云、CI/CD、监控、部署（7255 个）
Cloud control-plane exploitation for AWS, Azure/Entra, GCP, and Alibaba Cloud: IAM/RAM privilege escalation, impersonation, cross-account trust, serverless/compute control, and cloud-native persistence. Host OS persistence/C2 after root/SYSTEM belongs to /post. K8s RBAC belongs to /k8s. Operator chooses next modules; new identities default to /cloud-recon first.
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OS post-exploitation after a stable host foothold: quiet host recon, host-native persistence (Windows Run/tasks/services/COM/WMI and Linux SSH/cron/systemd/SUID), long-term C2 (Sliver primary, Mythic/Havoc optional), targeted collection and exfil, and engagement cleanup. Does not own AD/cloud/K8s native persistence, Ligolo pivoting, LSASS dumping, or EDR bypass. Operator selects objectives; success is a live callback, verified persistence, delivered loot, or restored host — not generating an unused implant.
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Cloud control-plane reconnaissance for AWS, Azure/Entra, GCP, and Alibaba Cloud: identity, IAM/RAM, trust, resources, metadata, and managed-Kubernetes cloud-side boundary. Recon only — no policy changes, no privilege escalation. Operator may select /cloud-attack or /k8s.
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Release the Donut application from an authorized immutable stable tag, or inspect application deployment status. Use for application releases, not independent cli-* releases or PR delivery.
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Set up and run the Donut dev environment on Cursor Cloud VM (no Nix). Use when working on Cloud VM, running tests on Cloud VM, or encountering command errors related to missing nix. Triggers on: cloud VM, cloud agent, no nix available, /workspace path.
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DevOps 与运维专家。精通 CI/CD、容器化、编排、基础设施即代码、监控告警和自动化部署。用于构建高效、可靠的软件交付流水线和运维系统。
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Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management (create, add, remove assets), crypto analysis (Top 20 by market cap), and periodic performance reports (daily/weekly/monthly/quarterly/yearly). 8 analysis dimensions for stocks, 3 for crypto. Use for stock analysis, portfolio tracking, earnings reactions, or crypto monitoring.
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Design or troubleshoot telemetry, SLOs, and incident diagnostics. Route to the relevant signal, system boundary, or vendor guide.
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Create or review Terraform infrastructure and plans. Use for cloud resources, IAM, networking, state management, and infrastructure changes.
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Look at a real track's waveform the way the app draws it, without the app. The probe decodes a file with the production waveform loader and draws it with the production renderer, laid out as the iOS scrubber lays it out, at any time and zoom, in any style, palette and appearance. It writes a PNG, and prints Spectrum's sections, the mix and band levels behind each pixel, and the progressive deliveries of a streaming load. It builds at any git ref, so one command draws main and the working tree one above the other. Use when a waveform looks wrong in a screenshot (a kick's shape, a color edge, a jump while loading), before and after any change under vibe-libs' waveform/Waveform, waveform/WaveformStyles or waveform/WaveformView, to show a look change to the user, or to put pictures in a PR.
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Checks a Dockerfile for common problems such as unpinned base images, running as root, ADD instead of COPY, secrets in ENV or ARG and apt-get without cleanup. Use when the user asks to review, harden or slim down a Dockerfile.
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Pythonic wrapper around RDKit with a simplified interface and sensible defaults. Preferred for standard drug discovery work — SMILES/SELFIES/InChI conversion, molecule standardization and sanitization, descriptors, ECFP and other fingerprints, Tanimoto distance matrices, Butina clustering and diverse subset picking, Bemis-Murcko scaffolds and scaffold splits, BRICS/RECAP fragmentation, 3D conformer generation, SDF/CSV/Excel and cloud I/O, and parallel processing via n_jobs. Returns native rdkit.Chem.Mol objects, so it composes with RDKit throughout. Also trigger on datamol, `import datamol as dm`, dm.to_mol, dm.standardize_mol, dm.cluster_mols, or dm.pick_diverse. For advanced control or custom parameters, use the rdkit skill directly.
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Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.
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Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.
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Use for infra, CI/CD, releases, repo policy, worktree cleanup and native desktop apps. Triggers: Dockerfile, K8s, IaC, SRE, Tauri, 스택 PR CI, 배포, 인프라, 쿠버네티스, 브랜치 정리, 브랜치 삭제, 워크트리 정리, 저장소 세팅, 브랜치 보호, 에이전트 PR, PR 정책, 데스크톱 앱, 메뉴 막대.
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DevOps patterns: containerization, CI/CD, deployment strategies, monitoring. Use when containerizing apps, setting up pipelines, or deploying services.
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Orchestrate the full Ultrapack workflow in Codex and Pi: create or resume a task file, design, plan, execute, verify, review, and validate the observable goal. Use when the user asks to build, fix, or deliver a non-trivial change with the complete workflow.
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Use when the user explicitly asks to launch and supervise a job. Require an authorized launch, monitoring, recovery, and teardown contract. Detect failures without inventing permission to restart or spend money.
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Advanced Docker containerization expert for multi-stage builds, image optimization, security hardening, and Compose orchestration. Use when the task involves `working with Dockerfile`, `docker-compose.yml`, `containerization`, `multi-stage builds`, or `optimizing Docker images`.
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Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
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Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
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Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.
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Skill for building with the Astro web framework. Helps create Astro components and pages, configure SSR adapters, set up content collections, deploy static sites, and manage project structure and CLI commands. Use when the user needs to work with Astro, mentions .astro files, asks about static site generation (SSG), islands architecture, content collections, or deploying an Astro project.
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Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.
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