supabase
Handles the full Supabase workflow from schema changes to deployment, with built-in security guardrails that catch common traps like RLS...
51-execute-quality-150
[51] EXECUTE. Commitment to maximum quality work with 150% coverage. Use when you need the highest quality output for critical tasks, complex problems, important decisions, or when standard work isn't enough. Triggers on \"maximum quality\", \"150% mode\", \"full quality\", \"critical task\", or ...
Full skill instructions
Core Principle: Commit to excellence. Work at 150% — 100% core delivery + 50% strengthening through verification, alternatives, and risk awareness.
When you invoke this skill, you're asking AI to:
| Dimension | 100% Core | +50% Strengthening |
|---|---|---|
| Context | Understand the task | + Understand dependencies and boundaries |
| Research | Find answers | + Verify from multiple sources |
| Assumptions | Use them | + Test and validate them |
| Solutions | Provide one | + Consider alternatives |
| Risks | Ignore | + Identify and mitigate |
| Confidence | Implicit | + Explicit with percentages |
Evaluate what maximum quality means for THIS task:
Declare your quality approach:
🎯 **Max-Quality 150 Engaged**
For this task, maximum quality means:
- [What I'll read fully]
- [What I'll verify]
- [What alternatives I'll consider]
- [What risks I'll check]
Work with 150% coverage:
Provide result with quality indicators:
When max-quality-150 is active:
❌ Standard: Read first 50 lines of file
✅ Max-Quality: Read entire file + imports + dependencies
❌ Standard: "This function probably handles X"
✅ Max-Quality: "Verified: function handles X (line 45-67)"
❌ Standard: "Here's the fix"
✅ Max-Quality: "Considered 3 approaches, recommending A because..."
❌ Standard: Check if it compiles
✅ Max-Quality: Test edge cases, verify integration, check performance
When delivering with max-quality-150:
🎯 **Max-Quality 150 Delivery**
**Task:** [What was requested]
**Quality Approach Used:**
- ✅ Full context read: [files/systems]
- ✅ Assumptions verified: [list]
- ✅ Alternatives considered: [count]
- ✅ Risks assessed: [count]
**Result:**
[Detailed, high-quality output]
**Confidence:** [X]%
**Verified:** [What was confirmed]
**Assumed:** [What remains unverified]
**Limitations:** [Known gaps]
Invoke max-quality-150 for:
User: "Review this authentication code"
AI: "The code looks fine. Consider adding input validation."
User: "Review this authentication code"
AI: "🎯 Max-Quality 150 Engaged
For this security-critical review, I'll:
- Read full auth module + dependencies
- Check against OWASP standards
- Verify session handling
- Test edge cases mentally
[After thorough review]
🎯 Max-Quality 150 Delivery
Confidence: 92%
Verified Issues:
1. Password not hashed (line 45) - Critical
2. No rate limiting (lines 78-92) - High
3. Session token predictable (line 112) - Critical
Verified Safe:
- Input sanitization present (line 23)
- HTTPS enforced (config verified)
Alternatives Considered:
- bcrypt vs argon2 for hashing
- Token-based vs session-based auth
Risks Identified:
- Current code vulnerable to brute force
- Session hijacking possible
Recommendations: [detailed fixes]"
| Failure | Detection | Recovery |
|---|---|---|
| Shallow work | Skipping full context | Stop, read completely |
| Unverified claims | Assumptions without evidence | Go verify before proceeding |
| Single solution | No alternatives considered | Generate 3+ options |
| Missing risks | No failure analysis | Do risk assessment |
| Low confidence | <85% certainty | More research or flag to user |
Use both when task requires excellent thinking AND excellent execution.
After completing this skill, write to .sessions/SESSION_[date]-[name].md:
### [HH:MM] Execute-Quality 150 Complete
**Task:** <task executed>
**Quality Score:** <confidence %>
**Verified:** <what was verified>
**Artifacts:** <files delivered>
Remember: max-quality-150 is not about being slow — it's about being thorough. The extra effort upfront prevents costly mistakes later. Quality is an investment, not an expense.
Handles the full Supabase workflow from schema changes to deployment, with built-in security guardrails that catch common traps like RLS...
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