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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 15,001–15,024 of 19,589 skills
- Inngest Durable FunctionsUse when building functions that must survive process crashes, retry automatically on failure, run on a schedule, react to events, or maintain state across infrastructure failures — e.g., webhook handlers that drop events, flaky cron jobs, background jobs that fail mid-execution, or workflows that need to resume where they left off. Covers Inngest function configuration, triggers (events, cron, invoke), step execution and memoization, idempotency, cancellation, error handling, retries, loggin...Votes: 0GitHub stars: 382
- Terragrunt SkillGenerate, validate, review and debug Terragrunt 1.x configurations (root.hcl, terragrunt.hcl, terragrunt.stack.hcl, units, stacks, catalogs) on AWS, Azure and GCP. Use whenever the user mentions Terragrunt, root.hcl, stack files, run --all, dependency blocks, DRY remote state or HCL orchestration of OpenTofu/Terraform, shows Terragrunt HCL, or asks to scaffold, lint or diagnose a multi-environment IaC layout.Votes: 0GitHub stars: 7
- Stata ToolkitActivate when users mention Stata commands, .do files, regressions, econometrics, stored results, graphs, dataset inspection, replication, or Stata errors. Route the task through mcp-stata tools and the specialized research skills instead of treating it as plain text coding.Votes: 0GitHub stars: 3,639
- Tdd WorkflowTest-driven development workflow for R using testthat. Use when writing new features, fixing bugs, or refactoring code. Enforces test-first development with 80%+ coverage.Votes: 0GitHub stars: 3,639
- R Package DevelopmentR package development guide covering dependencies, API design, testing, and documentation. Use when developing R packages.Votes: 0GitHub stars: 3,639
- Vlm Ocr PipelineVLM-based OCR pipeline: model selection, prompts, architecture, evaluation.Votes: 0GitHub stars: 3,639
- Post Ocr CleanupClean post-OCR text: correction, QA, multilingual handling, provenance.Votes: 0GitHub stars: 3,639
- Anomaly Detection Papers GuideIndustrial anomaly detection methods and benchmark papersVotes: 0GitHub stars: 3,639
- Ai Agent Papers GuideCurated 2024-2026 AI agent research papers collectionVotes: 0GitHub stars: 3,639
- Ai Ml27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.Votes: 0GitHub stars: 3,639
- Redash Analytics GuideGuide to Redash for SQL-driven research data dashboards and sharingVotes: 0GitHub stars: 3,639
- Metabase Analytics GuideGuide to Metabase for open-source research data analytics and dashboardsVotes: 0GitHub stars: 3,639
- Run ExperimentDeploy and run ML experiments on local or remote GPU servers. Use when user says \"run experiment\", \"deploy to server\", \"\u8dd1\u5b9e\u9a8c\", or needs to launch training jobs.Votes: 0GitHub stars: 3,639
- Auto Review LoopAutonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says \"auto review loop\", \"review until it passes\", or wants autonomous iterative improvement.Votes: 0GitHub stars: 3,639
- Auto Review LoopAutonomous multi-round research review loop. Repeatedly reviews using Gemini via gemini-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says \"auto review loop\", \"review until it passes\", or wants autonomous iterative improvement.Votes: 0GitHub stars: 3,639
- Auto Review LoopAutonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says \"auto review loop\", \"review until it passes\", or wants autonomous iterative improvement.Votes: 0GitHub stars: 3,639
- Run ExperimentDeploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.Votes: 0GitHub stars: 3,639
- Mermaid DiagramGenerate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.Votes: 0GitHub stars: 3,639
- Data DepositPrepare a replication package for the sewage-house-prices project. Generates AEA-compliant README, master script, numbered script order, install script, and deposit checklist. Validates the package against 10 verification checks. This skill should be used when asked to "prepare replication", "data deposit", "create replication package", or "package for submission".Votes: 0GitHub stars: 3,639
- Data AnalysisEnd-to-end R data analysis for the sewage project. Writes analysis scripts following project conventions (here::here, arrow/parquet, fixest, modelsummary, native pipe), runs code review, and produces publication-ready tables and figures. This skill should be used when asked to "run an analysis", "estimate the model", "add a specification", or "write an R script".Votes: 0GitHub stars: 3,639
- Uv Package ManagerMaster the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.Votes: 0GitHub stars: 3,639
- Algorithm DesignerDesign and document statistical algorithms with pseudocode and complexity analysisVotes: 0GitHub stars: 3,639
- Redistricting AnalysisRedistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization...Votes: 0GitHub stars: 3,639
- MarimoReactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment. Use when assembling Stage 9 notebooks, building data apps, or converting Jupyter to marimo .py format.Votes: 0GitHub stars: 3,639