Discover and analyze lien positions from AcclaimWeb and RealTDM to detect HOA foreclosures and senior mortgage survival

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KINTSUGI deconvolution: True lightsheet PSF calculation to fix horizontal banding artifacts. Trigger: deconvolution artifacts, horizontal banding, PSF issues, fcyl, slitwidth, lightsheet, LsDeconv.

Provides comprehensive guidance for Lime ECharts including chart creation, configuration, data visualization, and interactive charts. Use when the user asks about Lime ECharts, needs to create charts, visualize data, or work with ECharts features.

Use when recalling conversations from Limitless Pendant, finding what was discussed in meetings, searching lifelogs, or answering 'what did I say about' questions

Analyzes dbt model dependencies, traces upstream sources and downstream consumers, identifies circular dependencies, and visualizes data lineage. Use when user asks about model dependencies, wants to understand data flow, needs impact analysis, or wants to trace where data comes from or goes to.

Extended operations for Linear: milestones and issue image downloads.

Write titles that describe the problem or outcome:

快速在新 Next.js 项目中集成 LangGraph 后端（localhost:2024），创建极简的 /chat 页面，支持真正的流式 AI 对话。适用于需要快速搭建聊天界面的场景：1) 集成 LangGraph Studio 本地部署的后端，2) 创建支持实时流式响应的聊天页面，3) 使用 LangGraph SDK 进行客户端直接连接，4) 实现优雅的 UI 交互（避免双气泡、流畅的加载动画）。

Calculate linkage disequilibrium statistics (r², D'), perform LD pruning for population structure analysis, identify haplotype blocks, and visualize LD patterns using PLINK, scikit-allel, and LDBlockShow. Use when calculating LD or pruning variants.

Call LinkAI applications and workflows. Use bash command to execute like 'bash <base_dir>/scripts/call.sh <app_code> <question>'.

linking-hms-to-hecras

Unix/Linux design principles for CLI tools and system architecture.

Displays all architecture team members and their expertise areas.

Use when animating lists, grids, tables, or collections of items to create smooth ordering, filtering, and loading states

This skill enables systematic academic literature search and analysis for creating high-quality WeChat content. It provides workflows for finding relevant research papers, extracting key insights, and

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.

LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.

Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.

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.

Orchestrates task operations. Analyzes Story, builds optimal plan (1-6 implementation tasks), delegates to ln-301-task-creator (CREATE/ADD) or ln-302-task-replanner (REPLAN). Auto-discovers team ID.

Load architecture principles and core conventions for grounding work against project standards - simple context loading for all workflow stages

Configure and deploy load balancers (HAProxy, AWS ELB/ALB/NLB) for distributing traffic, session management, and high availability.

负载均衡配置

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

Load, activate, and optionally install an AI skill from a .skill file. Use this skill when the user wants to load, activate, or use a skill file. The user can invoke this skill with slash command `/load-skill [ --install | -i ] SKILLFILE`, where SKILLFILE is the path to a .skill file.

Bootstrap skill loader for instance startup. Pulls fresh skills from plurigrid/asi and loads GF(3)-balanced startup triads. MUST run at beginning of every new instance.

Imported skill load from langchain

Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.

加载并预处理保险保单周度数据，支持智能周期检测、多周数据加载、数据验证和清洗。在开始任何保险数据分析任务时使用。

Maintain user confidence when content isn't immediately available.

Load pre-existing Seurat objects into the immunopipe pipeline instead of starting from raw count matrices via SampleInfo. This enables analysis on already processed single-cell RNA-seq data stored in Seurat R objects.

LobeTTS - High-quality TypeScript TTS/STT toolkit with EdgeSpeech, Microsoft, OpenAI engines, React hooks, audio visualization components, and both server and browser support

Use when user mentions bookmarks, knowledge management, notes, saving URLs, or taking screenshots - provides quick reference for km (Zettelkasten notes), bookmark (URL manager), and shot-scraper (automated website screenshots) CLI tools installed on this system

Development server and build commands for Oak AI project including running dev server on port 2525, production and development builds, and running scripts with environment variables. Use when starting local development, building the project, or running scripts.

local-finetune

Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes.

Calculate LODS (Logistic Organ Dysfunction Score) for ICU patients in MIMIC-IV. Use for organ dysfunction assessment across 6 systems with weighted scoring.

log-forensics

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.

Analyze system and application log data from sosreport archives, extracting error patterns, kernel panics, OOM events, service failures, and application crashes from journald logs and traditional log files within the sosreport directory structure to identify root causes of system failures and issues

Essential knowledge about Logseq DB (database) graphs. Use this skill when working with Logseq DB to ensure accurate understanding of nodes, properties, tags, tasks, and queries. This corrects common misconceptions from file-based Logseq that do NOT apply to DB graphs.

Provide commands for interacting with a local Logseq instance through its Plugin API. Use for creating pages, inserting blocks, querying the graph database, managing tasks, retrieving content, or automating workflows in Logseq. Only works with a locally running instance with the API enabled; default port or set path expected for [$API accessible skill].

Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.

name: long-game-talent-recruiting

Analyzes long straddle volatility plays with ATM call and put at same strike. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting large price movement in either direction, analyzing earnings plays, evaluating volatility opportunities, or assessing binary event outcomes on high IV stocks.

Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lower-cost alternative to straddle, analyzing high-volatility events, or evaluating wide-range breakout opportunities on stocks with elevated IV.