data-analysis
313
stata-regression
Run regression analyses in Stata with publication-ready output tables.
meleantonio
data-ai
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scientific-computing
313
econ-visualization
Create publication-quality charts and graphs for economics papers.
meleantonio
research
data-analysis
313
python-panel-data
Panel data analysis with Python using linearmodels and pandas.
meleantonio
data-ai
data-analysis
313
stata-data-cleaning
Clean and transform messy data in Stata with reproducible workflows
meleantonio
data-ai
data-analysis
313
latex-tables
Generate publication-ready regression tables in LaTeX.
meleantonio
data-ai
education
313
beamer-presentation
Create academic presentations in Beamer with professional themes
meleantonio
documentation
academic
313
lit-review-assistant
Search, summarize, and synthesize economics literature
meleantonio
research
academic
313
academic-paper-writer
Draft economics papers with proper structure and academic style
meleantonio
research
data-engineering
312
cascadeflow
OpenClaw-native domain cascading. Use when users need cost/latency reduction via cascading, domain-aware model assignment, OpenClaw-native event handling, and command setup including /model cflow and optional /cascade stats commands.
lemony-ai
data-ai
package-distribution
311
flutter-pub-update
Flutterプロジェクトのpubspec.yamlパッケージを更新するスキル。一括更新または指定パッケージ更新に対応。メジャーバージョン更新時は確認を挟み、更新前にpub.dev/GitHubでchangelogを確認して変更内容を報告する。$ARGUMENTSにパッケージ名を指定するか、--allで全パッケージ更新。
bannzai
development
cicd
311
fix-dependabot-prs
dependabotから上がってきた複数のPRを一括で解決し、まとめPRを作成する。dependabotのPR対応を依頼された時に使用。
bannzai
devops
gaming
310
infographic-generator
Generate retro arcade style infographic prompts for documentation pages
vfarcic
development
data-engineering
310
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
data-ai
data-engineering
310
airflow
Queries, manages, and troubleshoots Apache Airflow using the af CLI. Covers listing DAGs, triggering runs, reading task logs, diagnosing failures, debugging DAG import errors, checking connections, variables, pools, and monitoring health. Also routes to sub-skills for writing DAGs, debugging, deploying, and migrating Airflow 2 to 3. Use when user mentions "Airflow", "DAG", "DAG run", "task log", "import error", "parse error", "broken DAG", or asks to "trigger a pipeline", "debug import errors", "check Airflow health", "list connections", "retry a run", or any Airflow operation. Do NOT use for warehouse/SQL analytics on Airflow metadata tables — use analyzing-data instead.
astronomer
data-ai
data-engineering
310
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
data-ai
data-engineering
310
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
data-ai