cold-outreach▌
gtmagents/gtm-agents · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Progressive disclosure: load full templates/examples only when actively generating outreach copy.
Cold Outreach Mastery
When to Use
- Building outbound sequences for new personas or segments
- Personalizing cold email / LinkedIn outreach at scale
- Diagnosing low open or reply rates in existing sequences
- Designing follow-up cadences for SDR/XDR or founder-led sales
Framework
- Core Principles – pattern interruption, value before ask, authentic personalization, mobile-first formatting, single CTA.
- SPARK Flow – Subject hook → Personalized opening → Agitate problem → Relevant value → Kick-off CTA.
- Channel Mix – email templates + LinkedIn touches + call follow-ups working together.
- Cadence Design – 3-touch follow-up over 14 days with new insights each step.
- Experimentation – test subject/openers/value props/CTAs/send times; watch ≥30% opens, ≥10% replies.
Templates
- Subject line bank ("Quick question about [initiative]", "Noticed you're hiring [role]", etc.)
- Email templates (Observation & Insight, Problem/Solution, Referral) plus LinkedIn connection + post-accept scripts.
- Personalization trigger sheet (company + individual signals) and follow-up schedule checklist.
- Power phrase/reference list and industry-specific angle cheatsheets (SaaS, e-comm, financial services, healthcare).
Tips
- Anchor every opener on a real trigger (funding, hiring, post) and keep lines <60 chars for mobile readability.
- Offer a resource or benchmark before requesting time; it increases reply rate.
- Log A/B test results weekly to evolve templates, and share top-performing subject lines with the team.
- Keep all templates in a shared library with progressive disclosure to avoid template fatigue.
Progressive disclosure: load full templates/examples only when actively generating outreach copy.
How to use cold-outreach on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add cold-outreach
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches cold-outreach from GitHub repository gtmagents/gtm-agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate cold-outreach. Access the skill through slash commands (e.g., /cold-outreach) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★37 reviews- ★★★★★Hana Jain· Dec 28, 2024
cold-outreach has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Isabella Smith· Dec 16, 2024
cold-outreach fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Dhruvi Jain· Dec 12, 2024
Registry listing for cold-outreach matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Arya Robinson· Dec 4, 2024
cold-outreach is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Arya Verma· Nov 23, 2024
Keeps context tight: cold-outreach is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Nov 3, 2024
Solid pick for teams standardizing on skills: cold-outreach is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Oct 22, 2024
I recommend cold-outreach for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Soo Ghosh· Oct 14, 2024
We added cold-outreach from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Isabella Huang· Sep 21, 2024
Solid pick for teams standardizing on skills: cold-outreach is focused, and the summary matches what you get after install.
- ★★★★★Hana Malhotra· Sep 5, 2024
cold-outreach is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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