DevOps & Infra

lihongwei-cn Skill

Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.

spike-faye-lei Skill

Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Use when user says "resubmit pipeline", "重投流程", "port paper to <new venue>", "resubmit to <venue>", "tighten paper for resubmission", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.

goingli0324 Bundle

系統化開發工作流，把「先研究 → 寫 plan.md → 依計畫實作 → 部署前雙閘驗證 → 部署」固定成一條可重複的迴圈，專為單人維護多個 Firebase / Google Apps Script / GCP Cloud Run 專案的情境設計。核心是「計畫先行、狀態外部化到檔案、依專案風險分級決定授權與驗證強度」，作為編排器串接三個既有 skill：進入專案前若尚未建立連動禁區 → project-guardrails 分析並寫入 CLAUDE.md，規劃時據以避開「改 A 壞 B」；部署前 Verify 雙閘 → web-security-reviewer 做安全/個資/壓力驗證、ui-ux-deploy-reviewer 做 UI/UX 與呈現層審查（僅當有前端介面）。MANDATORY TRIGGERS：使用者說「開一個新功能」「幫我規劃這個開發」「從頭把這個功能做到上線」「先研究再做」「整理成 plan.md」「這個專案要怎麼做（指要從規劃做到上線，不是單純問方向）」「修這個 bug（要有計畫地修）」「<專案名> 要加東西」（以專案名開頭的開發需求）「要部署到 Firebase / Cloud Run」「GAS 寫一個…」「我有個想法想做成工具」「幫我排開發的步驟」「走完整個開發到部署的流程」，或貼上 issue 連結、錯誤截圖、需求描述並希望有系統地把它從規劃做到上線時，都要套用此 skill。注意分流：若使用者只要「單獨檢查 UI/UX」用 ui-ux-deploy-reviewer、只要「單獨做安全審查」用 web-security-reviewer、只要「分析專案禁區」用 project-guardrails；本 skill 是把這些串成完整迴圈的編排器，當意圖是「有規劃、可重現、會走到上線」的整段開發時才觸發。**重要安全防漏：若使用者說的是泛泛的「部署前檢查」「上線前幫我檢查」而沒指明只要 UI/UX 或只要安全，應由本 skill 接手走 Verify 雙閘（同時跑 web-security-reviewer 與 ui-ux-deploy-reviewer），絕不要只做其中一道——尤其不要只做 UI/UX 而漏掉安全閘，那會讓含學生個資的專案在沒過安全驗證下就上線。**SCOPE：本 skill 是工作流編排器，不取代使用者對計畫的閱讀與判斷；只在使用者自己的專案上運作，不協助繞過授權

goingli0324 Bundle

部署前的 UI/UX 總體檢。以全球公認的 20 項 UI/UX 原則(Nielsen 十大易用性啟發法 + 互動心理學定律 + 可及性與適應性)逐項審視網站或 Web App 的前端程式碼與使用者體驗,輸出「依嚴重度排序的問題清單 + 修正建議 + 部署放行檢核表」。MANDATORY TRIGGERS:使用者說「部署前 UI/UX 檢查」「deploy 前跑一次 UI/UX」「上線前幫我檢查 UI/UX」「審查 UI/UX」「用 20 原則檢視」「這個網站好不好用」「易用性審查」「heuristic evaluation」「檢查使用者體驗」,或在準備 firebase deploy / 上線 / 發布前要求做最後檢查時,都要套用此 skill。即使使用者沒明說「UI/UX」,只要意圖是部署前對介面與體驗做整體審視,就觸發。SCOPE:本 skill 審查 UI/UX 與呈現層程式碼品質;資訊安全審查請改用 web-security-reviewer。本 skill 同時是 agentic-dev-loop「Verify 雙閘」的 UI/UX 閘。分流原則：泛泛的「部署前／上線前檢查」（未指明只要 UI/UX）應交給 agentic-dev-loop 走雙閘，以免漏掉安全審查；本 skill 只在意圖明確聚焦 UI/UX／易用性／20 原則時觸發。

huhuhuxiao Bundle

Think like a top researcher when surveying literature, choosing problems, and forming paper ideas. Distills the research methodology of Pengsida (彭思达/learning_research) — literature tree, goal-driven research, well-established-solution test, technique combination — plus the wisdom of John Schulman, 叶小飞, Bill Freeman, Michael Nielsen, Hamming, 周志华, 李武军, 杨植麟, and DCEM into an actionable taste-and-method workflow. Use when user says "帮我想idea", "调研文献想想方向", "这个idea值得做吗", "选题", "像大佬一样做科研", "penggod", "research taste", "goal-driven research", "literature tree", "is this problem worth it", or wants principled guidance on choosing a research problem rather than a mechanical idea pipeline.

idotmy Bundle

Create, deploy, and manage decentralized Web3 forms and surveys on EVM smart contracts via Model Context Protocol (MCP).

ifixai-ai Skill

Guide the user through an independent iFixAi audit of their own agent, checking whether it does the job it is supposed to do given their business rules and org structure. Prefer pointing it at the user's REAL deployed agent over its HTTP endpoint (its actual tools, retrieval, and governance) with `--provider http --endpoint <url>`; only when no endpoint is reachable, fall back to replicating the model beneath as a bare stand-in (Anthropic, OpenAI, Gemini, Azure, Bedrock, etc.). Graded by the judge(s) of their choice (the same model, one independent judge, or a cross-vendor panel). You are the operator who walks them through it and explains the scorecard, running the SAME `ifixai run` engine as the guided CLI. Use when the user asks to run iFixAi or to audit an agent.

jaccen Bundle

Academic paper writing skill for 3D vision, computer graphics, CAD, and 3D understanding. Covers NeRF, 3D Gaussian Splatting, multi-view stereo, SLAM, point cloud processing, 3D shape understanding/generation, CAD modeling, reverse engineering, 3D scene understanding. Use when the user asks to write, refine, or polish academic papers in CG/3D vision venues (CVPR, ICCV, ECCV, SIGGRAPH, EG, PG, TVCG, CGF) or doctoral dissertations. Provides domain terminology conventions, reviewer concern analysis, experiment design guidance, and venue-specific writing patterns. Trigger on: paper writing, draft refinement, rebuttal, introduction/related work/methodology/experiment sections, abstract, contribution summary.

jasperpwang Bundle

Use this skill whenever the user wants to learn, understand, explain, clarify, rebuild, review, or study a concept, language point, research paper, method, pipeline, mathematical idea, scientific model, programming concept, or domain vocabulary. Trigger it for natural learning requests such as "I want to understand X", "teach me X", "help me learn X", "explain X in simple words", "我想学/理解/搞懂 X", "帮我讲清楚 X", "这篇论文/这个方法我没懂", IELTS/TOEFL English learning, graduate job/internship interview preparation, research ability building, research project planning, literature survey field mapping, or Obsidian-ready note generation. The user does not need to mention Feynman or the skill name.

jeffweisbein Bundle

Browser-driven smoke test. Drive a real browser through a deployed web app, capture screenshots + console/network errors, return deterministic pass/fail. Use after a deploy to prove the live app actually works (not just returns 200), or to verify a preview URL before merge. The teeth behind the ship-loop smoke step.

wolfe-jam-faf-skills Skill

Championship-grade repository maintenance. Audits for test artifacts, dependency issues, CI/CD health, documentation sync, and FAF alignment. Generates prioritized cleanup plans. Use when repos need deep cleaning or ongoing maintenance.

andrewyng Skill

Deployment automation skill for CI/CD pipelines

marttp Skill

Use when user needs DevOps, CI/CD, or infrastructure automation help. Examples: "set up a CI/CD pipeline", "containerize an application", "configure Terraform IaC", "automate deployments", "set up monitoring and alerting"

aetherlight-ai Skill

Publish ÆtherLight releases to npm and GitHub. Use when the user wants to publish, release, or deploy a new version. Automatically handles version bumping, compilation, verification, and publishing.

gemini-cli-extensions-data-agent-kit-starter-pack Skill

**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or critical project assets. Use this for: - SQL: DROP TABLE/VIEW/SCHEMA/DATABASE, TRUNCATE, or broad DELETE (missing WHERE or using 1=1). - Cloud Storage: gsutil rm or gcloud storage rm targeting production data or critical buckets. - Infrastructure: gcloud projects delete, deleting Spanner/BigQuery/Dataproc resources, deleting secrets, or KMS key destruction.

azure-azure-sdk-for-net Bundle

Roll dice using a random number generator.

yunaamelia Skill

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

novaai-innovation Skill

PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.

github Skill

Prepare an open pull request for merge from a GitHub Copilot cloud agent. Drives Reviews, local validation, and Mergeable to a ready state. Does not merge, and cannot trigger CI.

aws-samples Bundle

Use when an alarm fires, a user reports an outage or degradation, or when you need to quickly assess severity, identify affected services, and determine immediate next steps. Also use when the user says "有告警", "服务挂了", "出问题了", "incident", or "on-call". Focuses on the FIRST 5 MINUTES: classify severity, scope blast radius, route to action. For deep diagnosis use aws-troubleshooting or log-diagnosis.

context-labs Bundle

The end-to-end playbook for building a NET-NEW feature in the inference monorepo — the umbrella that turns "I want to build X" into shipped, observable, well-tested, service-pattern-compliant code. Use this whenever the user wants to add a feature, endpoint, page, service, queue consumer, cron, or capability ("build…", "add…", "implement…", "we need a way to…", "spec out…", "let's ship…", "wire up…", "expose…"), even if they don't say the word "feature", and even if they hand you a half-formed idea. It clarifies ambiguity first, grounds the work in the product's first principles, writes a living plan in `.ai-docs/`, delegates implementation across a diverse set of models, keeps the code observable and functional, runs the test + `task check` gates, and drives adversarial review. Prefer this skill over jumping straight into code for anything larger than a one-file change. Do NOT use it for pure debugging of an existing bug (use `fixing-a-bug`), ops/infra queries, or narrow scaffolds already owned by a dedicate

appwrite Skill

Appwrite CLI skill. Use when managing Appwrite projects from the command line. Covers installation, login, project initialization, multi-file project configuration, deploying functions/sites/tables/buckets/teams/webhooks/topics, flag-based list queries, non-interactive CI/CD mode, and generating type-safe SDKs.

dlt-hub Skill

The entry point for building anything with dlthub. Use this skill to route the user to the right workflow toolkit and install it on demand. MUST use when the user asks 'what can you do', 'what can I build', 'what are toolkits', 'how do I build a pipeline', 'I want to pull data from a REST API', 'ingest from a SQL database', 'load CSVs from S3', 'make reports / dashboards', 'transform / model my data', 'add data quality checks', 'how do I deploy / schedule a pipeline', 'I'm new to dlthub', 'where do I start', or seems unsure what to do next after setup. Also use whenever the user expresses a data-engineering goal but no matching workflow toolkit is installed yet — this skill installs it on demand. Do NOT use when the toolkit matching the user's intent is already installed — go straight to its entry skill instead; only route/install when the matching toolkit is missing. Do NOT use when a specific task is already in progress (debugging a pipeline, validating data, adding endpoints) and its toolkit is installed.…

damionrashford Bundle

Use when building a skill, creating a SKILL.md, packaging a workflow, making a slash command, or asked "how do I make a skill". Scaffolds the folder, generates SKILL.md from a template, validates against spec. Produces a complete ready-to-deploy skill folder: scripts, references, assets. Also use to review or improve an existing skill.

notque Bundle

Audit trail investigation on SAP Converged Cloud using Hermes. Triggers: audit, who changed, what happened, hermes, events, compliance, CADF, activity log, trace action, who did, what was done, event history

tools-only Bundle

Docker Basics

tools-only Bundle

Kubernetes Chaos Engineering

tools-only Bundle

Kubernetes Storage

googlecloudplatform Skill

End-to-end workflow for contributing to Cloud Foundation Fabric: triaging GitHub issues, proactive feature development, validating with tests and Policy Troubleshooter, and submitting sanitized Pull Requests. Use when addressing a Fabric GitHub issue, developing a module or FAST stage change, or preparing a branch for a pull request.

natea Bundle

Create Fabro workflow DOT graphs and TOML run configurations from natural language requirements. Use when the user wants to create a new workflow, build a pipeline, design a multi-step agent process, or write a .fabro or .toml file for Fabro. Covers topology selection, node types, model assignment, edge routing, and run configuration.

aapanel Bundle

宝塔面板 Skill，让 AI Agent 调用宝塔面板能力，管理网站、文件、数据库、Docker、计划任务及服务器环境，完成状态查询、故障排查和安全检查等日常运维操作；支持自动部署宝塔面板与 MCP 服务，并接入 Claude Code、Codex、Cursor、WorkBuddy 等 AI Agent。当用户需要通过 AI 管理服务器、安装宝塔面板或配置宝塔 MCP 服务时使用。

openclaw Skill

Use Crabbox from macOS, Linux, or native Windows controllers to run OpenClaw Windows node builds, tests, and targeted proof on remote native Windows or WSL2 hosts, including Azure or brokered AWS leases and static SSH hosts. Use when remote Windows validation is needed or the user asks for Crabbox validation. Always report the actual provider, lease id, run URL, command, and result.

vigolium Bundle

Use when operating the vigolium CLI for web vulnerability scanning, security testing, traffic ingestion, server management, AI agent-driven scanning and code review, cloud-storage management, or writing custom JavaScript extensions. Invoke for scan commands, scan-url, scan-request, run, ingest, server, agent (query/autopilot/swarm/olium/piolium/audit/session), traffic browsing, database queries, storage uploads/downloads, module management, extension scripting, export, project management, and configuration tuning.

fugazi Bundle

A relentless interview to stress-test QA automation plans, test strategies, and framework designs before implementation. Use when the user wants to validate a test architecture, challenge a testing decision, prepare an AI-assisted testing rollout, or uses any 'grill' trigger phrases. Covers test strategy, framework selection, AI integration, CI/CD, maintainability, and quality engineering.

aws-samples Bundle

Design and configure Amazon API Gateway APIs. Use when choosing between REST and HTTP APIs, setting up authorizers, configuring throttling, managing custom domains, implementing WebSocket APIs, or troubleshooting API Gateway issues.

nearai Bundle

Cross-platform executive operations skill for the IronClaw agent. The agent operates as chief of staff to a C-suite executive, coordinating across email, calendar, code, projects, and outbound partner messaging via Google Workspace, GitHub, GitLab, ClickUp, and WhatsApp. Designed for one-click deploy demos to enterprise partners (financial services, banking groups, software firms) with proper OAuth and System User credentials provisioned at deploy time. Pairs prose guidance for the LLM with deterministic Python scripts in `python_scripts/` for the canonical recurring workflows.