后端与 API
后端服务、API、Webhook 和服务端工具
Skills 列表

ccxt-cli
CCXT command-line interface (ccxt-cli) for interacting with 100+ cryptocurrency exchanges directly from the terminal — no code required. Covers installing the CLI, calling any unified CCXT method (fetchTicker, fetchOHLCV, createOrder, fetchBalance), passing arguments and exchange-specific params, authenticating with API keys, sandbox/testnet mode, streaming live tickers and orderbooks over WebSocket, plotting OHLCV charts, and scripting with raw JSON output. Use when the user wants to query an exchange, test API credentials, place or inspect orders, or debug exchange requests from the command line or in shell scripts.
ccxt
ccxt-typescript
CCXT cryptocurrency exchange library for TypeScript and JavaScript developers (Node.js and browser). Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors. Use when working with crypto exchanges in TypeScript/JavaScript projects, trading bots, arbitrage systems, or portfolio management tools. Includes both REST and WebSocket examples.
ccxt
telegram-bot-builder
Expert in building Telegram bots that solve real problems - from
sickn33
qutip
Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.
k-dense-ai
modal
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
k-dense-ai
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
k-dense-ai
depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
k-dense-ai
usfiscaldata
Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.
k-dense-ai
pymc
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
k-dense-ai
torch-geometric
PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.
k-dense-ai
networkx
Create, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.
k-dense-ai
get-available-resources
Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.
k-dense-ai
optimize-for-gpu
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.
k-dense-ai
v3-to-v4-migration
Use this skill when migrating a Phaser 3 project to Phaser 4, or when a user asks about breaking changes, API differences, or how to update their v3 code. Covers renderer changes (pipelines to render nodes), FX/masks to filters, tint system, camera matrix, texture coordinates, DynamicTexture, shaders, lighting, removed game objects, and a full migration checklist. Triggers on: migrate, upgrade, v3 to v4, breaking changes, Phaser 3 to 4, migration guide, update from v3.
phaserjs
audio-and-sound
Use this skill when adding audio or sound to a Phaser 4 game. Covers loading audio, playing sounds, music, volume, spatial audio, Web Audio API, and SoundManager. Triggers on: sound, audio, music, volume, mute.
phaserjs
tweens
Use this skill when animating properties over time in Phaser 4. Covers tweens, tween chains, easing functions, stagger, yoyo, repeat, callbacks, number tweens, and the TweenManager. Triggers on: tween, ease, animate, this.tweens.add, tween chain, stagger.
phaserjs
physics-arcade
Use this skill when using Arcade Physics in Phaser 4. Covers enabling physics, velocity, acceleration, gravity, collisions, overlap, world bounds, physics groups, static bodies, and collision categories. Triggers on: physics, arcade, velocity, gravity, collide, overlap, bounce, physics body.
phaserjs
cameras
Use this skill when working with cameras in Phaser 4. Covers camera effects (shake, fade, flash, pan, zoom), following sprites, scroll, bounds, viewports, multiple cameras, and minimap. Triggers on: camera, viewport, scroll, zoom, follow, shake, fade.
phaserjs
particles
Use this skill when creating particle effects in Phaser 4. Covers ParticleEmitter, emission zones, death zones, particle properties, textures, gravity wells, and particle movement. Triggers on: particles, emitter, particle effect, explosion, fire, smoke.
phaserjs
time-and-timers
Use this skill when using timers and time-based events in Phaser 4. Covers TimerEvent, delayed calls, looping timers, the Clock plugin, and time scaling. Triggers on: timer, delay, delayedCall, TimerEvent, Clock, time event.
phaserjs
events-system
Use this skill when working with the Phaser 4 event system. Covers EventEmitter, scene events, game events, custom events, and event-driven communication. Triggers on: events, on, emit, EventEmitter, scene events, listeners.
phaserjs
data-manager
Use this skill when using the Phaser 4 DataManager to store custom key-value data on game objects, listen for data change events, or manage game state. Triggers on: setData, getData, data events, custom data storage.
phaserjs
curves-and-paths
Use this skill when working with curves and paths in Phaser 4. Covers splines, bezier curves, lines, ellipses, path followers, and mathematical curve types. Triggers on: curve, path, spline, bezier, path follower.
phaserjs
react18-dep-compatibility
React 18.3.1 and React 19 dependency compatibility matrix.
github