation for AI programmers. Triggers: xray, map structure, skeleton, interface, architecture, explore kosmos, warm start, token budget, context compression.

This skill should be used when you need to know what members, methods, or extensions are available on Kotlin types. It queries autocomplete metadata generated by the kotlin-autocomplete-gradle-plugin.

Use when building Kotlin applications requiring coroutines, multiplatform development, or Android with Compose. Invoke for Flow API, KMP projects, Ktor servers, DSL design, sealed classes.

Kotlin testing with JUnit 5, MockK, Spring test slices, and Testcontainers. Provides mocking patterns, test slice selection, and TDD workflow for Spring Boot + Kotlin. Use when writing tests for Kotlin/Spring code, setting up test infrastructure, or debugging test failures.

Smart Kotlin unit testing with auto-detection, coverage analysis, and AI edge cases. Use when generating tests for biz/ layer classes, analyzing test coverage gaps, or discovering edge cases.

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.

K-Scale Labs robotics skill collection - unified index for humanoid robot development, RL training, sim-to-real transfer, and deployment. Aggregates 9 specialized skills with GF(3) triadic organization.

Identifies and cleans up outdated Kubernetes deployments based on namespace patterns and application version age. Discovers deployments, analyzes release dates from annotations, performs cleanup actions, and notifies stakeholders.

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.

Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.

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

Use when deploying or managing Kubernetes workloads requiring cluster configuration, security hardening, or troubleshooting. Invoke for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization.

Troubleshoot and manage Kubernetes clusters, including resource inspection, debugging, pod logs, events, and cluster operations. Use when the user needs to diagnose issues, inspect workloads, analyze pod failures, or perform Kubernetes cluster operations.

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.

Use when generating ConfigMaps and Secrets with Kustomize for Kubernetes configuration management.

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.

Expert system for investigating CockroachDB test failures, especially KV failures.

Parse LA-Bench format JSONL files to extract experimental protocol data by ID. This skill should be used when working with LA-Bench datasets to retrieve structured experimental instructions, materials, protocol steps, expected outcomes, and references for a specific experiment entry.

This skill should be used when generating detailed experimental procedures from LA-Bench format JSONL files. It orchestrates multiple subagents to parse input data, fetch reference materials, generate procedures, validate outputs, refine results, and produce final formatted outputs. Triggered by requests to process LA-Bench data or generate experimental protocols from data/public_test.jsonl or data/private_test_input.jsonl files.

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.

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.

Use lancer CLI for LanceDB semantic and multi-modal search with document ingestion, vector embeddings, and MCP server integration for knowledge retrieval.