Individual skill
harbor-crm
HarborCRM event, trade-show, finance, import-batch, and CRM API integration. Use when Codex needs to reconcile post-event sponsor finances, qualify trade-show exhibitors for prospecting campaigns, clean and import contact batches, prepare CRM handoffs from badge scans, or cross-reference CRM accounts/contacts/opportunities/campaign-members with event and trade-show records. Covers controlled status/reason enums, contact normalization, deduplication, suppression, CRM-action classification, follow-up date calculation, and platform-coverage qualification for marine/aquaculture robotics prospecting.
experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_001/fewshot/codex/fewshot_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Yes
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- No
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- Observed behavior
- Not checked yet
- 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
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- sales Derived category
- marketing Derived category
- finance Derived category
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SKILL.mdcore · 6,175 bytesSKILL.mdcore · 6,175 bytesagents/openai.yamlasset · 203 bytesreferences/api_reference.mddoc · 6,905 bytesreferences/processing_patterns.mddoc · 10,702 bytesscripts/normalize_contact.pyruns · 1,541 bytes
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# HarborCRM Integration
## Overview
HarborCRM exposes a unified REST API for event management, trade-show prospecting, finance reconciliation, import-batch processing, and Salesforce-style CRM records. The API base URL is always supplied by the runner. All endpoints are public GETs; no authentication is required.
## Core Workflow
1. Read the task prompt for the target identifiers (event_id, show_id, batch_id) and the answer template.
2. Fetch all relevant endpoints in parallel. The answer template and the prompt list which endpoints to use.
3. Reconcile data across endpoints using the processing rules in this skill.
4. Produce a single JSON object conforming to the answer template.
### Recurring task patterns