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Topic: claude

14,433 skills in this topic.

auditor_neuron Authoritative architectural auditor for the CyberXiuXian Workshop. Activates when performing project audits, code reviews, or enforcing modularity and zero-copy standards across Rust and Python.
tao3k/xiuxian-artisan-workshop 9
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
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
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
spec-verify Spec verification phase - tests, execution, rules audit, code review
maxritter/pilot-shell 1,637
spec-plan Spec planning phase - explore codebase, design plan, get approval
maxritter/pilot-shell 1,637
spec-implement Spec implementation phase - TDD loop for each task in the plan
maxritter/pilot-shell 1,637
spec-bugfix-verify Bugfix verification phase - tests, quality checks, fix confirmation
maxritter/pilot-shell 1,637
spec-bugfix-plan Bugfix spec planning phase - investigate root cause, design fix, get approval
maxritter/pilot-shell 1,637
spec
maxritter/pilot-shell 1,637
setup-rules Set up and audit project rules — reads codebase, generates modular rules, documents MCP servers
maxritter/pilot-shell 1,637
prd Generate Product Requirements Documents with optional research — brainstorm, challenge assumptions, define scope
maxritter/pilot-shell 1,637
debugging-dags Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
astronomer/agents 295
creating-openlineage-extractors Create custom OpenLineage extractors for Airflow operators. Use when the user needs lineage from unsupported or third-party operators, wants column-level lineage, or needs complex extraction logic beyond what inlets/outlets provide.
astronomer/agents 295
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
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
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
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
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
annotating-task-lineage Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.
astronomer/agents 295
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
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
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
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