libharness - Test harness and mock infrastructure. createMockStorage, createMockConfig, createMockLogger provide framework mocks.
libperf - Performance testing utilities. benchmark function measures execution time and memory. validateDuration and validateMemory assert performance constraints.
Meta-skill that indexes, optimizes, and auto-generates Claude skills with GitOps automation, OCA GitHub bot integration, and Odoo developer tools.
Knowledge steward for Johnny-Decimal/Zettelkasten Obsidian vaults. Use when managing vault structure, auditing links, cleaning up notes, constructing new vault sections, reviewing…
Plan and review Waitkit library architecture, package boundaries, public exports, TypeScript/tsup output, package metadata, and release impact.
Provides Mermaid diagramming patterns for technical documentation including flowcharts, sequence diagrams, ERDs, class diagrams, state diagrams, Gantt charts, and mindmaps.
Use when writing or reviewing Python that wraps a network service or authors a client SDK: client construction, async lifecycle, granular timeouts, retry policy, idempotency keys,…
Provides guidelines for effective utilization of specific libraries within the project, including axios, js-yaml, mime-types, node-gyp, uuid, and zod.
librel - Release management tools. VersionBumper handles semver version bumping for packages. ChangeDetector identifies changed packages between git commits.
librepl - Interactive REPL utilities. Repl class creates command-line interfaces with custom commands, state persistence, and terminal formatting.
librpc - gRPC framework for microservices. RpcServer and RpcClient provide base classes. loadProto loads protobuf definitions. createClientFactory builds typed service clients.
Build, read, validate, modify SBML biological network models via the libSBML Python API. SBML Levels 1–3, reactions/kinetic laws, species, rules, FBC extension for flux balance,…
libstorage - Storage abstraction layer. createStorage factory returns backend based on environment (local, S3, Supabase).
Navigate lidx's architecture and codebase. Use when designing features, understanding module boundaries, or finding where things live.
Comprehensive development support for LI.FI DEX aggregator including SDK, Widget, and API integration for cross-chain swaps and bridging.
Liftera monorepo architecture patterns and best practices. Trigger: When making cross-app changes, adding new packages/apps, or deciding where code should live in the monorepo.
Complete guide for Light Protocol on Solana - includes ZK Compression for rent-free compressed tokens and PDAs using zero-knowledge proofs, and the Light Token Program for…
Integrates Lighthouse CI for automated performance testing, Core Web Vitals tracking, and regression detection in CI/CD pipelines.
Lighthouse optimization workflow for Next.js using next/image, next/font, script strategy tuning, client bundle reduction, and server/component boundary discipline.
Lighthouse workflow for React + Vite apps with focus on route-level lazy loading, dynamic imports, bundle reduction, hydration cost control, and stable UX semantics.
Lighthouse optimization workflow for static HTML/CSS/JS sites with deterministic fixes for LCP, CLS, script execution, render-blocking resources, and SEO safeguards.
Lighthouse optimization workflow for WordPress with deterministic handling of plugin/theme bloat, render-blocking assets, caching/CDN strategy, and image optimization.
Expert knowledge for real-time and baked lighting in games - from cinematography fundamentals to engine-specific optimization, covering GI, time-of-day, volumetrics, and…
Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs.
Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks.
Use when an AI skill, MCP client, or automation needs browser-based web retrieval, JavaScript page loading, scraping, form interaction, markdown extraction, semantic DOM…
LightRAG is a Python-based retrieval-augmented generation framework that builds knowledge graphs from documents for more connected, contextual retrieval.
Optimized Kubernetes distributions and configurations for resource-constrained edge and IoT deployments
Bridge technical knowledge gaps using adult language — not childish, not jargon-heavy. Produce clear, accessible explanations of any document, concept, policy, architecture, or…
Use when working with `.c4`/`.likec4` files or LikeC4 CLI/config questions where exact DSL/CLI syntax is required, especially for strict command/snippet-first answers,…
Run Claude Code integration tests in isolated Lima VM sandboxes. Use for E2E testing, hook validation, session survival tests, and any scenario requiring isolated Claude execution.
Configure CI/CD pipelines for testing Lindy AI agent integrations. Use when setting up automated testing, configuring GitHub Actions for webhook receiver tests, or validating…
Troubleshoot common Lindy AI agent errors and workflow failures. Use when encountering errors, debugging agent failures, or resolving integration problems.
Comprehensive debugging toolkit for Lindy AI agents. Use when investigating complex agent failures, collecting diagnostics, or preparing support tickets for Lindy support — from…
Comprehensive debugging toolkit for Lindy AI agents. Use when investigating complex issues, collecting diagnostics, or preparing support tickets.
Deploy applications that integrate with Lindy AI agents. Use when deploying webhook receivers, callback handlers, or applications connected to Lindy agents.
Create your first Lindy AI agent with a real trigger and action. Use when starting with Lindy, testing your setup, or learning basic agent workflow patterns.
Create a minimal working Lindy AI agent example. Use when starting a new Lindy integration, testing your setup, or learning basic Lindy API patterns.
Set up local development workflow for testing Lindy AI agent integrations. Use when building webhook receivers, testing agent callbacks, or iterating on Lindy-connected…
Production readiness checklist for Lindy AI agent deployments. Use when preparing agents for production, auditing live agents, or validating go-live readiness.
Manage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls.
Manage and optimize Lindy AI rate limits. Use when hitting rate limits, optimizing API usage, or implementing rate limit handling.
Reference architectures for Lindy AI agent integrations. Use when designing systems, planning multi-agent architectures, or implementing production integration patterns.
Master skill cho dự án Line Script App — web app làm phim dành cho Script Supervisor và đoàn phim độc lập.
Linear issue tracking integration - Create, update, and manage Linear issues and projects using the GraphQL API
Access Linear CRM for issue management, states, and team structures using direct GraphQL scripts. Replaces the unstable MCP server to prevent execution hangs.
Integrate Linear with GitHub Actions CI/CD pipelines. Use when setting up automated testing, PR-to-issue linking, or creating Linear issues from CI failures.
Diagnose and fix common Linear API and SDK errors. Use when encountering Linear API errors, debugging integration issues, or troubleshooting authentication, rate limits, or query…
Issue lifecycle management with Linear: create, update, transition, relate, comment, and organize issues through the SDK and GraphQL API.
Comprehensive debugging toolkit for Linear integrations. Use when setting up logging, tracing API calls, or building debug utilities for Linear.
Deploy Linear-integrated applications and track deployments. Use when deploying to production, linking deploys to issues, or setting up deployment tracking with…
Create your first Linear issue and query using the SDK and GraphQL API. Use when making initial API calls, testing connection, or learning basic Linear CRUD operations.
Set up local Linear development environment and testing workflow. Use when configuring local dev, testing integrations, or setting up a development workflow with Linear webhooks.
Optimize Linear API queries, caching, and batching for performance. Use when improving response times, reducing API calls, or implementing caching strategies for Linear data.
Production readiness checklist for Linear integrations. Use when preparing to deploy, reviewing production requirements, or auditing existing Linear deployments.
Handle Linear API rate limiting, complexity budgets, and quotas. Use when dealing with 429 errors, implementing throttling, or optimizing request patterns to stay within limits.
Production-grade Linear integration architecture patterns. Use when designing system architecture, choosing integration patterns, or reviewing architectural decisions for Linear…
Select and configure linear solvers for Ax=b systems arising in numerical simulations — choose between direct (LU, Cholesky) and iterative (CG, GMRES, BiCGSTAB, MINRES) methods,…
Guides optimal Linear operations usage with caching, performance patterns, and error handling. Auto-activates when implementing CCPM commands that interact with Linear.
Receive and verify Linear webhooks. Use when setting up Linear webhook handlers, debugging Linear signature verification, or handling Linear issue tracking events like Issue,…