calle-ai/awesome-phone-call-agents/bridgecalle-active-listener

BridgeCalle Active Listener

Use this skill when an elderly person, family member, or caregiver (with explicit recipient consent) wants an empathetic, active-listening phone check-in call to reduce loneliness and foster emotional connection between visits.

BridgeCalle flips the traditional voice-agent paradigm: instead of an AI that talks at the user, it configures CALL-E task instructions for prompt-guided active listening, encouraging the AI agent to speak sparingly with gentle verbal nods ("Mmhmm", "I hear you", "How lovely"). Note: Active-listening speaking ratios and turn behavior are prompt-guided system instruction directives rather than hard platform enforcement, subject to provider model adherence.

When to use

• Outbound phone check-ins for elderly loved ones or seniors living alone.
• Capturing nostalgic memories, daily reflections, and emotional state in a structured post-call summary.
• Exporting warm call summaries to family members via SMS or WhatsApp.

When not to use

• Emergency medical response, crisis intervention, or suicide prevention hotline replacement.
• Unsolicited cold outreach, marketing, or telemarketing.
• Clinical diagnosis or medical advice.

Workflow

1. Read references/safety.md and confirm explicit recipient consent and authorized E.164 phone number.
2. Require explicit live execution flags (--execute and --confirm-recipient-opt-in); default to dry-run preview mode when credentials or execution confirmation are omitted.
3. Pass valid E.164 phone number, explicit CALL-E region (e.g., IN or US), and locale (e.g., en-IN or en-US).
4. Execute the call task prompt:

``text Call <E164_PHONE> in English. Ask gently if they drank water and ate food today. Then listen quietly with short nods like 'Mmhmm' and 'How lovely'. ``

1. Capture structured call summary, start time, duration, and key memory points.
2. Display masked phone numbers in user-facing summaries.

Persona and Rules

• Initial Greeting: Short 1-sentence gentle inquiry (e.g. water and meal check-in).
• Prompt-Guided Active Listening: System instructions instruct the AI agent to listen quietly, offering 1-2 word verbal nods ("Mmhmm", "I hear you", "How lovely").
• Patient Silence & Model Adherence: Configures a patient silence threshold before speaking. Turn length and silence behavior depend on LLM adherence to prompt instructions.

Output

After a call attempt, expect structured output fields:

• call_number — sequential call attempt index
• start_time — call initiation timestamp
• duration — call duration (e.g., 2 mins 10 secs or 0s if unplaced)
• status — COMPLETED | NOT CONNECTED | DISPATCHED
• points — array of key summary points (XSS-escaped and masked)