investor-outreach▌
affaan-m/everything-claude-code · updated Apr 30, 2026
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Draft personalized, low-friction investor communications for cold outreach, warm intros, follow-ups, and updates.
- ›Structures cold emails with specific personalization hooks (portfolio companies, public thesis, mutual connections) and a single concrete ask
- ›Provides templates for warm intro requests with forwardable blurbs under 100 words, follow-up cadence (day 4–5 and day 10–12), and post-meeting updates
- ›Enforces core rules: proof over adjectives, no generic copy, explicit asks, and
Investor Outreach
Write investor communication that is short, concrete, and easy to act on.
When to Activate
- writing a cold email to an investor
- drafting a warm intro request
- sending follow-ups after a meeting or no response
- writing investor updates during a process
- tailoring outreach based on fund thesis or partner fit
Core Rules
- Personalize every outbound message.
- Keep the ask low-friction.
- Use proof instead of adjectives.
- Stay concise.
- Never send copy that could go to any investor.
Voice Handling
If the user's voice matters, run brand-voice first and reuse its VOICE PROFILE.
This skill should keep the investor-specific structure and ask discipline, not recreate its own parallel voice system.
Hard Bans
Delete and rewrite any of these:
- "I'd love to connect"
- "excited to share"
- generic thesis praise without a real tie-in
- vague founder adjectives
- begging language
- soft closing questions when a direct ask is clearer
Cold Email Structure
- subject line: short and specific
- opener: why this investor specifically
- pitch: what the company does, why now, and what proof matters
- ask: one concrete next step
- sign-off: name, role, and one credibility anchor if needed
Personalization Sources
Reference one or more of:
- relevant portfolio companies
- a public thesis, talk, post, or article
- a mutual connection
- a clear market or product fit with the investor's focus
If that context is missing, state that the draft still needs personalization instead of pretending it is finished.
Follow-Up Cadence
Default:
- day 0: initial outbound
- day 4 or 5: short follow-up with one new data point
- day 10 to 12: final follow-up with a clean close
Do not keep nudging after that unless the user wants a longer sequence.
Warm Intro Requests
Make life easy for the connector:
- explain why the intro is a fit
- include a forwardable blurb
- keep the forwardable blurb under 100 words
Post-Meeting Updates
Include:
- the specific thing discussed
- the answer or update promised
- one new proof point if available
- the next step
Quality Gate
Before delivering:
- the message is genuinely personalized
- the ask is explicit
- the proof point is concrete
- filler praise and softener language are gone
- word count stays tight
How to use investor-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 investor-outreach
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches investor-outreach from GitHub repository affaan-m/everything-claude-code 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 investor-outreach. Access the skill through slash commands (e.g., /investor-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- ★★★★★Yuki Sharma· Dec 12, 2024
investor-outreach has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kofi Garcia· Dec 4, 2024
investor-outreach fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Shah· Nov 23, 2024
investor-outreach is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 3, 2024
Registry listing for investor-outreach matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ira Park· Nov 3, 2024
Useful defaults in investor-outreach — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Pratham Ware· Oct 22, 2024
investor-outreach reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Tariq Anderson· Oct 14, 2024
Keeps context tight: investor-outreach is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Naina Bansal· Sep 21, 2024
Useful defaults in investor-outreach — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yash Thakker· Sep 9, 2024
We added investor-outreach from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Neel Smith· Sep 5, 2024
I recommend investor-outreach for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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