customer-onboarding-call

Tinjau · 60
Diindeks di Registry

Place a one-off welcome and onboarding call to a customer who just signed up, capture a structured result such as business type, goal, pain points, sentiment, and activation status, then write that result back to a CRM and queue a human follow-up task when the customer asks for o

Verified installs0
Star63
Versi1.0.0
Kualitas65/100 · Menjanjikan
Kepercayaan60/100 · Hanya sandbox
Audit75/100 · Perlu ditinjau

Profil aset

Otomasi pemasaran dan pertumbuhan

SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.

Lihat kategori

Skenario

Sales and CRM

I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.

Kecocokan Agent

Claude Code + CLI + Codex

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call

Pemeliharaan

Terkini

1 hari sejak push

Risiko

Perlu ditinjau

Permission surface may require sandboxing

Kualitas GitHub

63

65/100 Kualitas · 68/100 Kepercayaan

Tag cakupan

PemasaranSales and CRMbusinessagent-skill

Catatan ulasan

Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Menjanjikan
65

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
60

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
75

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

63 star GitHub

Aktivitas repositori

63 star dan 127 fork

Pemeliharaan

1 hari sejak push

Lisensi

MIT

Pasang

npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

shell or command execution, network or browser access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • The skill does not explicitly address how to handle failures when writing to the CRM or when the provider does not return structured results as expected.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, network or browser access

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • alur kerja Customer support
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Read user messages

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
60/100
Audit
75/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • The skill does not explicitly address how to handle failures when writing to the CRM or when the provider does not return structured results as expected.
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Permission surface may require sandboxing

Keamanan Agent v2

47/100 · Hindari pemasangan otomatis

EksperimentalTinjau

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Selesaikan via API

Tinggi

Eksekusi shell atau perintah

Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses database

Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.

  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Permission surface may require sandboxing

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install calle-ai-customer-onboarding-call

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Salin prompt

Task: Use customer-onboarding-call in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20customer-onboarding-call%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/calle-ai-customer-onboarding-call/install
Install command: npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

Use customer-onboarding-call for this task. Review https://www.openagentskill.com/api/skills/calle-ai-customer-onboarding-call/install, then install with: npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

66/100

Customer support

Platform

Claude Code

Laporan audit

Perlu ditinjau · 75/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Customer support

Prototype with this skill first; keep a fallback candidate ready.

66
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Customer support

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja Customer support
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 65/100
  • 5 event interaksi OpenAgentSkill

tinjau dulu

  • The skill does not explicitly address how to handle failures when writing to the CRM or when the provider does not return structured results as expected.

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Customer support dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

60
Trust Score OpenAgentSkill

Adopsi GitHub

Periksa

63 star GitHub

Aktivitas star/fork

Periksa

63 star dan 127 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

1 hari sejak push

Kejelasan lisensi

Lulus

MIT

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • The skill does not explicitly address how to handle failures when writing to the CRM or when the provider does not return structured results as expected.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, network or browser access
  • GitHub adoption: 63 GitHub stars
  • Stars/forks activity: 63 stars, 127 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, network or browser access
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

65
Star GitHub
63
Keterkinian
1 hari lalu
Siap dipasang
Ya
Lisensi
MIT
Tinjau sebelum memasang: The skill does not explicitly address how to handle failures when writing to the CRM or when the provider does not return structured results as expected.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

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Ringkasan

--- name: customer-onboarding-call description: Place a one-off welcome and onboarding call to a customer who just signed up, capture a structured result such as business type, goal, pain points, sentiment, and activation status, then write that result back to a CRM and queue a human follow-up task when the customer asks for one. license: MIT ---

# Customer Onboarding Call

Use this skill when a new signup should receive a short welcome call and the business wants the conversation to end as structured data rather than as an unread recording.

`customer-onboarding-call` turns one signup event into at most one **conversation**, one structured result, and at most one follow-up task. Obtaining that conversation may take up to three attempts on an unreliable corridor, with only one attempt in flight at a time; see *Attempts, Retries, and Cancellation*. It does not create recurring schedules, call campaigns, or contact lists. Recurrence, if the business wants it, belongs to the host scheduler; see [`call-reminder`](../call-reminder/).

The workflow is deliberately narrow: welcome, consent, discovery, next-step offer, wrap-up. A call that tries to sell, negotiate, collect payment, or resolve a support ticket is out of scope.

## When To Use

Use this skill for:

- welcoming a customer who just signed up and confirming they can get started - collecting first-party onboarding context: business type, goal, prior tooling, blockers - detecting whether a customer wants a human to follow up - turning a spoken answer into a CRM field and an assigned task - measuring activation coverage when a team cannot call every signup manually

## When Not To Use

Do not use this skill to:

- call people who did not sign up or otherwise ask to be contacted - run sales, collections, renewal, or win-back calls - deliver medical, legal, financial, or emergency instructions - read pricing, delivery windows, contractual terms, or policy from memory - retry indefinitely after a customer declines or asks not to be called - re-call a customer who has already completed an onboarding call, unless the user explicitly asks

## Required Fields

For each call, require:

- `customerName` - `phoneNumber` in E.164 - `companyName` for the agent to introduce itself as - `companyDescription`, one sentence the agent may state as fact

Optional:

- `businessName` - `locale` and `region` hints for the conversation

Ask for any missing required field. Do not infer a phone number, country code, or region from a locale, an IP address, an email domain, or unrelated prior context.

## Core Workflow

1. Confirm the signup is real and recent, and that this customer has not already been called. 2. Build the call task from the required fields. Keep the script to roughly two minutes. 3. Attach a structured result schema so the provider returns fields, not just a transcript. See [`references/structured-result.md`](references/structured-result.md). 4. Persist an attempt record under a uniqueness constraint on `(signup_id, attempt_no)` **before** dialing, and derive the provider idempotency key from it. Refuse to start a new attempt while another is in flight for the same signup. 5. Place the call for that attempt. 6. Receive the terminal result on a webhook. Treat delivery as at-least-once and key ingestion on the provider event id. 7. Classify the outcome before writing anything: Stage A decides whether a human took part, and only then does Stage B read consent. See *Outcome Classification* below. 8. Write only what the outcome permits, then queue a follow-up task only when the outcome is `onboarded` and the customer asked for one. 9. Schedule or cancel a retry according to *Attempts, Retries, and Cancellation*.

Use this shape:

```text signup -> attempt record -> call task + result schema -> attempt -> terminal webhook -> classify -> permitted CRM write -> follow-up or retry or suppress ```

## Conversation Shape

Keep the call in this order. Allow interruption at any point.

1. **Greet and identify.** Name the customer, name the company, state that the call may be recorded if that is true in your jurisdiction. 2. **Ask consent.** Ask whether now is a good time for a short call. If the answer is no, offer to call back later and end. Do not continue discovery after a soft refusal. 3. **Discovery.** Ask what kind of business they run, why they signed up, what problem they want solved, and whether they have used something similar before. One question at a time. 4. **Offer the next step.** Invite the concrete first action, and offer a human if they prefer. 5. **Wrap up.** Summarize what will happen next, thank them, end.

The agent may answer only from `companyDescription` and any knowledge base you explicitly supply. For anything else — price, delivery time, policy, availability — it must say it will have a human follow up. Inventing these is the most common failure mode of onboarding-call agents.

## State Machine

The full contract in one view. Every arrow that ends in a call is guarded; every terminal state says what it permits.

```text signup | v [ allocate attempt no > cap? ]---- yes -->( manual handling ) | ^ no | v | [ attempt live (leased) ] | | | +-------------------+--------------------+ | | | | | terminal result lease expires create failed | | | | | | v | | | [ reconcile with provider ] | | | | | | | | | terminal still live unknown | | | | | | | | +<------------+ v | | | | ( ambiguous )-+-------+ | | | (late result re-enters) | v | | == STAGE A: was a human reached? == | reachability from CALL EVIDENCE, not from "is there a result" | | | +-- refusal evidence present? --> ( declined ) | | | no-human — CLOSED evidence set only: voicemail / carrier msg / ring-out / no-answer / silence / provider machine signal | +--> ( not-reached ) ------------------ retry allowed ---+ | | +--> ( failed ) provider positively says NO CALL PLACED --+ | +--> ( needs-review ) indeterminate: provider unreachable, | unknown attempt, expired lease, extractor-only NotReached, | billing charge with no obtainable outcome. NO RETRY. | human v == STAGE B: consent governs == | +--> ( declined ) terminal. suppress per scope. no follow-up, no retry, ever. +--> ( needs-review ) no result at all, unusable consent fields, or indeterminate | reachability. terminal until a human decides. NO auto retry. +--> ( partial ) write captured fields only. retry ONLY with callback consent | or human authorisation, and only under the cap. +--> ( onboarded ) write insight. follow-up only if requested. ```

Invariants the diagram encodes:

- **A redial requires positive no-human evidence from a closed set.** A missing result, an extractor-claimed `NotReached`, an unreachable provider, an expired lease, and a billing charge are all *unknown* — they route to `needs-review`, never to a retry. - **Releasing a stuck attempt and authorising a redial are separate decisions.** Unblocking the slot is bookkeeping; dialling again needs evidence. - **Refusal evidence dominates.** It routes to `declined` from anywhere, with or without a result. - **Only Stage B can suppress a number**, and only via `declined`. - **Only Stage A outcomes retry automatically.** Every Stage B redial needs consent or a human, and anything uncertain lands in `needs-review`, which never retries. - **No state is permanent-by-accident.** A live attempt is leased, and `ambiguous` is provisional — a late result re-enters classification from the top. - **The cap bounds every path**, including callback-consented redials.

## Outcome Classification

A call that reaches a terminal state has not necessarily reached a consenting human. Providers commonly return a completed call with an empty structured result when the agent talked to a carrier message, voicemail, or silence. A call can also produce a perfectly well-formed structured result while the customer was refusing to take part.

**The presence of a structured result is not evidence of consent.** Classification is therefore driven by an evidence-backed `disposition` field, not by whether a result exists. See [`references/structured-result.md`](references/structured-result.md).

Classify in **two stages, in this order**. Stage A decides whether a human took part at all. Only if one did does Stage B read consent.

The staging is the contract, not a presentation choice. Consent fields are meaningless when nobody answered — a voicemail grants no consent, so `consent_granted` is `false` there. Reading consent before establishing that a human was reached turns every no-answer into a refusal.

### Stage A — was a human reached?

**Reachability is decided on call evidence, never on whether a structured result exists.** A real conversation can return no result at all: extraction failed, the result failed validation, or the customer refused and rang off before the model emitted anything. Inferring "nobody answered" from a missing result would auto-retry those calls and redial a person who may have just refused.

#### The no-human evidence set

Exactly one thing authorises an automatic redial: **observed evidence from the call itself that no person took part.** This is a closed list.

| Counts as no-human evidence | | | --- | --- | | voicemail or answering-machine greeting | carrier or network announcement | | ring-out with no answer | the provider's own answered-by-machine / no-answer signal | | silence throughout after the agent spoke | |

**Nothing else qualifies.** In particular these are *not* no-human evidence, however tempting:

- a missing or empty structured result - the extractor's own `disposition: NotReached` — that is a model claim about the call, not an observation of it, and the same extractor mislabels refusals - a provider that is unreachable, times out, or has no record of the attempt - an expired lease - a billing charge or usage record — that shows a call *was placed*, which if anything makes a conversation more likely, not less

Every one of those means **we do not know**. Unknown is `needs-review`, never a retry. The asymmetry is deliberate: a needless manual check costs a minute, and a wrong redial reaches someone who may have already refused.

#### Establishing reachability

| Reachability | Evidence | | --- | --- | | `human` | the provider reports a human answered, **or** the transcript contains customer speech that is not carrier or IVR audio | | `no-human` | at least one item from the no-human evidence set above, and no contradicting customer speech | | `indeterminate` | anything else, including every "not evidence" item listed above |

#### Then

Detail teknis

Versi
1.0.0
Lisensi
MIT
Pembaruan terakhir
21 Agu 2026
Diterbitkan
21 Agu 2026

Ringkasan keputusan

Kandidat cadangan

66
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

75
Perlu ditinjau
Keamanan
75/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk customer-onboarding-call, siap untuk posting manual di X.

Catatan kurator
customer-onboarding-call: Place a one-off welcome and onboarding call to a customer who just signed up, capture a struc...

63 stars

https://www.openagentskill.com/skills/calle-ai-customer-onboarding-call?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for customer-onboarding-call:
https://www.openagentskill.com/skills/calle-ai-customer-onboarding-call?ref=x

Install: npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
CALLE-AI
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan CALLE-AI, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

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Penulis

C

CALLE-AI

@calle-ai

Kecocokan platform

Sinyal kesehatan

Star GitHub
63
Skor kualitas
36/100
Push GitHub terakhir
21 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
5
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

60
  • Adopsi GitHub63 star GitHubPeriksa
  • Aktivitas star/fork63 star dan 127 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaru1 hari sejak pushLulus
  • Kejelasan lisensiMITLulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimecommand execution surface, network or browser surfaceInfo

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