customer-onboarding-call

Revisar · 60
Indexado en 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
Estrellas63
Versión1.0.0
Calidad65/100 · Prometedor
Confianza60/100 · Solo sandbox
Auditoría75/100 · Requiere revisión

Perfil del activo

Automatización de marketing y crecimiento

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

Ver categoría

Escenario

Sales and CRM

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

Afinidad con Agent

Claude Code + CLI + Codex

Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.

Instalar

Listo

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

Mantenimiento

Actual

2 días desde el último push

Riesgo

Requiere revisión

Permission surface may require sandboxing

Calidad de GitHub

63

65/100 Calidad · 68/100 Confianza

Etiquetas de cobertura

MarketingSales and CRMbusinessagent-skill

Notas de revisión

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

Tarjeta de adopción del Agent

Confianza, auditoría y preparación de instalación de un vistazo

Estas puntuaciones combinan metadatos públicos del repositorio, señales de revisión de OpenAgentSkill, actualidad de mantenimiento y preparación de instalación. Sirven para preseleccionar; no sustituyen la revisión humana.

Calidad

Prometedor
65

Useful candidate, but compare it with alternatives before adopting.

Confianza

Solo sandbox
60

Candidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.

Auditoría

Requiere revisión
75

Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.

Trust Score de OpenAgentSkill v5

Revisión humana antes de instalar

Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.

CodexClaude CodeCursorOpenAgentSkill CLI

Estrellas

63 estrellas de GitHub

Actividad del repositorio

63 estrellas y 127 forks

Mantenimiento

2 días desde el último push

Licencia

MIT

Instalar

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

Seguridad de instalación

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

shell or command execution, network or browser access

Resultados del Agent

Aún no hay datos de resultados del Agent

Documentación

Contexto sólido de README/SKILL.md

Resumen de riesgo

Revisar antes de producción

  • 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

Preparación de instalación

Ruta de instalación disponible

  • La ruta de instalación está disponible
  • La evidencia del repositorio está disponible
  • La licencia está declarada
  • Aún no hay evidencia de resultados Agent-Proven

Metadatos legibles por Agent

Datos de decisión legibles por máquina para este skill.

Usa este bloque o el JSON integrado para decidir si un Agent debe instalar este skill, elegir una alternativa o pedir revisión humana primero.

Abrir JSON

Tareas adecuadas

  • flujos de Customer support
  • Equipos de Claude Code
  • builders willing to evaluate younger projects
  • Read user messages

Agents adecuados

CodexClaude CodeCursorOpenAgentSkill CLICLI

Decisión de instalación

Comando
npx skills add CALLE-AI/awesome-phone-call-agents --skill customer-onboarding-call
Política
Revisar
Revisión humana

Confianza y riesgo

Confianza
60/100
Auditoría
75/100
Nivel de riesgo
Requiere revisión

Ciclo de resultados

Endpoint
/api/agent/outcome
ID del evento
resolve
Resultados
5

Comando de instalación

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

No usar cuando

  • Equipos que necesitan un SLA con soporte del proveedor
  • 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.
  • Indicios de permisos de alto riesgo: ejecución de shell o comandos
  • Permission surface may require sandboxing

Seguridad de Agent v2

47/100 · Evitar instalación automática

ExperimentalRevisar

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

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

Resolver con API

Alto

Ejecución de shell o comandos

Los metadatos del skill hacen referencia a terminal, CLI, shell, subprocesos o flujos de ejecución de comandos.

Medio

Acceso a red

El skill probablemente consulta páginas remotas, API, repositorios o servicios externos.

Medio

Acceso a base de datos

El skill puede inspeccionar esquemas, consultar bases de datos o trabajar con almacenes persistentes.

  • Indicios de permisos de alto riesgo: ejecución de shell o comandos
  • Permission surface may require sandboxing

Destinos de instalación

Instala este skill en tu flujo de Agent

Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.

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

Plan de resolución de Agent

Deja que un Agent valide el ajuste antes de instalar.

La API Resolve devuelve la skill elegida, alternativas, política de seguridad, notas de auditoría, destino de instalación y un prompt listo para usar.

Abrir plan de texto

Agent debe revisar

  • 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.

Copiar 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.

Traspaso de Agent

Da al Agent la ruta de instalación, no otro directorio.

Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.

Abrir API de instalación

Prompt de 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

Metadatos del Registry

Perfil legible por Agent para seleccionar skills automáticamente.

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir Manifest

Afinidad con Agent

66/100

Customer support

Plataformas

Claude Code

Informe de auditoría

Requiere revisión · 75/100

Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.

Ver informe de auditoríaVer informe de evaluación

Panel de decisión de Agent

Fallback candidate for Customer support

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

66
Preparación
Prototipo
Etapa

Rol en la pila

Candidata de respaldo

Ajuste principal

Customer support

Etiqueta de confianza

Prototipar primero

Ruta de instalación

Comando listo

Úsalo cuando

  • flujos de Customer support
  • Equipos de Claude Code
  • builders willing to evaluate younger projects

Evidencia

  • recent repository activity
  • install command or GitHub repo available
  • perfil de calidad 65/100
  • 5 eventos de interacción de OpenAgentSkill

revisar primero

  • 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.

Ruta de implementación

  1. 1Instálalo en un Agent de sandbox y ejecuta una tarea de Customer support de principio a fin.
  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.

Perfil de confianza

Solo sandbox

Candidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.

60
Trust Score de OpenAgentSkill

Adopción en GitHub

Revisar

63 estrellas de GitHub

Actividad de stars/forks

Revisar

63 estrellas y 127 forks; la actividad de issues no está disponible en los metadatos actuales

Mantenimiento reciente

Aprobado

2 días desde el último push

Claridad de licencia

Aprobado

MIT

Señales positivas

  • Revisión de IA aprobada
  • La ruta de instalación está disponible
  • La evidencia del repositorio está disponible
  • Repositorio mantenido recientemente
  • El comando de instalación no muestra un patrón de alto riesgo evidente
  • El ciclo de resultados está listo, pero necesita la primera ejecución real de Agent

Revisar antes de instalar

  • 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
  • Aún no hay informes reales de resultados del Agent
  • Se requiere revisión humana antes de una instalación desatendida

Acción recomendada

Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.

Perfil de calidad

Prometedor candidato para flujos de Agent

Useful candidate, but compare it with alternatives before adopting.

65
Estrellas de GitHub
63
Actualidad
hace 2 días
Listo para instalar
Licencia
MIT
Revisar antes de instalar: 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.

Ajuste de flujo

Usa esta skill en estos escenarios

Ajuste de flujo

Añadir a un flujo completo

Lista de alternativas

Compara antes de instalar

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Estrellas2

Resumen

--- 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

Detalles técnicos

Versión
1.0.0
Licencia
MIT
Última actualización
21 ago 2026
Publicado
21 ago 2026

Resumen de decisión

Candidata de respaldo

66
Listo
Prototipo
Etapa

recent repository activity

Auditoría

Revisión de instalación

Revisión de instalación y adopción

75
Requiere revisión
Seguridad
75/100
Mantenimiento
100/100
Instalar
92/100
Abrir auditoría completaVer informe de evaluación

Evidencia probada por Agent

Evidencia probada por Agent

Informes de resultados tras resolver, revisar, instalar y una ejecución limitada.

0
Probado
Needs first agent runAuto-instalación: revisar primeroÚltimo: Desconocido
Tasa de éxito
Fallo reciente
Resultados
0
Calidad de salida
Fallidos
0
No relevante
0
Instalaciones
0
Bloqueado por riesgo
0
Configuración necesaria
0
Producción
0

Aún no hay datos de resultados de Agent. La primera ejecución puede informar éxito, configuración necesaria, bloqueos de riesgo, fallo o irrelevancia mediante /api/agent/outcome.

Instalar

Añadir al flujo de Agent

Gratis y de código abierto. Revisa el informe antes de instalar en Agents de producción.

Bucle de crecimiento

Kit para compartir

X

Borrador basado en un caso para customer-onboarding-call, listo para publicar manualmente en X.

Nota del curador
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
Abrir borrador de X
Respuesta opcional con comando de instalación
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

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CALLE-AI
Indexado por
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Añade las insignias de evidencia a tu README

Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.

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Autor

C

CALLE-AI

@calle-ai

Etiquetas

Afinidad con plataforma

Señales de salud

Estrellas de GitHub
63
Puntuación de calidad
36/100
Último push de GitHub
21 ago 2026
Pistas del framework
Desconocido
Vistas de OpenAgentSkill
5
Copias de instalación
0
Clics externos
0

Señal de comunidad

Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.

Confianza y seguridad

Solo sandbox

60
  • Adopción en GitHub63 estrellas de GitHubRevisar
  • Actividad de stars/forks63 estrellas y 127 forks; la actividad de issues no está disponible en los metadatos actualesRevisar
  • Mantenimiento reciente2 días desde el último pushAprobado
  • Claridad de licenciaMITAprobado
  • Completitud de README/SKILL.mdLos metadatos incluyen suficiente contexto de uso y flujo de trabajoAprobado
  • Riesgo de dependencias/runtimecommand execution surface, network or browser surfaceInfo

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