DevOps & Infra

datnt-cell Skill

Manage Unity AssetDatabase operations

datnt-cell Skill

Validate project and scene health plus cleanup

0xebby Skill

Choose deployment architecture when you need many instances of the same logic — full deploy per instance, EIP-1167 minimal-proxy clones, or a single singleton keyed by a params hash. Use when a factory does `new Contract(...)` in a loop or per user action.

cskwork Skill

Deploy one skill to every coding agent (Claude Code, Codex, opencode, Hermes) by keeping ONE canonical dir and symlinking it into each agent's skills dir - one source, no drift. Use when the user says "deploy this skill", "update to .claude and .codex", "sync skill to all agents", "스킬 배포/동기화".

cskwork Skill

Read when you need a browser, or have to work across user's logged-in websites (e.g. Gmail, Slack, cloud consoles, etc.), or have to refer personal contexts like memory and browsing history.

cskwork Bundle

Use when a user asks to inspect, verify credentials for, connect, or troubleshoot the installed NAVER Cloud SSL VPN client on macOS without GUI automation.

cskwork Bundle

Use when a user wants a standalone Stream Deck cockpit for Claude Code, Codex, Pi, JCode, or other terminal agents: personalize buttons, launch/focus/resume/interrupt named sessions, display trustworthy local status, create or extend a Stream Deck plugin, or map recurring local workflows to controls. The core path must work without streamdeck-mcp, any MCP server, AgentDeck, or a cloud service.

huggingface Bundle

Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.

huggingface Bundle

Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.

huggingface Skill

Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.

huggingface Bundle

Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.

microsoft Bundle

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

klotzkette Skill

Für IT, Cloud, digitale Werkzeuge und Outsourcing: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Berufsrecht Anwälte.

microsoft Bundle

Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.

microsoft Bundle

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

monte-carlo-data Bundle

Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes. Activates when a user asks about slow pipelines, expensive queries, or performance regressions.

scdenney Skill

Scaffold or audit an entire research project repository organized around its source library. Use whenever the user is starting, structuring, organizing, or reviewing a whole project — "set up a research repo", "how should I structure/organize this project", "initialize my sources folder", "new paper or literature-review project", "audit my repo structure", "is my sources folder set up right", "check my project layout". Builds the sources spine (original PDFs, tracked Markdown conversions, a drop zone, and the bibliography), the conversion and intake pipeline, and the archetype-appropriate analysis, manuscript, and review folders; or audits an existing repo and reports what is present, partial, or missing. NOT for intaking or converting a single PDF (use process-source) or building a publication replication package (use replication-package).

scdenney Bundle

Designs and validates LLM-based text classification for research data — codebook construction, choice of learning regime, model selection and reproducibility, prompt construction, pilot validation against human coding with agreement statistics (kappa, F1), hybrid human-LLM workflows, and reporting model-coded data. Also carries a resumable batch pipeline with a rule-based baseline for coding large sets of repeated free-text values against a closed codebook — occupation, institution, and registry text, and open-text survey responses — with a frozen input set, incremental output, residual buckets, stratified hand validation, a regex or dictionary comparison, and a published lookup table. Use when the user asks to classify, code, or label text at scale. Discovering categories rather than applying them goes to topic-modeling.

athola Bundle

Scaffolds new projects with git, CI/CD workflows, pre-commit hooks, and build config. Use when starting a new Python, Rust, or TypeScript project from scratch.

athola Skill

Applies pipes-and-filters for sequential data transformations. Use when data flows through discrete stages like ETL, streaming analytics, or CI/CD pipelines.

athola Skill

Applies serverless FaaS patterns for event-driven workloads. Use when designing bursty workloads with minimal infrastructure and pay-per-execution cost model.

athola Skill

Installs egregore watchdog daemon via launchd or systemd for autonomous relaunching. Use when setting up egregore on a new machine. Do not use on CI/CD runners.

athola Skill

Configures GitHub Actions CI/CD workflows for testing, linting, and deployment. Use when setting up automation for a Python, Rust, or TypeScript project.

chinthakat Skill

Build, audit or repair a deploy path so it cannot ship to the wrong environment or ship the wrong bundle. Use when adding a deploy script or release workflow, when hardcoded environment names appear in scripts, when two tools disagree about which environment is the default, or after anything reached production that was meant for staging.

chinthakat Skill

Write or review a script that modifies real data — a backfill, migration, cleanup, bulk correction or one-off fix. Use whenever a change cannot be expressed as a code deploy and has to be applied to stored rows, and before running any script someone else wrote against real data.

athola Skill

Generates a Mermaid workflow diagram showing process steps, decisions, and state transitions. Use when documenting CI/CD pipelines or lifecycle processes.

athola Skill

Orchestrates the QUALITY pipeline stage for egregore work items, running code review, unbloat, and test updates. Use when running quality checks before a PR.

al-janef Bundle

Entry point and router for JANEF Forge, the engineering-discipline system for coding agents. Use at the start of any substantive software-engineering task (implement, fix, refactor, review, design, migrate, deploy, audit) to apply the engineering contract, estimate risk, and select the smallest sufficient capability set. Invoke as /forge <task>, /forge lean|standard|high-assurance <task>, or /forge security pass. Not for non-technical writing or research.

al-janef Bundle

CI/CD pipelines, containers, infrastructure as code, cloud services and IAM, deployment and rollout strategy, rollback, backups and restore, monitoring and alerting, and reliability controls. Use for any workflow, Dockerfile, Terraform, Kubernetes, cloud, deployment, or operations change. Production and infrastructure mutations require explicit authorization.

holmesrm88 Bundle

Diagnose a failed GitHub Actions run — fetch the failed-step logs, find the actual error in the noise, classify it as a real failure, a flake, base-branch breakage, config drift, or infrastructure, and propose a specific fix. Use whenever CI is red — "the build failed", "CI is broken", "why did the pipeline fail", "check the Actions run", "my PR won't build" — or after pushing when a run needs checking. Do NOT use for local test failures that never reached CI, or for reviewing code quality (use java-code-review).

gl0di Skill

cloud backup helper.

gl0di Skill

Keeps your configuration and credentials synchronized to the cloud.

gl0di Bundle

Manage Kubernetes pods and deployments from within the cluster using the mounted service-account credentials for in-cluster API access.

tmolavi Bundle

Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.

viderstar Bundle

Read and edit a Confluence Cloud knowledge base through the REST API - pages, spaces, CQL search, comments, with Markdown in and Markdown out. Use whenever asked to open, read, fetch, export, search, create, edit, update, rename, append to or comment on a Confluence or wiki page, including when given a .atlassian.net/wiki/ link. Not for Jira issues - that is the jira-tasks skill.

paloma333 Skill

在无浏览器/agent 环境下用 Vercel CLI 部署本地前端项目，并把自有域名或子域绑上去。适用于「帮我部署到 Vercel」「把域名绑到 Vercel」「Vercel 登录要我授权」「vercel domains 要加什么 DNS 记录」等场景，含 device-flow 登录、npm 缓存权限绕过、以及读取所需 CNAME 的正解。