Summary
Continuously improve the context quality of skills so they actually work when loaded into AI agents. Better context = skills work = retention. This is core product quality work.
Areas to improve
- Progressive disclosure — skills should expose essential info first, details on demand
- Structured metadata — standardize how skills declare their capabilities, triggers, and constraints
- Context window optimization — ensure skills are formatted to maximize signal-to-noise ratio in limited context windows
- Trigger phrase accuracy — validate that documented trigger phrases actually match how users invoke skills
- Dependency context — when a skill depends on another, provide context about the relationship
- Version-specific context — context should adapt to the installed version
Why this matters
- Product: 5/5, Viral: 2/5
- Core product quality — if skills don't work well, nothing else matters
- This is a continuous effort, not a one-time milestone
- Directly impacts retention: users who have good skill experiences keep using Tank
Priority context
- Phase: Continuous — do continuously, don't roadmap as a single milestone
- "Better context = skills actually work = retention"
Success metrics
- Reduced "skill didn't work" complaints
- Higher skill activation rate (installed → actually used)
- Fewer token wasted on irrelevant skill context
Summary
Continuously improve the context quality of skills so they actually work when loaded into AI agents. Better context = skills work = retention. This is core product quality work.
Areas to improve
Why this matters
Priority context
Success metrics