Install
$ agentstack add skill-wrm3-ai-project-template-startup-resource-access ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Startup Resource Access Skill
Overview
This skill provides comprehensive guidance for accessing critical startup resources across ALL industries - from cloud infrastructure (tech) to lab space (biotech) to manufacturing partners (physical products). Get non-dilutive funding through grants, access world-class facilities, and leverage programs designed specifically for startups.
What This Skill Covers:
- Cloud infrastructure programs (AWS, GCP, Azure credits - up to $150k)
- Lab space and equipment (biotech/hardware startups)
- Manufacturing partners (physical products - China, Mexico, US)
- Grant programs (SBIR, STTR, NSF, NIH, DOE - millions in non-dilutive funding)
- Accelerators and incubators (Y Combinator, Techstars, industry-specific)
- University resources (tech transfer, lab access, talent)
- Facilities and coworking (office space, makerspaces)
- Cost optimization strategies
Who This Is For:
- Tech startups needing cloud infrastructure
- Biotech/hardware startups needing lab space
- Physical product startups needing manufacturing
- Any startup seeking non-dilutive funding (grants)
- Founders looking for accelerator programs
- Startups needing facilities/workspace
Core Concepts
Resource Categories
1. Cloud Infrastructure (Tech Startups)
- AWS Activate: Up to $100,000 in credits
- Google Cloud for Startups: Up to $100,000 in credits
- Microsoft for Startups (Azure): Up to $150,000 in credits
- Alternative providers: DigitalOcean, Heroku, Linode
- Requirements: Typically VC-backed or accelerator participation
2. Lab Space & Equipment (Biotech/Hardware)
- Wet labs (biology, chemistry)
- Dry labs (electronics, software)
- Shared equipment (microscopes, sequencers, 3D printers)
- Major networks: BioLabs, JLABS, QB3, Lab Launch
- Costs: $500-$3,000/month per bench
3. Manufacturing Partners (Physical Products)
- Sourcing platforms: Alibaba, Thomasnet, MFG.com
- Geographic options: China (cost), Mexico (speed), US (quality)
- Vetting process: samples, audits, references
- Quality control and IP protection
- MOQ negotiation strategies
4. Grant Programs (Non-Dilutive Funding)
- SBIR: $50k-$1.5M across 11 federal agencies
- STTR: Similar to SBIR, requires university partnership
- NSF I-Corps: $50k for customer discovery
- NIH grants: R01, R21, R43/44
- DOE, USDA, NASA programs
- State and local grants
5. Accelerators & Incubators
- Tier 1: Y Combinator, Techstars, 500 Startups
- Industry-specific: Rock Health, IndieBio, HAX
- Corporate: Plug and Play, Microsoft ScaleUp
- University-affiliated programs
- Application strategies
6. University Resources
- Technology transfer offices
- Lab access for alumni/community
- Student talent (interns, co-founders)
- Research partnerships
- IP licensing deals
7. Facilities & Coworking
- Coworking: WeWork, Regus, local spaces
- Makerspaces: TechShop, FabLab, local
- Industry-specific facilities
- Virtual offices for compliance
Resource Acquisition Timeline
Month 1-3: Foundation
- Apply for cloud credits (if tech startup)
- Identify lab space needs (if biotech/hardware)
- Research grant programs (all startups)
- Apply to accelerators (if early stage)
Month 4-6: Execution
- Secure cloud infrastructure
- Sign lab space agreement
- Submit first grant applications
- Identify manufacturing partners
Month 7-12: Scale
- SBIR Phase I applications
- Manufacturing pilot runs
- Additional grant submissions
- Expand lab space if needed
Year 2+: Growth
- SBIR Phase II ($750k-$1.5M)
- Scale manufacturing
- R01 grants (if research-focused)
- Transition from shared to dedicated facilities
Cloud Infrastructure Programs
AWS Activate
Overview:
- Up to $100,000 in AWS credits
- Technical support and training
- Access to AWS experts
- Valid for 2 years
Tiers:
- Portfolio Tier ($100,000 credits):
- Requires VC funding or accelerator participation
- Eligible VCs: Sequoia, a16z, Accel, 100+ others
- Eligible accelerators: Y Combinator, Techstars, etc.
- Founders Tier ($5,000 credits):
- Self-service application
- No funding requirement
- For very early-stage startups
Application Process:
- Visit aws.amazon.com/activate
- Select tier based on eligibility
- Provide company information
- Submit investor/accelerator proof (Portfolio tier)
- Approval typically within 1-2 weeks
Best Practices:
- Apply as soon as you have investor/accelerator proof
- Credits expire after 2 years - use strategically
- Monitor usage to avoid surprise bills
- Set up billing alerts at 50%, 75%, 90%
- Use Reserved Instances for predictable workloads
Common Services to Use:
- EC2 (compute)
- S3 (storage)
- RDS (databases)
- Lambda (serverless)
- CloudFront (CDN)
Google Cloud for Startups
Overview:
- Up to $100,000 in GCP credits
- Technical support
- Access to Google engineers
- Valid for 1-2 years
Requirements:
- VC-backed or accelerator participation
- Eligible partners: Y Combinator, Techstars, GV portfolio
- Company less than 5 years old
- First-time GCP credit recipient
Application Process:
- Visit cloud.google.com/startup
- Apply through partner (VC/accelerator)
- Provide company details
- Approval within 2-3 weeks
Unique Benefits:
- BigQuery credits (data analytics)
- Google Workspace credits
- Firebase credits (mobile backend)
- Access to Google AI/ML APIs
Best Practices:
- Leverage BigQuery for analytics
- Use Cloud Functions for serverless
- Firebase for rapid mobile development
- Monitor with Cloud Monitoring
Microsoft for Startups (Azure)
Overview:
- Up to $150,000 in Azure credits
- Highest credit amount of major providers
- Technical support and co-selling opportunities
- Valid for 2 years
Requirements:
- VC-backed (pre-Series A) or accelerator participation
- Company less than 10 years old
- B2B SaaS focus (preferred)
- Not yet using Azure significantly
Application Process:
- Visit microsoft.com/startups
- Apply directly or through partner
- Complete detailed application
- Phone screening (for larger credit amounts)
- Approval within 2-4 weeks
Unique Benefits:
- Co-selling through Microsoft sales team
- Office 365 and Microsoft 365 credits
- GitHub Enterprise access
- Azure DevOps
- Strong enterprise GTM support
Best Practices:
- Leverage co-selling if B2B
- Use Azure AD for enterprise customers
- Take advantage of Office 365 bundle
- Explore Microsoft marketplace listing
Alternative Cloud Providers
DigitalOcean Hatch:
- $50,000 in credits (if YC-backed)
- $500-$5,000 for other startups
- Simple, developer-friendly platform
- Great for smaller projects
Heroku:
- Limited startup credits
- Platform-as-a-Service (PaaS)
- Easiest deployment for web apps
- More expensive at scale
IBM Cloud:
- Up to $120,000 in credits
- Strong AI/ML offerings (Watson)
- Enterprise focus
- Good for specific use cases (AI, blockchain)
Oracle Cloud:
- Up to $100,000 in credits
- Strong database offerings
- Emerging startup program
- Good for Oracle-heavy workloads
Lab Space & Equipment
Overview of Lab Types
Wet Labs:
- Biology and chemistry work
- BSL-1, BSL-2 certified spaces
- Shared equipment: incubators, centrifuges, microscopes
- Common users: Biotech, pharma, medical devices
- Cost: $1,500-$3,000/month per bench
Dry Labs:
- Electronics, software, light manufacturing
- 3D printers, soldering stations, electronics test equipment
- Common users: Hardware, robotics, IoT
- Cost: $500-$1,500/month per bench
Shared Equipment Access:
- High-end instruments (sequencers, mass specs)
- Charged by usage hour
- Requires training and certification
- Can save $100k+ in equipment costs
Major Lab Space Providers
BioLabs
Overview:
- Premier biotech co-working space
- 11 locations across US
- 400+ companies supported since 2009
- Strong track record (75+ exits, $8B+ raised)
Locations:
- Boston (Seaport, Cambridge)
- San Francisco (Mission Bay)
- North Carolina (Durham, RTP)
- Philadelphia
- New York (Genome Center)
- Los Angeles
- Maryland
- Pennsylvania
What's Included:
- Furnished lab space
- Shared equipment (microscopes, centrifuges, incubators)
- Common areas and conference rooms
- High-speed internet and IT support
- Autoclave and cold storage
- Chemical waste disposal
- Events and networking
Costs:
- $2,000-$3,000/month per bench
- Equipment usage fees (varies)
- 6-12 month minimum commitment
- Security deposit required
Application Process:
- Submit online application
- Interview with BioLabs team
- Present your company (pitch deck)
- Background check and references
- Approval within 4-6 weeks
- Move-in coordination
Best For:
- Early-stage biotech (pre-Series A)
- Academic spinouts
- Platform technology companies
- Diagnostic and therapeutic development
JLABS (Johnson & Johnson)
Overview:
- Johnson & Johnson's startup incubator network
- 9 locations globally
- No-strings-attached model (no equity taken)
- Access to J&J mentorship and resources
Locations:
- San Francisco (Mission Bay)
- San Diego (Torrey Pines)
- Houston (TMC Innovation Institute)
- Toronto
- New York (New York Genome Center)
- Philadelphia
- Washington DC
- Boston
- Shanghai
What's Included:
- Fully equipped lab space
- Shared core facilities
- Business development support
- Access to J&J experts and mentors
- Networking events
- No equity required
Focus Areas:
- Pharmaceuticals
- Medical devices
- Consumer health
- Digital health
Costs:
- Subsidized rates ($1,500-$2,500/month)
- Equipment included
- 12-18 month terms
Application Process:
- Online application (detailed)
- Initial screening
- In-person pitch (if invited)
- Due diligence
- Selection committee review
- Highly competitive (10-15% acceptance)
Best For:
- Life sciences companies
- Companies interested in J&J partnership
- Startups needing mentorship
- Global expansion plans
QB3 (University of California)
Overview:
- California Institute for Quantitative Biosciences
- UC system-affiliated incubators
- Strong academic connections
- Focus on Bay Area
Locations:
- UC Berkeley (Berkeley)
- UCSF (Mission Bay, SF)
- UC Santa Cruz
What's Included:
- Lab benches and shared equipment
- Access to UC core facilities
- Student talent pipeline
- Faculty advisors
- Startup programming
Costs:
- $1,200-$2,000/month per bench
- UC affiliation discounts available
- Flexible terms (month-to-month possible)
Application Process:
- Submit application online
- Interview
- Rolling admissions
- Faster process than commercial labs
Best For:
- UC alumni/faculty spinouts
- Companies wanting academic partnerships
- Early-stage (pre-seed to seed)
- Bay Area location preference
Lab Launch (San Francisco)
Overview:
- Biotech incubator in SF
- Flexible, startup-friendly terms
- Mix of wet and dry lab space
- Strong community focus
Location:
- San Francisco (Bayview)
What's Included:
- Wet and dry lab benches
- Shared equipment
- Conference rooms
- Mentorship and programming
- Flexible layouts
Costs:
- $1,500-$2,500/month
- Month-to-month options available
- Equipment fees separate
Best For:
- Very early stage startups
- Companies needing flexibility
- SF-based founders
- Mixed wet/dry lab needs
Other Lab Space Options
IndieBio:
- Accelerator + lab space
- $250k investment for 8% equity
- 4-month program
- SF and New York locations
- Focus: Biotech, food tech, materials
Launch Labs (Stanford):
- Stanford-affiliated incubator
- Lab and office space
- Access to Stanford facilities
- Stanford ties required/preferred
Genspace (Community Bio Lab):
- Brooklyn, NY
- Community-driven
- Very affordable ($200-$500/month)
- BSL-1 only
- Great for hobby/side projects
University Core Facilities:
- Many universities offer fee-for-service access
- Sequencing, imaging, proteomics
- Requires training and certification
- Can be very cost-effective
Lab Equipment Sharing
Equipment to Share (Don't Buy):
- DNA sequencers ($50k-$500k)
- Mass spectrometers ($100k-$1M)
- Flow cytometers ($50k-$300k)
- Confocal microscopes ($100k-$500k)
- Ultracentrifuges ($30k-$100k)
Equipment to Own (If Frequent Use):
- Pipettes
- Vortexers
- Basic microscopes
- Thermocyclers (if daily use)
- Microcentrifuges
Cost Comparison: | Equipment | Purchase | Usage Fee | Break-Even | |-----------|----------|-----------|------------| | Sequencer | $100k | $500/run | 200 runs | | Mass Spec | $250k | $100/hour | 2,500 hours | | Flow Cytometer | $150k | $75/hour | 2,000 hours |
Manufacturing Partners
Overview
Finding and managing manufacturing partners is critical for physical product startups. The right partner can make or break your product launch.
Key Considerations:
- Geography (cost vs. speed vs. quality trade-offs)
- Minimum Order Quantities (MOQs)
- Quality control processes
- IP protection
- Communication and language
- Lead times
- Tooling costs
Sourcing Platforms
Alibaba (China)
Overview:
- World's largest B2B marketplace
- 200,000+ suppliers
- Best for China manufacturing
- Wide range of products and services
How to Use:
- Search for product category
- Filter by Trade Assurance, Gold Supplier
- Request quotes from 5-10 suppliers
- Compare pricing, MOQs, lead times
- Order samples ($50-$500)
- Visit factory (if possible)
- Place pilot order
Costs:
- Sample orders: $50-$500
- MOQs: Typically 500-5,000 units
- Tooling: $2,000-$50,000 (depends on product)
- Unit costs: 30-70% lower than US
Pros:
- Lowest cost
- Huge supplier base
- Can find manufacturers for anything
- Good for high-volume production
Cons:
- Quality can be inconsistent
- Long lead times (60-120 days)
- Communication challenges
- IP protection concerns
- Shipping costs and delays
Best Practices:
- Always use Trade Assurance
- Get samples before committing
- Hire inspection company (SGS, Bureau Veritas)
- Visit factory if ordering $50k+
- Start with small orders
- Build relationship slowly
Thomasnet (USA)
Overview:
- North American industrial sourcing
- 500,000+ suppliers
- Focus on US and Canadian manufacturers
- High quality, higher cost
How to Use:
- Search product or capability
- Filter by location, certifications
- Submit RFQ (Request for Quote)
- Receive quotes from suppliers
- Evaluate and negotiate
- Place order
Costs:
- MOQs: Often lower (100-1,000 units)
- Unit costs: 2-3x China pricing
- Tooling: $5,000-$100,000
- Lead times: 30-60 days
Pros:
- Higher quality control
- Faster communication
- Shorter lead times
- Easier to visit factories
- Better IP protection
- "Made in USA" branding
Cons:
- Higher costs
- Smaller supplier base
- Less flexible on pricing
- Higher MOQs sometimes
Best For:
- Products requiring high quality
- Quick iteration needed
- Made in USA positioning
- Complex/regulated products
MFG.com (Global)
Overview:
- Global manufacturing marketplace
- RFQ-based system
- Covers US, China, Mexico, Europe
- Good for custom manufacturing
How to Use:
- Post RFQ with specifications
- Receive quotes from suppliers
- Evaluate proposals
- Select manufacturer
- Manage project through platform
Costs:
- Varies by supplier and region
- Competitive bidding helps reduce costs
- Subscription fee for buyers ($150-$500/month for premium)
Pros:
- Competitive quotes
- Global reach
- Project management tools
- Supplier ratings/reviews
Cons:
- Subscription costs for full features
- Quality varies by supplier
- Need to vet carefully
Best For:
- Custom manufacturing
- One-off or prototype runs
- Comparing global options
- Complex parts/assemblies
Geographic Options
China Manufacturing
When to Choose:
- High volume production (5,000+ units)
- Cost is primary concern
- Standard/proven desig
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: wrm3
- Source: wrm3/aiproject_template
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.