crm-data-quality
Skill28 starsChanged 43 days agoApache-2.0View on GitHub
Find incomplete records, normalize field values in bulk, dedupe with `hubspot objects merge`, and audit custom properties. Builds on `bulk-operations` for JSONL piping and dry-run/digest/confirm.
In this repository18 other files it gives its agents.
- audience-targetingSkill
- bulk-operationsSkill
- communication-historySkill
- conversation-history-briefSkill
- conversation-inbox-triageSkill
- crm-lookupSkill
- customer-retentionSkill
- custom-object-managementSkill
- data-enrichmentSkill
- deal-managementSkill
- quote-to-cashSkill
- sales-executionSkill
- sales-reportingSkill
- team-ownershipSkill
- ticket-resolutionSkill
- visitor-identificationSkill
- workflow-automationSkill
- workSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
Read bulk-operations/SKILL.md first — JSONL piping, batch read, pagination, and dry-run/digest/confirm gating apply to every command below.
- Distinctive: line 19
Don't guess property names.
- Very specific: line 42
Search → reshape with jq → pipe into update.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Read bulk-operations/SKILL.md first — JSONL piping, batch read, pagination, and dry-run/digest/confirm gating apply to every command below.
Property discovery
Don't guess property names. List them:
hubspot properties list --type contacts --format table
hubspot properties list --type contacts | jq -c 'select(.type=="enumeration") | {name, label}'Same for --type companies, deals, or any custom type (hubspot objects types).
1. Find incomplete records
!name = NOT_HAS_PROPERTY (missing or empty). Bare name = HAS_PROPERTY. Within one --filter, chain with AND; multiple --filter flags are OR'd.
hubspot objects search --type contacts --filter "!email" --properties firstname,lastname,company
hubspot objects search --type contacts --filter "!phone AND !mobilephone" --properties email
hubspot objects search --type contacts --filter "!hubspot_owner_id" --properties email,lifecyclestageFor >100 results, use the pagination loop from bulk-operations.
2. Normalize field values
Search → reshape with jq → pipe into update. objects update is irreversible, so --dry-run first — the dry-run → digest → confirm flow is required at every row count, not just >100 (bulk-operations covers it end to end). Reshape patterns: bulk-operations/resources/json-patterns.md.
# Collapse spellings into one canonical value — 1. preview
hubspot objects search --type contacts --filter "company~acme" \
| jq -c '{id, properties:{company:"Acme Corporation"}}' \
| hubspot objects update --type contacts --dry-run \
| tee /tmp/normalize.preview.jsonl
# 2. lift the digest + confirm (present at every row count)
digest=$(jq -r 'select(.digest != null) | .digest' /tmp/normalize.preview.jsonl)
confirm=$(jq -r 'select(.digest != null) | .target.id' /tmp/normalize.preview.jsonl) # single: record ID; batch of 2+: row count
# 3. execute — re-pipe the SAME inputs plus --digest/--confirm
hubspot objects search --type contacts --filter "company~acme" \
| jq -c '{id, properties:{company:"Acme Corporation"}}' \
| hubspot objects update --type contacts --digest "$digest" --confirm "$confirm"
# Lowercase emails (read, reshape, write) — 1. preview
hubspot objects search --type contacts --filter "email" --properties email \
| jq -c '{id, properties:{email: (.properties.email | ascii_downcase)}}' \
| hubspot objects update --type contacts --dry-run \
| tee /tmp/lower.preview.jsonl
# 2. lift the digest + confirm, then 3. re-pipe the SAME inputs to execute
digest=$(jq -r 'select(.digest != null) | .digest' /tmp/lower.preview.jsonl)
confirm=$(jq -r 'select(.digest != null) | .target.id' /tmp/lower.preview.jsonl)
hubspot objects search --type contacts --filter "email" --properties email \
| jq -c '{id, properties:{email: (.properties.email | ascii_downcase)}}' \
| hubspot objects update --type contacts --digest "$digest" --confirm "$confirm"3. Dedupe with hubspot objects merge
Secondary is folded into primary and deleted. Irreversible. Dry-run/digest/confirm gating applies.
# Single pair — dry-run first, then execute with the digest + confirm (confirm = the secondary ID for one pair)
hubspot objects merge --type contacts --primary 149 --secondary 425 --dry-run
hubspot objects merge --type contacts --primary 149 --secondary 425 --digest <hash> --confirm 425Bulk: pipe JSONL {"primary":"...","secondary":"..."} on stdin (omit --primary/--secondary).
Pagination required. objects search caps at 100 rows per call and jq -s slurps a single stream into memory — running the snippet below against a raw search will silently miss every duplicate that crosses a page boundary. Collect the full set first with the pagination loop from bulk-operations/SKILL.md (write to /tmp/contacts.jsonl), then dedupe from the file:
# /tmp/contacts.jsonl produced by the pagination loop (bulk-operations/SKILL.md)
jq -s -c '
group_by(.properties.email)[]
| select(length > 1)
| sort_by(.id | tonumber)
| .[0].id as $p | .[1:][] | {primary: $p, secondary: .id}
' /tmp/contacts.jsonl \
| hubspot objects merge --type contacts --dry-run | tee /tmp/merge-preview.jsonlLift the digest/confirm from the preview line at any size — select(.digest != null); for a batch the confirm is the pair count (.target.id), and mutation_kind is BulkData only above the 100-row threshold (RecordMutation at or below it, but the digest is present either way). Re-pipe the same producer with --digest/--confirm (see bulk-operations).
4. Audit properties
hubspot properties list (and get, batch-read) emits {name, label, type, fieldType, groupName, optionsDisplay} per row. Enum option values are exposed via properties options-list — no need to read them off a live record or the UI.
# Count properties per group (HubSpot groups standard fields; custom groups stand out)
hubspot properties list --type contacts | jq -rs 'group_by(.groupName) | map({group: .[0].groupName, count: length}) | .[]'
# All enumeration properties
hubspot properties list --type contacts | jq -c 'select(.type=="enumeration") | {name, label, fieldType}'
# Create a DQ flag property, then set it via the normalize pattern in section 2
hubspot properties create --type contacts --name dq_missing_phone --label "DQ: Missing Phone" --prop-type string --field-type textEnum options — list and manage (properties options-*, v0.11.0)
# List the allowed options on an enumeration property
hubspot properties options-list --type contacts hs_buying_role
# each row: {"value":"EVALUATOR","label":"Evaluator","displayOrder":9,"hidden":false}
# Add / rename / remove an option (options-delete is irreversible — dry-run → digest → confirm, confirm = the option value)
hubspot properties options-create --type contacts hs_buying_role --label "Evaluator" --value EVALUATOR --display-order 9
hubspot properties options-update --type contacts hs_buying_role --value EVALUATOR --label "New Label"
hubspot properties options-delete --type contacts hs_buying_role --value EVALUATOR --dry-run
hubspot properties options-delete --type contacts hs_buying_role --value EVALUATOR --digest <hash> --confirm EVALUATORHubSpot-defined properties with read-only options reject options-create/update/delete before the API is called.
Recovery
Merge is irreversible. After any merge, hubspot history --since 1h captures the audit trail. If wrong direction, restore the secondary from the UI's recycle bin.
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