Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
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 →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
Look up the time zone of a given city and return the local time.
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.
End-to-end workflow for detecting structural variants from long-read sequencing data. Covers ONT/PacBio alignment with minimap2 and SV calling with Sniffles or cuteSV. Use when detecting structural variants from long reads.
Search Mathlib for lemmas by type signature pattern
Search for Lean 4 and Mathlib theorems, lemmas, and definitions by type signature, name, or subexpression pattern. Use when the user asks to find a theorem, look up a Lean definition, search for lemmas, or needs help discovering Mathlib functions.
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
Identify potential accessibility problems to alternate processing sites in the event of an area-wide disruption or disaster and outlines explicit miti
Molecular dynamics simulation setup, execution, and trajectory analysis
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Deploys Serverless OpenClaw CDK stacks to AWS. Handles SecretsStack parameter injection, full/individual stack deployment, and Docker image push.
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Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.
Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.