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Clean CSV, JSON, YAML, or database-derived data by validating shape, preserving originals, and documenting transformations.
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Baseado na classificação ocupacional SOC
Coordinate long-running, parallel, or task-registry-backed automation with durable state, bounded loops, ownership, and progress recovery.
Watch folders for new or changed files, classify them, and trigger bounded organization or processing steps.
Create and manage scheduled local maintenance tasks with clear commands, scope, logs, and safety gates.
Run recoverable desktop observe-act loops with screenshots, waits, checkpoints, and bounded input when the automation may need retries or resumption.
Ultra-compressed communication mode. Cuts token usage by speaking like caveman while keeping technical accuracy. Supports intensity levels lite, full, and ultra. Use when the user wants fewer tokens, terse output, caveman mode, or very brief answers.
Analyze SQLite, Postgres, or MySQL data with read-only queries, schema inspection, exported tables, and reproducible summaries.
| name | structured-data-cleaning |
| description | Clean CSV, JSON, YAML, or database-derived data by validating shape, preserving originals, and documenting transformations. |
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