Identify the names and codes that fit your supplied classification.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Retrieve a reference dataset and identify entries relevant to supplied labels.
/oo Fiber AI: Read Fiber AI reference dataset [industries, regions, skills or other dataset]. Match [supplied labels] to relevant entries, preserving the names and any identifiers present. For subdivisions use country code [code], and flag ambiguous matches.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Fiber AI API key.
Connect Fiber AI →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Read reference datasets such as industries, regions, skills and technologies. AI can locate relevant entries and explain possible matches; organization credits and rate limits can also be inspected separately.
Retrieve classification and location values for matching or input preparation.
Inspect organization credit, pricing and rate-limit metadata.
Get Fiber AI organization credit balance and per-operation pricing metadata.
Leina 
Wanta 
fiber_ai.get_org_credits Get Fiber AI rate limits for the current organization.
fiber_ai.get_rate_limits List a free Fiber AI enum or reference dataset such as regions or industries.
fiber_ai.list_enum_values No matching tools.
Available categories include industries, NAICS codes, regions, subdivisions, languages, skills, technologies and time zones, alongside other defined reference sets.
Select the subdivisions dataset and supply the country’s two- or three-letter code.
Compare the returned entries with your source meaning. Keep ambiguous labels unresolved instead of forcing a code assignment.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.