Configure Customer.io local development workflow. Use when setting up local testing, development environment, or offline development for Customer.io integrations.
Nango is an open-source platform for building product integrations with 700+ APIs. It handles OAuth, token management, API proxying, and execution of custom TypeScript sync and…
Use BEFORE writing or editing any code that calls an external HTTP API or imports a third-party SDK (e.g.
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy.
Interactive viewer for microscopy. Displays 2D/3D/4D arrays as Image, Labels, Points, Shapes, Tracks layers; supports annotation, plugin analysis, headless screenshots.
Apply NASA's battle-tested framework for building complex, mission-critical systems where failure has catastrophic consequences
NASA Systems Engineering methodology mapped to cloud operations. Use when planning, executing, verifying, or documenting OpenStack cloud infrastructure following NASA SP-6105 and…
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo — from…
Use when debugging native programs or ELF binaries with gdb breakpoints, backtraces, and memory inspection. Triggers:
Route a native Apple-platform task to the right skill among the iOS specialists — Swift 6.2 concurrency, SwiftUI architecture, actor persistence, protocol-based DI/testing,…
Query and manage Linear issues, projects, cycles, and teams via the Linear GraphQL API. Use when you need to list or create issues, check cycle status, manag...
Create native modules with sequential native-bridge-builder then code-reviewer agents
Rozwija aplikacje desktopowe z użyciem NativePHP Desktop v2. Aktywuje się przy pracy z oknami (Window), paskiem menu (MenuBar), menu aplikacji (Menu), powiadomieniami, dialogami,…
Use when a task needs a real browser — navigating JavaScript-heavy sites, interacting with logged-in accounts, clicking/typing/filling forms, taking screenshots, inspecting…
NATS JetStream messaging for Vigil Guard 2.0+ migration. Use when implementing message queues, detection workers, request-reply API, async processing, Dead Letter Queues, or…
Generer Architecture Decision Records (ADR) med flerperspektiv-review tilpasset Nav
Use when setting up CI/CD pipelines that validate Navan API integrations, run booking data health checks, or generate automated compliance reports.
Diagnose and fix common Navan API errors with targeted fix procedures. Use when an API call returns an unexpected HTTP error or when debugging production failures.
Extract and transform Navan booking and transaction data using pagination, filtering, and data pipeline connectors.
Implement incremental sync strategies for Navan BOOKING and TRANSACTION data with ETL pipeline patterns.
Use when collecting diagnostic data from a Navan API integration — OAuth token inspection, API response capture, connectivity testing, and request/response logging.
Use when deploying Navan integrations with ERP systems (NetSuite, Sage Intacct, Xero), HRIS platforms (Workday, BambooHR), or identity providers (Okta, Azure AD).
Set up a local development environment for Navan API integrations with token caching and request logging. Use when starting a new Navan project or debugging API issues locally.
Use when optimizing Navan API call patterns for high-volume integrations — caching, batching, connection pooling, and pagination strategies.
Implement adaptive rate-limiting for the Navan REST API with exponential backoff and request queuing. Use when building bulk data operations or encountering 429 errors from Navan.
Use when designing a production Navan API integration architecture — API gateway, token management, data sync pipelines, ERP connectors, and monitoring stack.
SwiftUI navigation architecture patterns including NavigationStack, NavigationSplitView, TabView, programmatic navigation, and custom transitions.
Browser automation using Playwright and Chrome DevTools. Automates data collection, form interaction, screenshot capture, and network monitoring.
Use for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap indirect…
Use when asked to analyze content for manipulation, propaganda, disinformation patterns, or when user provides a URL or text asking "is this manipulative?", "analyze this for…
NDA fuer SaaS-/IT-Vendor-Pitches: Cloud-Hosting, Datentrennung, Subprozessoren, Audit-Rechte, Penetration-Testing-Erlaubnis.
End-of-session knowledge cleanup with OCD-level rigor — reconciles project docs (CLAUDE.md, README.md, docs/) and agent memory against the code so nothing rots.
Needle-in-a-Haystack context placement testing for LLM retrieval accuracy. Context window stress tests, information placement strategies, lost-in-the-middle avoidance, and optimal…
Evaluate systems through an entropy/negentropy lens — is this system decaying or growing? Use when making architecture decisions, evaluating system health, or when the user…
Interactive config wizard for NeMo Evaluator Launcher (NEL). Use when the user wants to create a new evaluation config from scratch, set up an evaluation from existing configs, or…
Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution.
Use when debugging a Nemo Gym run or reward profiling job. Covers rollout collection failures, empty or partial JSONL outputs, stale materialized inputs, verifier/schema errors,…
Use to help users get started with Nemo Gym reward profiling. Covers the basic ng_run, ng_collect_rollouts, and ng_reward_profile workflow, repeated rollouts, materialized inputs,…
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples. — from NVIDIA/skills
Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container set — from…
Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes,…
External NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider changes, including downstream compatibility checks, external RL lifecycle behavior, Megatron…
Diagnoses and recovers recurring OpenClaw pairing failures in this repository's NemoClaw Jetson workflow.
Install, configure, and uninstall NVIDIA NemoClaw with Hermes Agent sandboxes on macOS. Covers provider selection, non-interactive onboarding, Docker prerequisites, common…
Cut a new semver release — bump all version strings via bump-version.ts, open a release PR, and after merge tag main and push.
Install and configure NVIDIA NemoClaw (sandboxed OpenClaw agent platform) on Linux. Handles cloudflared tunnels, Docker cgroup fixes, OpenShell, sandbox creation, remote access…
Explains how to run NemoClaw on a remote GPU instance, including the deprecated Brev compatibility path and the preferred installer plus onboard flow.
Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time.
Inspects sandbox health, traces agent behavior, and diagnoses problems. Use when monitoring a running sandbox, debugging agent issues, or checking sandbox logs.
Describes the NemoClaw plugin and blueprint architecture and how they orchestrate the OpenClaw sandbox. Use when looking up architecture, plugin structure, or blueprint design.
Generates Nemo.js automation tests in JavaScript. PayPal's Selenium-based test framework for Node.js. Use when user mentions "Nemo.js", "nemo automation".
Reference desk for Nemotron 3 Nano / Llama-Nemotron Nano 3 — architecture, training data, recipes, evaluation, quantization, deployment.
Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.
Reference desk for NVIDIA Nemotron 3 Super — architecture, training data, recipes (pretrain/SFT/RL/eval/quantization), and deployment notes.
Reference desk for NVIDIA Nemotron 3 Ultra (550B-A55B) — architecture, NVFP4 pretraining, SFT, MOPD (multi-teacher on-policy distillation), MTP boosting, quantization, inference.
Comprehensive guide to using the official Neo4j .NET Driver (v6, current stable) — covering
Comprehensive guide to using the official Neo4j Java Driver (v6, current stable) — covering
Comprehensive guide to using the official Neo4j JavaScript/TypeScript Driver (v6) — covering
Comprehensive guide to using the official Neo4j Python Driver (v6, current stable) — covering