unstuck-scaling
Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers
Install
npx skillscat add coowoolf/insighthunt-skills/unstuck-scaling Install via the SkillsCat registry.
SKILL.md
The Unstuck Scaling Framework
Overview
A systematic approach to improving AI reliability by treating "getting stuck" as the primary bottleneck. Instead of broad improvements, painstakingly identify specific failure modes and create tight feedback loops.
Core principle: Address specific bottlenecks, not general intelligence.
The Cycle
┌─────────────────────────────────────────────────────────────────┐
│ │
│ ┌───────────────────┐ │
│ │ IDENTIFY │ │
│ │ 'Stuck' Points │ │
│ │ (auth, payments) │ │
│ └─────────┬─────────┘ │
│ │ │
│ ▼ │
│ ┌───────────────────┐ │
│ │ ADDRESS │ │
│ │ Specific │ │
│ │ Bottlenecks │ │
│ └─────────┬─────────┘ │
│ │ │
│ ▼ │
│ ┌───────────────────┐ │
│ │ QUANTITATIVELY │ │
│ │ Tune System │ │
│ │ (pass/fail rate) │ │
│ └─────────┬─────────┘ │
│ │ │
│ ▼ │
│ ┌───────────────────┐ │
│ │ FAST FEEDBACK │─────────────────────────┐ │
│ │ Loop │ │ │
│ └───────────────────┘ │ │
│ ▲ │ │
│ └───────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘Key Principles
| Principle | Description |
|---|---|
| Specific blockers | Identify exact points where AI fails |
| Quantitative tuning | Measure stuck rates, not vibes |
| Fast feedback | Rapid iteration on fixes |
| Bottleneck focus | Specific roadblocks > general intelligence |
Common Mistakes
- Focusing on general model improvements
- Failing to measure "stuck" rates quantitatively
- Slow feedback loops preventing rapid iteration
Source: Anton Osika (Lovable, GPT Engineer) via Lenny's Podcast
Install
npx skillscat add coowoolf/insighthunt-skills/unstuck-scaling Install via the SkillsCat registry.