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chadboyda/agent-gtm-skills
18 AI agent skills for go-to-market. Turn any coding agent into a GTM operator.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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skills/ai-cold-outreach/SKILL.md
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skills/paid-creative-ai/SKILL.md
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skills/social-selling/SKILL.md
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skills/solo-founder-gtm/SKILL.md
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skills/video-outreach/SKILL.md
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Verified commit 44f6a3d4daf65c8b82bf11e3a39edb1fbff40f1d
git clone --filter=blob:none --no-checkout https://github.com/chadboyda/agent-gtm-skills.git .hotskills/chadboyda-agent-gtm-skills && git -C .hotskills/chadboyda-agent-gtm-skills checkout --detach 44f6a3d4daf65c8b82bf11e3a39edb1fbff40f1d
# Copy each selected skill directory from .hotskills/chadboyda-agent-gtm-skills into .claude/skills/<skill-name>/Heat
2.4- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
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30-day change not yet available: not enough history.
Individual skills in this repository
- ai-cold-outreach
skills/ai-cold-outreach - ai-pricing
skills/ai-pricing - ai-sdr
skills/ai-sdr - ai-seo
skills/ai-seo - ai-ugc-ads
skills/ai-ugc-ads - content-to-pipeline
skills/content-to-pipeline - expansion-retention
skills/expansion-retention - gtm-engineering
skills/gtm-engineering - gtm-metrics
skills/gtm-metrics - lead-enrichment
skills/lead-enrichment - multi-platform-launch
skills/multi-platform-launch - paid-creative-ai
skills/paid-creative-ai - partner-affiliate
skills/partner-affiliate - positioning-icp
skills/positioning-icp - sales-motion-design
skills/sales-motion-design - social-selling
skills/social-selling - solo-founder-gtm
skills/solo-founder-gtm - video-outreach
skills/video-outreach
How it works
ai-cold-outreach
When your agent uses it
When the user wants to build an AI-powered outreach system, write cold emails, improve deliverability, or scale personalized outreach. Also use when the user mentions 'cold email,' 'cold outreach,' 'outreach automation,' 'Instantly,' 'Smartlead,' 'Clay,' 'email sequences,' 'deliverability,' 'personalization at scale,' 'reply rate,' or 'outreach stack.' This skill covers the complete AI cold outreach system from signal detection through conversion.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
8,092 tokensWhen the skill is activated
Reference documents
105,084 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- The AI Outreach Stack
- The 3-Line Cold Email Framework
- Benchmarks and Performance Targets
- Deliverability Playbook
- Complete System Build: Week-by-Week
- Cost Analysis: Full Stack
- Common Failure Modes
- Advanced Tactics
- Quick Reference
- Questions to Ask
- Related Skills
Files
../../.claude-plugin/marketplace.jsonasset1,421 bytesSKILL.mdcore31,770 bytes../ai-pricing/SKILL.mddoc32,317 bytes../ai-sdr/SKILL.mddoc35,812 bytes../ai-seo/SKILL.mddoc19,918 bytes../ai-ugc-ads/SKILL.mddoc18,304 bytes../content-to-pipeline/SKILL.mddoc30,524 bytes../expansion-retention/SKILL.mddoc20,534 bytes../gtm-engineering/SKILL.mddoc45,778 bytes../gtm-metrics/SKILL.mddoc19,105 bytes../lead-enrichment/SKILL.mddoc21,658 bytes../multi-platform-launch/SKILL.mddoc24,209 bytes../paid-creative-ai/SKILL.mddoc26,049 bytes../partner-affiliate/SKILL.mddoc35,090 bytes../positioning-icp/SKILL.mddoc27,850 bytes../sales-motion-design/SKILL.mddoc23,045 bytes../social-selling/SKILL.mddoc17,880 bytes../solo-founder-gtm/SKILL.mddoc22,597 bytes../video-outreach/SKILL.mddoc24,948 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubai-pricing
When your agent uses it
When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
7,451 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- The Three Charge Metrics
- Three Product Archetypes and Their Pricing
- Hybrid Pricing Model Design
- BYOK (Bring Your Own Key) Pricing
- Margin Management for AI Products
- Pricing Tier Design
- How Pricing Shapes Your GTM Organization
- Pricing Migration Strategy
- Competitive Pricing Analysis Framework
- Anti-Patterns in AI Pricing
- Pricing Experimentation
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore32,317 bytesSKILL.mdcore32,317 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubai-sdr
When your agent uses it
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
7,924 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Section 1: AI SDR Landscape (2025-2026)
- Section 2: The 4-Week AI SDR Deployment Program
- Section 3: Signal-to-Action Routing
- Section 4: Agent Architecture (Over Tools)
- Section 5: Qualification Automation
- Section 6: Human-in-the-Loop Design
- Section 7: Cost Analysis and ROI Framework
- Section 8: Common Failure Modes
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore35,812 bytesSKILL.mdcore35,812 bytesSKILL.mdcore35,812 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubai-seo
When your agent uses it
When the user wants to build programmatic SEO with AI, create competitor alternative pages, optimize for AI Overviews, or scale content production. Also use when the user mentions 'SEO,' 'programmatic SEO,' 'AI content,' 'competitor alternative pages,' 'AI Overviews,' 'search optimization,' 'DataForSEO,' 'content at scale,' 'keyword strategy,' or 'organic traffic.' This skill covers AI-powered SEO strategy from keyword research through programmatic page generation.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
4,874 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. AI SEO Stack - Tool Selection Framework
- 2. The "[Competitor] Alternative" SEO Play
- 3. Programmatic SEO - Scaling Pages with AI
- 4. AI Overviews and Generative Engine Optimization (GEO)
- 5. Keyword Strategy Framework
- 6. Content Production Pipeline
- 7. Technical SEO for Programmatic Pages
- 8. Measurement and Iteration
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore19,918 bytesSKILL.mdcore19,918 bytesSKILL.mdcore19,918 bytesSKILL.mdcore19,918 bytesSKILL.mdcore19,918 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubai-ugc-ads
When your agent uses it
When the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content. Also use when the user mentions 'UGC,' 'user-generated content,' 'creator ads,' 'Spark Ads,' 'whitelisting,' 'AI UGC,' 'Arcads,' 'Creatify,' 'creator brief,' or 'UGC testing.' This skill covers the UGC growth framework from creator recruitment through AI-powered scaling.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
5,125 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Section 1: The UGC-Only Growth Framework
- Section 2: Creator Recruitment
- Section 3: UGC Brief Template
- Section 4: AI UGC Tools
- Section 5: Ad Format Templates
- Section 6: Platform Strategy
- Section 7: Whitelisting and Spark Ads
- Section 8: Creative Testing Matrix
- Section 9: Kill Criteria and Scaling Rules
- Section 10: Benchmarks (2025-2026)
- Section 11: TikTok Shop UGC Integration
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore18,304 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcontent-to-pipeline
When your agent uses it
When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms. Also use when the user mentions 'content marketing,' 'content-led growth,' 'content to pipeline,' 'distribution,' 'content repurposing,' 'content strategy,' 'thought leadership,' 'newsletter,' 'content flywheel,' 'organic growth.' This skill covers content-to-revenue systems from creation through pipeline attribution.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
6,852 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. The Content Flywheel
- 2. Distribution Reverse Engineering
- 3. Multi-Platform Content Repurposing Framework
- 4. Newsletter as Pipeline
- 5. Content-to-DM Conversion
- 6. Founder-Led Content vs. Team Content
- 7. Building in Public as GTM
- 8. Content Attribution and Pipeline Tracking
- 9. Podcast and Video as Pipeline Drivers
- 10. Community-Led Content Distribution
- 11. Content Cadence and Consistency Framework
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore30,524 bytesSKILL.mdcore30,524 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubexpansion-retention
When your agent uses it
When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention. Also use when the user mentions 'churn,' 'retention,' 'expansion revenue,' 'upsell,' 'NRR,' 'net revenue retention,' 'customer success,' 'land and expand,' 'closed-lost,' or 'renewal.' This skill covers expansion and retention systems from usage triggers through automated customer success.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
5,061 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. Net Revenue Retention: The Growth Multiplier
- 2. Land-and-Expand: Consumption-Based Upsell Triggers
- 3. Customer Health Scoring
- 4. Product-Qualified Accounts (PQAs)
- 5. Automated Onboarding Sequences
- 6. Closed-Lost Re-engagement
- 7. Usage-Based Billing Optimization
- 8. Customer Advocacy and Renewal Management
- 9. Churn Prevention Playbooks
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore20,534 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubgtm-engineering
When your agent uses it
When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,' 'AI agents for GTM,' or 'revenue automation.' This skill covers technical GTM infrastructure from workflow design through agent orchestration.
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
10,202 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. The GTM Engineer Role
- 2. Architecture Over Tools
- 3. Automation Platform Comparison
- 4. API-First GTM Stack Design
- 5. GTM Data Pipeline Design
- 6. Building GTM Agents with AI
- 7. Event-Driven GTM Architecture
- 8. Monitoring, Observability & Testing
- 9. Cost Optimization
- 10. Real-World GTM Engineering Patterns
- 11. Building Internal Tools for GTM
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore45,778 bytesSKILL.mdcore45,778 bytesSKILL.mdcore45,778 bytesSKILL.mdcore45,778 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubgtm-metrics
When your agent uses it
When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance. Also use when the user mentions 'GTM metrics,' 'revenue latency,' 'pipeline metrics,' 'TTFV,' 'time-to-first-value,' 'data health,' 'attribution,' 'conversion rate,' 'CAC,' 'LTV,' 'NRR,' 'GTM dashboard,' 'magic number,' 'pipeline velocity,' or 'funnel metrics.' This skill covers GTM measurement from metric selection through dashboard design, including AI-specific cost metrics, attribution models, and weekly review cadences.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
4,876 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. Core GTM Metrics Dashboard
- 2. Funnel Metrics by GTM Motion
- 3. AI Product-Specific Metrics
- 4. Data Health Scoring
- 5. Attribution Models
- 6. Dashboard Architecture
- 7. Leading vs. Lagging Indicators
- 8. Weekly GTM Review Cadence
- 9. PQL Scoring
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore19,105 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublead-enrichment
When your agent uses it
When the user wants to build data enrichment workflows, score leads against ICP, set up Clay waterfalls, or improve contact data quality. Also use when the user mentions 'enrichment,' 'data enrichment,' 'Clay,' 'waterfall enrichment,' 'ICP scoring,' 'lead scoring,' 'intent data,' 'contact verification,' 'Apollo,' 'ZoomInfo,' or 'data quality.' This skill covers lead enrichment waterfalls, ICP scoring frameworks, and contact verification systems.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
5,559 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Section 1: ICP Scoring Framework
- Section 2: Enrichment Waterfall Architecture
- Section 3: Clay Workflow Design
- Section 4: Contact Verification Pipeline
- Section 5: Performance Benchmarks
- Section 6: Compliance
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore21,658 bytesSKILL.mdcore21,658 bytesSKILL.mdcore21,658 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubmulti-platform-launch
When your agent uses it
When the user wants to launch a product across multiple platforms, plan a Product Hunt launch, build a waitlist, or execute a multi-channel launch strategy. Also use when the user mentions 'product launch,' 'Product Hunt,' 'launch strategy,' 'waitlist,' 'beta launch,' 'BetaList,' 'Hacker News,' 'launch day,' 'AppSumo,' 'multi-channel launch.' This skill covers multi-platform launch execution from pre-launch through post-launch optimization.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
6,066 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Platform Landscape (2025-2026)
- Launch Sequence Framework
- Product Hunt Deep Dive
- Hacker News (Show HN) Deep Dive
- Waitlist Building Playbook
- Directory Submission Strategy
- AppSumo Launch Strategy
- G2 and Capterra Strategy
- UGC-Only Growth: $0 Ad Spend Scaling
- Budget Decision Framework
- Platform-Specific Timing
- Measuring Launch Success
- Common Launch Mistakes
- Quick Reference Checklists
- Questions to Ask
- Related Skills
Files
SKILL.mdcore24,209 bytesSKILL.mdcore24,209 bytesSKILL.mdcore24,209 bytesSKILL.mdcore24,209 bytesSKILL.mdcore24,209 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubpaid-creative-ai
When your agent uses it
When the user wants to create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools. Also use when the user mentions 'ad creative,' 'performance creative,' 'creative testing,' 'creative fatigue,' 'Meta ads,' 'Google ads,' 'TikTok ads,' 'AI ads,' 'ad budget,' 'ROAS,' 'Advantage+,' or 'Performance Max.' This skill covers AI-powered paid creative from generation through performance optimization.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
6,678 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Section 1: Platform AI Creative Systems
- Section 2: AI Creative Generation Tools
- Section 3: Budget Allocation Framework
- Section 4: Modular Creative Testing Framework
- Section 5: Creative Fatigue Management
- Section 6: Kill Criteria and Scaling Rules
- Section 7: Platform Cost Benchmarks (2025-2026)
- Section 8: Cross-Platform Creative Strategy
- Section 9: Attribution and Measurement
- Section 10: AI Creative Compliance
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore26,049 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubpartner-affiliate
When your agent uses it
When the user wants to build a partner program, launch an affiliate program, design integration partnerships, or create distribution partnerships. Also use when the user mentions 'partnerships,' 'affiliate program,' 'referral program,' 'partner ecosystem,' 'integration partner,' 'reseller,' 'co-marketing,' 'PartnerStack,' or 'revenue share.' This skill covers partner and affiliate program design from recruitment through performance optimization.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
7,688 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. Co-Creation vs. Traditional Partner Models
- 2. Partner Program Tiers and Compensation
- 3. Affiliate Program Design and Tooling
- 4. Integration Partnership Strategy
- 5. Marketplace and Directory Strategy
- 6. Partner Recruitment and Activation
- 7. Co-Marketing Playbook
- 8. Attribution: Partner-Sourced vs. Partner-Influenced
- 9. Channel Conflict Management
- 10. AI-Specific Partnership Models
- 11. Partner Program Operations
- 12. Implementation Playbook
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore35,090 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubpositioning-icp
When your agent uses it
When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit. Also use when the user mentions 'ICP,' 'ideal customer profile,' 'positioning,' 'PMF,' 'product-market fit,' 'messaging,' 'buyer persona,' 'enrichment signals,' 'market positioning,' or 'competitive positioning.' This skill covers market positioning, ICP definition, messaging architecture, and PMF validation for AI-native products.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
6,264 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. Positioning Stack for AI Products
- 2. Defining ICP with Enrichment Signals
- 3. Competitive Positioning in Fast-Moving AI Markets
- 4. Messaging Architecture
- 5. The Buyer Shift: Business Leaders as AI Buyers
- 6. Perishable PMF: Quarterly Revalidation
- 7. April Dunford's Positioning Framework Applied to AI
- 8. Implementation Playbook
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore27,850 bytesSKILL.mdcore27,850 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubsales-motion-design
When your agent uses it
When the user wants to choose between PLG and sales-led, design a sales motion, optimize time-to-first-value, or build a value-before-purchase experience. Also use when the user mentions 'PLG,' 'product-led growth,' 'sales-led,' 'sales motion,' 'free trial,' 'freemium,' 'self-serve,' 'demo-first,' 'time-to-first-value,' 'TTFV,' or 'agent-led sales.' This skill covers sales motion selection, value delivery design, and go-to-market motion architecture.
What it loads into context
Frontmatter
117 tokensAlways available to the agent
SKILL.md
5,369 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. The Motion Selection Matrix
- 2. Motion Archetypes in Detail
- 3. Value-Before-Purchase Experiences
- 4. Time-to-First-Value (TTFV) as North Star
- 5. Hybrid Motion Architecture
- 6. CAC Benchmarks and Efficiency
- 7. Motion Migration Paths
- 8. Free Trial vs Freemium Decision
- 9. Stage-Specific Playbooks
- 10. Common Mistakes
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore23,045 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubsocial-selling
When your agent uses it
When the user wants to sell through social media, optimize LinkedIn for sales, build DM sequences, or convert content engagement into pipeline. Also use when the user mentions 'social selling,' 'LinkedIn selling,' 'LinkedIn DMs,' 'social prospecting,' 'LinkedIn Sales Navigator,' 'DM sequences,' 'LinkedIn outreach,' 'social pipeline,' or 'LinkedIn optimization.' This skill covers social selling strategy from profile optimization through DM-to-deal conversion.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
4,159 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. LinkedIn Profile Optimization for Sales
- 2. LinkedIn Sales Navigator
- 3. Content-to-Conversation Framework
- 4. DM Sequence Templates
- 5. LinkedIn Automation Tools
- 6. Social Selling Metrics
- 7. Multi-Platform Social Selling
- 8. Thought Leadership as GTM
- 9. Employee Advocacy and Company Pages
- 10. LinkedIn Algorithm (2026)
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore17,880 bytesSKILL.mdcore17,880 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubsolo-founder-gtm
When your agent uses it
When the user is a solo founder building their GTM motion, wants to scale without hiring, or needs to design an AI agent team for go-to-market. Also use when the user mentions 'solo founder,' 'one-person startup,' 'solopreneur,' 'bootstrapped,' 'no team,' 'AI agents as team,' 'scaling without hiring,' 'founder-led sales,' 'lean GTM,' 'one-person company,' or 'no employees.' This skill covers the complete solo founder GTM playbook from stack selection through agent team design, revenue-stage transitions, time allocation, and when to finally hire.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
5,535 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- 1. Taste as Moat: Why Judgment Beats Headcount
- 2. The One-Person Startup Stack
- 3. Revenue Stage Playbook
- 4. Self-Serve vs Sales Calls Decision Framework
- 5. AI Agent Team: Your GTM Org Chart
- 6. Building in Public and Personal Brand as Distribution
- 7. When to Make the First GTM Hire
- 8. Enterprise Features to Skip
- 9. Founder-Led Sales Process
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore22,597 bytesSKILL.mdcore22,597 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubvideo-outreach
When your agent uses it
When the user wants to build video-first cold outreach, create personalized video at scale, implement async selling, or use AI demo generation for prospecting. Also use when the user mentions 'video outreach,' 'personalized video,' 'video prospecting,' 'Tavus,' 'Sendspark,' 'HeyGen,' 'video email,' 'async selling,' 'video demo,' or 'made this for you.' This skill covers video-first outreach systems from personalization through conversion optimization.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
5,401 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- The "Made This For You" Framework
- Personalized Video at Scale: The Tool Landscape
- Interactive Demo Tools for Async Selling
- Video in the Sales Sequence
- Async Selling: Replacing Meetings with Video
- Conversion Benchmarks
- The Video Prospecting Tech Stack
- Recording Best Practices
- Measuring Performance
- Quick Reference
- Questions to Ask
- Related Skills
Files
SKILL.mdcore24,948 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- ai-cold-outreach
- ai-pricing
- ai-sdr
- ai-seo
- ai-ugc-ads
- content-to-pipeline
- expansion-retention
- gtm-engineering
- gtm-metrics
- lead-enrichment
- multi-platform-launch
- paid-creative-ai
- partner-affiliate
- positioning-icp
- sales-motion-design
- social-selling
- solo-founder-gtm
- video-outreach
Repository facts
- License
- No license detected
- Created
- Feb 13, 2026
- Last pushed
- Feb 13, 2026
- Forks
- 12
- Open issues
- 1
- Project activity
- Slowing
Before you install
Instructions onlyAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 20 notes
skills/ai-pricing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/ai-sdr/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/ai-sdr/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/ai-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/ai-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/ai-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/ai-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/content-to-pipeline/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/gtm-engineering/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/gtm-engineering/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/gtm-engineering/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/lead-enrichment/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/lead-enrichment/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/multi-platform-launch/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/multi-platform-launch/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/multi-platform-launch/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/multi-platform-launch/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/positioning-icp/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/social-selling/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/solo-founder-gtm/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 12 network referencesin 2 files: .claude-plugin/marketplace.json:3 skills/ai-seo/SKILL.md:68
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 12 signals by file
.claude-plugin/marketplace.json
- Network accessline 3
"owner": { "name": "Chad Boyda", "url": "https://github.com/chadboyda" - Network accessline 4
"name": "Chad Boyda", "url": "https://github.com/chadboyda" }, - Network accessline 5
"url": "https://github.com/chadboyda" - Network accessline 8
"description": "AI-native go-to-market skills for Claude Code - positioning, outbound, inbound, paid, retention, and GTM ops", "version": "1.0.0", "repository": "https://github.com/chadboyda/agent-gtm-skills" - Network accessline 9
"version": "1.0.0", "repository": "https://github.com/chadboyda/agent-gtm-skills" }, - Network accessline 10
"repository": "https://github.com/chadboyda/agent-gtm-skills"
skills/ai-seo/SKILL.md
- Network accessline 68
[Credential-related source omitted] - Network accessline 68
[Credential-related source omitted] - Network accessline 70
https://mcp.dataforseo.com/sse - Network accessline 70
https://mcp.dataforseo.com/sse - Network accessline 75
git clone https://github.com/AminForou/mcp-gsc - Network accessline 75
git clone https://github.com/AminForou/mcp-gsc
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 6 facts
- Network access in code of the SKILL.mdskills/ai-seo/SKILL.md:68High confidence
- Network access in code of the SKILL.mdai-seo/SKILL.md:68High confidence
- Network access in code of the SKILL.mdskills/ai-seo/SKILL.md:70High confidence
- Network access in code of the SKILL.mdai-seo/SKILL.md:70High confidence
- Network access in code of the SKILL.mdskills/ai-seo/SKILL.md:75High confidence
- Network access in code of the SKILL.mdai-seo/SKILL.md:75High confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md skills/ai-cold-outreach/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/ai-cold-outreach/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/ai-cold-outreach/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/ai-cold-outreach/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/ai-cold-outreach/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
