Creator · Affitor
Last updated · Sep 3, 2026
Write paid ad copy for affiliate offers across ad platforms. Triggers on: "write ad copy", "Facebook ad for affiliate", "Google Ads copy", "TikTok ad script", "Pinterest ad", "paid traffic to affiliate", "create ad campaign", "ad headlines", "ad descriptions", "scale with paid ad
Sandbox only
Install targets
Codex install prompt
Install the "paid-ad-copy-writer" agent skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/paid-ad-copy-writer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Write paid ad copy for affiliate offers across ad platforms. Triggers on: "write ad copy", "Facebook ad for affiliate", "Google Ads copy", "TikTok ad script", "Pinterest ad", "paid traffic to affiliate", "create ad campaign", "ad headlines", "ad descriptions", "scale with paid ads", "run ads for my affiliate link", "write Facebook ad", "Google Search ad copy". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"affitor-paid-ad-copy-writer","task":"Install paid-ad-copy-writer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Affitor/affiliate-skills --skill paid-ad-copy-writer
Maintenance
active
3mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
639
73/100 Quality · 80/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
639 GitHub stars
Repo activity
639 stars, 199 forks
Maintenance
3mo since push
License
MIT
Install
npx skills add Affitor/affiliate-skills --skill paid-ad-copy-writer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Affitor/affiliate-skills --skill paid-ad-copy-writerDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20paid-ad-copy-writer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20paid-ad-copy-writer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/affitor-paid-ad-copy-writer/install
Agent should check
Copy prompt
Task: Use paid-ad-copy-writer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20paid-ad-copy-writer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/affitor-paid-ad-copy-writer/install
Install command: npx skills add Affitor/affiliate-skills --skill paid-ad-copy-writer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/affitor-paid-ad-copy-writer/install
LLM text format
/api/skills/affitor-paid-ad-copy-writer/install?format=text
Find alternatives
/api/skills/search?q=paid-ad-copy-writer&limit=3
Agent prompt
Use paid-ad-copy-writer for this task. Review https://www.openagentskill.com/api/skills/affitor-paid-ad-copy-writer/install, then install with: npx skills add Affitor/affiliate-skills --skill paid-ad-copy-writerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/affitor-paid-ad-copy-writer
LLM text
/api/registry/manifest/affitor-paid-ad-copy-writer?format=text
Install alias
/api/registry/install/affitor-paid-ad-copy-writer
Recommend
/api/registry/recommend?task=Use%20paid-ad-copy-writer%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code, OpenAI Agents, Cursor
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO639 GitHub stars
Stars/forks activity
INFO639 stars, 199 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: paid-ad-copy-writer description: > Write paid ad copy for affiliate offers across ad platforms. Triggers on: "write ad copy", "Facebook ad for affiliate", "Google Ads copy", "TikTok ad script", "Pinterest ad", "paid traffic to affiliate", "create ad campaign", "ad headlines", "ad descriptions", "scale with paid ads", "run ads for my affiliate link", "write Facebook ad", "Google Search ad copy". license: MIT version: "1.0.0" tags: ["affiliate-marketing", "automation", "scaling", "workflow", "ads", "ppc", "copywriting"] compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent" metadata: author: affitor version: "1.0" stage: S7-Automation ---
# Paid Ad Copy Writer
Write paid ad copy for affiliate offers — Facebook Ads, Google Search Ads, Google Display Ads, TikTok Ads, and Pinterest Ads. Each output includes multiple ad variants, targeting suggestions, compliance notes, and campaign setup guidance. Output is platform-formatted ad copy ready to deploy.
## Stage
S7: Automation — When organic content proves profitable, paid ads let you scale 10x faster. But affiliate ad copy has unique constraints: platform policies around affiliate links, FTC disclosure requirements, and the need to drive clicks to a landing page (not direct-link). This skill writes compliant, high-converting ad copy for each platform.
## When to Use
- User wants to run paid traffic to affiliate offers - User says "write ad copy", "Facebook ad", "Google Ads", "TikTok ad" - User wants to scale a profitable organic campaign with paid media - User has a landing page (from S4) and wants ads driving traffic to it - User wants multiple ad variants for testing - Chaining from S4 (landing page) → write ads pointing to the landing page
## Input Schema
```yaml product: name: string # REQUIRED — product name description: string # OPTIONAL — one-line product description reward_value: string # OPTIONAL — commission info url: string # OPTIONAL — product URL (for research) key_benefits: string[] # OPTIONAL — top 3 benefits
platform: string # REQUIRED — "facebook" | "google_search" | "google_display" # | "tiktok" | "pinterest"
audience: description: string # REQUIRED — target audience pain_points: string[] # OPTIONAL — problems the audience has demographics: string # OPTIONAL — age, gender, interests
budget: string # OPTIONAL — daily/monthly budget (e.g., "$20/day")
landing_url: string # OPTIONAL — destination URL (from S4 or a bridge page) # Note: most platforms don't allow direct affiliate links ```
**Chaining context**: If S1 product data exists, pull name, benefits, commission. If S4 landing page was created, use its URL as `landing_url`.
## Workflow
### Step 1: Analyze Product and Audience
Gather product info and audience details. If `key_benefits` is not provided, infer from product name and description using training knowledge.
Identify: - Primary value proposition - Emotional triggers for the audience - Competitive angle (what makes this product different)
### Step 2: Select Ad Format
Each platform has specific formats:
**Facebook Ads**: - Primary text (125 chars above fold, 500+ total) - Headline (40 chars) - Description (30 chars) - CTA button (from predefined list)
**Google Search Ads**: - Headlines (3 × 30 chars) - Descriptions (2 × 90 chars) - Sitelink extensions (4 × 25 chars + 35 char descriptions)
**Google Display Ads**: - Short headline (30 chars) - Long headline (90 chars) - Description (90 chars) - Business name
**TikTok Ads**: - Video script (15-30 seconds) - Hook (first 3 seconds) - CTA overlay text - Ad text (100 chars)
**Pinterest Ads**: - Pin title (100 chars) - Pin description (500 chars) - Image text suggestions
### Step 3: Write Ad Variants
Create 3-5 variants per platform, each testing a different angle: - **Pain Point**: Lead with the problem - **Benefit**: Lead with the outcome - **Social Proof**: Lead with results/numbers - **Curiosity**: Lead with an intriguing question or statement - **Urgency**: Lead with a time-sensitive offer (only if real)
### Step 4: Add Compliance Notes
Per platform: - **Facebook**: "Paid Partnership" label if required. No misleading claims. Landing page must match ad claims. Affiliate links may be flagged — use a bridge/landing page. - **Google**: Ad must match landing page content. No superlative claims without proof. Affiliate disclaimer on landing page required. Follow Google Ads affiliate policies. - **TikTok**: #ad or Paid Partnership toggle. No medical/financial advice. Must feel native to platform. - **Pinterest**: Disclosures in pin description. Must link to content page, not direct affiliate link.
### Step 5: Suggest Targeting
Recommend targeting parameters: - Interest-based audiences - Lookalike audiences (if pixel data exists) - Keyword targeting (Google) - Demographic filters
### Step 6: Budget Allocation
If budget is provided, suggest: - Daily spend per variant (for A/B testing phase) - When to kill underperformers (after 500+ impressions with <0.5% CTR) - When to scale winners (after 3+ days of profitable ROAS)
### Step 7: Self-Validation
Before presenting output, verify:
- [ ] 3-5 ad variants generated per platform - [ ] Character counts within platform limits (Google: 30/90 headline/description, Facebook: 40/125/27000) - [ ] No prohibited claims (income guarantees, before/after without evidence) - [ ] CTA uses platform-native action verbs - [ ] Test budget recommendation is realistic ($5-20/day per variant)
If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.
## Output Schema
```yaml output_schema_version: "1.0.0" # Semver — bump major on breaking changes campaign: product: string platform: string num_variants: number landing_url: string
variants: - label: string # "Variant A: Pain Point", etc. angle: string # the approach used copy: headline: string # or headlines[] for Google description: string # or descriptions[] for Google primary_text: string # Facebook only cta: string video_script: string # TikTok only character_counts: object # per field
compliance: notes: string[] # platform-specific requirements warnings: string[] # things that might get the ad rejected
targeting: interests: string[] demographics: string keywords: string[] # Google only
budget_suggestion: test_phase: string # e.g., "$10/day per variant for 5 days" scale_phase: string # e.g., "Increase winning variant to $50/day" kill_criteria: string # when to stop a variant ```
## Output Format
1. **Campaign Overview** — product, platform, landing URL 2. **Ad Variants** — each variant with full copy in platform format 3. **Compliance Checklist** — platform-specific requirements and warnings 4. **Targeting Suggestions** — interests, demographics, keywords 5. **Budget Guide** — test and scale strategy
## Error Handling
- **No landing URL**: "Most ad platforms don't allow direct affiliate links. I recommend creating a landing page first with S4 (landing-page-creator) and using that as your ad destination." - **Unknown platform**: "I support Facebook, Google Search, Google Display, TikTok, and Pinterest ads. Which platform would you like ad copy for?" - **Product with strict ad policies (supplements, finance)**: "This product category has strict advertising policies on [platform]. I'll write compliant copy, but review your ad account's specific restrictions before publishing. Avoid health/income claims."
## Examples
### Example 1: Facebook ad for SaaS product
**User**: "Write Facebook ads for HeyGen targeting content creators. My landing page is example.com/heygen-review" **Action**: 3 variants. Variant A (pain point): "Spending hours editing videos? HeyGen creates professional AI videos in minutes." Variant B (benefit): "Create studio-quality videos without a camera. 50+ AI avatars, any language." Variant C (social proof): "10,000+ creators switched to HeyGen. Here's why." Each with headline, description, CTA. Include Facebook compliance notes.
### Example 2: Google Search ads
**User**: "Google Search ads for Semrush targeting 'best SEO tools'" **Action**: 5 headline + 2 description combinations. H1: "Best SEO Tool for 2026" (30 chars). H2: "Try Semrush Free Today" (22 chars). H3: "Trusted by 10M+ Marketers" (25 chars). D1: "Complete SEO toolkit: keyword research, site audit, backlink analysis. Start your free trial." D2: "Outrank your competitors with data-driven SEO. 7-day free trial, no card required." Plus sitelink extensions.
### Example 3: TikTok ad script
**User**: "Write a TikTok ad for Notion targeting college students" **Action**: 30-second script. Hook (0-3s): "POV: You just discovered the app that replaced 5 other apps." Middle (3-20s): Show use cases (notes, calendar, to-do, project tracker). CTA (20-30s): "Link in bio for the student discount." #ad disclosure. Include compliance notes about TikTok's policies on educational content promotions.
## References
- `shared/references/ftc-compliance.md` — FTC disclosure requirements for paid advertising. Read in Step 4. - `shared/references/affiliate-glossary.md` — Ad terminology (ROAS, CTR, CPC). Referenced in budget guide. - `shared/references/flywheel-connections.md` — master flywheel connection map
## Revenue & Action Plan
### Expected Outcomes - **Revenue potential**: Paid ads are the fastest way to scale a profitable affiliate funnel. If your organic funnel converts at $2 EPC, and your CPC is $0.50, you're making $1.50 profit per click. At 100 clicks/day = $150/day = $4,500/month profit - **Benchmark**: Profitable affiliate ad campaigns typically achieve 2-4x ROAS (Return On Ad Spend). Below 1.5x ROAS = unprofitable. Above 3x ROAS = scale aggressively - **Key metric to track**: ROAS (revenue from commissions / ad spend). Secondary: CPC (cost per click), CTR (click-through rate), and conversion rate on landing page
### Do This Right Now (15 min) 1. **Launch a test campaign** with your top 2 ad variants at $10/day each 2. **Set the destination URL** to your landing page (from `landing-page-creator`), NOT a direct affiliate link 3. **Set a kill rule**: if a variant has 500+ impressions and <0.5% CTR after 48 hours, pause it 4. **Set a scale rule**: if a variant achieves 2x+ ROAS after 5 days, increase budget by 50%
### Track Your Results After 48 hours: kill any variant with <0.5% CTR. After 5 days: is any variant profitable (ROAS > 1.5x)? If yes, scale it by increasing daily budget. If no variant is profitable, test new angles — the ad copy may not match the audience's pain point. Never scale a losing campaign.
> **Next step — copy-paste this prompt:** > "Set up conversion tracking for my ad campaign landing page" → runs `conversion-tracker`
## Flywheel Connections
### Feeds Into - `conversion-tracker` (S6) — ad links to track conversions - `ab-test-generator` (S6) — ad copy variants for testing
### Fed By - `affiliate-program-search` (S1) — product data for ad copy - `grand-slam-offer` (S4) — offer framing for ad messaging - `landing-page-creator` (S4) — landing page URL as ad destination
### Feedback Loop - `conversion-tracker` (S6) measures ad ROAS → optimize ad copy, targeting, and budget allocation
## Quality Gate
Before delivering output, verify:
1. Would I share this on MY personal social? 2. Contains specific, surprising detail? (not generic) 3. Respects reader's intelligence? 4. Remarkable enough to share? (Purple Cow test) 5. Irresistible offer framing? (if S4 offer skills ran)
Any NO → rewrite before delivering.
```yaml chain_metadata: skill_slug: "paid
Source provenance
Decision snapshot
639 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for paid-ad-copy-writer, ready for a manual X post.
paid-ad-copy-writer: Write paid ad copy for affiliate offers across ad platforms. Triggers on: "write ad copy", "F... 639 stars https://www.openagentskill.com/skills/affitor-paid-ad-copy-writer?ref=x
Listing + install path for paid-ad-copy-writer: https://www.openagentskill.com/skills/affitor-paid-ad-copy-writer?ref=x Install: npx skills add Affitor/affiliate-skills --skill paid-ad-copy-writer
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
shell or command execution, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness