DevOps & Cloud

Deployment, cloud, containers, CI/CD, monitoring, and infrastructure

skills in category: 20,326
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Showing 9,289–9,312 of 20,326 skills

Api Docs StingerABuild and maintain API docs. Use for OpenAPI examples, renderer choice, hosting, SDK generation, or changelogs. Read README.md for the guide map.devopstypescriptpythonVotes: 0GitHub stars: 85
Ai Tools Platform StingerAChoose AI providers, gateways, local models, and MCP tools. Use when configuring an AI stack or reducing model spend. Read guides/ for the decision path.devopspythongoVotes: 0GitHub stars: 85
Combined Voice CreatorABuild a personal writing-voice skill from Littlebird history and a Facebook export. Use when both consented sources are available. Read README.md for the guide map.devopsrailsVotes: 0GitHub stars: 85
Release NotesAGenerate release notes from a Linear cycle — pulls completed issues, categorizes them, and formats the notes using the previous cycle's format as a template.devopsgobashVotes: 0GitHub stars: 3
Team ReleaseA编排发布团队协作管线，协调发布经理、DevOps 负责人、QA 负责人与安全负责人按序完成发布计划、部署准备、质量验证、安全审查与签发。devopsbashawsVotes: 0GitHub stars: 2
Team DevopsA编排 DevOps 团队协作管线，协调 DevOps 负责人、云架构师、DevOps 工程师与 SRE 工程师按序完成策略制定、云架构设计、CI/CD 实施与监控告警配置。devopsbashawsVotes: 0GitHub stars: 2
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Launch ChecklistA最终发布就绪度验证，运行最终测试、检查生产配置、验证监控告警与回滚方案并签发发布。devopsgobashVotes: 0GitHub stars: 2
Team ReleaseA编排发布团队协作管线，协调发布经理、DevOps 负责人、QA 负责人与安全负责人按序完成发布计划、部署准备、质量验证、安全审查与签发。devopsbashawsVotes: 0GitHub stars: 2
Team DevopsA编排 DevOps 团队协作管线，协调 DevOps 负责人、云架构师、DevOps 工程师与 SRE 工程师按序完成策略制定、云架构设计、CI/CD 实施与监控告警配置。devopsbashawsVotes: 0GitHub stars: 2
Launch ChecklistA最终发布就绪度验证，运行最终测试、检查生产配置、验证监控告警与回滚方案并签发发布。devopsgobashVotes: 0GitHub stars: 2
Role Data ScientistAData Scientist role within the AID methodology. Activate when working on: EDA, feasibility assessment, experiment planning, ML architecture, model development & validation, or production deployment & monitoring. Stack-agnostic — ask the user for their stack at the start of any new project.devopsgotestingVotes: 0GitHub stars: 9
Qa ShipA> **Source**: `../aid-qa-ship/SKILL.md` > > This file is a reference. The main skill definition is in the `.claude/skills/` directory.devopsVotes: 0GitHub stars: 9
Aid DiscoveryBAID Phase 0 - Research & discovery. Use for validating problem spaces, identifying stakeholders, defining success metrics, deciding whether to proceed.devopsgoVotes: 0GitHub stars: 9
Snap Speaker Nulling Deepfake DetectionADetect speech deepfakes by decomposing features into speaker, artifact, and context subspaces—nulling speaker information via PCA projection to isolate artifact patterns. Train minimal logistic regression classifier on orthogonally-projected representations, achieving 56% error reduction while maintaining cross-speaker and cross-TTS generalization.devopspythongoVotes: 0GitHub stars: 6
Session Risk Memory Temporal SafetyAAdd trajectory-level temporal authorization to stateless execution gates by maintaining a semantic centroid of agent behavioral profiles with exponential moving average risk accumulation. Improves F1 from 0.9756 to 1.0 and reduces false positives from 5% to 0% on slow-burn security violations. Use when deploying multi-turn agents and need to detect gradual privilege escalation and data exfiltration.devopspythonrustVotes: 0GitHub stars: 6
Pearl Personalized Streaming VideoADefines Personalized Streaming Video Understanding (PSVU) as a new task bridging static image personalization and video intelligence. PEARL-Bench (132 videos, 2173 annotations) establishes founding experiments. PEARL framework provides training-free plug-and-play strategy using dual-grained memory (concept + streaming) and concept-aware retrieval. Trigger: When building AI assistants that interact with streaming video and personalize on user-defined concepts, apply this problem definition and...devopspythongoVotes: 0GitHub stars: 6
Fluidworld Reaction Diffusion ModelsAReplace self-attention world models with reaction-diffusion PDEs as the predictive substrate. Demonstrate that aperiodic PDE dynamics achieve superior multi-step rollout stability and inherent error correction through Laplacian diffusion smoothing, while maintaining O(N) complexity and enabling autonomous corruption recovery.devopspythonreactVotes: 0GitHub stars: 6
Ego2web Egocentric Web Agent BenchmarkAEvaluate web agents on tasks grounded in first-person video perception with Ego2Web benchmark. Bridges egocentric video understanding and web agent execution across e-commerce and knowledge lookup domains. Includes Ego2WebJudge LLM-based evaluator achieving 84% human agreement, replacing unreliable domain-specific metrics. Reveals weak agent performance on physically-grounded tasks, highlighting the necessity of accurate multimodal visual understanding.devopsgogitVotes: 0GitHub stars: 6
Camouflage Attacks Vehicle DetectionACraft stealthy vehicle appearances that fool detectors by formulating attacks as conditional image editing. Apply image-level stylization (match surroundings) and scene-level strategies (match semantic concepts), achieve 38% AP50 reduction with 85%+ human perceptual success, and transfer to black-box detectors.devopspythongoVotes: 0GitHub stars: 6
Animalclap Taxonomy Aware PretrainingABuild taxonomy-aware audio-text pretraining systems for species recognition from animal vocalizations. Train contrastive models that augment text prompts with hierarchical taxonomic structure (scientific/common names, phylogenetic sequences), evaluate on unseen species via rare-species test sets, and predict ecological traits directly from audio.devopsdatabaseVotes: 0GitHub stars: 6
Additivellm2 Domain AdaptationAAdapt general LLMs to specialized manufacturing domains via domain-adaptive pretraining on open-access journals and visual instruction tuning. Extract 50M tokens and 24K images from peer-reviewed papers, achieve >90% accuracy on domain knowledge tasks, and enable real-time defect identification from manufacturing images.devopspythonapiVotes: 0GitHub stars: 6
Z Image Single Stream DiffusionAUnified text-image token processing in a compact 6B-parameter transformer enabling sub-second inference on enterprise GPUs through hierarchical distillation and single-stream architecture. Use when generating high-quality images with tight latency budgets or limited GPU memory.devopsVotes: 0GitHub stars: 6
Web Agent Training OptimizationAOptimize open-source LLM web agent training through systematic analysis of supervised fine-tuning vs. reinforcement learning trade-offs. Achieve 45% lower compute cost by branching into RL at strategic SFT checkpoints.devopspythongoVotes: 0GitHub stars: 6
Vlash Async VlaARolls forward robot state using previously generated actions to condition predictions on estimated future states, paired with temporal-offset training augmentation. Achieve 2× speedup and 17.4× latency reduction in vision-language-action models without architectural changes.devopspythonreactVotes: 0GitHub stars: 6