监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
日本語の概要は準備中です。原文の説明を表示しています。
Add company/person/relationship to CRM
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Adding a new company, person, or relationship
See $SKILLS_PATH/skills/crm/README.md
| What | Path |
|---|---|
| Companies | $CRM_PATH/contacts/companies.csv |
| People | $CRM_PATH/contacts/people.csv |
| Clients | $CRM_PATH/relationships/clients.csv |
| Partners | $CRM_PATH/relationships/partners.csv |
| Leads | $CRM_PATH/relationships/leads.csv |
| Products | $CRM_PATH/products.csv |
company_id,name,website,linkedin_url,type,industry,geo,size,description,created_date,last_updated
person_id,first_name,last_name,email,phone,linkedin_url,company_id,role,notes,created_date,last_updated
client_id,company_id,product_id,status,contract_start,contract_end,mrr,currency,primary_contact_id,notes,created_date,last_updated
partner_id,company_id,product_id,partnership_type,status,since,primary_contact_id,revenue_share,notes,created_date,last_updated
lead_id,company_id,product_id,stage,source,source_direction,source_detail,priority,primary_contact_id,estimated_value,currency,next_action,next_action_date,notes,created_date,last_updated,last_contact_via_primary
import pandas as pd
from datetime import date
df = pd.read_csv('$CRM_PATH/contacts/companies.csv')
# Check for duplicate
if 'example.com' in df['website'].values:
print("Company already exists!")
else:
new_row = {
'company_id': 'comp-example',
'name': 'Example Inc',
'website': 'example.com',
'type': 'company',
'industry': 'Technology',
'geo': 'USA',
'created_date': str(date.today()),
'last_updated': str(date.today())
}
df = pd.concat([df, pd.DataFrame([new_row])], ignore_index=True)
df.to_csv('$CRM_PATH/contacts/companies.csv', index=False)
# First make sure the company exists!
companies = pd.read_csv('$CRM_PATH/contacts/companies.csv')
if 'comp-example' not in companies['company_id'].values:
print("Add the company first!")
people = pd.read_csv('$CRM_PATH/contacts/people.csv')
new_person = {
'person_id': 'p-example-001',
'first_name': 'John',
'last_name': 'Doe',
'email': 'john@example.com',
'company_id': 'comp-example',
'role': 'CEO',
'created_date': str(date.today()),
'last_updated': str(date.today())
}
# Company and product must exist!
clients = pd.read_csv('$CRM_PATH/relationships/clients.csv')
new_client = {
'client_id': 'cli-example-001',
'company_id': 'comp-example',
'product_id': 'prod-labeling',
'status': 'active',
'contract_start': str(date.today()),
'primary_contact_id': 'p-example-001',
'created_date': str(date.today()),
'last_updated': str(date.today())
}
change-review skill before PR| Type | Format | Example |
|---|---|---|
| Company | comp-{name} | comp-acme |
| Person | p-{company}-{number} | p-acme-001 |
| Client | cli-{company}-{number} | cli-acme-001 |
| Partner | ptnr-{company}-{number} | ptnr-acme-001 |
| Lead | lead-{company}-{number} | lead-newco-001 |
update-lead -- update existing recordquery-leads -- searchchange-review -- review before PRまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
日本語の概要は準備中です。原文の説明を表示しています。
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
日本語の概要は準備中です。原文の説明を表示しています。
Expert sales execution covering pipeline management, discovery, demos, negotiation, and deal closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Support accounting understanding from basic bookkeeping to professional practice and research.
日本語の概要は準備中です。原文の説明を表示しています。
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive ad account analysis across all major platforms (Google, Meta Comprehensive paid advertising audit and optimization for any business type. Performs full multi-platform audits (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads), single-platform deep analysis, conversion tracking health checks, creative quality assessment, budget allocation optimization, bidding strategy evaluation, and compliance verification. Industry detection for SaaS, e-commerce, local service, B2B enterprise, info products, mobile app, real estate, healthcare, finance, and agency. Triggers on: "ads", "PPC", "paid advertising", "Google Ads", "Meta Ads", "Facebook Ads", "LinkedIn Ads", "TikTok Ads", "Microsoft Ads", "Bing Ads", "ad audit", "campaign audit", "ROAS", "conversion tracking", "creative fatigue", "bid strategy".
日本語の概要は準備中です。原文の説明を表示しています。