# Managing Tabnine

> Use when working with Tabnine — tabnine AI coding assistant management and analytics. Covers team seat management, usage tracking, model configuration, privacy settings, code completions analytics, and enterprise deployment monitoring. Use when managing Tabnine licenses, reviewing team adoption metrics, configuring AI models, or analyzing code completion effectiveness.

- Skill: `cloudthinker-ai/managing-tabnine` (Agent Skill)
- Install (CLI): `npx skillmds@latest add cloudthinker-ai/managing-tabnine`
- Raw SKILL.md: https://api.skillmd.com/api/skills/cloudthinker-ai/managing-tabnine/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: cloudthinker-ai (https://skillmd.com/u/cloudthinker-ai)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/cloudthinker-ai/managing-tabnine

---


# Tabnine AI Coding Assistant Management Skill

Manage Tabnine team settings, seats, usage analytics, and privacy controls.

## Core Helper Functions

```bash
#!/bin/bash

# Tabnine API helper
tabnine_api() {
    local method="${1:-GET}"
    local endpoint="$2"
    local data="${3:-}"

    if [ -n "$data" ]; then
        curl -s -X "$method" \
            -H "Authorization: Bearer ${TABNINE_API_KEY}" \
            -H "Content-Type: application/json" \
            "https://api.tabnine.com/v1/${endpoint}" \
            -d "$data"
    else
        curl -s -X "$method" \
            -H "Authorization: Bearer ${TABNINE_API_KEY}" \
            "https://api.tabnine.com/v1/${endpoint}"
    fi
}
```

## MANDATORY: Discovery-First Pattern

**Always discover team and subscription info before querying specifics.**

### Phase 1: Discovery

```bash
#!/bin/bash

echo "=== Tabnine Team Info ==="
tabnine_api GET "team" | jq '{
    team_name: .name,
    plan: .plan,
    member_count: .member_count,
    seat_limit: .seat_limit
}'

echo ""
echo "=== Team Members ==="
tabnine_api GET "team/members?limit=30" | jq -r '
    .members[] | "\(.email)\trole=\(.role)\tstatus=\(.status)\tlast_active=\(.last_active // "never")"
' | column -t | head -20

echo ""
echo "=== Subscription ==="
tabnine_api GET "team/subscription" | jq '{
    plan: .plan,
    status: .status,
    seats_used: .seats_used,
    seats_total: .seats_total,
    billing_cycle: .billing_cycle
}'

echo ""
echo "=== Model Configuration ==="
tabnine_api GET "team/models" | jq -r '
    .models[] | "\(.name)\tstatus=\(.status)\ttype=\(.type)"
' | column -t 2>/dev/null || echo "Default model configuration"
```

### Phase 2: Analysis

```bash
#!/bin/bash

echo "=== Usage Analytics (Last 30 Days) ==="
tabnine_api GET "team/analytics?period=30d" | jq '{
    total_completions: .total_completions,
    total_acceptances: .total_acceptances,
    acceptance_rate_pct: .acceptance_rate,
    active_users: .active_users,
    lines_of_code_generated: .lines_generated
}'

echo ""
echo "=== Language Usage ==="
tabnine_api GET "team/analytics/languages?period=30d" | jq -r '
    .[:10][] | "\(.language)\tcompletions=\(.completions)\taccepted=\(.acceptances)\trate=\(.acceptance_rate)%"
' | column -t

echo ""
echo "=== IDE Distribution ==="
tabnine_api GET "team/analytics/editors?period=30d" | jq -r '
    .[] | "\(.editor)\tusers=\(.user_count)\tcompletions=\(.completions)"
' | column -t

echo ""
echo "=== Privacy Settings ==="
tabnine_api GET "team/privacy" | jq '{
    code_storage: .code_storage_policy,
    training_opt_out: .training_opt_out,
    allowed_repos: (.allowed_repos | length),
    blocked_patterns: (.blocked_patterns | length)
}'

echo ""
echo "=== Inactive Users ==="
tabnine_api GET "team/members?limit=100" | jq '[.members[] | select(.status == "inactive" or .last_active == null)] | length' | xargs echo "Inactive/never-used seats:"
```

## Output Rules
- **TOKEN EFFICIENCY**: Target 50 lines per output
- Aggregate usage by time period, not per-completion
- Never expose individual developer ranking data

## Anti-Hallucination Rules
- NEVER guess team or member details — always query API
- NEVER fabricate usage metrics — query actual analytics
- NEVER assume model availability — check team/models endpoint

## Safety Rules
- NEVER add or remove members without explicit user confirmation
- NEVER change privacy settings without user approval
- NEVER modify model configuration without user consent
- Usage analytics are sensitive — handle with care

## Output Format

Present results as a structured report:
```
Managing Tabnine Report
═══════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]
```

Target ≤50 lines of output. Use tables for multi-resource comparisons.

## Counter-Rationalizations

| Shortcut | Counter | Why |
|----------|---------|-----|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |