Execute the core development workflow for a single, atomic GitHub issue within the SynthesisFlow methodology. This skill ensures all necessary context is loaded before any code is written, work is iso

Extracts Issue ID from the current branch name. Use this skill when you need to determine the Issue number associated with the current work context.

Create standalone work items (TASK, BUG, or SPIKE) with AI-assisted type detection. Use when you need to track work that needs doing, exploration needed, or something broken.

Discover and manage indie games on itch.io, track jams, and support creators

Use when Java Streams API for functional-style data processing. Use when processing collections with streams.

This skill should be used when the user asks to search/send/draft email, check calendar, create events, schedule meetings, find/upload/share Drive files, read/edit Google Docs, read spreadsheet data, send texts/iMessages, send WhatsApp messages, send Signal messages, check messages, or create reminders. Manages Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, iMessage, WhatsApp, Signal, and Apple Reminders.

Convert Jenkins pipelines (Jenkinsfiles) to GitHub Actions workflows. Use when migrating CI/CD from Jenkins to GitHub Actions, or when user provides a Jenkinsfile and wants a GHA workflow.

Analyze job postings for requirements, culture, and values - outputs structured analysis matching lexicon categories for comparison and gap analysis

name: John the Ripper Password Cracking

Configuration file parsing patterns for bash scripts (INI, key=value, JSON)

Best practices for Windows Batch scripts (.bat). Covers encoding, path handling, variables, error management, and common pitfalls.

Complete markdown guide for Universal Notion Uploader. Covers 14 element types (headings, callouts, highlights, toggles, embeds, columns, databases), upload modes, and API constraints.

Check which Claude skills are loaded globally and project-level. Displays loaded skills by category (Hostinger, Anthropic, custom), counts, and helps troubleshoot missing skills.

Apache Kafka architecture expert for cluster design, capacity planning, and high availability. Use when designing Kafka clusters, choosing partition strategies, or sizing brokers for production workloads.

Complete guide for Apache Kafka stream processing including producers, consumers, Kafka Streams, connectors, schema registry, and production deployment

Documentation for integrating with the Kalshi API, covering authentication, market fetching, ticker parsing, and bet placement.

kamailio-config

Kanban methodology including boards, WIP limits, flow metrics, and continuous delivery. Activate for Kanban boards, workflow visualization, and lean project management.

Create emotionally compelling murder mystery narratives using Danpyeonsun methodology and K-drama storytelling principles. Designs 3-act dramatic structures, complex morally-gray characters, bittersweet endings, and scene-by-scene emotional beats. Use when writing scenarios for detective games, designing murder mystery plots, or creating K-drama style narratives with moral complexity.

Эксперт AWS Kinesis. Используй для stream processing, real-time data и Kinesis patterns.

Exposes Kirby content to headless clients using the API, KQL, and JSON representations. Use when building API endpoints, KQL queries, or headless frontends.

Knative serverless platform for Kubernetes. Use when deploying serverless workloads, configuring autoscaling (scale-to-zero), event-driven architectures, traffic management (blue-green, canary), CloudEvents routing, Brokers/Triggers/Sources, or working with Knative Serving/Eventing/Functions. Covers installation, networking (Kourier/Istio/Contour), and troubleshooting.

Build frameworks from scattered insights across all braindumps and notes

Designs and builds knowledge graphs to represent entities, relationships, and semantic connections, with query patterns for Neo4j, RDF, and property graphs.

Patterns for ingesting knowledge into vector databases and RAG systems

Extracts knowledge from Amp threads and updates project docs. Use when asked to document recent work, sync docs after an epic, summarize what changed, or update AGENTS.md from thread history.

Kommo CRM API via curl. Use this skill for managing leads, contacts, companies, tasks, and sales pipelines.

Implements event-driven architecture with Watermill pub/sub (RabbitMQ/AMQP/message queue) for go-kratos microservices. Creates publisher/subscriber wrappers, event handlers, worker services with context propagation (request_id, correlation_id), and RabbitMQ/AMQP integration. Use when implementing pub/sub patterns, creating message queues, adding event handlers, building worker services for async processing, or setting up background jobs.

Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns

Manage manifests, Helm charts, autoscaling, and disruption budgets.

Kubernetes deployment strategies and workload patterns for production-grade applications. Use when deploying to Kubernetes, implementing rollout strategies, or designing cloud-native application architectures.

Kubernetes deployment patterns with Helm charts. Covers deployments, services, ConfigMaps, Secrets, Dapr sidecar injection, health probes, and resource management.

Deploy and manage Kubernetes applications with Helm charts. Covers K8s manifests, kubectl, Kustomize, RBAC, and container orchestration. Use for container deployments, microservices, and cloud-native applications.

Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations

Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails

kubesearch

Use when finding new AI agent skills, discovering capabilities, installing skills from GitHub, searching skill marketplaces, or expanding what Claude can do - like Neo downloading martial arts in The Matrix

L-Space Skill: The Library of All Libraries

L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration

Clerk for reserve reduction, trespass, survey errors, and railway takings; use when processing the Land_Reduction_Trespass queue.

Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs. This is the entry point for GraphQL development.

Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.

AI agent with retrieval tool for document Q&A using RAG and LangGraph.

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

Complete guide for building agents and workflows in LangConfig. Use when users need help configuring nodes, connecting agents, setting up tools, or designing multi-agent systems within the LangConfig platform.

Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for documentation, extracts metrics for monitoring, navigates trace details for investigation, and handles authentication. Use when documenting workflows, creating compliance screenshots, monitoring dashboard metrics, or investigating traces visually. MUST use Playwright MCP tools (mcp__playwright__*) for browser automation.

Create LangGraph workflows as NestJS applications under apps/langgraph/. Use same webhook pattern as n8n, receive same parameters (taskId, conversationId, userId, provider, model, statusWebhook). Wrap as API agents with request/response transforms. CRITICAL: Status webhook URL must read from environment variables. All endpoints follow A2A protocol.

Prevent silent failures and catch implementation errors in LangGraph pipelines before runtime.