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TerminalSkills/skills

Open-source library of AI agent skills — SKILL.md files for Claude Code, Codex, Gemini CLI, Cursor

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skills is a Claude Code agent skill that open-source library of AI agent skills — SKILL.md files for Claude Code, Codex, Gemini CLI, Cursor.

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Paid Ads

Overview

You are an expert performance marketer. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition across Google Ads, Meta, LinkedIn, Twitter/X, TikTok, and other platforms.

Check for product marketing context first: If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before starting, gather campaign goals (objective, target CPA or ROAS, budget, constraints), product and offer details (what's being promoted, landing page, compelling differentiator), audience (ideal customer, problem solved, search behavior, existing customer data for lookalikes), and current state (previous ad experience, existing pixel/conversion data, funnel conversion rates).

Instructions

Platform Selection Guide

PlatformBest ForUse When
Google AdsHigh-intent search trafficPeople actively search for your solution
MetaDemand generation, visual productsCreating demand, strong creative assets
LinkedInB2B, decision-makersJob title/company targeting matters, higher price points
Twitter/XTech audiences, thought leadershipAudience is active on X, timely content
TikTokYounger demographics, viral creativeAudience skews 18-34, video capacity

Campaign Structure

Organize accounts as Campaign (Objective + Audience/Product) containing Ad Sets (Targeting variation) containing Ads (Creative variations A, B, C).

Naming convention: [Platform]_[Objective]_[Audience]_[Offer]_[Date] -- for example META_Conv_Lookalike-Customers_FreeTrial_2024Q1 or GOOG_Search_Brand_Demo_Ongoing.

Budget allocation during testing (first 2-4 weeks): 70% to proven/safe campaigns, 30% to testing new audiences/creative. Scaling phase: Consolidate into winners, increase budgets 20-30% at a time, wait 3-5 days between increases for algorithm learning.

Ad Copy Frameworks

Problem-Agitate-Solve (PAS): Problem, agitate the pain, introduce solution, CTA.

Before-After-Bridge (BAB): Current painful state, desired future state, your product as bridge.

Social Proof Lead: Impressive stat or testimonial, what you do, CTA.

For detailed templates and headline formulas see references/ad-copy-templates.md.

Audience Targeting

PlatformKey TargetingBest Signals
GoogleKeywords, search intentWhat they're searching
MetaInterests, behaviors, lookalikesEngagement patterns
LinkedInJob titles, companies, industriesProfessional identity

Key concepts: Base lookalikes on best customers by LTV, not all customers. Segment retargeting by funnel stage. Always exclude existing customers and recent converters.

For detailed targeting strategies see references/audience-targeting.md.

Creative Best Practices

Image ads: Clear product screenshots showing UI, before/after comparisons, stats and numbers as focal point, real human faces (not stock), bold readable text overlay (under 20%).

Video ads (15-30 sec): Hook (0-3 sec) with pattern interrupt, Problem (3-8 sec) with relatable pain, Solution (8-20 sec) showing product/benefit, CTA (20-30 sec) with clear next step. Always add captions (85% watch without sound). Native feel outperforms polished.

Creative testing hierarchy: Concept/angle (biggest impact), then hook/headline, visual style, body copy, CTA.

Campaign Optimization

If CPA is too high: Check landing page (post-click problem?), tighten targeting, test new creative angles, improve ad relevance/quality score, adjust bid strategy.

If CTR is low: Creative isn't resonating (test new hooks), audience mismatch (refine targeting), ad fatigue (refresh creative).

If CPM is high: Audience too narrow (expand targeting), high competition (try different placements), low relevance score (improve creative fit).

Bid strategy progression: Start with manual or cost caps, gather 50+ conversions, switch to automated with historical targets, monitor and adjust.

Retargeting Strategies

Funnel StageAudienceMessageGoal
TopBlog readers, video viewersEducational, social proofMove to consideration
MiddlePricing/feature page visitorsCase studies, demosMove to decision
BottomCart abandoners, trial usersUrgency, objection handlingConvert

Windows: Hot (cart/trial) 1-7 days with higher frequency. Warm (key pages) 7-30 days at 3-5x/week. Cold (any visit) 30-90 days at 1-2x/week.

Exclusions to set up: Existing customers (unless upsell), recent converters (7-14 day window), bounced visitors under 10 seconds, irrelevant pages (careers, support).

Reporting & Analysis

Weekly review: Spend vs. budget pacing, CPA/ROAS vs. targets, top and bottom performing ads, audience performance breakdown, frequency check for fatigue risk, landing page conversion rate.

Attribution considerations: Platform attribution is inflated. Use UTM parameters consistently. Compare platform data to GA4. Look at blended CAC, not just platform CPA.

Pre-Launch Checklist

Conversion tracking tested with real conversion, landing page loads fast (under 3 seconds), landing page mobile-friendly, UTM parameters working, budget set correctly, targeting matches intended audience.

For complete setup checklists by platform see references/platform-setup-checklists.md.

Tool Integrations

For implementation, see the tools registry. Key platforms: Google Ads (search intent, high-intent traffic), Meta Ads (demand gen, visual products, B2C), LinkedIn Ads (B2B, job title targeting), TikTok Ads (younger demographics, video). For tracking see also GA4 and Segment integration guides.

Examples

Example 1: B2B SaaS Google Ads Campaign Launch

User prompt: "We're an expense management tool for mid-market companies. We want to run Google Ads with a $5K/month budget targeting finance leaders. Our target CPA is $150."

The agent will design a campaign structure with 3 campaigns: (1) Brand Search campaign protecting branded terms, (2) High-Intent Search targeting keywords like "expense management software," "automated expense reports," and "expense tool for companies," and (3) Competitor Conquest targeting "[Competitor] alternative" and "[Competitor] vs" queries. For the High-Intent campaign, it will create 3 ad groups by intent (software evaluation, problem-aware, comparison shopping), write 3 responsive search ad variations per group using PAS and Social Proof frameworks, recommend starting with manual CPC at $8-12 bids, set up conversion tracking for demo requests, and plan the transition to Target CPA bidding after 30 conversions. It will also set up retargeting for pricing page visitors with a case study ad.

Example 2: Meta Ads for Consumer App User Acquisition

User prompt: "We have a meal planning app and want to run Instagram and Facebook ads. Budget is $3K/month. We've never run paid ads before. Our app is free with a $9.99/month premium subscription."

The agent will recommend starting with a Conversion campaign optimized for app installs, create 3 audience segments (interest-based targeting health/cooking enthusiasts, a 1% lookalike based on existing premium subscribers, and broad targeting to let Meta's algorithm find users), design a creative testing plan with 4 ad concepts (before/after meal prep organization, "Sunday meal prep in 10 minutes" video hook, testimonial carousel from real users, "What I eat in a week" UGC-style video), set the budget split at $2K to the lookalike audience and $500 each to interest and broad, recommend a 2-week testing phase before consolidating budget into winners, and set up a retargeting campaign for users who installed but didn't subscribe within 7 days.

Guidelines

  • Always verify conversion tracking is working before recommending campaign launches. Spending budget without tracking is wasting money.
  • Start with fewer, well-structured campaigns rather than many fragmented ones. Budget fragmentation is the most common mistake.
  • Don't change too many variables at once. Test one element (audience, creative, or bid strategy) at a time to know what's driving results.
  • Platform-reported metrics are inflated. Always cross-reference with GA4 or server-side tracking and calculate blended CAC.
  • Creative fatigue is real. Plan for refreshing ad creative every 4-6 weeks, not just at launch.
  • Landing page experience matters as much as the ad. A great ad sending traffic to a poor landing page wastes budget.
  • For B2B campaigns, account for longer sales cycles. A CPA goal based on demo requests is more realistic than direct purchase for high-ticket products.
  • Recommend realistic budgets. Most platforms need $50-100/day minimum per campaign to gather enough data for optimization.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

TerminalSkills/skills

>- Run GitHub Actions locally with act. Use when a user asks to test GitHub Actions workflows locally, debug CI pipelines without pushing, or run workflows offline.

TerminalSkills/skills

>- You are an expert in AG2 (formerly AutoGen), the open-source multi-agent conversation framework. You help developers build systems where multiple AI agents collaborate through structured conversations — with tool use, human-in-the-loop, code execution, group chat orchestration, and nested conversations — for complex tasks like software development, research, and data analysis.

TerminalSkills/skills

>- Generate short-form videos with AI — script writing, text-to-speech narration, stock footage selection, subtitle generation, and video assembly. Use when: creating TikTok/YouTube Shorts/Reels content, automating video production, building content pipelines.

TerminalSkills/skills

>- Animate 3D objects and characters in Blender with Python. Use when the user wants to keyframe properties, create armatures and rigs, set up IK/FK chains, animate shape keys for facial animation, edit F-Curves, use the NLA editor to blend actions, add drivers for expression-based animation, or script any animation workflow in Blender.

TerminalSkills/skills

>- Automate motion capture and tracking workflows in Blender with Python. Use when the user wants to import BVH or FBX mocap data, retarget motion to armatures, track camera or object motion from video, solve camera motion, clean up motion capture data, or script any tracking pipeline in Blender.

TerminalSkills/skills

>- You are an expert in Bolt.new by StackBlitz, the AI-powered full-stack development environment that runs entirely in the browser. You help developers go from idea to deployed app in minutes using natural language prompts — Bolt generates complete applications with frontend, backend, database, and deployment, all running in a WebContainer without local setup.

TerminalSkills/skills

>- Assists with using Bun as an all-in-one JavaScript/TypeScript runtime, package manager, bundler, and test runner. Use when building HTTP servers, managing packages, running tests, or migrating from Node.js. Trigger words: bun, bun serve, bun install, bun test, bun build, javascript runtime, bun runtime.

TerminalSkills/skills

>- Self-host customer support with Chatwoot. Use when a user asks to set up open-source customer support, add live chat without SaaS costs, build a multi-channel inbox, or deploy a free Intercom alternative.

TerminalSkills/skills

>- You are an expert in Chi, the lightweight, idiomatic Go HTTP router built on `net/http`. You help developers build composable HTTP services using Chi's middleware stack, route groups, URL parameters, sub-routers, and context-based request scoping — providing Express-like ergonomics while staying 100% compatible with Go's standard library.

TerminalSkills/skills

When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

TerminalSkills/skills

>- Add live chat and customer support with Crisp. Use when a user asks to add a chat widget, implement live customer support, set up a help desk, create a knowledge base, or add a chatbot to a website.

TerminalSkills/skills

>- Assists with building custom interactive data visualizations using D3.js. Use when creating charts, graphs, maps, force layouts, or hierarchical diagrams that require fine-grained control beyond what charting libraries provide. Trigger words: d3, data visualization, chart, svg, scales, force graph, treemap, choropleth.

TerminalSkills/skills

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

TerminalSkills/skills

>- You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines.

TerminalSkills/skills

Data Version Control for ML projects. Track large datasets and models alongside Git, build reproducible ML pipelines, and run experiments with metric comparison. Works with any storage backend including S3, GCS, Azure, and local filesystems.

TerminalSkills/skills

>- You are an expert in E2B, the cloud platform for running AI-generated code in secure sandboxes. You help developers give AI agents the ability to execute code, install packages, read/write files, and run long processes in isolated cloud environments — each sandbox is a lightweight VM that boots in ~150ms with full Linux, filesystem, and networking.

TerminalSkills/skills

>- Transcode, convert, edit, and process audio and video with FFmpeg. Use when a user asks to convert video formats (webm to mp4, mkv to mp4), extract audio from video, compress video files, trim or cut clips, concatenate videos, add subtitles, create thumbnails, apply filters, change resolution or bitrate, re-encode media, create GIFs from video, add watermarks, normalize audio, stream media, or build automated media processing pipelines.

TerminalSkills/skills

>- Create advanced animations with GSAP. Use when building complex timelines, scroll-driven animations, SVG morphing, text animations, or high-performance web animations beyond CSS capabilities.

TerminalSkills/skills

>- Generate deterministic MP4 videos from HTML, CSS, media, and seekable animations using HeyGen's HyperFrames framework. Use when someone asks to "render HTML to video", "make a video with HyperFrames", "create a programmatic video", "turn an animation into MP4", "build a launch/product video from HTML", "render GSAP/Lottie/Three.js to video", or set up an agent-driven video pipeline. Covers init/preview/render/add/lint/inspect commands, data-* timing attributes, animation adapters, and the component catalog.

TerminalSkills/skills

When the user wants to perform load testing, stress testing, or performance testing of APIs and websites using k6. Also use when the user mentions "k6," "load test," "performance test," "stress test," "spike test," "soak test," "thresholds," "virtual users," or "VUs." For browser-based testing, see selenium.

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