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Found 1,956 Skills
Use this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: "高级期权", "波动率套利", "日历价差", "对角价差", "动态对冲", "偏斜交易", "SABR", "Long Vol", "Short Vol", "Delta对冲", "伽马交易", "高階期權", "波動率套利", "日曆價差", "對角價差", "動態對沖", "偏斜交易", "advanced options", "calendar spread", "diagonal spread", "volatility arbitrage", "long vol short vol", "skew trade", "dynamic delta hedging", "gamma scalping", "SABR model".
Baklib Site Theme (Template) Development: Liquid directory and naming conventions, objects and directives/filters, static page URLs, seeds and migrations; including 'Create Theme Scaffold' (themes/ directory and minimal files) and 'Reference Site Cloning Workflow' (requires confirmation gates and quality checklists). Used when users write or modify .liquid files, create new templates, clone reference sites, or troubleshoot template syntax and variables; detailed specifications can be found in references/.
Pre-submission validation audit for arXiv papers across TeX source, PDF, figures, metadata, bibliography, file organization, and common-error scans. Produces pass/fail report with specific fixes per arXiv requirement. Triggers on: "check my arXiv submission", "validate for arXiv", "arXiv preflight", "ready for arXiv", "arxiv check", "arxiv submission readiness". Companion to manuscript-review (prose), manuscript-provenance (code), arxiv-figures, arxiv-package.
Builds React Native Nitro Modules from scratch in a monorepo. Scaffolds with Nitrogen, authors HybridObject TypeScript specs, generates native boilerplate, implements in C++/Swift/Kotlin, wires an example app, and prepares for npm publishing. Use when creating a new Nitro Module, implementing native functionality via HybridObjects, or setting up the nitrogen codegen pipeline.
Turns a codebase into EventCatalog documentation through an evidence-based interview. Scans the code first, proposes an architectural model (domains, services, messages, channels), grills the user on the structural decisions, produces a reviewable plan file, then hands off to catalog-documentation-creator. Use when user says "document my codebase in EventCatalog", "turn this repo into a catalog", "model my code as a catalog", "grill me on my architecture", "update my catalog from the code", "reconcile my catalog with my code", or "I don't know where to start documenting this codebase". Works for brand-new catalogs AND for updating existing catalogs that have drifted from the code.
Use when the user wants to build a Python Kafka producer or consumer, add Schema Registry to existing Python code, migrate from raw JSON to schema-backed serialization, or scaffold a confluent-kafka-python project for Confluent Cloud, local Docker, or WarpStream. Also use when user wants to optimize Python Kafka client configuration for WarpStream.
OpenClaw security scanning skill that performs comprehensive system security audits and generates human-friendly reports
Use this skill when the user says "fill in data", "supplement data", "sync data", "update stats sheet", "fill in the data", or "sync". The core action is **batch sync**: Scan `01-Content Production/Pending Content/Short & Mid-length Videos/`, write all videos with complete YAML data to the stats sheet in one go and archive them to `02-Published Content/`. The data source is the YAML within the script files themselves (users have already filled in platform data in the files in advance), so there's no need for users to report numbers again in the conversation. Do NOT trigger this skill for: pattern analysis/review/viral content analysis (use li-analyzer), recording new topics (use li-recorder). Use when the user wants to "sync platform data" or "fill in stats" — the skill scans the pending folder and processes every video whose YAML is complete.
Security scanning via clearwing — source code vulnerability hunting and network pentesting.
Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.
Lift a proven skill from a host repo (e.g. your OpenClaw fork) back into gbrain's bundle so other clients can scaffold it. Editorial workflow: the CLI does the file copy + privacy lint; this skill drives the judgment-heavy genericization (scrub real names, generalize triggers, lift fork-specific conventions to references).