investor-materials▌
affaan-m/everything-claude-code · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Create consistent, credible investor materials aligned to a single source of truth.
- ›Covers pitch decks, one-pagers, investor memos, financial models, accelerator applications, and use-of-funds tables
- ›Enforces cross-document consistency by establishing canonical facts (traction, pricing, raise size, team, milestones) before drafting
- ›Includes structured guidance for each asset type, from pitch deck slide order to financial model assumptions and sensitivity analysis
- ›Flags common red
Investor Materials
Build investor-facing materials that are consistent, credible, and easy to defend.
When to Activate
- creating or revising a pitch deck
- writing an investor memo or one-pager
- building a financial model, milestone plan, or use-of-funds table
- answering accelerator or incubator application questions
- aligning multiple fundraising docs around one source of truth
Golden Rule
All investor materials must agree with each other.
Create or confirm a single source of truth before writing:
- traction metrics
- pricing and revenue assumptions
- raise size and instrument
- use of funds
- team bios and titles
- milestones and timelines
If conflicting numbers appear, stop and resolve them before drafting.
Core Workflow
- inventory the canonical facts
- identify missing assumptions
- choose the asset type
- draft the asset with explicit logic
- cross-check every number against the source of truth
Asset Guidance
Pitch Deck
Recommended flow:
- company + wedge
- problem
- solution
- product / demo
- market
- business model
- traction
- team
- competition / differentiation
- ask
- use of funds / milestones
- appendix
If the user wants a web-native deck, pair this skill with frontend-slides.
One-Pager / Memo
- state what the company does in one clean sentence
- show why now
- include traction and proof points early
- make the ask precise
- keep claims easy to verify
Financial Model
Include:
- explicit assumptions
- bear / base / bull cases when useful
- clean layer-by-layer revenue logic
- milestone-linked spending
- sensitivity analysis where the decision hinges on assumptions
Accelerator Applications
- answer the exact question asked
- prioritize traction, insight, and team advantage
- avoid puffery
- keep internal metrics consistent with the deck and model
Red Flags to Avoid
- unverifiable claims
- fuzzy market sizing without assumptions
- inconsistent team roles or titles
- revenue math that does not sum cleanly
- inflated certainty where assumptions are fragile
Quality Gate
Before delivering:
- every number matches the current source of truth
- use of funds and revenue layers sum correctly
- assumptions are visible, not buried
- the story is clear without hype language
- the final asset is defensible in a partner meeting
How to use investor-materials 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-materials
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches investor-materials 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-materials. Access the skill through slash commands (e.g., /investor-materials) 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
Submit your Claude Code skill and start earning
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
4.8★★★★★34 reviews- ★★★★★Tariq Okafor· Dec 28, 2024
I recommend investor-materials for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Pratham Ware· Dec 12, 2024
investor-materials reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Isabella Menon· Dec 12, 2024
Registry listing for investor-materials matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Daniel Lopez· Dec 8, 2024
investor-materials reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ira Thompson· Nov 27, 2024
I recommend investor-materials for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Thompson· Nov 19, 2024
investor-materials reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yash Thakker· Nov 3, 2024
I recommend investor-materials for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Bansal· Nov 3, 2024
Useful defaults in investor-materials — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Oct 22, 2024
Useful defaults in investor-materials — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Ramirez· Oct 22, 2024
I recommend investor-materials for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 34