Go-to-market strategy for AI products. These aren't generic AI principles — they're patterns from selling autonomous AI agents into enterprises where "autonomous" scared buyers and "teammate" converted them.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add github/awesome-copilot --skill gtm-ai-gtmCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongtm-ai-gtmExecute the skills CLI command in your project's root directory to begin installation:
epx add github/awesome-copilot --skill gtm-ai-gtmFetches gtm-ai-gtm from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/gtm-ai-gtm
Restart Cursor to activate gtm-ai-gtm. Access via /gtm-ai-gtmin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
dotnet-best-practices
github/awesome-copilot · Productivity · same repo
polyglot-test-agent
github/awesome-copilot · Testing · same repo
create-readme
github/awesome-copilot · Productivity · same repo
penpot-uiux-design
github/awesome-copilot · Frontend · same repo
beautiful-mermaid
intellectronica/agent-skills · AI/ML · same category
brainstorm
buiducnhat/agent-skills · AI/ML · same category
Useful defaults in gtm-ai-gtm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gtm-ai-gtm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: gtm-ai-gtm is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in gtm-ai-gtm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend gtm-ai-gtm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: gtm-ai-gtm is the kind of skill you can hand to a new teammate without a long onboarding doc.
gtm-ai-gtm has been reliable in day-to-day use. Documentation quality is above average for community skills.
gtm-ai-gtm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
gtm-ai-gtm reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: gtm-ai-gtm is focused, and the summary matches what you get after install.
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