{"slug":"nimrodfisher-schema-mapper","name":"schema-mapper","description":"Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.","long_description":"---\nname: schema-mapper\ndescription: Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.\n---\n\n# Schema Mapper\n\n# When to use\n- Integrating a new data source and need to map its fields to the existing data model\n- Designing an ETL or dbt transformation and need to document the logic\n- Auditing what happened to a field during a migration\n- Onboarding a new analyst who needs to understand where columns come from\n- Preparing a data catalog entry that requires lineage at the column level\n\n# Process\n1. **Collect the source schema** — list every column name, data type, nullable flag, and a brief description. Pull from `INFORMATION_SCHEMA`, a data dictionary, or the source API documentation.\n2. **Collect the target schema** — same structure for the destination table or model. If the target doesn't exist yet, draft it based on the analytical requirements.\n3. **Map source columns to target columns** — for each target column, identify the source column(s) that feed it. Record direct mappings (rename only) and derived mappings (calculation, type cast, lookup join). Use `scripts/schema_compare.py` to automate direct-name matches.\n4. **Document transformation rules** — for each derived mapping, write the exact transformation (e.g., `CAST(amount_cents AS FLOAT) / 100.0`, `COALESCE(first_name, email)`).\n5. **Flag gaps** — identify target columns with no source (need to be created or defaulted) and source columns with no target (dropped or deferred). Record a decision for each.\n6. **Produce the mapping document** — complete `assets/schema_mapping_template.md` with the full column inventory and share for review before implementation.\n\n# Inputs the skill needs\n- Source schema: table name, column names, data types, and descriptions\n- Target schema: same, or the analytical requirements that define it\n- Any existing transformation logic (SQL, dbt models, Python code)\n- Business rules that govern how values should be transformed or defaulted\n- Stakeholder who can resolve ambiguous fields\n\n# Output\n- `scripts/schema_compare.py` — compares two schemas and finds direct-name matches and type mismatches\n- `assets/schema_mapping_template.md` — completed column-by-column mapping with transformation rules, gaps, and decisions\n- Optional: transformation SQL or dbt YAML generated from the mapping\n","tagline":"Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.","category":"research","tags":["agent-skill"],"author":"nimrodfisher","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"nimrodfisher/data-analytics-skills","creatorName":"nimrodfisher","creatorUrl":"https://github.com/nimrodfisher","sourceUrl":"https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/schema-mapper","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/nimrodfisher-schema-mapper#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":442,"forks":80,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":42.07},"quality":{"score":74,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"442","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":69,"base_score":77,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["69/100 Trust Score v5","77/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"442 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":62,"weight":0.08,"status":"info","detail":"442 stars, 80 forks; 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Review the current source before installing.","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":false,"command":null,"policy":"human_review_before_install","label":"Human review before install","notes":["The tracked source changed or could not be synchronized. 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Review the current source before installing.","auto_install_policy":"review","reasons":["The tracked source changed or could not be synchronized. Review the current source before installing.","Permission surface may require sandboxing","62/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["Permission surface may require sandboxing","The tracked source changed or could not be synchronized. 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