onboarding-kickoff
Skill16 starsChanged 9 months agoMITView on GitHub
Automated client onboarding after kickoff call - generates leads, creates email campaigns, sets up auto-reply. Use when user asks to onboard a new client, set up campaigns for client, or run post-kickoff automation.
- Reads credentials
3 other projects use a version of this, 3 of them edited.
Adopted by
Most recently taken up by
- MohamedEssam0-0/claude-skillsedited, first seen Oct 11, 2026
- phuongdo/claude-skillsedited, first seen Feb 17, 2026
- nickjwells/skills-workspaceedited, first seen Feb 1, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 3
- nickjwells/skills-workspace★ 2897% same
- MohamedEssam0-0/claude-skills★ 097% same
- phuongdo/claude-skills★ 097% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
1 rule. 1 is common, 0 are distinctive, and 0 are very specific to this project.
1
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 70
Add entry to auto-reply knowledge base sheet for intelligent response handling.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Post-Kickoff Client Onboarding
Goal
Automated onboarding workflow that runs after kickoff call. Generates leads, creates campaigns, and sets up auto-reply system.
Inputs (from kickoff call)
Required:
client_name: Company nameclient_email: Primary contact emailservice_type: What service they providetarget_location: Geographic areaoffers: Three offers (pipe-separated)target_audience: Who they're targetingsocial_proof: Credentials/results
Optional:
lead_limit: Number of leads (default: 500)value_proposition: Additional context
Scripts
./scripts/gmaps_lead_pipeline.py- Lead generation./scripts/casualize_company_names_batch.py- Name casualization./scripts/instantly_create_campaigns.py- Campaign creation./scripts/onboarding_post_kickoff.py- Full orchestration./scripts/update_sheet.py- Sheet updates
Process
Step 1: Generate Lead Search Query
Format: {service_type} in {target_location}
Example: "plumbers in Austin TX"
Step 2: Scrape and Enrich Leads
python3 ./scripts/gmaps_lead_pipeline.py \
--search "{service_type} in {target_location}" \
--limit {lead_limit} \
--sheet-name "{client_name} - Leads" \
--workers 5Step 3: Casualize Company Names
python3 ./scripts/casualize_company_names_batch.py \
--sheet-url "{sheet_url}" \
--column "business_name" \
--output-column "casualCompanyName"Step 4: Create Instantly Campaigns
python3 ./scripts/instantly_create_campaigns.py \
--client_name "{client_name}" \
--client_description "..." \
--offers "{offers}" \
--target_audience "{target_audience}" \
--social_proof "{social_proof}"Step 5: Upload Leads to Campaigns
Distribute leads evenly across 3 campaigns via Instantly API.
Step 6: Add Knowledge Base Entry
Add entry to auto-reply knowledge base sheet for intelligent response handling.
Step 7: Send Summary Email
Send completion email to client with:
- Campaign links and leads counts
- Lead spreadsheet URL
- Auto-reply configuration details
- Next steps
Output
{
"status": "success",
"client_name": "...",
"sheet_url": "...",
"lead_count": 50,
"campaigns": [...],
"leads_uploaded": true,
"knowledge_base_updated": true,
"summary_email_sent": true
}Timing
- Full workflow: ~10-15 minutes for 50 leads
- Lead scraping uses 5 workers by default
Error Handling
- < 10 leads found: Warn but continue
- 0 leads found: Error (bad search query)
- Instantly API error: Capture, note for manual fix
- Sheet/email failures: Log but complete workflow
Schema
Inputs
| Name | Type | Required | Description |
client_name | string | Yes | Company name |
client_email | string | Yes | Primary contact email |
service_type | string | Yes | What service they provide |
target_location | string | Yes | Geographic area |
offers | string | Yes | Three offers (pipe-separated) |
target_audience | string | Yes | Who they're targeting |
social_proof | string | Yes | Credentials/results |
lead_limit | integer | No | Number of leads (default: 500) |
Outputs
| Name | Type | Description |
status | string | success/failure |
sheet_url | string | Lead spreadsheet URL |
lead_count | integer | Number of leads generated |
campaigns | array | Campaign IDs created |
summary_email_sent | boolean | Whether summary was emailed |
Credentials
| Name | Source |
APIFY_API_TOKEN | .env |
ANTHROPIC_API_KEY | .env |
INSTANTLY_API_KEY | .env |
Composable With
Skills that chain well with this one: gmaps-leads, casualize-names, instantly-campaigns, welcome-email
Cost
~$5-10 for 500 leads + campaigns
Does it work?
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