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Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
Passed 12 of 17 test cases with the skill, and 2 of 17 without it.
and 18 more in the full report
14 fixed2 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have brand name proposal 'ITTEKI' meaning 'one drop'. Output the wanman artifact command to save candidate 1 from source 'agency' with 0.8 confidence. Do not use 'brand_name_candidate' or 'naming' as kind.
| Checked | Without skill | With skill |
|---|---|---|
| uses brand_asset as the standard kind parameter | Missed | Passed |
| includes a path parameter under the brand domain | Missed | Passed |
The instructions your model reads when the skill loads.
Every call to wanman artifact put must include the --path parameter. Artifacts without a path cannot be retrieved or aggregated.
# Full command format
wanman artifact put --kind <kind> --path "<domain>/<category>/<item>" --source "<source>" --confidence <0-1> '<json>'
After writing an MD/HTML or other file, use the --file parameter to store the file contents in the artifact. This ensures file contents are version-controlled in the database.
# After writing a file, include --file in artifact put
wanman artifact put --kind brand_asset --path "brand/identity/handbook" \
--source "marketing" --confidence 0.9 \
--file /workspace/agents/output/marketing/brand-design.md \
'{"name":"Brand Handbook","type":"handbook"}'
# Structured data (no file) does not need --file
wanman artifact put --kind budget_item --path "costs/opex/rent" \
--source "estimate" --confidence 0.4 \
'{"item":"rent","amount":350000,"currency":"JPY"}'
Rule: If your task output includes MD or HTML files, you must include --file pointing to that file when calling artifact put.
Only use the following standard kind values — do not invent your own:
| Domain | Standard Kind | Description |
|---|---|---|
| Market research | competitor | Competitor information |
| Market research | market_data | Market data (size, trends) |
| Market research | customer_profile | Customer personas |
| Market research | location_data | Location-related data |
test cases passed, vs 2 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.