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Use when the user wants to: (1) View, filter, or sort CSV files, (2) Merge or join multiple CSV files, (3) Convert between CSV, JSON, and SQL, (4) Clean and validate CSV data (remove duplicates, fix encoding), (5) Extract columns or apply transformations, (6) Generate statistics and summaries, (7) Handle TSV, pipe-delimited, or custom delimiter files.\n---\n\n# CSV Data Processor\n\nTransform, filter, clean, and convert delimited data files. No external dependencies — uses Python csv/JSON stdlib only.\n\n## Quick Start\n\n```bash\n# View first 10 rows\npython3 skills/csv-data-processor/scripts/csv_view.py data.csv\n\n# Filter rows\npython3 skills/csv-data-processor/scripts/csv_filter.py data.csv --where \"age > 25\"\n\n# Convert to JSON\npython3 skills/csv-data-processor/scripts/csv_convert.py data.csv --to json\n```\n\n## Common Commands\n\n### Preview Data\n```bash\npython3 skills/csv-data-processor/scripts/csv_view.py data.csv --head 10 --stats\n```\n\n### Filter Rows\n```bash\npython3 skills/csv-data-processor/scripts/csv_filter.py data.csv --where \"price > 100\" --sort price --limit 20\n```\n\n### Merge Files\n```bash\npython3 skills/csv-data-processor/scripts/csv_merge.py sales_2024.csv sales_2025.csv --output combined.csv\n```\n\n### Join on Column\n```bash\npython3 skills/csv-data-processor/scripts/csv_join.py left.csv right.csv --on user_id --output joined.csv\n```\n\n### Clean Data\n```bash\npython3 skills/csv-data-processor/scripts/csv_clean.py dirty.csv --dedupe --fill-missing N/A --output clean.csv\n```\n\n### Statistics\n```bash\npython3 skills/csv-data-processor/scripts/csv_stats.py data.csv --numeric age,revenue\n```\n\n## Scripts\n\n| Script | Purpose |\n|--------|---------|\n| `csv_view.py` | Preview, head/tail, summary stats |\n| `csv_filter.py` | Filter rows, sort, select columns |\n| `csv_merge.py` | Concatenate multiple CSV files |\n| `csv_join.py` | Join/merge on shared columns |\n| `csv_convert.py` | Convert CSV ↔ JSON ↔ SQL |\n| `csv_clean.py` | Dedupe, fill missing, fix encoding |\n| `csv_stats.py` | Numeric stats, value counts, histograms |\n\n## Key Options\n\nAll scripts accept:\n- `--delimiter` — Field delimiter (default: `,` for CSV, `\\t` for TSV)\n- `--encoding` — File encoding (default: utf-8)\n- `--has-header` / `--no-header` — Column header handling\n- `--output` / `-o` — Output file path\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7dgh3zgw7fda0c0dp8n1r3y984nn3e\",\n  \"slug\": \"csv-data-processor\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779332456269\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nProcesses, filters, merges, cleans, converts, and analyzes CSV or delimited data files using local Python command-line tools.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[ericlooi504](https://clawhub.ai/user/ericlooi504)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and data analysts use this skill to inspect, clean, filter, join, merge, convert, and summarize CSV, TSV, and other delimiter-separated datasets from an agent workflow.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Filtering can evaluate user-supplied --where expressions.\n\nMitigation: Use only trusted filter expressions, and do not let web pages, documents, or untrusted users choose the expression.\n\nRisk: SQL export may produce statements that require review before database import.\n\nMitigation: Review generated SQL before importing it into any database.\n\nRisk: The toolkit is intended for trusted CSV or delimited data.\n\nMitigation: Install and run it only on trusted data, and inspect outputs before using them downstream.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/ericlooi504/skills/csv-data-processor)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Text, JSON, SQL, Files]\n\n**Output Format:** [Markdown guidance with bash commands; script outputs include terminal tables, CSV files, JSON, and SQL text.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Outputs may be printed to stdout or written to a requested output file.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: CSV Data Processor Owner: ericlooi504 Summary: Process, filter, merge, clean, convert, and analyze CSV or delimited data files, supporting CSV, TSV, JSON, and SQL formats with customizable options. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-21T03:00:56.269Z | user Initial release: view, filter, merge, join, convert, clean, and analyze CSV/TSV data with Python stdlib Archive index: Archive v1.0.0: 10 ","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# View first 10 rows\npython3 skills/csv-data-processor/scripts/csv_view.py data.csv\n\n# Filter rows\npython3 skills/csv-data-processor/scripts/csv_filter.py data.csv --where \"age > 25\"\n\n# Convert to JSON\npython3 skills/csv-data-processor/scripts/csv_convert.py data.csv --to json"},{"language":"bash","snippet":"python3 skills/csv-data-processor/scripts/csv_view.py data.csv --head 10 --stats"},{"language":"bash","snippet":"python3 skills/csv-data-processor/scripts/csv_filter.py data.csv --where \"price > 100\" --sort price --limit 20"},{"language":"bash","snippet":"python3 skills/csv-data-processor/scripts/csv_merge.py sales_2024.csv sales_2025.csv --output combined.csv"},{"language":"bash","snippet":"python3 skills/csv-data-processor/scripts/csv_join.py left.csv right.csv --on user_id --output joined.csv"},{"language":"bash","snippet":"python3 skills/csv-data-processor/scripts/csv_clean.py dirty.csv --dedupe --fill-missing N/A --output clean.csv"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: csv-data-processor\ndescription: CSV and delimited data processing toolkit for transforming, filtering, merging, validating, and converting data files. Use when the user wants to: (1) View, filter, or sort CSV files, (2) Merge or join multiple CSV files, (3) Convert between CSV, JSON, and SQL, (4) Clean and validate CSV data (remove duplicates, fix encoding), (5) Extract columns or apply transformations, (6) Generate statistics and summaries, (7) Handle TSV, pipe-delimited, or custom delimiter files.\n---\n\n# CSV Data Processor\n\nTransform, filter, clean, and convert delimited data files. No external dependencies — uses Python csv/JSON stdlib only.\n\n## Quick Start\n\n```bash\n# View first 10 rows\npython3 skills/csv-data-processor/scripts/csv_view.py data.csv\n\n# Filter rows\npython3 skills/csv-data-processor/scripts/csv_filter.py data.csv --where \"age > 25\"\n\n# Convert to JSON\npython3 skills/csv-data-processor/scripts/csv_convert.py data.csv --to json\n```\n\n## Common Commands\n\n### Preview Data\n```bash\npython3 skills/csv-data-processor/scripts/csv_view.py data.csv --head 10 --stats\n```\n\n### Filter Rows\n```bash\npython3 skills/csv-data-processor/scripts/csv_filter.py data.csv --where \"price > 100\" --sort price --limit 20\n```\n\n### Merge Files\n```bash\npython3 skills/csv-data-processor/scripts/csv_merge.py sales_2024.csv sales_2025.csv --output combined.csv\n```\n\n### Join on Column\n```bash\npython3 skills/csv-data-processor/scripts/csv_join.py left.csv right.csv --on user_id --output joined.csv\n```\n\n### Clean Data\n```bash\npython3 skills/csv-data-processor/scripts/csv_clean.py dirty.csv --dedupe --fill-missing N/A --output clean.csv\n```\n\n### Statistics\n```bash\npython3 skills/csv-data-processor/scripts/csv_stats.py data.csv --numeric age,revenue\n```\n\n## Scripts\n\n| Script | Purpose |\n|--------|---------|\n| `csv_view.py` | Preview, head/tail, summary stats |\n| `csv_filter.py` | Filter rows, sort, select columns |\n| `csv_merge.py` | Concatenate multiple CSV files |\n| `csv_join.py` | Join/merge on shared columns |\n| `csv_convert.py` | Convert CSV ↔ JSON ↔ SQL |\n| `csv_clean.py` | Dedupe, fill missing, fix encoding |\n| `csv_stats.py` | Numeric stats, value counts, histograms |\n\n## Key Options\n\nAll scripts accept:\n- `--delimiter` — Field delimiter (default: `,` for CSV, `\\t` for TSV)\n- `--encoding` — File encoding (default: utf-8)\n- `--has-header` / `--no-header` — Column header handling\n- `--output` / `-o` — Output file path"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7dgh3zgw7fda0c0dp8n1r3y984nn3e\",\n  \"slug\": \"csv-data-processor\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779332456269\n}"},{"path":"skill-card.md","content":"## Description:\n\nProcesses, filters, merges, cleans, converts, and analyzes CSV or delimited data files using local Python command-line tools.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[ericlooi504](https://clawhub.ai/user/ericlooi504)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and data analysts use this skill to inspect, clean, filter, join, merge, convert, and summarize CSV, TSV, and other delimiter-separated datasets from an agent workflow.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Filtering can evaluate user-supplied --where expressions.\n\nMitigation: Use only trusted filter expressions, and do not let web pages, documents, or untrusted users choose the expression.\n\nRisk: SQL export may produce statements that require review before database import.\n\nMitigation: Review generated SQL before importing it into any database.\n\nRisk: The toolkit is intended for trusted CSV or delimited data.\n\nMitigation: Install and run it only on trusted data, and inspect outputs before using them downstream.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/ericlooi504/skills/csv-data-processor)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Text, JSON, SQL, Files]\n\n**Output Format:** [Markdown guidance with bash commands; script outputs include terminal tables, CSV files, JSON, and SQL text.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Outputs may be printed to stdout or written to a requested output file.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Process, filter, merge, clean, convert, and analyze CSV or delimited data files, supporting CSV, TSV, JSON, and SQL formats with customizable options. 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