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Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 3,529–3,552 of 19,628 skills
- EsmUse when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.Votes: 0GitHub stars: 9
- Codex Expo Run ActionsWire Expo projects into the Codex app with project-local run scripts and .codex/environments/environment.toml actions. Use when the user wants the Codex app Run button, build/run actions, action buttons, or a stable Expo start/run workflow from Codex.Votes: 0GitHub stars: 9
- CloudflareComprehensive 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.Votes: 0GitHub stars: 9
- Circleci ConfigOptimize CircleCI configuration for speed, reliability, and maintainability. Use when users ask to improve `.circleci/config.yml`, reduce CI runtime, tune caching/workspaces/parallelism, remove pipeline waste, or fix flaky pipeline behavior caused by configuration choices.Votes: 0GitHub stars: 9
- LinuxZoom Meeting SDK for Linux - C++ headless meeting bots with raw audio/video access, transcription, recording, and AI integration for server-side automationVotes: 0GitHub stars: 9
- Qovery AssessRuns a read-only assessment of an entire Qovery organization and produces a shareable gap analysis against production best practices. Inventories clusters, environments and services with GET-only API calls, reads deployment and runtime logs (redacted on write), audit events, and variables, then scores reliability, security, performance, delivery, cost and disaster recovery — covering replica counts, health probes, zone spread, database exposure and backups, secrets in variables or logs, alias...Votes: 0GitHub stars: 12
- Ascend Profiler Collect AdaptionAdapt torch_npu.profiler interface for AI frameworks and training/inference code on Ascend NPU. Use this skill whenever users need to integrate profiling, add performance data collection, or instrument PyTorch code with torch_npu.profiler on Huawei Ascend NPU platforms. Triggers on: "torch_npu profiler", "NPU profiling", "Ascend profiler", "profiler adaptation", "profile training", "profile inference", "add profiler to framework", "性能采集", "profiling 数据", "昇腾 profiler", and any request to add ...Votes: 0GitHub stars: 31
- Msot Msopprof Operator Profiler当用户希望使用 msOpProf（`msprof op` / `msprof op simulator`）对昇腾 AI 算子做上板或仿真性能调优、解释 `aic-metrics`/`trace.json`/`visualize_data.bin`、选择 device vs simulator 路径、排查 `--soc-version`/`--export`/`signal 6`/`Bad address`/热点图或流水图相关问题，或要求生成固定分析报告模板（算子基本信息 / 关键数据 TOP5 / 核心瓶颈 TOP5 / 优化建议 TOP5）时，使用本技能。它负责先判定模式、输入形态与芯片/能力边界，再给出正确命令、结果解读、固定报告输出与高频踩坑规避；不要把经验案例当成通用规则。Votes: 0GitHub stars: 31
- Reversa ScoutMapeia a superfície do projeto legado — estrutura de pastas, linguagens, frameworks, dependências e entry points. Use no início de uma análise de engenharia reversa para criar o inventário inicial do projeto.Votes: 0GitHub stars: 31
- Reversa ArchitectSintetiza a análise do projeto legado em documentação arquitetural completa — diagramas C4, ERD completo, mapa de integrações e Spec Impact Matrix. Use na fase de interpretação após o reversa-detective.Votes: 0GitHub stars: 31
- Ci Cd ArchitectCI/CD principles — pipeline taxonomy, trigger design, supply-chain hygiene (SHA-pinned actions), OIDC cloud auth, caching, matrix strategy, test gates, release automation, deployment strategies. Suggestion-mode (trade-offs over mandates). GitHub Actions recipes in RECIPES.md. Use when designing, reviewing, or scaffolding CI/CD workflows.Votes: 0GitHub stars: 2
- 06 Databricks Aibi Custom Pages ReactBuild full-page, high-fidelity React "custom pages" inside a Databricks AI/BI (Lakeview) dashboard — the mechanism behind pixel-perfect, custom-app-like dashboards (composite KPI cards, in-cell sparklines, custom filter chips, status pills, email-preview surfaces). A custom page is a single widget whose `multilineTextboxSpec.lines` carry a `<!-- @custom-page -->` marker followed by a JSON envelope `{code, manifest, datasetMap}`, where `code` is CommonJS React that reads dashboard datasets thr...Votes: 0GitHub stars: 6
- 05 Databricks Aibi Custom Viz VegaBuild high-fidelity custom charts inside Databricks AI/BI (Lakeview) dashboards using Vega-Lite custom visualizations (Public Preview). Covers the documented contract — the `databricks_query` data source, Fields-section Name references, theme-aware signals (`colors`, `mode`, `dashboardTheme`), and cross-filtering via the reserved `databricks_mark_selection` parameter. Use when the built-in widget types in 02-databricks-aibi-dashboards cannot express the chart you need, but you still want a do...Votes: 0GitHub stars: 6
- Kctf 10 Vm Pwn- ELF64 PIE stripped C++，Full RELRO/NX/canary；题目 libc 为 Ubuntu 18.04 glibc-2.27（buildid f7307432…）。 - REPL 每行一条语句，仅回显提示符/错误；远程 `123.57.66.184:10053`。 - 成功 flag：`flag{3f9a4448-f46b-4227-802f-3a5fdb3bfc6d}`。Votes: 0GitHub stars: 271
- Repo Health CuratorCurate accumulated tracked and untracked repository changes into secret-safe checkpoint branches and reviewable pull requests. Use for scheduled repository health automation, dirty worktree backlogs, generated documentation drift, advisory validation failures, secret remediation, checkpoint commits, cloud-agent handoff, or cleanup of local server repository copies without discarding work.Votes: 0GitHub stars: 2
- Ms Wdro Graph LearningMulti-Source Wasserstein Distributionally Robust Graph Learning (MS-WDRO) framework for heterogeneous brain connectivity learning. Uses Wasserstein barycenter fusion to preserve intrinsic geometry of heterogeneous sources while building ambiguity balls for robustness. Activation: MS-WDRO, multi-source graph learning, Wasserstein graph fusion, heterogeneous brain networks, distributionally robust graph learningVotes: 0GitHub stars: 3
- Off Switch Dual Use KnowledgeOff switch for dual-use knowledge using GRAM methodology.Votes: 0GitHub stars: 3
- Active Spiking Perception 3d RecognitionActive Spiking Perception (ASP) framework for anytime 3D point cloud recognition using membrane potential as belief state. Use when working with spiking neural networks for 3D recognition, active perception, or anytime inference with confidence-based early exit.Votes: 0GitHub stars: 3
- Gitlab CiConfigure GitLab CI/CD pipelines and runners for automated building, testing, and deployment.Votes: 0GitHub stars: 6
- Github ActionsBuild, test, and deploy applications using GitHub Actions workflows.Votes: 0GitHub stars: 6
- Gcp GkeDeploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.Votes: 0GitHub stars: 6
- Firewall ConfigConfigure iptables, nftables, and cloud firewalls. Implement network segmentation and traffic filtering. Use when securing network perimeters or implementing security zones.Votes: 0GitHub stars: 6
- Elk StackDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.Votes: 0GitHub stars: 6
- Ebpf ObservabilityUse eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.Votes: 0GitHub stars: 6