Documentation
README
This is the opening of the README. Read the full README on GitHub.
Tabular Cleanup is a Data skill for Claude Code, published by gaasher in Agent-Loop-Skills.
Tabular Cleanup rewrites messy CSV, TSV, Excel, JSON, or parquet data to match an inferred contract of binary checks. Use it when you need iterative, auditable cleanup with a replayable pipeline and deterministic stop conditions.
Tabular Cleanup is cataloged under Data on DirSkills. Tabular Cleanup comes from a repository tagged agent-skills, agentic-loops, agentic-workflows, ai-agents and anthropic.
Documentation
This is the opening of the README. Read the full README on GitHub.
Tabular Cleanup is one of 25 skills that DirSkills catalogs from gaasher/Agent-Loop-Skills, the repository it ships in. Its siblings there include Alpha Evolve, Anomaly Investigation and Blue Team. Each one is a separate skill with its own page in this directory, installs the same way Tabular Cleanup does, and is maintained by gaasher in that same repository. The rest of the collection is listed on the gaasher/Agent-Loop-Skills page.
Tabular Cleanup ranks #756 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Tabular Cleanup against them. Open each page to compare what they document and how they install.
Tabular Cleanup is one of 25 skills cataloged on DirSkills from gaasher/Agent-Loop-Skills.
Tabular Cleanup is one of 812 Data skills cataloged on DirSkills, ranked #756 by stars among them.