Complete markdown guide for Universal Notion Uploader. Covers 14 element types (headings, callouts, highlights, toggles, embeds, columns, databases), upload modes, and API constraints.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →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.
>
Kubernetes deployment expert for Apache Kafka using Helm, Strimzi, and Confluent operators. Use when deploying Kafka on K8s, configuring StatefulSets, or choosing between Kafka operators for production.
Complete guide for Apache Kafka stream processing including producers, consumers, Kafka Streams, connectors, schema registry, and production deployment
kamailio-config
Kanban Agent role. USE WHEN user says /kanban-agent OR wants to work on assigned kanban tasks as an agent.
Kanban methodology including boards, WIP limits, flow metrics, and continuous delivery. Activate for Kanban boards, workflow visualization, and lean project management.
Manage Kapso workflows, AI agents, functions, and databases. Edit workflow graphs, configure triggers, manage executions, create functions, and perform database CRUD. Use when building automations, editing workflows, or managing project data.
Structure stories around essential emotional moments using Rodriguez's approach integrated with elemental genres. Use when plotting feels mechanical, when emotional beats need defining, or when building stories from vivid scenes rather than plot outlines.
Use when creating FastAPI endpoints, implementing JWT authentication, handling encrypted payloads, adding audit logging, or applying OWASP security patterns to KeyArc API endpoints.
Use when implementing client-side encryption, master key derivation, vault key management, secret storage, or any cryptographic operation for KeyArc. Ensures server never sees plaintext secrets or passwords.
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
Kommo CRM API via curl. Use this skill for managing leads, contacts, companies, tasks, and sales pipelines.
Use this Skill when working in the Connect monorepo and needing to extract app code into proper Nx libraries.
Kubernetes deployment strategies and workload patterns for production-grade applications. Use when deploying to Kubernetes, implementing rollout strategies, or designing cloud-native application architectures.
Expert-level Kubernetes cluster management, deployment strategies, networking, and production operations
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
Lambda Calculus Skill
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.
Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL 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.
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.
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic graph structure. Covers state schemas, reducers, node functions, edge types (normal, conditional), and graph compilation.
Prevent silent failures and catch implementation errors in LangGraph pipelines before runtime.
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state management. Use when working with LangGraph, building agent workflows, state machines, or complex multi-step LLM applications. Requires langgraph, langchain-core packages.
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
LangGraph skill for building stateful agent graphs, subgraphs, checkpoints, conditional flows, parallel execution, streaming, and multi-agent orchestration.
Hybrid language detection algorithm for Vigil Guard v2.0.0. Use for language-detector Flask API, entity-based hints, Polish PESEL/NIP detection, 3-branch pipeline integration, accuracy troubleshooting, and langdetect integration.
Design evolving language systems for fictional worlds. Use when creating language families, dialects, linguistic history, or when language should reflect cultural and historical development.
Transform "I want to learn X" into actionable learning roadmaps using metalearning principles: identify the critical 20%, build expert vocabulary, sequence logically (why before how), prioritize curre
Master Nexus philosophy and best practices. Load when user mentions: learn nexus, nexus tutorial, system mastery, nexus best practices, how nexus works, nexus philosophy, nexus design, understand nexus, nexus deep dive. 15-18 min.
Transform legacy codebases into AI-ready projects by generating Claude Code configurations.
Use when concluding significant work to extract reusable patterns and anti-patterns
Orchestrates full decomposition (scope → Epics → Stories) by delegating ln-210 → ln-220. Sequential Story decomposition per Epic. Epic 0 for Infrastructure.
>
CRISPR library design for genetic screens. Covers sgRNA selection, library composition, control design, and oligo ordering. Use when designing custom sgRNA libraries for knockout, activation, or interference screens.
KINTSUGI deconvolution: True lightsheet PSF calculation to fix horizontal banding artifacts. Trigger: deconvolution artifacts, horizontal banding, PSF issues, fcyl, slitwidth, lightsheet, LsDeconv.
Write titles that describe the problem or outcome:
Creates reference documentation structure + smart documents (ADRs/Guides/Manuals) based on TECH_STACK. Only creates justified documents (nontrivial technology choices). L2 Worker in ln-100-documents-pipeline.
Configure and deploy load balancers (HAProxy, AWS ELB/ALB/NLB) for distributing traffic, session management, and high availability.
When distributing traffic across multiple servers or regions, use this skill to select and configure the appropriate load balancing solution (L4/L7, cloud-managed, self-managed, or Kubernetes ingress) with proper health checks and session management.
Load conductor workflow state from previous session and determine resumption point by analyzing git state and saved JSON state file
local-finetune
Searches logs by content keywords, patterns, and filters with context extraction
This skill provides guidance for analyzing log files across date ranges and producing summary statistics. Use when tasks involve parsing log files, counting log entries by severity (ERROR, WARNING, INFO), aggregating by date ranges (today, last N days, month-to-date), or producing CSV reports from log data.