Meta Pixel Setup
ooiyeefei/ccc
Walks a site owner through installing the Meta Pixel, firing one conversion event and verifying it with the Pixel Helper before any ads run.
For founders who don't know where to start with paid ads. An agent skill from gooseworks-ai/goose-skills.
Install Paid Channel Prioritizer
$ npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills paid-channel-prioritizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/composites/paid-channel-prioritizer .claude/skills/paid-channel-prioritizer && rm -rf skills-srcUse ~/.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/
Install the "paid-channel-prioritizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizer into .claude/skills/paid-channel-prioritizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-channel-prioritizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills paid-channel-prioritizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/composites/paid-channel-prioritizer .agents/skills/paid-channel-prioritizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paid-channel-prioritizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizer into .agents/skills/paid-channel-prioritizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-channel-prioritizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills paid-channel-prioritizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/composites/paid-channel-prioritizer .cursor/skills/paid-channel-prioritizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "paid-channel-prioritizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizer into .cursor/skills/paid-channel-prioritizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-channel-prioritizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/composites/paid-channel-prioritizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills paid-channel-prioritizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/composites/paid-channel-prioritizer .gemini/skills/paid-channel-prioritizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "paid-channel-prioritizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizer into .gemini/skills/paid-channel-prioritizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-channel-prioritizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills paid-channel-prioritizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/composites/paid-channel-prioritizer .github/skills/paid-channel-prioritizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "paid-channel-prioritizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizer into .github/skills/paid-channel-prioritizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-channel-prioritizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills paid-channel-prioritizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/composites/paid-channel-prioritizer .opencode/skills/paid-channel-prioritizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "paid-channel-prioritizer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/paid-channel-prioritizer into .opencode/skills/paid-channel-prioritizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paid-channel-prioritizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
paid-channel-prioritizer- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~2.4k tokens
- SKILL.md length
- 917 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
For founders who don't know where to start with paid ads. An agent skill from gooseworks-ai/goose-skills.
- Works in 5 steps: Intake → Channel Scoring → Recommendation → …
- Tasks that involve Paid advertising
- SKILL.md covers When to Use, Phase 0: Intake, Phase 1: Channel Scoring and Phase 2: Recommendation, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Paid Channel Prioritizer is an agent skill from gooseworks-ai/goose-skills. For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Marketing & SEO, covering Paid advertising. 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 Paid advertising
Example prompts
- “/paid-channel-prioritizer”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Paid Channel Prioritizer loads about 2.4k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 917 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 917 words, ~2,441 tokens.
Download SKILL.mdSave it as
.claude/skills/paid-channel-prioritizer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- paid-channel-prioritizer
- description
- For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.
- tags
- ads
Paid Channel Prioritizer
Answer the question every early-stage founder asks: "Where should I run ads?" This skill analyzes your product, ICP, competitors, and budget to recommend the right 1-2 channels to start with — plus a 90-day plan to get there.
Core principle: A $3K/month ad budget split across Google, Meta, LinkedIn, and TikTok means $750/channel — not enough for any platform to learn and optimize. This skill picks the best 1-2 channels and concentrates budget where it'll compound fastest.
When to Use
- "Where should I run ads?"
- "Which ad platform is best for us?"
- "I have $X/month for ads — where should I spend it?"
- "Should I do Google Ads or Facebook Ads?"
- "Help me choose a paid channel"
Phase 0: Intake
- Product name + URL — What are you selling?
- Business model — SaaS / Marketplace / E-commerce / Service / App
- B2B or B2C? — Drives channel selection heavily
- ICP — Who are you selling to? (Role, company size, industry)
- Monthly ad budget — Be honest — how much can you spend?
- Average deal size / LTV — What's a customer worth?
- Current acquisition channels — How are you getting customers today? (Organic, referral, outbound, etc.)
- Competitor names — 3-5 competitors
- Landing page ready? — Do you have a dedicated LP or just a homepage?
- Conversion goal — Free trial / Demo / Purchase / Lead magnet download
Phase 1: Channel Scoring
1A: Buyer Intent Analysis
Where does your buyer look when they have a problem?
| Buyer Journey Stage | Likely Channel | Signal |
|---|---|---|
| "I need a tool for X" (active search) | Google Search | High-intent keywords exist |
| "I'm browsing and see something relevant" (passive) | Meta (FB/IG) | Visual/emotional product |
| "I need to solve this at work" (professional) | B2B decision-maker targeting | |
| "Everyone's talking about this" (social proof) | Twitter/X Ads | Category is trending |
| "I watch content about this" (education) | YouTube | Long consideration cycle |
| "I discovered it through content" (entertainment) | TikTok | B2C, young audience, visual |
1B: Competitor Ad Presence Research
Use web search to check publicly accessible ad libraries and gather competitor ad intelligence:
web_search: site:facebook.com/ads/library "[competitor name]"
web_search: "[competitor name]" Google Ads OR PPC OR paid search
web_search: "[competitor name]" LinkedIn Ads OR sponsored
web_search: "[competitor name]" advertising strategyThe Meta Ad Library (facebook.com/ads/library) and Google Ads Transparency Center (adstransparency.google.com) are publicly accessible — search them directly to see what competitors are running.
Build a competitor channel map:
| Competitor | Meta | YouTube | TikTok | |||
|---|---|---|---|---|---|---|
| [Comp A] | [Active/Not found] | [N ads] | [Active/Not found] | ... | ... | ... |
| [Comp B] | ... | ... | ... | ... | ... | ... |
Insight: Where competitors are spending = validated channel. Where they're absent = opportunity or dead end.
1C: Channel Scoring Matrix
Score each channel for this specific product:
| Factor (Weight) | Google Search | Meta | YouTube | TikTok | ||
|---|---|---|---|---|---|---|
| Buyer intent (25%) | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] |
| Targeting precision (20%) | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] |
| Competitor validation (15%) | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] |
| Budget efficiency (15%) | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] |
| ICP reachability (15%) | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] |
| Creative requirements (10%) | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] | [1-10] |
| Weighted Score | [X/10] | [X/10] | [X/10] | [X/10] | [X/10] | [X/10] |
Channel Context Notes
| Channel | Best For | Worst For | Min Viable Budget | Creative Needs |
|---|---|---|---|---|
| Google Search | High-intent capture, B2B, established category | New categories nobody searches for | $1K/mo | Text ads (low barrier) |
| Meta (FB/IG) | Visual products, B2C, retargeting, lookalikes | Niche B2B with tiny audience | $1K/mo | Images + video (medium) |
| B2B enterprise, specific titles/industries | B2C, budget-conscious startups | $3K/mo | Professional content (medium) | |
| YouTube | Education-heavy products, long consideration | Impulse purchases, tiny budgets | $2K/mo | Video production (high) |
| Twitter/X | Dev tools, trending categories, tech audiences | Mainstream B2C, precise targeting | $1K/mo | Short-form copy (low) |
| TikTok | B2C, Gen Z/millennial, visual/fun products | B2B enterprise, older audience | $500/mo | Short video (high frequency) |
Show full SKILL.md (346 more words)Show less
Phase 2: Recommendation
Primary Channel Selection
Pick the #1 channel based on:
- Highest weighted score
- Budget viability (can they afford minimum viable spend?)
- Creative readiness (can they produce the required content?)
Secondary Channel Selection
Pick channel #2 only if:
- Budget > $3K/month (enough for two channels)
- It serves a different funnel stage than channel #1
- It doesn't require creative they can't produce
Budget Allocation
| Budget Level | Recommendation |
|---|---|
| < $1.5K/mo | 1 channel only — concentrate everything |
| $1.5K-3K/mo | 1 primary + retargeting — primary channel + Meta/Google retargeting ($300-500) |
| $3K-7K/mo | 2 channels — 65% primary, 25% secondary, 10% retargeting |
| $7K+/mo | 2-3 channels — diversify with testing budget |
Phase 3: 90-Day Ramp Plan
Month 1: Foundation (Days 1-30)
Week 1: Setup
- Set up conversion tracking (Pixel, GTM, GA4)
- Create landing page (if needed)
- Build initial audiences / keyword list
- Launch 2-3 ad variants on primary channel
Week 2-3: Learn
- Collect data — do NOT optimize yet
- Monitor for setup issues (tracking, disapprovals, targeting)
- Minimum 500 impressions per variant before judging
Week 4: First Optimization
- Pause worst-performing ad variant
- Add 1-2 new variants based on early signals
- Adjust bids/budgets based on CPM/CPC data
Month 2: Optimize (Days 31-60)
- Review conversion data — any ads producing results?
- Launch retargeting campaign (if not already)
- Test new audiences / keywords
- A/B test landing pages (if conversion rate is low)
- Begin secondary channel test (if budget allows)
Month 3: Scale or Pivot (Days 61-90)
- If working: Increase budget 30-50% on winning audiences/keywords
- If not working: Diagnose (bad targeting? bad LP? bad offer?)
- Evaluate secondary channel test results
- Re-run this analysis with real performance data to validate or adjust channel selection
Phase 4: Output Format
# Paid Channel Strategy — [Product Name] — [DATE]
## Your Profile
- Product: [Name]
- Model: [SaaS / B2C / etc.]
- ICP: [Summary]
- Monthly budget: $[X]
- Conversion goal: [Goal]
---
## Channel Scoring
| Channel | Score | Verdict |
|---------|-------|---------|
| [Top channel] | [X/10] | **PRIMARY — Start here** |
| [Second channel] | [X/10] | **SECONDARY — Add in month 2** |
| [Third channel] | [X/10] | Test later if budget grows |
| [Others] | [X/10] | Not recommended now |
---
## Why [Primary Channel]
**Top reasons:**
1. [Reason — tied to their specific product/ICP]
2. [Reason]
3. [Reason]
**What competitors are doing there:** [Evidence]
**Minimum viable budget:** $[X]/mo
**Expected cost per conversion:** $[X-Y] range (category benchmark)
---
## Why NOT [Channel They Might Assume]
[Brief explanation of why the obvious choice isn't right — e.g., "LinkedIn is too expensive for your $2K budget — you'd only reach ~500 people/month"]
---
## Budget Allocation
| Channel | Monthly Budget | Purpose |
|---------|---------------|---------|
| [Primary] | $[X] | [Prospecting / Lead gen] |
| [Retargeting] | $[X] | [Bring back visitors] |
| [Secondary — Month 2] | $[X] | [Test — evaluate after 30 days] |
---
## 90-Day Ramp Plan
### Month 1: [Primary Channel] Launch
[Specific weekly actions]
### Month 2: Optimize + Test [Secondary]
[Specific actions]
### Month 3: Scale or Pivot
[Decision criteria]
---
## Pre-Launch Checklist
- [ ] Landing page live and tested
- [ ] Conversion tracking installed and verified
- [ ] Initial audiences / keywords built
- [ ] 3 ad variants ready
- [ ] Daily budget cap set ($[X]/day)
- [ ] Weekly review scheduledSave to channel-strategy-[YYYY-MM-DD].md in the current working directory (or user-specified path).
Cost
| Component | Cost |
|---|---|
| Competitor ad research (web search) | Free |
| Channel analysis and planning | Free (LLM reasoning) |
| Total | Free |
Tools Required
- web_search — for competitor research, ad library lookups, and channel validation
Trigger Phrases
- "Where should I run ads?"
- "Which ad platform should I use?"
- "Help me pick a paid channel"
- "Google Ads or Facebook Ads?"
- "I have $[X]/month — where should I advertise?"
- "What paid channels work for [product type]?"
© 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 1 other file in skills/ads/composites/paid-channel-prioritizer of gooseworks-ai/goose-skills.
- SKILL.md
- 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
Paid Channel Prioritizer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Paid Channel Prioritizer this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Meta Pixel Setupooiyeefei/ccc | 495 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Attribution Reconcileraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Ads AttributionAgriciDaniel/claude-ads | 9.9k | — | ~499 | Automated safety check: Pass | MIT | |
| Apple Search Adsgustavscirulis/snapgrid | 116 | 1 repos | ~4.1k | Automated safety check: Pass | Custom licence | |
| Linkedin Thought LeadershipOotto-AI/claude-content-skills | 130 | — | ~806 | Automated safety check: Pass | MIT |
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Categories
Questions about Paid Channel Prioritizer
What does Paid Channel Prioritizer do?
For founders who don't know where to start with paid ads. An agent skill from gooseworks-ai/goose-skills. Paid Channel Prioritizer is an agent skill from gooseworks-ai/goose-skills. For founders who don't know where to start with paid ads.
When should I use Paid Channel Prioritizer?
Paid Channel Prioritizer fits situations like: tasks that involve Paid advertising.
How do I install Paid Channel Prioritizer in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a claude-code`. Or copy the skill folder (skills/ads/composites/paid-channel-prioritizer in gooseworks-ai/goose-skills) into .claude/skills/paid-channel-prioritizer in your project. Claude Code loads it when a task matches its description.
How do I install Paid Channel Prioritizer in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill paid-channel-prioritizer -a codex`. Or copy the skill folder (skills/ads/composites/paid-channel-prioritizer in gooseworks-ai/goose-skills) into .agents/skills/paid-channel-prioritizer in your project. Codex loads it when a task matches its description.
Can I use Paid Channel Prioritizer 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 paid-channel-prioritizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paid-channel-prioritizer, .gemini/skills/paid-channel-prioritizer, .github/skills/paid-channel-prioritizer and .opencode/skills/paid-channel-prioritizer in your project.
What does Paid Channel Prioritizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Paid Channel Prioritizer is instructions for the agent only.
Does Paid Channel Prioritizer 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 Paid Channel Prioritizer 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. Review the folder before installing.
What licence does Paid Channel Prioritizer use?
Paid Channel Prioritizer 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 Paid Channel Prioritizer use?
About 2.4k tokens (SKILL.md is roughly 9.8k 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 Paid Channel Prioritizer?
Skills that share tags, products or a category with Paid Channel Prioritizer: Meta Pixel Setup (ooiyeefei/ccc, 495 stars), Attribution Reconciler (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Ads Attribution (AgriciDaniel/claude-ads, 9.9k stars) and Apple Search Ads (gustavscirulis/snapgrid, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Paid Channel Prioritizer?
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.