Agent skill

Newsletter Sponsorship Finder

by gooseworks-ai in gooseworks-ai/goose-skills

Find newsletters relevant to a target audience/industry for sponsorship opportunities.

MITAuto-check passedWriting & Content

Install Newsletter Sponsorship Finder

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill newsletter-sponsorship-finder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills newsletter-sponsorship-finder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/newsletter-sponsorship-finder .claude/skills/newsletter-sponsorship-finder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
newsletter-sponsorship-finder
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
488 words
Files
3 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Find newsletters relevant to a target audience/industry for sponsorship opportunities.

  • Works in 5 steps: Define Target → Discovery (run searches in parallel) → Enrich Each Newsletter → …
  • Tasks that involve Newsletters
  • SKILL.md covers Quick Start, Inputs, Cost and Dependencies, plus 2 more sections
  • Runs Python scripts from its folder; calls python3 and pip3

What it does

Newsletter Sponsorship Finder is an agent skill from gooseworks-ai/goose-skills. 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.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/search_newsletters.py` and `skill.meta.json`).

It sits in Writing & Content, covering Newsletters. It works with Substack. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Newsletters

Example prompts

  • “/newsletter-sponsorship-finder”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Define Target
  2. Discovery (run searches in parallel)
  3. Enrich Each Newsletter
  4. Score & Rank
  5. Output

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip3, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Newsletter Sponsorship Finder loads about 1.5k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 488 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 488 words, ~1,517 tokens.

Download SKILL.mdSave it as .claude/skills/newsletter-sponsorship-finder/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
newsletter-sponsorship-finder
description
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.

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.

Quick Start

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.

Inputs

  • Target audience description (required) — e.g., "CTOs and DevOps engineers at startups"
  • Industry keywords (required) — e.g., "cloud, AWS, DevOps, infrastructure, FinOps"
  • Budget range (optional) — for filtering newsletters by sponsorship cost
  • Geographic focus (optional) — e.g., "US", "Europe", "Global"
  • Output path (optional) — where to save results, defaults to clients/<client>/leads/newsletter-sponsorships-YYYY-MM-DD.md

Cost

Free — all discovery is WebSearch-based. No API keys required.

Dependencies

pip3 install requests

Optional helper script for Substack directory search:

bash
python3 skills/newsletter-sponsorship-finder/scripts/search_newsletters.py --keywords "cloud,AWS,DevOps" --output json

Process

Phase 1: Define Target

Accept from user:

  • Target audience description (e.g., "CTOs and DevOps engineers at startups")
  • Industry keywords (e.g., "cloud, AWS, DevOps, infrastructure, FinOps")
  • Budget range (optional, for filtering)
  • Geographic focus (optional)
Phase 2: Discovery (run searches in parallel)
A) Direct newsletter search (WebSearch)

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]"
  • WebFetch on directory result pages to find listings in the target niche
C) Industry-specific discovery
  • Search for "[industry] blog" and "[industry] content creator" to find people who likely also have newsletters
  • Search for "[industry] newsletter" site:linkedin.com posts
  • Search for Substack newsletters: "site:substack.com [industry keywords]"
  • Optionally run the helper script: python3 skills/newsletter-sponsorship-finder/scripts/search_newsletters.py --keywords "[keywords]" --output json
D) Competitor sponsorship research
  • Search "[competitor name] sponsor newsletter" or "[competitor name] advertise"
  • Check competitor websites for "As seen in" or press pages
  • This reveals which newsletters competitors already sponsor (proven audience match)
Show full SKILL.md (219 more words)Show less
Phase 3: Enrich Each Newsletter

For each discovered newsletter, use WebFetch to visit the newsletter page and try to find:

  1. Name — Newsletter name
  2. Author/Organization — Who runs it
  3. URL — Signup page or archive
  4. Estimated audience — subscriber count (often mentioned on sponsorship pages or About pages)
  5. Topic focus — What it covers
  6. Frequency — Daily, weekly, monthly
  7. Sponsorship info — Rates, format (dedicated send, banner, classified), contact
  8. Audience quality — Is the audience primarily decision-makers or junior folks?
  9. Social proof — Notable sponsors, testimonials
Phase 4: Score & Rank

Score each newsletter (0-10):

  • Audience overlap with target ICP (+3 max)
  • Audience size (+2 for 10K+, +1 for 5K+)
  • Sponsorship availability confirmed (+2)
  • Reasonable pricing for budget (+1)
  • High engagement signals — open rates mentioned, active community (+1)
  • Competitors sponsor it — proven audience match (+1)
Phase 5: Output

Save results to the specified output path as markdown:

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

Tips

  • Run once per client to establish a sponsorship pipeline
  • Refresh quarterly as new newsletters launch frequently
  • Check competitor sponsorships monthly — if a competitor starts sponsoring a newsletter, it validates the audience
  • Combine with agentmail to automate initial outreach to newsletter operators
  • Use company-contact-finder when a newsletter's sponsorship contact is not publicly listed
  • Newsletters with 5K-50K subscribers often offer the best ROI for B2B sponsorships — large enough audience, small enough for personal touch

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/ads/capabilities/newsletter-sponsorship-finder of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/search_newsletters.py
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Newsletter Sponsorship Finder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Newsletter Sponsorship Finder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Newsletter Sponsorship Finder this skillgooseworks-ai/goose-skills1.2k1 repos~1.5kAutomated safety check: PassMIT
Shakespeare Writing StudioZCZHAO-1999/shakespeare-writing-studio178—~1.5kAutomated safety check: PassMIT
Content Trend Researcheralirezarezvani/claude-code-skill-factory8821 repos~2.1kAutomated safety check: PassMIT
Serenity Replyleslieyeo/serenity-reply135—~3kAutomated safety check: PassMIT
End-of-Article CTA Designersamber/cc-skills227—~3.1kAutomated safety check: PassMIT
Newsletter DigestVarnan-Tech/opendirectory674—~1.9kAutomated safety check: PassMIT

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Works with

Questions about Newsletter Sponsorship Finder

What does Newsletter Sponsorship Finder do?

Find newsletters relevant to a target audience/industry for sponsorship opportunities. Newsletter Sponsorship Finder is an agent skill from gooseworks-ai/goose-skills. Find newsletters relevant to a target audience/industry for sponsorship opportunities.

When should I use Newsletter Sponsorship Finder?

Newsletter Sponsorship Finder fits situations like: tasks that involve Newsletters.

How do I install Newsletter Sponsorship Finder in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill newsletter-sponsorship-finder -a claude-code`. Or copy the skill folder (skills/ads/capabilities/newsletter-sponsorship-finder in gooseworks-ai/goose-skills) into .claude/skills/newsletter-sponsorship-finder in your project. Claude Code loads it when a task matches its description.

How do I install Newsletter Sponsorship Finder in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill newsletter-sponsorship-finder -a codex`. Or copy the skill folder (skills/ads/capabilities/newsletter-sponsorship-finder in gooseworks-ai/goose-skills) into .agents/skills/newsletter-sponsorship-finder in your project. Codex loads it when a task matches its description.

Can I use Newsletter Sponsorship Finder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill newsletter-sponsorship-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/newsletter-sponsorship-finder, .gemini/skills/newsletter-sponsorship-finder, .github/skills/newsletter-sponsorship-finder and .opencode/skills/newsletter-sponsorship-finder in your project.

What does Newsletter Sponsorship Finder need to run?

Going by SKILL.md and its folder, Newsletter Sponsorship Finder needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip3). Our summary lists: Python 3.

Does Newsletter Sponsorship Finder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Newsletter Sponsorship Finder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Newsletter Sponsorship Finder use?

Newsletter Sponsorship Finder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Newsletter Sponsorship Finder use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Newsletter Sponsorship Finder?

Skills that share tags, products or a category with Newsletter Sponsorship Finder: Shakespeare Writing Studio (ZCZHAO-1999/shakespeare-writing-studio, 178 stars), Content Trend Researcher (alirezarezvani/claude-code-skill-factory, 882 stars), Serenity Reply (leslieyeo/serenity-reply, 135 stars) and End-of-Article CTA Designer (samber/cc-skills, 227 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Newsletter Sponsorship Finder?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.