Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Founder Coach AI
AI founder coaching system — daily decision journal, accountability tracking, weekly strategy reviews, and AI-era specific questions on moat, commoditization...
skill openclawclawhub Free
AI founder coaching system — daily decision journal, accountability tracking, weekly strategy reviews, and AI-era specific questions on moat, commoditization...
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Package facts
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- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/founder_checkin.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- aiwithabidi
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Documentation
Founder Coach 🎯
Your AI-powered founder accountability system. A structured coaching framework for AI-era founders. Daily check-ins, decision journaling, weekly strategy reviews, and accountability tracking — all stored in your agent's memory.
Quick Start
# Morning check-in python3 {baseDir}/scripts/founder_checkin.py morning # Evening reflection python3 {baseDir}/scripts/founder_checkin.py evening # Weekly review python3 {baseDir}/scripts/founder_checkin.py weekly # View stats python3 {baseDir}/scripts/founder_checkin.py stats # View recent entries python3 {baseDir}/scripts/founder_checkin.py history --days 7
🌅 Morning Brief Template
Use this every morning to set your day:
1. Yesterday Recap
What did I commit to yesterday? What actually got done? (completion rate) What carried over and why?
2. Today's Top 3 Priorities
#PriorityWhy it mattersTime block123 Rule: If you can only do ONE thing today, which is it? That's #1.
3. AI Founder Question of the Day
Pick one to reflect on: "What manual process am I doing that AI could handle?" "Where is my moat — data, workflow, distribution, or brand?" "What's my cost-per-serve and how do I halve it?" "Am I building a product or a feature that GPT will add next quarter?" "What would a 10-person AI-native company do differently?"
Wins
What went well today? What am I proud of?
Losses
What didn't happen? Why? What would I do differently?
Tomorrow
Top 3 priorities for tomorrow One thing to stop doing One thing to start doing
Energy Check
Rate 1-5: Energy [ ] Focus [ ] Motivation [ ]
📊 Weekly Strategy Review
Run every Sunday or Monday. Takes 30-60 minutes.
Performance
Commitments made this week: ___ Commitments kept: ___ (___%) Trend vs last week: ↑ / → / ↓
Key Metrics
MetricLast WeekThis WeekTargetRevenueUsers/CustomersKey Feature ProgressCost-per-serve
Strategic Questions
Moat Analysis Data moat: Are we accumulating proprietary data? What data do we have that others don't? Workflow moat: Are we embedded in customer workflows? Switching cost? Distribution moat: Do we own a channel? Community? Brand? Speed moat: Are we shipping faster than anyone else? Commoditization Risk Which parts of our stack are becoming commoditized? What happens when GPT-5 / Claude 4 / Gemini 3 drops? Are we building on top of APIs that could become competitors? AI-Era Economics Cost-per-serve: What does it cost to serve one customer? Outcome-based pricing: Can we charge for outcomes, not seats? Marginal cost: Does our 1000th customer cost the same as the 1st? AI leverage: Where does AI give us 10x leverage vs humans?
Decisions Made This Week
DecisionContextOptions ConsideredChosenReversible?
Next Week
#1 priority (must happen): #2 priority (should happen): #3 priority (nice to have): One bet/experiment to run:
📓 Decision Journal Format
For important decisions, use this format: ## Decision: [Title] Date: YYYY-MM-DD Stakes: Low / Medium / High / Critical ### Context What's the situation? Why does this decision need to be made now? ### Options 1. **Option A:** [description] - Pro: ... - Con: ... - Cost: ... 2. **Option B:** [description] - Pro: ... - Con: ... - Cost: ... ### Decision Chose: [Option X] Reasoning: [Why] Reversible: Yes/No Review date: [When to check if this was right] ### Outcome (fill in later) Date reviewed: Result: Lesson:
How It Works
Morning: Set 3 commitments Evening: Mark complete/incomplete with notes Weekly: Review completion rate and patterns Monthly: Identify systemic issues
Scoring
90-100% completion: You're either crushing it or setting easy goals 70-89%: Healthy stretch zone 50-69%: Overcommitting or execution issues Below 50%: Stop. Fewer commitments. Execute on 1-2 things.
Patterns to Watch
Always incomplete #3: You're overcommitting — do 2 things well Same item carrying over: It's either not important (cut it) or you're avoiding it (why?) High completion but no progress: You're busy, not productive — wrong priorities Energy always low: Burnout risk — take a break before it takes you
🤖 AI-Era Founder Questions Bank
Rotate through these in morning briefs:
Product & Moat
What would this business look like if AI could do 80% of the work? Are we a thin wrapper around an API? How do we add defensible value? What proprietary data or feedback loops do we create? If OpenAI built our feature tomorrow, what would still be ours?
Economics
What's our cost-per-serve and trajectory? Can we charge for outcomes instead of access? Where do margins come from when AI costs drop 10x yearly? What's our unit economics at 10x scale?
Competition
What can a 3-person AI-native startup build in 3 months that competes with us? Where do we have distribution that new entrants don't? What switching costs have we built?
Personal
Am I building a company or a project? What am I uniquely positioned to build that AI can't easily replicate? Am I spending time on $10/hr tasks or $1000/hr tasks? What would I do if I had 10x the resources? What about 1/10th?
Storage
All entries are stored in memory/founder-journal/: memory/founder-journal/ ├── 2026-02-15.md # Daily entries ├── 2026-02-16.md ├── weekly/ │ └── 2026-W07.md # Weekly reviews └── decisions/ └── 2026-02-15-decision-name.md
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents. 📅 Need help setting up OpenClaw for your business? Book a free consultation
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/founder_checkin.py