# AI Marketing Skills **Open-source Claude Code skills for marketing and sales teams.** Built by the team at [Single Brain](https://singlebrain.com/?utm_source=github&utm_medium=skill_repo&utm_campaign=ai_marketing_skills) โ€” battle-tested on real pipelines generating millions in revenue. These aren't prompts. They're complete workflows โ€” scripts, scoring algorithms, expert panels, and automation pipelines you can plug into Claude Code (or any AI coding agent) and run today. --- ## ๐Ÿ—‚๏ธ Skills | Category | What It Does | Key Skills | |----------|-------------|------------| | [**Growth Engine**](./growth-engine/) | Autonomous marketing experiments that run, measure, and optimize themselves | Experiment Engine, Pacing Alerts, Weekly Scorecard | | [**Sales Pipeline**](./sales-pipeline/) | Turn anonymous website visitors into qualified pipeline | RB2B Router, Deal Resurrector, Trigger Prospector, ICP Learner | | [**Content Ops**](./content-ops/) | Ship content that scores 90+ every time | Expert Panel, Quality Gate, Editorial Brain, Quote Miner | | [**Growth Signal Charts**](./growth-signal-charts/) | Turn original content and measured audience signals into cited social charts | Content Spikes, Recent Research, Desk Edition, PNG/PDF Exports | | [**Content OS Portable Starter**](./content-os-portable-starter/) | Bootstrap a vendor-neutral, draft-first content control loop | Config Schema, Approval Gates, Connector Matrix, Readback Templates | | [**Personal Strategic Signal Intelligence**](./personal-strategic-signal-intelligence/) | Turn private reading, bookmarks, notes, and applied work into source-grounded decision intelligence | Attention Drift, Decision Court, Bookmark-to-Build, Content Negative-Space | | [**Outbound Engine**](./outbound-engine/) | ICP definition to emails in inbox โ€” fully automated | Cold Outbound Optimizer, Lead Pipeline, Competitive Monitor | | [**SEO Ops**](./seo-ops/) | Find the keywords your competitors missed | Content Attack Briefs, GSC Optimizer, Trend Scout | | [**Finance Ops**](./finance-ops/) | Your AI CFO that finds hidden costs in 30 minutes | CFO Briefing, Cost Estimate, Scenario Modeler | | [**Revenue Intelligence**](./revenue-intelligence/) | Prove content ROI and turn sales calls into strategy | Gong Insight Pipeline, Revenue Attribution, Client Report Generator | | [**Conversion Ops**](./conversion-ops/) | Score any landing page and turn survey data into lead magnets | CRO Audit, Survey-to-Lead-Magnet Engine | | [**Podcast Ops**](./podcast-ops/) | One episode โ†’ 20+ content pieces across every platform | Podcast-to-Everything Pipeline, Content Calendar | | [**Team Ops**](./team-ops/) | Ruthless performance audits and meeting intelligence | Elon Algorithm, Meeting-to-Action Extractor | | [**Sidebar Prioritizer**](./sidebar-prioritizer/) | Reset Codex sidebar priorities and label tasks by work category and inactivity | P0โ€“P4 Priorities, B7 Age Markers, Follow-up Evidence, Verified Labels | | [**Sales Playbook**](./sales-playbook/) | Value-based pricing framework that turns $10K deals into $100K deals | Pre-Call Briefing, Tiered Packager, Call Analyzer, Pattern Library | | [**Autoresearch**](./autoresearch/) | Karpathy-inspired optimization loops for conversion content โ€” 50+ variants, expert scoring, evolved winners | Variant Generator, Expert Panel Scorer, Evolution Engine | | [**Deck Generator**](./deck-generator/) | AI-generated slide decks with consistent visual styles in minutes | Image Generator, Google Slides Builder, Style Presets | | [**YT Competitive Analysis**](./yt-competitive-analysis/) | Find outlier videos and packaging patterns across any YouTube channels | Outlier Detector, Title Pattern Extractor, Channel Benchmarker | | [**YouTube Packaging**](./packaging-youtube-thumbnails/) | Create, render, revise, and learn from evidence-backed title-thumbnail packages | Channel Profiles, Package Scoring, Visual QA, Performance Learning | | [**Video Content Engine**](./video-content-engine/) | Diagnose any video and route it into the strongest justified content portfolio | Long-form Optimizer, Shorts Engine, Tutorial, Case Study, Paid Creative | | [**Leveling Up Content Engine**](./leveling-up-content-engine/) | Updated portable workflow for editor notes, moment selection, proof-led edits and version-bound review | Recording Review, Short-form, Packaging, Release Planning | | [**Video Analysis**](./video-analysis/) | Read transcripts first and inspect video silently when visuals or timing matter | Transcript Review, Demo Verification, Clip Boundaries | | [**Agentic Video Understanding**](./agentic-video-understanding/) | Goal-directed moment extraction from long video/audio via Gemini (cheaper than fixed-FPS ingest) | Moment Finder, Hook Hunt, Call Mining, Loom Bar Evidence | | [**Show-and-Tell Video Slate**](./show-and-tell-video-slate/) | Turn real builds and first-party proof into ranked 15-minute video episodes before production | Evidence Inventory, Episode Scoring, Packaging Gates, Shoot Order | | [**Shortform Production**](./shortform-production/) | Produce readable shorts and deliver approved clips through the API | V5 Style, Hook Previews, Editorial Review, Metricool Delivery | | [**Shortform Idea Grill**](./shortform-idea-grill/) | Interview, score, and rank proof-led short-form video ideas | Five-Second Hooks, Three-Second Scores, Talking Bullets, CTA Mapping | | [**Shortform Format Library**](./shortform-format-library/) | Maintain visual format references and match content ideas to recording outlines | Content Spikes, Creator Discovery, Freshness, Edit Briefs, Lead-Magnet Handoff | | [**Net-New Video Editor**](./net-new-video-editor/) | Turn fresh talking-head recordings into reversible, review-ready vertical drafts | JSON Edit Plans, FFmpeg Rendering, Captions, Hook Cards, Visual QA | | [**X Long-Form + Humanizer**](./x-longform-post/) | Write X articles that sound human โ€” with a 24-pattern AI slop detector | Post Writer, Humanizer Checklist, ASCII Diagram Builder | --- ## ๐Ÿš€ Quick Start Each skill category has its own README with setup instructions. The general pattern: ```bash # 1. Clone the repo git clone https://github.com/ericosiu/ai-marketing-skills.git cd ai-marketing-skills # 2. Pick a category cd growth-engine # or sales-pipeline, content-ops, etc. # 3. Install dependencies pip install -r requirements.txt # 4. Set up environment variables cp .env.example .env # Edit .env with your API keys # 5. Run python experiment-engine.py create \ --hypothesis "Thread posts get 2x engagement vs single posts" \ --variable format \ --variants '["thread", "single"]' \ --metric impressions ``` --- ## ๐Ÿง  How These Work with Claude Code Every category includes a `SKILL.md` file. Copy the complete skill directory when it also contains `scripts/`, `references/`, `agents/`, or other bundled files. Copying only `SKILL.md` will leave those workflows incomplete. ``` # In your project directory cp ai-marketing-skills/growth-engine/SKILL.md .claude/skills/growth-engine.md ``` For a bundled skill such as YouTube Packaging, install the full directory: ```bash cp -R ai-marketing-skills/packaging-youtube-thumbnails \ .claude/skills/packaging-youtube-thumbnails ``` Other agent harnesses should import the same complete directory and use its `SKILL.md` as the entry point. OpenAI-compatible harnesses can also read `agents/openai.yaml` for display metadata and the default prompt. Then ask Claude Code: *"Run an experiment testing carousel vs. static posts on LinkedIn"* โ€” it handles the rest. --- ## ๐Ÿ“Š What Makes These Different **These aren't toy demos.** Each skill was built to run real business operations: - **Growth Engine** uses bootstrap confidence intervals and Mann-Whitney U tests โ€” real statistics, not vibes - **Deal Resurrector** has three intelligence layers including "follow the champion" โ€” tracking departed contacts to their new companies - **ICP Learner** rewrites your ideal customer profile based on actual win/loss data โ€” your targeting improves automatically - **Expert Panel** recursively scores content with domain-specific expert personas until quality hits 90+ - **RB2B Router** does intent scoring, seniority-based company dedup, and agency classification before routing to outbound sequences --- ## ๐Ÿ“ Repository Structure ``` ai-marketing-skills/ โ”œโ”€โ”€ README.md โ† You are here โ”œโ”€โ”€ growth-engine/ โ† Autonomous experiments โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ experiment-engine.py โ”‚ โ”œโ”€โ”€ pacing-alert.py โ”‚ โ”œโ”€โ”€ autogrowth-weekly-scorecard.py โ”‚ โ””โ”€โ”€ ... โ”œโ”€โ”€ sales-pipeline/ โ† Visitor โ†’ pipeline automation โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ rb2b_instantly_router.py โ”‚ โ”œโ”€โ”€ deal_resurrector.py โ”‚ โ”œโ”€โ”€ trigger_prospector.py โ”‚ โ”œโ”€โ”€ icp_learning_analyzer.py โ”‚ โ””โ”€โ”€ ... โ”œโ”€โ”€ content-ops/ โ† Quality scoring & production โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ scripts/ โ”‚ โ”œโ”€โ”€ experts/ โ† 9 expert panel definitions โ”‚ โ”œโ”€โ”€ scoring-rubrics/ โ† 5 scoring rubric templates โ”‚ โ””โ”€โ”€ ... โ”œโ”€โ”€ personal-strategic-signal-intelligence/ โ† Private signals โ†’ decision intelligence โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ””โ”€โ”€ README.md โ”œโ”€โ”€ outbound-engine/ โ† Cold outbound automation โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ scripts/ โ”‚ โ”œโ”€โ”€ references/ โ† ICP template, copy rules โ”‚ โ””โ”€โ”€ ... โ”œโ”€โ”€ seo-ops/ โ† SEO intelligence โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ content_attack_brief.py โ”‚ โ”œโ”€โ”€ gsc_client.py โ”‚ โ”œโ”€โ”€ trend_scout.py โ”‚ โ””โ”€โ”€ ... โ”œโ”€โ”€ finance-ops/ โ† Financial analysis โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ scripts/ โ”‚ โ”œโ”€โ”€ references/ โ† Metrics, rates, ROI models โ”‚ โ””โ”€โ”€ ... โ”œโ”€โ”€ revenue-intelligence/ โ† Sales call insights + attribution โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ gong_insight_pipeline.py โ”‚ โ”œโ”€โ”€ revenue_attribution.py โ”‚ โ””โ”€โ”€ client_report_generator.py โ”œโ”€โ”€ conversion-ops/ โ† CRO + lead magnet generation โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ cro_audit.py โ”‚ โ””โ”€โ”€ survey_lead_magnet.py โ”œโ”€โ”€ podcast-ops/ โ† Podcast โ†’ content factory โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ””โ”€โ”€ podcast_pipeline.py โ”œโ”€โ”€ team-ops/ โ† Performance audits + meeting intel โ”‚ โ”œโ”€โ”€ SKILL.md โ”‚ โ”œโ”€โ”€ team_performance_audit.py โ”‚ โ””โ”€โ”€ meeting_action_extractor.py โ””โ”€โ”€ sales-playbook/ โ† Value-based pricing framework โ”œโ”€โ”€ SKILL.md โ”œโ”€โ”€ value_pricing_briefing.py โ”œโ”€โ”€ value_pricing_packager.py โ”œโ”€โ”€ call_analyzer.py โ””โ”€โ”€ pricing_pattern_library.py ``` --- ## ๐Ÿ”’ Privacy & Security Every skill is built with data privacy in mind: - **PII Sanitizer** scans code and data for sensitive information before commits (`security/sanitizer.py`) - **Pre-commit hook** blocks commits containing detected PII patterns - **Configurable blocklists** for company names, person names, and custom patterns - See [`security/README.md`](./security/README.md) for setup ```bash # Scan for sensitive data python3 security/sanitizer.py --scan --dir . --recursive # Install the pre-commit hook cp security/pre-commit-hook.sh .git/hooks/pre-commit && chmod +x .git/hooks/pre-commit ``` --- ## ๐Ÿ“ก Telemetry (Opt-In) Anonymous usage telemetry helps us understand which skills people actually use. Fully opt-in, privacy-first: - **Local logging always** โ€” see your own usage stats in `~/.ai-marketing-skills/analytics/` - **Remote reporting optional** โ€” only if you explicitly opt in on first run - **Data collected:** skill name, duration, success/fail, version, OS. Nothing else. No code, no file paths, no repo content. - **Version checks** โ€” get notified when new skills are available ```bash # View your local usage stats python3 telemetry/telemetry_report.py # Check for updates python3 telemetry/version_check.py ``` See [`telemetry/README.md`](./telemetry/README.md) for details. --- ## ๐Ÿค Contributing Found a bug? Have an improvement? PRs welcome. Read [`CONTRIBUTING.md`](./CONTRIBUTING.md) for guidelines. 1. Fork the repo 2. Create your feature branch (`git checkout -b feature/better-scoring`) 3. Run `python3 security/sanitizer.py --scan` before committing 4. Commit your changes 5. Push to the branch 6. Open a Pull Request --- ## ๐Ÿ“„ License MIT License. Use these however you want. --- *Star this repo if you find it useful. It helps others discover these tools.* ---
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--- Attribution added by YourAIKit. It is not part of the upstream file. - Source: https://github.com/ericosiu/ai-marketing-skills - Credit: Eric Siu, Single Brain - Upstream copy: ericosiu/ai-marketing-skills at commit 8088e1a167804d5615f6e982f62e5b4b6ff8f2f1, README.md - Copyright: Copyright (c) 2026 Single Grain - License: MIT. Full text: https://youraikit.com/licenses/ericosiu-ai-marketing-skills-root/LICENSE - The full upstream license text (LICENSE) follows. License (LICENSE): ```text MIT License Copyright (c) 2026 Single Grain Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ```