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Create high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology.
Passed 18 of 22 test cases with the skill, and 1 of 22 without it.
18 fixed1 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
Systematic workflow for creating production-ready ToolUniverse skills.
Build on the 10 pillars from devtu-optimize-skills:
operation parameterSee OPTIMIZE_INTEGRATION.md for detailed application of each pillar.
| Phase | Duration | Description |
|---|---|---|
| 1. Domain Analysis | 15 min | Understand use cases, data types, analysis phases |
| 2. Tool Discovery | 30-45 min | Search, read configs, test tools (MANDATORY) |
| 3. Tool Creation | 0-60 min | Create missing tools via devtu-create-tool |
| 4. Implementation | 30-45 min | Write python_implementation.py with tested tools |
| 5. Documentation | 30-45 min | Write SKILL.md (agnostic) + QUICK_START.md |
| 6. Validation | 15-30 min | Run test suite, validate checklist, manual verify |
| 7. Packaging | 15 min | Create summary, update tracking |
Total: ~1.5-2 hours (without tool creation).
skills/ for patternstest cases passed, vs 1 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.