DevOps & Infra

2233admin Bundle

Install, validate, and query Code Intel Pipeline evidence for repository understanding, architecture analysis, code indexing, hotspot diagnosis, structural regression gates, and artifact handoff. Use when an agent needs to bootstrap a verified GitHub Release, run `code-intel`, inspect committed artifacts or gate freshness, choose impacted tests before editing, preview AST rewrites, or diagnose provider boundaries. Also use before implementing, refactoring, or fixing code in an analyzed repository. NOT: do not use this skill for reviewing diffs, designing implementations, type-shape review, swallowed-error hunting, vulnerability scanning, or same-stack upgrades; route those gaps to the catalog-bound assistance skills.

nagisanzenin Skill

Run a scientific study that is actually SOLID — pre-registered, adequately powered, and blind-judged — so the conclusion is defensible and whatever you build on top of it isn't built on sand. Use when the user wants to run an experiment, A/B test, ablation, eval, or comparison and have the result HOLD UP. crucible enforces the three disciplines an agent skips (pre-registration, sample size, blind judging) as gates the pipeline refuses to pass.

nagstler Bundle

Production-grade LLM integration patterns for Ruby on Rails applications. USE THIS SKILL when the user needs to: integrate OpenAI, Claude, or any LLM API into a Rails app; use ruby_llm gem or langchain-rb gem in Rails; build AI-powered features in Rails; manage prompts as templates; route between LLM models for cost optimization; run LLM calls as background jobs; set up Braintrust evals; use LiteLLM or Portkey as a proxy; track LLM costs; test AI features; audit LLM usage patterns; build RAG pipelines in Rails with langchain-rb; add classification, summarization, extraction, or generation features to Rails; manage LLM API keys and budgets; handle LLM errors and retries; or adopt conventions for LLM service objects similar to ActionMailer or ActiveJob patterns. Triggers on: LLM in Rails, OpenAI Rails integration, Claude API Ruby, Anthropic SDK Rails, AI features Rails, prompt engineering Ruby, model routing, LLM cost optimization, Braintrust Rails, eval pipeline Ruby, background LLM jobs, async AI calls, LLM s

myclaude-sh Bundle

Anti-hallucination engineering framework for Claude Code. 3-phase pipeline: Architecture (6 Questions) > Engineering (Build-Verify-Seal) > Verification (XP Scorecard). Enforces contracts, bottom-up bu

myriad-dreamin Bundle

Guide Reflexo/typst.ts release preparation and operator handoffs. Use when the user asks about 发版, release, publish, version bumping, release dry-runs, npm trusted publishing, GitHub Release artifacts, Docker/crates publishing, or wants a guide/checklist agent for this repository's release process.

nanzhipro Bundle

Set up a disk-backed Phase-AI-Anime workflow for AI anime drama and manga-motion video projects. Use when the user wants to create, plan, continue, reset, or revise AI 漫剧, AI 动漫短剧, webtoon-to-video, anime short drama, storyboard-to-video, image/video/TTS generation pipelines, shot lists, dialogue scripts, asset prompts, audio-video timelines, or final assembly manifests across many sessions. Triggers: 'AI 漫剧', 'AI 动漫视频', '动漫短剧', '漫剧工作流', '分镜脚本', '音画同步', '生图到视频', 'AI drama pipeline', 'anime video workflow', 'storyboard to video', 'image to video', 'TTS timeline', 'phase-ai-anime', 'reset phase', '重置 phase', '从 0 开始'. Scaffolds plan/manifest.yaml, plan/common.md, phase and execution contracts, planctl, profiles, generation job specs, and synchronized agent instruction files so production state survives context compression across Copilot, Claude Code, and Codex.

mystenlabs Bundle

Deep, multi-lens security & correctness audit of the DeepBook Predict smart contracts (the predict + propbook + account Move source). Use when asked to audit Predict, hunt bugs/invariant-violations/exploits in Predict, review Predict contract changes before merge, or assess economic safety of the Predict protocol. Smart-contract audit — finds bugs, invariant violations, exploits, and architecture/maintainability issues; it does not check deploy/ops readiness. RUNNING IT IS EXPENSIVE (a whole-fleet run is dozens of agents / a few million tokens; every harness requires an explicit scope and bounds its own agent count by construction) and REQUIRES explicit user confirmation before every run — never execute it automatically.

naorsabag Skill

Render an interactive step-by-step diagram of a specific system, feature, codebase, workflow, pipeline, user journey, architecture, idea, or proposed solution using OpenHop. Use this skill whenever the user wants to understand, explain, describe, walk through, trace, diagram, or visualize a sequence of named hops between identifiable components/actors (e.g. an auth flow, a checkout pipeline, an onboarding journey, a product's features, how a system works end-to-end, an architecture, a proposed design). Any prompt of the shape "how does X work?", "explain how X works", "walk me through X", "diagram X", or "trace what happens when …" is a trigger, as long as X has named parts that pass data between each other. Do NOT activate for single-concept definitions or comparisons with no step sequence (e.g. "what is a closure?", "let vs const", "define recursion"). When activated, prefer this skill over a prose explanation or a static Mermaid/PlantUML diagram.

narasaka Skill

MUST USE for any task involving the dotenvx CLI tool — encrypting .env files, running commands with injected env vars, managing secrets across environments, and decrypting at runtime. Use this skill whenever the user mentions dotenvx, dotenv encryption, DOTENV_PRIVATE_KEY, encrypted .env files, or the dotenvx encrypt/run/set/get/decrypt/keypair commands. Also trigger when the user wants to: commit .env files safely to git, stop sharing secrets over Slack/chat, encrypt environment variables with public-key cryptography, set up multi-environment .env configs (production/staging/ci), manage secrets in a monorepo with -fk flag, migrate from python-dotenv or plain dotenv to encrypted envs, inject env vars into any process across any language (Node, Python, Ruby, Go, Rust, etc.), or configure CI/CD pipelines (GitHub Actions, Docker) with encrypted env files. This skill contains the authoritative CLI reference — without it, responses will hallucinate non-existent commands and flags.

n0an Bundle

Multi-stage agent pipeline for feature development with deterministic quality gates - a specifier writes Gherkin acceptance criteria, a coder implements to green tests, a cleaner drives every function under a per-function CRAP threshold, a hardener kills surviving mutants via mutation testing. Use when implementing a user story with verifiable quality, when asked to "run the gauntlet", or when setting up quality gates for agent-written code.

ndpvt-web Bundle

End-to-end market research to institutional-grade PPTX pipeline with AI-generated imagery, 5 adaptive themes, and 12 layout types. Live web research, consulting frameworks (TAM/SAM/SOM, Porter's, SWOT, PESTEL), native charts, tables, framework diagrams, AI cover images, hero stats, KPI dashboards, icon grids -- rivaling Gamma and NotebookLM but with editable PowerPoint output. Use when: (1) user asks to research a market/industry/company AND produce a presentation, (2) user asks for a market analysis deck or pitch book, (3) user asks for competitive analysis presentation, (4) user says 'market research presentation' or 'research deck' or 'pitch book' or 'industry analysis presentation' or 'consulting deck', (5) user wants to analyze and present findings on any market/industry/company topic

nealepetrillo Bundle

Comprehensive reference for the Google Cloud CLI (gcloud). Use this skill whenever working with GCP infrastructure, services, or tooling via the command line. Triggers include: any mention of "gcloud", "Google Cloud", "GCP", Cloud Functions, Cloud Run, Compute Engine, IAM, service accounts, authentication with Google Cloud, ADC (Application Default Credentials), GCP emulators (Firestore, Pub/Sub, Bigtable, Datastore, Spanner), or any task requiring interaction with Google Cloud Platform from a terminal. Also use when deploying to GCP, managing GCP projects/configs, or debugging GCP authentication issues.

nearai Skill

Operate as the user's enterprise chief of staff — triage priorities, prepare briefings, draft communications in their voice, track commitments and open loops, surface risks and decisions needed, and delegate research/review to tools and sub-agents. Executive brevity; lead with the recommendation.

netresearch Bundle

Use when developing Go applications, implementing job schedulers or cron (netresearch/go-cron, ofelia), Docker API integrations, LDAP/AD clients, building resilient services with retry logic, setting up Go test suites (unit/integration/fuzz/mutation), or running golangci-lint.

neblihq Skill

Process a folder of drone photos into an orthomosaic (a georeferenced aerial map), plus a surface model and 3D reconstruction, using OpenDroneMap. Use this whenever a drone pilot wants to stitch flight photos into a map, build an orthomosaic or orthophoto, generate a DSM/elevation model or point cloud from drone imagery, "make a map from my drone photos", or process a photogrammetry flight — even if they don't name a specific tool.

netbox-community Skill

Run the pynetbox test suite — unit tests only, integration tests against a live NetBox in Docker, or both. Covers how to pick the right command, pass options, and interpret failures.

nethermindeth Bundle

Guides using helm-unittest for Helm charts. Use when writing unit tests for Helm templates or implementing new complex features in a chart.

netresearch Bundle

Use whenever a running TYPO3 instance is wanted, started or reached: ddev commands, backend URLs, DDEV setup, multi-version testing — and when DDEV cannot run, so the instance must be provisioned directly. Triggers on: I need an instance, install TYPO3 locally, ddev URLs, docker environment, CI or container without DDEV.

netresearch Bundle

Use when working with ANY Concourse CI task: writing pipelines, configuring resources, building images with oci-build-task, troubleshooting failing jobs, migrating from legacy patterns, or optimizing CI/CD. Triggers on: Concourse, pipeline, fly CLI, resource type, oci-build-task, set_pipeline, concourse.yml.

netresearch Bundle

Use when evaluating projects for production or enterprise readiness, implementing supply chain security (SLSA, cosign, SBOMs, pnpm), hardening CI/CD pipelines, establishing quality gates (TYPO3: CI matrix PHP 8.2-8.5 x TYPO3 12.4/13.4/14.3 LTS), pursuing OpenSSF Best Practices Badge (Passing/Silver/Gold) or OSPS Baseline levels, reviewing code quality, writing ADRs, or configuring Git hooks and CI pipelines.

netresearch Bundle

Use when TYPO3 extension documentation has to render on docs.typo3.org, which builds a manual from Documentation/guides.xml and reads no Settings.cfg (a single README.rst serves an extension too small for one): when an extension has no documentation yet, or when creating, editing or reviewing Documentation/*.rst, guides.xml, README.md or XLF translations, rendering docs with Docker, TYPO3 RST directives, screenshots, or XLIFF 2-space indentation (TYPO3 v14+).

nextflow-io Skill

Edit Nextflow Summit website content in Sanity and publish it to the live site. Use whenever a task involves changing CMS content for the summit-website repo — talks/events, speakers, posters, sponsors, agenda, page copy, embedding YouTube recordings — or making such changes appear on summit.nextflow.io (which needs a Netlify rebuild). Covers the no-deployed-schema write workaround and the master-branch deploy gotcha.

nextlevelbuilder Bundle

Drive the AgentWiki knowledge platform via its CLI (`@aiagentwiki/cli`, command `agentwiki`) and MCP server (`https://api.agentwiki.cc/mcp`). Use this skill whenever the user mentions AgentWiki, agentwiki.cc, app.agentwiki.cc, the `agentwiki` CLI, the `@aiagentwiki/cli` npm package, the AgentWiki MCP server, or asks to create/list/search/share/publish documents, manage folders or tags, upload files or images, deploy static sites, traverse a knowledge graph, or query their AgentWiki workspace from the terminal or as an AI agent. Triggers include phrases like "agentwiki login", "aw_… API key", "create a doc on agentwiki", "search my wiki", "publish to agentwiki", "agentwiki MCP", or any task that would otherwise require opening app.agentwiki.cc manually.

netresearch Bundle

Use when upgrading a deployed TYPO3 project/instance to a new LTS version (v14.3 LTS is the current target, released 2026-04-21) — migrating site configuration, TypoScript, templates, Docker infrastructure, and database. Includes #109585 post-upgrade wizard and Camino theme migration. Not for extension code upgrades (use typo3-extension-upgrade instead).

netresearch Bundle

Use when assessing or hardening a deployable TYPO3 SITE/PROJECT repo (composer type:project + Docker/Compose) — not an extension. Triggers on: compose.yaml/docker-compose.yml + config/sites or config/system in a TYPO3 repo, site conformance, gold standard, project conformance, container/Compose topology, Concourse pipeline review, supply-chain (Trivy/SBOM/cosign), secret-free settings.php/additional.php, Valkey cache, ofelia scheduler, image digest pinning, .gitlab-ci validate-only. For EXTENSION quality use typo3-conformance instead.

netresearch Bundle

Use when a reported defect has to be reproduced as a failing test before it is fixed, when a change to a template or to any rendered output has to be proved, or when setting up TYPO3 extension test infrastructure, writing unit/functional/E2E tests, configuring PHPUnit 11/12/13, mutation testing, mocking final classes (v14), CI/CD matrix across TYPO3 12/13/14.3 LTS, dev-dependency consolidation via typo3-ci-workflows meta-package, or debugging CI failures. Also triggers on: testing-framework setup, ensure proper testing, test matrix, integration testing, e2e testing, coverage, test generation.

nmelanitis Bundle

Use this academic citation-review skill when the user wants to analyze how later papers cite or use a target paper. It supports OpenAlex citation expansion from a DOI or OpenAlex work ID, regex or internal-agent/cloud-LLM classification of citing papers as yes/no/dont_know, optional open-PDF download and full-text extraction, review-prompt construction, and cautious literature-review drafting. Trigger for literature-review, citation-review, paper-usage review, related-work synthesis, OpenAlex citation analysis, and "which papers use this paper" tasks. Do not use for generic software code review.

nicholasspisak Bundle

Drafts an agent graph — the map of nodes, checkpoints, and routes (a state machine) that a repeatable job travels — from a job description or a stated outcome. Compiles the map to a schema-validated lock file, renders a visual review surface the user must approve before any run, and emits multi-model drivers (Claude Code Workflow + chained Codex CLI). Use when the user says "build a graph", "/graph", "map this pipeline", "turn this outcome into a pipeline", "design the topology", "wire nodes and checkpoints", wants validation gates between agent steps, or asks whether a job needs a loop or a graph.

nikola-wd Skill

Convene an internal "council" of distinct senior-engineer personas to analyze a problem, stress-test an approach, and produce an implementation plan before writing code — grounding the decision in up-to-date online research (current library/API versions, vendor pricing and limits, regulatory rules) rather than stale training data. Use this whenever the user is analyzing a system, weighing architectural or design trade-offs, planning a non-trivial feature or refactor, evaluating a library/tool/vendor choice, debugging something whose root cause is unclear, or asks to "think through", "plan", "analyze", "research", "review the approach for", or "figure out how to build" something — even if they don't say the word "council". Trigger it especially for decisions that are expensive to reverse (data models, API contracts, infra, auth, migrations) or that depend on external facts that may have changed. Do NOT trigger for trivial one-liners, straightforward lookups, or when the user just wants code written for an alre

nim-lang Skill

Test Nimble in Docker. Use when running tests in Linux, reproducing issues in clean environments, or testing in isolated Docker containers.

nrayyagari Bundle

Generate adaptive Go coding exercises for developers who want broad practical Go fluency: writing correct programs, building backends, creating CLIs/tools, working with concurrency, and eventually building Kubernetes/CNCF ecosystem tooling. Use whenever the user wants to practice Go, learn Go concepts, review Go code, debug Go programs, build backend Go skills, prepare for Kubernetes ecosystem work, or mentions Go exercises, goroutines, channels, context, HTTP services, CLI tools, controllers, operators, cloud tooling, distributed systems, or CNCF projects. The skill tracks recurring mistakes and clarifying questions in /home/laborant/repos/go-practice/ learning-log.md so future exercise batches adapt to the user's actual learning pattern. Exercises must be created inside dated folders in the go-practice repo.

nrayyagari Bundle

Generate adaptive Python coding exercises for broad practical Python fluency: fundamentals, OOP, standard library, testing, CLIs, automation, backend services, FastAPI, Flask, AWS automation, data handling, and production scripting. Use whenever the user wants to practice Python, learn Python concepts, review Python code, debug Python programs, build backend APIs, automate AWS with Python, or mentions Python exercises, challenges, pytest, FastAPI, Flask, boto3, scripts, CLIs, or automation. Exercises must be created inside dated folders in /home/laborant/repos/python-practice. The skill tracks recurring mistakes and clarifying questions in the root learning-log.md; no progress tracker script or dynamic progress database is used.

nvidia-bionemo Bundle

Write code that calls the installed nvMolKit Python API for GPU-accelerated, batched RDKit-style operations - Morgan fingerprints, Tanimoto/cosine similarity, ETKDG conformer embedding, MMFF/UFF optimization, TFD, conformer RMSD, Butina clustering, substructure search, and maximum common substructure (MCS) search. Use when the user is importing `nvmolkit.*`, debugging an `nvmolkit` call, choosing between nvMolKit and RDKit for a batched cheminformatics workflow, or wiring nvMolKit results into a torch/numpy pipeline. Out of scope: building nvMolKit from source.

nvidia-nemo Bundle

Use when the user wants to anonymize a text dataset, redact PII, de-identify free-text data, or rewrite text to remove sensitive or inferable identifying information. Produces a runnable Python script that calls the NeMo Anonymizer pipeline (detection → replace or rewrite).

nt11111 Bundle

Pre-launch hardening pass for an app that was built fast (vibe-coded) and is about to go public — or is already public and was never audited. Hunts for secrets compiled into the client bundle, stored XSS, missing server-side authorization, and the launch-readiness gaps (404, headers, sitemap, privacy policy, meta tags), then PROVES each fix by attacking the live system. Use this whenever the user says they're about to launch, publish, deploy, go live, or "make it real"; whenever they ask to "make it secure", "check for vulnerabilities", "do a security review", or "harden" an app; whenever they paste a pre-launch checklist from a video, thread, or blog post and ask you to implement it; and whenever they mention protecting paid or gated content, user accounts, admin dashboards, or personal data. Also use it proactively before any first deploy of an app that handles logins or user data.

nvlabs Bundle

Run and operate GraspGenX — a cross-embodiment foundation model for 6-DOF grasp generation. Use when installing GraspGenX (uv or Docker), running inference demos (segmented object point cloud, scene point cloud, or object mesh), choosing a gripper or planner (graspmoe vs diffusion), starting or calling the ZMQ client-server, driving grasping through the MCP server, integrating a new gripper (config wizard / sweep-volume params), or wiring grasps into an end-to-end cuRobo + Newton pick-and-place pipeline. Also covers checkpoint/asset setup and the depth-quality requirement for real-world use.