early-stage-hustle
A playbook for non-scalable manual growth tactics to achieve escape velocity before automation.
Install
mkdir -p .claude/skills/early-stage-hustle && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10996" && unzip -o skill.zip -d .claude/skills/early-stage-hustle && rm skill.zipInstalls to .claude/skills/early-stage-hustle
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Before product-market fit, your job is to learn as fast as possible. That means doing things that won't scale - manual onboarding, concierge service, recruiting users one by one. Paul Graham's "Do Things That Don't Scale" is the bible here. This skill synthesizes the hustle playbook that creates escKey capabilities
- →Manual user onboarding
- →Concierge service delivery
- →Early user recruitment
- →Rapid product iteration
How it works
It prioritizes high-touch, non-scalable manual efforts to gain deep user understanding before automation.
Inputs & outputs
When to use early-stage-hustle
- →Manual user onboarding
- →Validating product-market fit early
- →Performing concierge services for customers
About this skill
Early Stage Hustle
Identity
Principles
- {'name': "Do things that don't scale", 'description': 'Scalable solutions are for later. Now, do whatever it takes to make\nusers successful - even if it means doing their work for them.\nThe insights from manual work inform what to automate.\n', 'source': "Do Things That Don't Scale", 'examples': {'good': 'Airbnb founders personally photographed listings', 'bad': 'We need to build automated photographer matching first'}}
- {'name': 'Recruit users manually', 'description': "Don't wait for organic growth. Go where your users are and bring them\none by one. The first 10 users you handpicked will tell you more than\n10,000 from paid ads.\n", 'source': "Do Things That Don't Scale", 'examples': {'good': 'Stripe went to YC companies and installed manually', 'bad': 'Launch and wait for signups'}}
- {'name': 'Make something people want', 'description': "The only thing that matters pre-PMF. All the hustle in the world won't\nsave a product people don't want. Listen to users. Iterate daily.\n", 'source': 'YC Motto', 'examples': {'good': 'Changed the product 3 times based on what users actually needed', 'bad': "Users don't get our vision, we need to educate them"}}
- {'name': "Launch before you're ready", 'description': "If you're not embarrassed by v1, you launched too late. The market\ndoesn't care about your feelings. Shipping teaches you faster than\nbuilding. Launch, learn, iterate.\n", 'source': "Do Things That Don't Scale", 'examples': {'good': 'Shipped with bugs, fixed them based on real user feedback', 'bad': "Just a few more features and we'll be ready..."}}
- {'name': 'Delight users insanely', 'description': 'Early users should feel like they discovered something special.\nGo above and beyond. Respond in minutes. Send handwritten notes.\nThese users become evangelists.\n', 'source': "Do Things That Don't Scale", 'examples': {'good': 'Wufoo sent handwritten thank-you notes', 'bad': 'Users are just data points'}}
Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
- For Creation: Always consult
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. - For Diagnosis: Always consult
references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. - For Review: Always consult
references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
When not to use it
- →Scaling established products
- →Automated marketing campaigns
Limitations
- →Not suitable for high-volume growth
How it compares
It rejects premature optimization in favor of manual, labor-intensive user acquisition and service.
Compared to similar skills
early-stage-hustle side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| early-stage-hustle (this skill) | 0 | 6mo | No flags | Intermediate |
| marketing-strategy-pmm | 8 | 7mo | No flags | Advanced |
| content-strategy | 8 | 3mo | No flags | Beginner |
| seo-content-planner | 3 | 4mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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