linkding is a minimal, fast, self-hosted bookmark manager with a full REST API, tag-based organization, automatic metadata extraction, web archiving, browser extensions, and SSO…
Linker script skill for embedded bare-metal targets. Use when writing or modifying GNU ld linker scripts, placing code and data in specific flash or RAM regions, understanding VMA…
Linkerd2 lightweight service mesh for automatic mTLS, traffic metrics, and certificate rotation. Zero-config mTLS, per-route metrics, traffic splits, retries, and timeouts for…
LinkFox 包装的领星（Lingxing）ERP 技能「linkfox-lingxing-erp」：由 LinkFox Skills 仓库收录分发，封装领星官方 OpenAPI 文档与脚本用法，底层仍直连 openapi.lingxing.com（非 LinkFox 自建网关）。覆盖约 373 个接口场景，含广告报表 SP/SB/SD、订单与…
Temu 全球站电商合规（Compliance）API，经 LinkFox 网关转发 Partner Global 合规相关 OpenAPI（bg.compliance.*、bg.arbok.open.*、bg.flash.open.* 等，共 9 个接口）。当用户提到 Temu Global…
Optimize Linktree API integration performance with caching, batching, and rate limit strategies. Use when Linktree API calls are slow, hitting rate limits, or profile pages serve…
Reference Architecture for Linktree. Trigger: "linktree reference architecture".
Run chart-focused lint and install checks so changed Helm charts are validated before release or merge.
Run ansible-lint against playbooks, roles, and collections so risky patterns and common mistakes are caught before automation is merged or executed.
Expert assistant for analyzing and fixing linting and formatting issues in the KR92 Bible Voice project using Biome and TypeScript.
Validate workflow syntax, expressions, and shell steps before broken GitHub Actions changes reach CI.
Inspect a live Kubernetes cluster for unhealthy resource settings, missing probes, and other operational smells.
Use when adding or enforcing lint rules as part of a test or verification plan. Extends testing-strategy with lint-specific guidance: rule selection, gate placement, failure…
Catch locking, indexing, and schema-change hazards in PostgreSQL migration SQL before a review turns into downtime.
Check Terraform before plan or apply so invalid attributes, provider-specific mistakes, and custom rule violations are caught early.
Check certificates and precertificates for Web PKI standards violations before CA issuance, trust-store submission, or deployment.
Apply linuxlewis's code review style to pull requests, local diffs, or proposed code changes. Use when asked to review code the way linuxlewis would, emulate Sam Bolgert's review…
Development, architecture, and maintenance of the Liora women's health Flutter application. Use for cycle tracking logic, Firebase integration, and UI features.
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in SwiftUI UI, refactor to Liquid Glass, or review Liquid…
Ingest a Slack channel into sanitized source notes via a user token. Use only when lisa-wiki-ingest routes to the slack connector AND the run carries explicit external-write…
버그 이슈 조회 (Supabase DB 기반). Use when (1) "버그 이슈 목록", (2) "버그 확인", (3) "버그 조회", (4) 버그 이슈 필터링.
Analyzes source code repositories using list-codes and ghq. Use this when the user asks to analyze, review, explain, or refactor a codebase (local or remote).
Displays the roster of architecture team members with their specialties and expertise areas. Use when the user asks "Who's on the architecture team?", "List architecture members",…
List the user's saved render profiles with their codec, resolution, and rate-control summary. Use when the user says "list my render profiles", "what presets do I have", "show me…
Use when designing or reviewing list views, compact layouts, highlights panels, and search-result presentation so users can scan, find, and act on records quickly across desktop…
Subscribe to and listen for Tauri v2 events in the frontend via @tauri-apps/api/event, including typed handlers and cleanup.
Add the Lite-Basic (Tier 2) sprite atlas to an EXISTING Codogotchi pet that already has a Codex `spritesheet.webp`.
Testing patterns for litefs-py and litefs-django. Use when writing tests, setting up fixtures, understanding test organization, or configuring pytest marks.
Unified LLM API with LiteLLM. Call 100+ LLM providers with one interface. Use for multi-provider AI, cost optimization, fallbacks, and LLM gateway deployment.
When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers.
Auto-activate for guards=, Guard, ASGIConnection, JWTAuth, JWTCookieAuth, SessionAuth, role or tenant checks, or WebSocket auth. Not for frontend route protection.
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).
Run a senior-level Java/Spring backend live-coding interview practice, guiding the user with Socratic prompts, strict code review (readability, edge cases, data structure — from…
Symfony UX LiveComponent for dynamic server-rendered UI. Use when building interactive components that re-render via AJAX, real-time forms, data binding, live validation, or…
Delivering real-time updates to users via WebSocket, SSE, or Push API for live notification systems with proper architecture, queuing, and delivery mechanisms.
Use when building real-service end-to-end tests with fixtures, cleanup, rate limits, and evidence. Triggers:
Génère un site communautaire en temps réel à partir des contributions du chat Twitch. Chaque contribution = code généré + git commit + push + auto-deploy Cloudflare Pages.
Real-time task progress tracking with live push notifications. MANDATORY for ALL multi-step tasks (>30s or >2 tool calls).
Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator.
Build and review production-grade web and mobile frontends using LiveKit with Next.js. Covers real-time video/audio/data communication, WebRTC connections, track management, and…
LiveKit is an open-source, scalable WebRTC-based real-time communication server written in Go. It provides multi-user conferencing, streaming, and data channels with client SDKs…
Build voice AI agents with LiveKit Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent…
Reviews Phoenix LiveView code for lifecycle patterns, assigns/streams usage, components, and security. Use when reviewing LiveView modules, .heex templates, or LiveComponents.
Build LiveView: async data (assign_async), PubSub (check connected?), phx-change events, form components/modals/uploads, streams for lists, live_patch.
Principles for writing simple, maintainable Laravel/Livewire code. Use when writing Livewire components, tests, or Blade views. Focuses on avoiding over-engineering.
Navigate and load project living documentation for context from .specweave/docs/internal/. Use when implementing features and needing project context, referencing ADRs for design…
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable — from…
Automates LLDB debugging sessions with scripted breakpoint management and expression evaluation. Uses the LLDB Python SB API (lldb.SBDebugger, SBTarget, SBProcess) for…
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses, token management, retry logic, and error handling.
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring.
Expert LLM architect specializing in large language model architecture, deployment, and optimization.
Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastructure.
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost…
Implement or refactor a reusable LLM client layer for text-only or multimodal projects. Use when a project needs one final repo-local client module, OpenAI-compatible provider…
Reduce LLM API costs without sacrificing quality. Covers prompt caching (Anthropic), local response caching, prompt compression, debouncing triggers, and cost analysis.
Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features.
Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues.
当需要部署或训练 LLM/VLM 时使用；覆盖 vLLM OpenAI-compatible 服务、多模态输入限制、Qwen3.5 工具调用、thinking/reasoning 控制、CUDA Graph 策略，以及 ms-swift SFT/DPO/GRPO full training、数据校验、显存排错和训练检查。
LLM evaluation harness for accuracy benchmarking. MMLU/HumanEval/MATH eval runners, model-graded scoring, prompt regression testing, and per-skill accuracy tracking.