Appllama/appllama-skills vs tw93/Waza
Compare Appllama/appllama-skills and tw93/Waza using the same repository snapshot.
Related repositories are selected from shared categories, topics and mentions in the same lists. Order follows the export’s relevance signals. These links are independent of sponsorship and do not change the leaderboard.
Appllama/appllama-skills
A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens.
- GitHub stars
- 4,948
- Star growth over 7 days
- +26.8%
- Heat
- 7.3
- Before you install
- Instructions only
- Median activation tokens (estimate)
- 3,395 tokens
- Project activity
- Slowing
- License
- MIT
- Supported agents
- Claude Code
tw93/Waza
🥷 Engineering habits you already know, turned into skills AI assistants like Claude Code, Codex and Cursor can run.
- GitHub stars
- 7,526
- Star growth over 7 days
- +0.6%
- Heat
- 6.5
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 3,370 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
Token cost is the median frontmatter plus SKILL.md estimate per skill. Reference files load on demand and scripts run separately. The estimate is unavailable when skill records or token counts are incomplete. Missing growth or heat history stays unmeasured, never zero.
Automated signals, not a guarantee Methodology
