Backend & API

Backend services, APIs, webhooks, and server-side tooling

828 skills available

Skills List

n8n-error-handling

n8n-error-handling

6.2Kbackend-api

Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the user mentions error handling, onError, continueErrorOutput, error branches/outputs, retries, retryOnFail, Respond to Webhook status codes, 4xx/5xx, Error Trigger, or "my workflow fails silently". Covers per-node error outputs and wiring, retry/self-healing, error-trigger workflows, and 4xx/5xx response shapes.

czlonkowski avatarczlonkowski
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n8n-code-python

n8n-code-python

5.9Kbackend-api

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically requests Python for an n8n Code node. Note — JavaScript is recommended for 95% of use cases — only use Python when the user explicitly prefers it or the task requires Python-specific standard library capabilities (regex, hashlib, statistics). EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).

czlonkowski avatarczlonkowski
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n8n-code-javascript

n8n-code-javascript

5.8Kbackend-api

Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node errors, choosing between Code node modes, or doing any custom data transformation in n8n. Always use this skill when a workflow needs a Code node — whether for data aggregation, filtering, API calls, format conversion, batch processing logic, or any custom JavaScript. Covers SplitInBatches loop patterns, cross-iteration data, pairedItem, and real-world production patterns. Also use when asked why a Code node or workflow is slow, which execution mode is faster, or how to cut per-item overhead on large datasets. EXCEPTION — for the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode, a tool attached to an AI Agent), use the n8n-code-tool skill instead; it has a different runtime contract.

czlonkowski avatarczlonkowski
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n8n-workflow-patterns

n8n-workflow-patterns

5.8Kbackend-api

Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, or scheduled tasks. Always consult this skill when the user asks to create, build, or design an n8n workflow, automate a process, or connect services — even if they don't explicitly mention 'patterns'. Covers webhook, API, database, AI, batch processing, and scheduled automation architectures. Also use when optimizing a slow workflow or speeding up large-item-count processing (node count, batchSize, all-items vs per-item).

czlonkowski avatarczlonkowski
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mathmodel-figure-templates

mathmodel-figure-templates

4.7Kbackend-api

Use this skill in the MathModel LaTeX sandbox when the user asks to reproduce built-in scientific visualization templates, especially prompts from the Improve tab mentioning $mathmodel-figure-templates, 科研绘图模板, SHAP蜂群柱状图, 配对云雨图, 交叉验证ROC, 泰勒图, 相关矩阵组合图, 预测真实值边缘分布图, TPE调参3D曲面, 下三角相关矩阵半边小提琴图, 分组环形热图, 城市公园降温组合图, or Nature和弦图. It provides ready-to-run Python scripts bundled inside the skill.

jihe520 avatarjihe520
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doctor

doctor

4.3Kbackend-api

环境检查与安装向导。检查数学建模工作流所需的全部依赖是否已安装,对缺失项提供安装命令,并在用户确认后执行安装。手动触发。

jihe520 avatarjihe520
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remotion-maps

remotion-maps

4.1Kbackend-api

Remotion Map animation knowledge

remotion-dev avatarremotion-dev
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memory-notes

memory-notes

4Kbackend-api

How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes.

basicmachines-co avatarbasicmachines-co
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vertex-ai-api-dev

vertex-ai-api-dev

4Kbackend-api

Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

google-gemini avatargoogle-gemini
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anysearch

anysearch

3.7Kbackend-api

Real-time search engine supporting web search, vertical domain search, parallel batch search, and URL content extraction.

anysearch-ai avataranysearch-ai
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browser-to-api

browser-to-api

3.7Kbackend-api

Turn a website's observable HTTP traffic into a best-effort OpenAPI 3.1 spec by analyzing a `browser-trace` capture. Use when the user wants to discover/extract API endpoints from a browser session, build an OpenAPI doc from network traffic, or document a third-party site's XHR/fetch surface for client integration.

browserbase avatarbrowserbase
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functions

functions

3.7Kbackend-api

Deploy serverless browser automation as cloud functions using Browserbase. Use when the user wants to deploy browser automation to run on a schedule or cron, create a webhook endpoint for browser tasks, run automation in the cloud instead of locally, or asks about Browserbase Functions.

browserbase avatarbrowserbase
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fetch

fetch

3.7Kbackend-api

Use this skill when the user wants to retrieve a URL without a full browser session: fetch HTML or JSON from static pages, inspect status codes or headers, follow redirects, or get page source for simple scraping. Prefer it over a browser when JavaScript rendering and page interaction are not needed. Supports proxies and redirect control.

browserbase avatarbrowserbase
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cuopt-multi-objective-exploration

cuopt-multi-objective-exploration

3.2Kbackend-api

Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).

nvidia avatarnvidia
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tao-run-on-slurm

tao-run-on-slurm

3.1Kbackend-api

Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed

nvidia avatarnvidia
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archimate

archimate

3.1Kbackend-api

Create ArchiMate enterprise architecture diagrams using PlantUML stdlib macros. Best for TOGAF viewpoints, layered EA modeling (Business/Application/Technology), motivation analysis, and migration planning.

markdown-viewer avatarmarkdown-viewer
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data-analytics

data-analytics

3.1Kbackend-api

Create data pipeline and analytics architecture diagrams using PlantUML syntax with database/analytics stencil icons. Best for ETL pipelines, data lakes, real-time streaming, data warehousing, and BI dashboard design.

markdown-viewer avatarmarkdown-viewer
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graphviz

graphviz

3.1Kbackend-api

Create directed/undirected graphs using DOT language with automatic layout. Best for dependency trees, call graphs, package hierarchies, and module relationships requiring fine-grained edge routing.

markdown-viewer avatarmarkdown-viewer
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tao-run-on-kubernetes

tao-run-on-kubernetes

3.1Kbackend-api

Kubernetes execution platform — submits TAO container jobs as single-pod k8s Jobs with NVIDIA GPU scheduling.

nvidia avatarnvidia
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tao-run-inference-service

tao-run-inference-service

3.1Kbackend-api

Start, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.

nvidia avatarnvidia
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tao-run-on-local-docker

tao-run-on-local-docker

3.1Kbackend-api

Local or remote Docker execution for TAO SDK job containers using a Docker daemon with NVIDIA GPU runtime. Use

nvidia avatarnvidia
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holoscan-install-debian

holoscan-install-debian

3Kbackend-api

Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.

nvidia avatarnvidia
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cuopt-numerical-optimization-api-python

cuopt-numerical-optimization-api-python

3Kbackend-api

Solve LP, MILP, QP (beta) with cuOpt Python API — linear/quadratic objectives, integer variables, scheduling, portfolio, least squares.

nvidia avatarnvidia
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launch-nemo-rl

launch-nemo-rl

3Kbackend-api

Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.

nvidia avatarnvidia
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