Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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grey-haven-prompt-engineering
Master 26 documented prompt engineering principles for crafting effective LLM prompts with 400%+ quality improvement. Includes templates, anti-patterns, and quality checklists for technical, learning, creative, and research tasks. Use when writing prompts for LLMs, improving AI response quality, training on prompting, designing agent instructions, or when user mentions 'prompt engineering', 'better prompts', 'LLM quality', 'prompt templates', 'AI prompts', 'prompt principles', or 'prompt optimization'.
greyhaven-ai/claude-code-config 23
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grey-haven-tool-design
Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool interfaces, optimizing tool sets, or when user mentions 'tool design', 'MCP', 'fewer tools', 'tool consolidation', 'tool architecture', or 'tool optimization'.
greyhaven-ai/claude-code-config 23
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grey-haven-documentation-alignment
6-phase verification system ensuring code matches documentation with automated alignment scoring (signature, type, behavior, error, example checks). Reduces onboarding friction 40%. Use when verifying code-docs alignment, onboarding developers, after code changes, pre-release documentation checks, or when user mentions 'docs out of sync', 'documentation verification', 'code-docs alignment', 'docs accuracy', 'documentation drift', or 'verify documentation'.
greyhaven-ai/claude-code-config 23
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grey-haven-tdd-orchestration
Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan approval gates, or falls back to sequential subagent coordination. Coordinates tdd-python, tdd-typescript, and test-generator agents. Use when implementing features with TDD workflow, coordinating multiple TDD agents, enforcing test-first development, orchestrating TDD teams, or when user mentions 'TDD workflow', 'test-first', 'TDD orchestration', 'multi-agent TDD', 'test coverage', or 'red-green-refactor'.
greyhaven-ai/claude-code-config 23
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grey-haven-performance-optimization
Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.
greyhaven-ai/claude-code-config 23
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grey-haven-llm-project-development
Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features, data processing pipelines, agents, or any LLM-integrated system. Inspired by Karpathy's methodology and production case studies.
greyhaven-ai/claude-code-config 23
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grey-haven-tdd-typescript
TypeScript/JavaScript Test-Driven Development with Vitest, strict red-green-refactor methodology, React component testing, and comprehensive coverage patterns. Use when implementing TypeScript features with TDD, writing Vitest tests, testing React components, developing with test-first approach, or when user mentions 'TypeScript TDD', 'Vitest', 'React testing', 'JavaScript TDD', 'red-green-refactor', 'TypeScript unit tests', or 'test-driven TypeScript'.
greyhaven-ai/claude-code-config 23
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grey-haven-code-quality-analysis
Multi-mode code quality analysis covering security reviews (OWASP Top 10), clarity refactoring (readability rules), and synthesis analysis (cross-file issues). Supports team-mode parallel analysis when invoked from quality-pipeline. Use when reviewing code for security vulnerabilities, improving code readability, conducting quality audits, pre-deployment checks, or when user mentions 'code quality', 'code review', 'security review', 'refactoring', 'code smell', 'OWASP', 'code clarity', or 'quality audit'.
greyhaven-ai/claude-code-config 23
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gke-expert
Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization. Use when working with GKE clusters, Kubernetes deployments on GCP, container orchestration, or when users need help with kubectl commands, GKE networking, autoscaling, workload identity, or GKE-specific features like Autopilot, Binary Authorization, or Config Sync.
AdminTurnedDevOps/agentic-demo-repo 22
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gke-expert
Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization. Use when working with GKE clusters, Kubernetes deployments on GCP, container orchestration, or when users need help with kubectl commands, GKE networking, autoscaling, workload identity, or GKE-specific features like Autopilot, Binary Authorization, or Config Sync.
AdminTurnedDevOps/agentic-demo-repo 22
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agentgatwayskill
AdminTurnedDevOps/agentic-demo-repo 22
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k8sskill
AdminTurnedDevOps/agentic-demo-repo 22
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agentgateway-expert
Expert guidance for Agent Gateway design, configuration, and troubleshooting across Solo enterprise 2.1.x and OSS Kubernetes latest. Use when Codex needs to create, review, or debug Kubernetes Gateway API and Agent Gateway resources such as Gateway, HTTPRoute, AgentgatewayBackend, AgentgatewayPolicy, and EnterpriseAgentgatewayPolicy; implement LLM routing/failover, prompt guards, MCP connectivity/auth/tool access, and observability; or map requirements to working manifests by reusing examples from this repository plus docs.solo.io/agentgateway/2.1.x and agentgateway.dev/docs/kubernetes/latest.
AdminTurnedDevOps/agentic-demo-repo 22
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kagent-platform
Install, configure, use, debug, and troubleshoot kagent OSS and Solo Enterprise for kagent on Kubernetes. Use when Codex needs to author or review kagent manifests, Helm values, model and MCP server configuration, agent prompts or skills, or diagnose runtime, authn, and authz issues across OSS and Enterprise deployments, including AccessPolicy, OIDC, management/workload topology, and repo-versus-doc API drift.
AdminTurnedDevOps/agentic-demo-repo 22
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testing-dags
Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
astronomer/agents 295
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managing-astro-local-env
Manage local Airflow environment with Astro CLI. Use when the user wants to start, stop, or restart Airflow, view logs, troubleshoot containers, or fix environment issues. For project setup, see setting-up-astro-project.
astronomer/agents 295
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analyzing-data
Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.
astronomer/agents 295
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setting-up-astro-project
Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.
astronomer/agents 295
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tracing-upstream-lineage
Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.
astronomer/agents 295
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airflow-plugins
Build Airflow 3.1+ plugins that embed FastAPI apps, custom UI pages, React components, middleware, macros, and operator links directly into the Airflow UI. Use this skill whenever the user wants to create an Airflow plugin, add a custom UI page or nav entry to Airflow, build FastAPI-backed endpoints inside Airflow, serve static assets from a plugin, embed a React app in the Airflow UI, add middleware to the Airflow API server, create custom operator extra links, or call the Airflow REST API from inside a plugin. Also trigger when the user mentions AirflowPlugin, fastapi_apps, external_views, react_apps, plugin registration, or embedding a web app in Airflow 3.1+. If someone is building anything custom inside Airflow 3.1+ that involves Python and a browser-facing interface, this skill almost certainly applies.
astronomer/agents 295
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warehouse-init
Initialize warehouse schema discovery. Generates .astro/warehouse.md with all table metadata for instant lookups. Run once per project, refresh when schema changes. Use when user says "/astronomer-data:warehouse-init" or asks to set up data discovery.
astronomer/agents 295
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cosmos-dbt-fusion
Use when running a dbt Fusion project with Astronomer Cosmos. Covers Cosmos 1.11+ configuration for Fusion on Snowflake/Databricks with ExecutionMode.LOCAL. Before implementing, verify dbt engine is Fusion (not Core), warehouse is supported, and local execution is acceptable. Does not cover dbt Core.
astronomer/agents 295
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authoring-dags
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
astronomer/agents 295
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cosmos-dbt-core
Use when turning a dbt Core project into an Airflow DAG/TaskGroup using Astronomer Cosmos. Does not cover dbt Fusion. Before implementing, verify dbt engine, warehouse, Airflow version, execution environment, DAG vs TaskGroup, and manifest availability.
astronomer/agents 295