> Find newsletters relevant to a target audience/industry for sponsorship opportunities. Discovers newsletters through web search, newsletter directories, and industry research. Returns newsletter name, author, estimated audience, topic focus, sponsorship rates (if available), and contact info.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill newsletter-sponsorship-finder
Find and rank newsletters for sponsorship opportunities targeting a specific ICP. Uses web search, newsletter directories, and competitor intelligence to build a prioritized list of sponsorship targets.
Find newsletter sponsorship opportunities for [client]. Target audience: [description]. Industry keywords: [keywords].
Or with optional filters:
Find newsletter sponsorship opportunities for [client].
Target audience: CTOs and DevOps engineers at startups.
Industry keywords: cloud, AWS, DevOps, infrastructure, FinOps.
Budget: $500-2000/placement.
Geographic focus: US.
clients/<client>/leads/newsletter-sponsorships-YYYY-MM-DD.mdFree — all discovery is WebSearch-based. No API keys required.
pip3 install requests
Optional helper script for Substack directory search:
python3 skills/newsletter-sponsorship-finder/scripts/search_newsletters.py --keywords "cloud,AWS,DevOps" --output json
Accept from user:
Run these searches:
"[industry] newsletter""[industry] weekly newsletter developer""best newsletters for [target audience]""[industry] newsletter sponsorship""advertise in [industry] newsletter"Search Swapstack/Paved/SparkLoop for relevant newsletters:
"site:swapstack.co [industry]""site:paved.com [industry]""[industry] blog" and "[industry] content creator" to find people who likely also have newsletters"[industry] newsletter" site:linkedin.com posts"site:substack.com [industry keywords]"python3 skills/newsletter-sponsorship-finder/scripts/search_newsletters.py --keywords "[keywords]" --output json"[competitor name] sponsor newsletter" or "[competitor name] advertise"For each discovered newsletter, use WebFetch to visit the newsletter page and try to find:
Score each newsletter (0-10):
Save results to the specified output path as markdown:
# Newsletter Sponsorship Opportunities
**Target audience:** [description]
**Industry:** [keywords]
**Date:** YYYY-MM-DD
## Tier 1: Must-Sponsor (Score 8+)
| Newsletter | Author | Est. Audience | Frequency | Sponsorship Rate | Contact | Score |
|-----------|--------|--------------|-----------|-----------------|---------|-------|
## Tier 2: Strong Fit (Score 5-7)
| Newsletter | Author | Est. Audience | Frequency | Sponsorship Rate | Contact | Score |
|-----------|--------|--------------|-----------|-----------------|---------|-------|
## Tier 3: Worth Exploring (Score 3-4)
| Newsletter | Author | Est. Audience | Frequency | Sponsorship Rate | Contact | Score |
|-----------|--------|--------------|-----------|-----------------|---------|-------|
## Competitor Sponsorship Intel
| Competitor | Newsletters They Sponsor | Notes |
|-----------|------------------------|-------|
## Next Steps
1. Reach out to Tier 1 newsletters for rate cards
2. Request media kits from Tier 2 newsletters
3. Set calendar reminder to refresh this list quarterly
4. Monitor competitor sponsorships monthly
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Take gooseworks-ai/newsletter-sponsorship-finder from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.