Individual skill
governed-crm-cleanup
Use this skill when CRM data is unreliable, a cleanup is overdue, or a team is considering a bulk correction. Produces an evidence-backed audit, a reviewable change plan, approved corrections, and controls that prevent the same defects from returning.
skills/ryan-iyengar/governed-crm-cleanup/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- No
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
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SKILL.mdcore · 4,858 bytesSKILL.mdcore · 4,858 bytesreferences/audit-rubric.mddoc · 1,380 bytesreferences/worked-cleanup.mddoc · 1,202 bytes
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Use this when CRM defects affect routing, reporting, pipeline reviews, or execution. Produce a baseline, an operation-level correction plan, a verified result, and a prevention backlog.
## Establish the baseline
1. Snapshot the affected objects, field definitions, owners, pipeline stages, and automation rules before proposing changes. Record the extraction time and record counts.
2. Define each audit check as an explicit rule with a target population, condition, severity, and evidence. Cover duplicates, ownership gaps, stale pipeline, critical-field completeness, stage conformance, and integration drift.
3. Count findings by object, rule, owner, source, and age. Separate isolated bad records from systematic failures created by imports, forms, integrations, or team behavior.
4. Preserve ambiguous findings. An audit should expose uncertainty rather than convert it into a confident correction.
Use [references/audit-rubric.md](references/audit-rubric.md) to score severity and choose the first batch.
## Build the change plan
Represent every proposed change as one reviewable operation containing: