Individual skill

harborcrm-structured-json

Analyze HarborCRM event, trade-show, sponsor, import-batch, and CRM reconciliation tasks that require producing one JSON object from API data and a provided answer template. Use when a prompt references HarborCRM endpoints such as `/api/events`, `/api/tradeshows`, `/api/import_batches`, `/api/crm`, `/api/finance`, or `/api/policies` and asks for JSON-only output with filtering, classification, ranking, deduplication, normalization, counts, or follow-up summaries.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_001/fewshot/deepagents/fewshot_attempt_01/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

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agent Repository topic
ai Repository topic
benchmark Repository topic
llm Repository topic
self-evolving Repository topic
self-learning Repository topic
skills Repository topic
finance Derived category
sales Derived category
data Derived category

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# HarborCRM Structured JSON

## Workflow

1. Read the prompt and `input/payloads/answer_template.json` first.
2. Treat the template as the contract for required keys, allowed values, list ordering, and numeric precision.
3. Use the runner-provided base URL. Query only the endpoints named in the prompt; use `/api/manifest` or `/api/policies` only when you need endpoint discovery or controlled values.
4. Identify the task family:
   - event / sponsor handoff
   - trade-show prospecting
   - import-batch cleanup
   - badge / campaign-member reconciliation
5. Build the final object in template order. Keep qualified records, exclusions, and summaries separate.
6. Normalize exactly as the schema asks. Lowercase emails only when requested, strip phones to digits only when requested, and use `null` vs empty string exactly as specified.