adb-skill-generator
Meta-tool for rapid adb-* skill creation from templates
76
Quality
41%
Does it follow best practices?
Impact
100%
1.88xAverage score across 6 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/adb-meta-automation/adb-skill-generator/SKILL.mdEvaluation results
100%
92%New App Automation Skill Scaffolding
Skill directory structure and naming conventions
Root directory name
0%
100%
scripts/ subdirectory
0%
100%
workflows/ subdirectory
0%
100%
templates/ subdirectory
0%
100%
analysis/ subdirectory
0%
100%
SKILL.md present
0%
100%
SKILL.md frontmatter
0%
100%
Launcher script name
0%
100%
Checker script name
0%
100%
No extra scripts
100%
100%
Script names follow pattern
0%
100%
Skill placed under .claude/skills/
0%
100%
Without context: $0.5223 · 1m 43s · 29 turns · 2,946 in / 5,541 out tokens
With context: $0.7273 · 2m 32s · 31 turns · 709 in / 9,736 out tokens
100%
34%Write an App Launch Automation Script
9-section IndieDevDan script template
Section 1: Docstring
100%
100%
Section 2: Imports
100%
100%
Section 3: Constants
100%
100%
Section 4: Project root
0%
100%
Section 5: Data models
0%
100%
Section 6: Helpers
62%
100%
Section 7: Core logic
100%
100%
Section 8: Formatters
100%
100%
Section 9: CLI interface
70%
100%
Section 10: Entry point
100%
100%
Section ordering
42%
100%
uv run invocation
0%
100%
Without context: $0.4041 · 1m 45s · 19 turns · 25 in / 6,302 out tokens
With context: $0.6544 · 2m 21s · 26 turns · 32 in / 8,571 out tokens
100%
15%Create Automation Workflows for a Fitness App Skill
TOON workflow format and TOON+MD pairing
TOON file: name field
100%
100%
TOON file: description field
100%
100%
TOON file: parameters block
100%
100%
TOON file: phases block
100%
100%
Phase structure
44%
100%
Parameter templating syntax
90%
100%
Recovery rules
55%
100%
Workflow name matches filename
100%
100%
MD: purpose section
100%
100%
MD: parameters documented
100%
100%
MD: example command
37%
100%
MD: error handling section
100%
100%
Advanced workflow uses checker
100%
100%
Without context: $1.1432 · 2m 51s · 40 turns · 219 in / 9,569 out tokens
With context: $0.6377 · 2m 7s · 31 turns · 327 in / 7,500 out tokens
- Repository
- majiayu000/claude-skill-registry
- Commit
6213d1a
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.