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managing-agora

Use when working with Agora — agora real-time engagement platform management for video/voice calling, interactive live streaming, and real-time messaging. Use when monitoring active channels, analyzing call quality metrics, reviewing usage statistics, managing projects, or troubleshooting Agora RTC sessions.

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  • SKILL.md5.4 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Agora Management Skill

Manage and analyze Agora real-time communication resources including channels, usage, and quality metrics.

API Conventions

Authentication

API calls use Basic Auth with Customer ID and Customer Secret, or RESTful token. Credentials injected automatically.

Base URL

https://api.agora.io

Core Helper Function

#!/bin/bash

agora_api() {
    local method="$1"
    local endpoint="$2"
    local data="${3:-}"

    if [ -n "$data" ]; then
        curl -s -X "$method" \
            -u "$AGORA_CUSTOMER_ID:$AGORA_CUSTOMER_SECRET" \
            -H "Content-Type: application/json" \
            "https://api.agora.io${endpoint}" \
            -d "$data"
    else
        curl -s -X "$method" \
            -u "$AGORA_CUSTOMER_ID:$AGORA_CUSTOMER_SECRET" \
            "https://api.agora.io${endpoint}"
    fi
}

Output Rules

  • Target ≤50 lines per script output
  • Use jq to extract only needed fields
  • Never dump full API responses

Phase 1: Discovery

#!/bin/bash
echo "=== Project Info ==="
agora_api GET "/dev/v1/projects" \
    | jq -r '.projects[] | "\(.id)\t\(.name)\t\(.status)\t\(.created_at)"' \
    | column -t | head -15

echo ""
echo "=== Active Channels ==="
agora_api GET "/dev/v1/channel/$AGORA_APP_ID" \
    | jq -r '.data.channels[] | "\(.channel_name)\t\(.user_count) users"' \
    | head -20

echo ""
echo "=== Usage Overview (current month) ==="
agora_api GET "/dev/v3/usage?from_date=$(date -d 'first day of this month' +%Y-%m-%d)&to_date=$(date +%Y-%m-%d)&project_id=$AGORA_APP_ID" \
    | jq '{total_minutes: .total_audio_minutes, video_minutes: .total_video_minutes}'

Phase 2: Analysis

Channel & Quality Metrics

#!/bin/bash
echo "=== Channel User Details ==="
CHANNELS=$(agora_api GET "/dev/v1/channel/$AGORA_APP_ID" | jq -r '.data.channels[].channel_name' | head -5)
for ch in $CHANNELS; do
    echo "--- Channel: $ch ---"
    agora_api GET "/dev/v1/channel/user/$AGORA_APP_ID/$ch" \
        | jq -r '.data.users[] | "\(.uid)\t\(.join_ts)"' | head -5
done

echo ""
echo "=== Call Quality (recent sessions) ==="
agora_api GET "/beta/analytics/call/lists?start_ts=$(date -d '1 hour ago' +%s)&end_ts=$(date +%s)&page_size=10&app_id=$AGORA_APP_ID" \
    | jq -r '.call_lists[] | "\(.call_id[0:12])\t\(.channel_name)\t\(.user_count) users\t\(.duration)s"' \
    | head -15

Usage Analytics

#!/bin/bash
echo "=== Daily Usage (last 7 days) ==="
agora_api GET "/dev/v3/usage?from_date=$(date -d '7 days ago' +%Y-%m-%d)&to_date=$(date +%Y-%m-%d)&project_id=$AGORA_APP_ID" \
    | jq -r '.usage_list[] | "\(.date)\taudio:\(.audio_minutes)m\tvideo:\(.video_minutes)m"' \
    | column -t

echo ""
echo "=== Peak Concurrent Users ==="
agora_api GET "/beta/analytics/call/lists?start_ts=$(date -d '24 hours ago' +%s)&end_ts=$(date +%s)&page_size=50&app_id=$AGORA_APP_ID" \
    | jq '[.call_lists[].user_count] | {max: max, avg: (add / length | floor), total_sessions: length}'

Output Format

=== Project: <name> (App ID: <id>) ===
Active Channels: <n>  Total Users Online: <n>

--- Usage (current month) ---
Audio: <n> minutes  Video: <n> minutes

--- Quality Metrics ---
Sessions (24h): <n>  Avg Duration: <n>s
Peak Concurrent: <n> users

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/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 errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  • App ID vs Customer ID: Channel APIs use App ID, management APIs use Customer credentials
  • Timestamps: Use Unix epoch seconds for analytics endpoints, ISO dates for usage
  • Rate limits: 10 requests/second for most analytics endpoints
  • Regional endpoints: Some features use regional base URLs (e.g., api.sd-rtn.com)

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