Topic: claude
14,433 skills in this topic.
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auditor_neuron
tao3k/xiuxian-artisan-workshop 9
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smart-docs
AI-powered comprehensive codebase documentation generator. Analyzes project structure, identifies architecture patterns, creates C4 model diagrams, and generates professional technical documentation. Use when users need to document codebases, understand software architecture, create technical specs, or generate developer guides. Supports all programming languages. Alternative to Litho/deepwiki-rs that uses Claude Code subscription without external API costs.
sopaco/deepwiki-rs 858
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deepwiki-rs
AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Use when Claude needs to analyze source code, understand software architecture, generate technical specs, or create professional documentation from any programming language.
sopaco/deepwiki-rs 858
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create-skill
Create a well-structured skill — provide a topic to explore the codebase and build a skill interactively, or capture a workflow from the current session
maxritter/pilot-shell 1,637
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spec-verify
Spec verification phase - tests, execution, rules audit, code review
maxritter/pilot-shell 1,637
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spec-plan
Spec planning phase - explore codebase, design plan, get approval
maxritter/pilot-shell 1,637
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spec-implement
Spec implementation phase - TDD loop for each task in the plan
maxritter/pilot-shell 1,637
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spec-bugfix-verify
Bugfix verification phase - tests, quality checks, fix confirmation
maxritter/pilot-shell 1,637
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spec-bugfix-plan
Bugfix spec planning phase - investigate root cause, design fix, get approval
maxritter/pilot-shell 1,637
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spec
maxritter/pilot-shell 1,637
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setup-rules
Set up and audit project rules — reads codebase, generates modular rules, documents MCP servers
maxritter/pilot-shell 1,637
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prd
Generate Product Requirements Documents with optional research — brainstorm, challenge assumptions, define scope
maxritter/pilot-shell 1,637
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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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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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profiling-tables
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
astronomer/agents 295
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migrating-airflow-2-to-3
Guide for migrating Apache Airflow 2.x projects to Airflow 3.x. Use when the user mentions Airflow 3 migration, upgrade, compatibility issues, breaking changes, or wants to modernize their Airflow codebase. If you detect Airflow 2.x code that needs migration, prompt the user and ask if they want you to help upgrade. Always load this skill as the first step for any migration-related request.
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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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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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
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checking-freshness
Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.
astronomer/agents 295
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blueprint
Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, validating configurations, or enabling no-code DAG authoring for non-engineers.
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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airflow-hitl
Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator. Requires Airflow 3.1+. Does not cover AI/LLM calls (see airflow-ai).
astronomer/agents 295
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airflow
Manages Apache Airflow operations including listing, testing, running, and debugging DAGs, viewing task logs, checking connections and variables, and monitoring system health. Use when working with Airflow DAGs, pipelines, workflows, or tasks, or when the user mentions testing dags, running pipelines, debugging workflows, dag failures, task errors, dag status, pipeline status, list dags, show connections, check variables, or airflow health.
astronomer/agents 295