talent_status
Get a comprehensive status report for a user: profile summary, current calibration, skill progression stats, trend direction, atrophy warnings, and recommended next actions. Use this for a quick overview at the start of a conversation.
talent_org_summary
Get an organisation-level summary across all profiles. Shows aggregate dependency risk, growth potential, expertise distribution, trend alerts, and per-domain skill breakdown. For org dashboards.
talent_delete_profile
Delete a user's profile and interaction logs.
talent_save_profile
Save or update a user's profile markdown content. Use this after running /talent-assess to write the generated profile, or after /talent-update to save changes.
talent_assess_start
Start a Talent-Augmenting Layer onboarding assessment. Returns the full assessment protocol with all questions, behavioural anchors, and instructions for how to run the assessment conversationally. The chatbot uses this to ask questions one at a time, collect answers, then call talent_assess_score and talent_assess_create_profile to compute scores and save the profile. Call this at the beginning of any onboarding conversation.
talent_assess_score
Compute all Talent-Augmenting Layer scores from raw assessment answers. Takes the numeric answers collected during the assessment (A1-A5, B1-B5, D1-D4 as integers 1-5) and domain expertise ratings. Returns computed ADR, GP, ALI, ESA, and composite TALRI scores with interpretations and recommended calibration.
talent_assess_create_profile
Generate and save a complete Talent-Augmenting Layer profile from assessment data. Call this after talent_assess_score to create the profile file. Takes the computed scores, demographic info, goals, task classifications, and preferences collected during the assessment conversation. Returns the generated profile and saves it to disk.
talent_suggest_domains
Suggest expertise domains for a user based on their role, industry, and responsibilities. Returns a curated list of domain suggestions with descriptions drawn from an industry-specific taxonomy. Use this during the assessment to help identify relevant domains for the Expertise Self-Assessment (ESA). The LLM has override authority and can add or remove domains from the suggestions.
talent_parse_telemetry
Parse <tal_log> telemetry blocks from an LLM response and record them. The system prompt instructs the LLM to emit <tal_log> JSON blocks after each substantive interaction. Call this tool with the full LLM response text to extract and log all telemetry entries. Each entry is saved to the local JSONL interaction log and optionally pushed to the hosted API.