Apply production-ready Firecrawl SDK patterns for TypeScript and Python. Use when implementing Firecrawl integrations, building reusable scraping services, or establishing team coding standards for Firecrawl. Trigger with phrases like "firecrawl SDK patterns", "firecrawl best practices", "firecrawl code patterns", "idiomatic firecrawl", "firecrawl wrapper".

jeremylongshore2.0k

フレームワーク内部構造

Klaviyo Deploy Integration

Deploy Klaviyo integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Klaviyo-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy klaviyo", "klaviyo Vercel", "klaviyo production deploy", "klaviyo Cloud Run", "klaviyo Fly.io".

jeremylongshore2.0k

フレームワーク内部構造

Veeva Multi Env Setup

Veeva Vault multi env setup for enterprise operations. Use when implementing advanced Veeva Vault patterns. Trigger: "veeva multi env setup".

jeremylongshore2.0k

フレームワーク内部構造

Veeva Migration Deep Dive

Veeva Vault migration deep dive for enterprise operations. Use when implementing advanced Veeva Vault patterns. Trigger: "veeva migration deep dive".

jeremylongshore2.0k

フレームワーク内部構造

Prometheus Config Generator

Generate prometheus config generator operations. Auto-activating skill for DevOps Advanced. Triggers on: prometheus config generator, prometheus config generator Part of the DevOps Advanced skill category. Use when configuring systems or services. Trigger with phrases like "prometheus config generator", "prometheus generator", "prometheus".

jeremylongshore2.0k

フレームワーク内部構造

Compression Optimizer

Optimize compression optimizer operations. Auto-activating skill for Data Pipelines. Triggers on: compression optimizer, compression optimizer Part of the Data Pipelines skill category. Use when working with compression optimizer functionality. Trigger with phrases like "compression optimizer", "compression optimizer", "compression".

jeremylongshore2.0k

フレームワーク内部構造

Anima Performance Tuning

Optimize Anima code generation performance with caching, parallelism, and output tuning. Use when reducing generation latency, optimizing batch component generation, or improving generated code quality for production use. Trigger: "anima performance", "anima slow", "anima optimization", "anima caching".

jeremylongshore2.0k

フレームワーク内部構造

Overview

Apply production-ready Deepgram SDK patterns for TypeScript and Python. Use when implementing Deepgram integrations, refactoring SDK usage, or establishing team coding standards for Deepgram. Trigger: "deepgram SDK patterns", "deepgram best practices", "deepgram code patterns", "idiomatic deepgram", "deepgram typescript".

jeremylongshore2.0k

フレームワーク内部構造

Cohere Deploy Integration

Deploy Cohere-powered applications to Vercel, Fly.io, and Cloud Run. Use when deploying Cohere API v2 apps to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy cohere", "cohere Vercel", "cohere production deploy", "cohere Cloud Run", "cohere Fly.io".

jeremylongshore2.0k

フレームワーク内部構造

Overview

Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up Deepgram in Docker/Kubernetes/serverless. Trigger: "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud run", "deepgram lambda".

jeremylongshore2.0k

フレームワーク内部構造

CoreWeave Performance Tuning

Optimize CoreWeave GPU inference latency and throughput. Use when reducing inference latency, maximizing GPU utilization, or tuning batch sizes and concurrency. Trigger with phrases like "coreweave performance", "coreweave latency", "coreweave throughput", "optimize coreweave inference".

jeremylongshore2.0k

フレームワーク内部構造

Evernote Sdk Patterns

Advanced Evernote SDK patterns and best practices. Use when implementing complex note operations, batch processing, search queries, or optimizing SDK usage. Trigger with phrases like "evernote sdk patterns", "evernote best practices", "evernote advanced", "evernote batch operations".

jeremylongshore2.0k

フレームワーク内部構造

Framer Deploy Integration

Deploy Framer integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Framer-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy framer", "framer Vercel", "framer production deploy", "framer Cloud Run", "framer Fly.io".

jeremylongshore2.0k

フレームワーク内部構造

Framer Core Workflow B

Execute Framer secondary workflow: Core Workflow B. Use when implementing secondary use case, or complementing primary workflow. Trigger with phrases like "framer secondary workflow", "secondary task with framer".

jeremylongshore2.0k

フレームワーク内部構造

Klaviyo Performance Tuning

Optimize Klaviyo API performance with caching, batching, and pagination tuning. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Klaviyo integrations. Trigger with phrases like "klaviyo performance", "optimize klaviyo", "klaviyo latency", "klaviyo caching", "klaviyo slow", "klaviyo batch".

jeremylongshore2.0k

フレームワーク内部構造

Miro Performance Tuning

Optimize Miro REST API v2 performance with caching, cursor pagination, request batching, and connection pooling for high-throughput integrations. Trigger with phrases like "miro performance", "optimize miro", "miro latency", "miro caching", "miro slow", "miro batch".

jeremylongshore2.0k

フレームワーク内部構造

Snowflake SDK Patterns

Apply production-ready Snowflake SDK patterns for snowflake-sdk and snowflake-connector-python. Use when implementing connection pooling, async execute wrappers, streaming results, or establishing team coding standards for Snowflake. Trigger with phrases like "snowflake SDK patterns", "snowflake best practices", "snowflake code patterns", "idiomatic snowflake", "snowflake connection pool".

jeremylongshore2.0k

フレームワーク内部構造

Add Descriptor

Guides through adding a new descriptor type to deepmd-kit. Covers implementing in dpmodel (array-API-compatible), wrapping for JAX/pt_expt backends, hard-coding for PT/PD, registering arguments, and writing all required tests.

deepmodeling1.9k

フレームワーク内部構造

Oxygent Framework Explorer

Explore and understand the OxyGent framework structure, components, and implementation patterns.

jd-opensource1.9k

フレームワーク内部構造

Veomni New Op

Use this skill when adding a new optimized kernel or operator to veomni/ops/. Covers the full lifecycle: understanding VeOmni's ops architecture (monkey-patch + global function pointer pattern), implementing the kernel, registering it, adding tests, and documenting it. Trigger: 'add op', 'new kernel', 'add attention variant', 'new fused op', 'add triton kernel', 'optimize operator'.

ByteDance-Seed1.8k

フレームワーク内部構造

Veomni Uv Update

Use this skill when updating dependencies managed by uv: bumping a package version, upgrading the uv tool itself, updating torch/CUDA stack, switching transformers version, or regenerating the lockfile. Trigger: 'update dependency', 'bump version', 'upgrade uv', 'update torch', 'update lockfile', 'uv sync fails'.

ByteDance-Seed1.8k

フレームワーク内部構造

Js Early Exit

Use early returns to avoid unnecessary computation in loops and functions. Apply when processing arrays, validating input, or checking multiple conditions where the result can be determined before all iterations complete.

TheOrcDev1.8k

フレームワーク内部構造

Simple Math

Perform basic arithmetic operations safely using standard operators without eval or exec

cisco-ai-defense1.8k

フレームワーク内部構造

Neo4j Cypher Guide

Comprehensive guide for writing modern Neo4j Cypher read queries. Essential for text2cypher MCP tools and LLMs generating Cypher queries. Covers removed/deprecated syntax, modern replacements, CALL subqueries for reads, COLLECT patterns, sorting best practices, and Quantified Path Patterns (QPP) for efficient graph traversal.

tomasonjo1.6k

フレームワーク内部構造

PennyLane

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

foryourhealth111-pixel1.6k

フレームワーク内部構造

Pymoo

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

foryourhealth111-pixel1.6k

フレームワーク内部構造

Fix Nightly Warnings

Fix ITK nightly build errors or compilation warnings reported on CDash. Use when: addressing CDash nightly failures. Creates a branch, fixes warnings, and opens a PR upstream.

InsightSoftwareConsortium1.6k

フレームワーク内部構造

Quartz Integration Guide

Integration guide for using the Quartz Nostr KMP library in external projects. Use when: (1) adding Quartz as a Gradle dependency, (2) setting up NostrClient with WebSocket, (3) creating/signing/sending events, (4) building relay subscriptions with Filter, (5) handling keys with KeyPair/NostrSignerInternal, (6) using Bech32 encoding/decoding (NIP-19), (7) platform-specific setup (Android vs JVM/Desktop), (8) NIP-57 zaps, NIP-17 DMs, NIP-44 encryption in external projects.

vitorpamplona1.5k

フレームワーク内部構造

Impl Jit Kernel

Guide for implementing CUDA or CPU JIT kernels in mllm-kernel. Use when the user asks to create, add, or implement a new kernel in mllm-kernel.

UbiquitousLearning1.5k

フレームワーク内部構造

Self Improve

Autonomous evolutionary code improvement engine with tournament selection. Activate when user says: self-improve, self improve, evolve code, improve iteratively, tournament, benchmark loop, optimize code.

zereight1.4k

フレームワーク内部構造 | Skills Pool