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A fully-populated skill with SkDD lifecycle metadata. Use when validating the full metadata profile including forged-by, usage-count, and status.
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Based on SOC occupation classification
Close implementation loops with target-bound independent evidence and a portable proof receipt. Use when an agent changes a real system and must earn a completion claim that survives the session.
First fixture skill for skdd add tests. Use when testing drop installation.
Second fixture skill for skdd add tests. Use when testing multi-skill drops.
Safely backfill historical data for a pipeline stage — scope the date range, run a dry-run, execute in chunks to avoid overwhelming the database, and verify row counts after each chunk. Use when historical data is missing, when a pipeline stage is added retroactively, or when asked to "backfill the {stage} table from {start_date}".
Add or extend data validation checks in the pipeline when data quality issues are detected — null-percentage thresholds, value ranges, referential integrity, and row-count sanity checks. Use when a pipeline breaks on bad data, when onboarding a new dataset, or when asked to "add a quality check for {column}".
Onboard a new raw dataset into the data platform — sniff the schema, generate a profiling notebook, create the ingestion job, and add an entry to the data dictionary. Use when adding a new data source, when a partner delivers a new CSV/Parquet drop, or when asked to "onboard the {name} dataset".
| name | full |
| description | A fully-populated skill with SkDD lifecycle metadata. Use when validating the full metadata profile including forged-by, usage-count, and status. |
| license | MIT |
| compatibility | claude-code>=1.0,codex>=1.0 |
| metadata | {"author":"test-suite","version":"1.0","forged-by":"skdd-cli","forged-from":"2026-04-12T00:00:00.000Z","forged-reason":"validator fixture","usage-count":"0","last-used":"2026-04-12","status":"active"} |
A fully-populated SKILL.md used to verify that the validator accepts all optional fields.
