Agent Native

create-structured-output

This skill enables agents to design and manage Vapi Structured Outputs for extracting typed data from AI voice calls.

by VapiOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (VapiAI)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
MIT (permissive)
Pin
ecd56bdpinned Oct 9, 2026
Context cost
about 2,400 tokenswhen the skill loads
GitHub stars
66on vapiai/skills
Scripts
None found

What it does

“Design, create, inspect, update, attach, detach, preview, execute, and verify reusable Vapi Structured Outputs through public API or Server SDK workflows. Use for post-call extraction, typed call artifacts, AI-versus-regex extraction, JSON Schema design, backfilling existing calls, or retrieving structured results programmatically.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill enables agents to design and manage Vapi Structured Outputs for extracting typed data from AI voice calls. It covers the full lifecycle from schema design through execution, preview, attachment to assistants, and result retrieval via Vapi's public API or Server SDK.

When to use it

  • Extract standardized fields from call transcripts for downstream systems
  • Test extraction logic on sample calls before running at scale
  • Attach extraction templates to multiple assistants or backfill past calls
  • Validate extraction results match business contracts before storage

When not to

  • Storing raw transcripts or unstructured call data without extraction requirements
  • Simple literal pattern matching that does not require AI interpretation

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add vapiai/skills --skill create-structured-output

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install vapiai/skills create-structured-output@ecd56bd32688be8ea6fe54029445b536333d8d9c

Installs the commit we checked (ecd56bd).

Copy by hand

Download the folder at ecd56bd and put it in .claude/skills/create-structured-output for Claude Code and in .agents/skills/create-structured-output for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at ecd56bd

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "create-structured-output" by Vapi.

Source, pinned to commit ecd56bd32688be8ea6fe54029445b536333d8d9c:
https://github.com/vapiai/skills/tree/ecd56bd32688be8ea6fe54029445b536333d8d9c/plugins/vapi-voice-ai/skills/create-structured-output

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/create-structured-output/ for Claude Code and .agents/skills/create-structured-output/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/vapi/create-structured-output-skills

SKILL.md at the pin

---
name: create-structured-output
description: Design, create, inspect, update, attach, detach, preview, execute, and verify reusable Vapi Structured Outputs through public API or Server SDK workflows. Use for post-call extraction, typed call artifacts, AI-versus-regex extraction, JSON Schema design, backfilling existing calls, or retrieving structured results programmatically.
license: MIT
---

# Vapi Structured Output Creation

Build the smallest reusable post-call extraction that represents the user's actual downstream contract. Keep definition creation, assistant attachment, execution, and result retrieval separate: success at one stage does not prove the next stage occurred.

## Source and Safety Rules

- Use the configured Vapi documentation MCP when available. Otherwise use current public Vapi API documentation and [API Examples](references/api-examples.md). Revalidate request fields and SDK methods before final implementation.
- Use a private Vapi API key only on a trusted server. Read it from `VAPI_API_KEY`; never print, request in chat, or embed it in source, client-side code, or examples.
- Never invent resource IDs, call IDs, extraction fields, enum values, data-retention requirements, or customer data.
- Do not enable `compliancePlan.forceStoreOnHipaaEnabled` unless the user explicitly requests it and confirms that the output cannot contain PHI or other sensitive data.
- Treat call transcripts, messages, tool results, and extracted values as sensitive customer data. Minimize what is logged or reproduced.

## Procedure

1. Choose the output mode.
   - For a schema, payload, review, or implementation example, return an artifact without calling Vapi. State that nothing was saved, attached, or executed.
   - For a reusable saved definition, use `POST /structured-output` only when the user asks to create or save it and credentials are available.
   - For a one-call experiment that does not need a saved definition, pass a transient `structuredOutput` to `POST /structured-output/run` with `previewEnabled: true`.
   - Treat attachment, detachment, and execution against existing calls as separate requested actions. Do not infer them from creation alone.

2. Define the extraction contract.
   - Identify the downstream consumer, required fields, optional fields, allowed categories, formats, and behavior when evidence is absent or ambiguous.
   - Ask only for missing facts that materially change the schema. State safe assumptions for the rest.
   - Split unrelated outputs when they have different consumers, retention policies, or iteration cycles. Keep one output when the fields form one stable business record.

3. Choose AI or regex.
   - Use `type: "ai"` for meaning, classification, summarization, sentiment, outcome detection, normalization, or facts expressed in varied language.
   - Use `type: "regex"` only for deterministic transcript matching with a stable pattern. Use RE2-compatible syntax and choose a top-level schema type that matches the documented regex result: boolean, string, number/integer, or array.
   - Do not use regex to infer meaning. Do not use AI when a literal, stable pattern is the entire requirement.

4. Design the smallest useful JSON Schema.
   - Include only fields the caller can provide or the call evidence can support.
   - Add concise descriptions that distinguish semantically similar fields.
   - Use `enum` for a closed category set, `format` or `pattern` for externally validated strings, and numeric bounds when the business contract defines them.
   - Mark a field required only when every valid call should produce it. Make conditionally available values optional instead of forcing guesses.
   - Prefer a primitive schema for a single value and an object only for a cohesive record. Avoid deep nesting unless the downstream contract needs it.
   - Validate the schema with a standard JSON Schema validator before sending it.

5. Create, inspect, or update the definition.
   - Keep saved names between 1 and 40 characters.
   - On create, send `name` and `schema`; add `type`, `description`, `regex`, `model`, or `compliancePlan` only when intentional.
   - On inspect, resolve the exact resource with list filters or a verified ID, then use `GET /structured-output/{id}`. Do not guess from a partial name.
   - On update, read the current definition first and send only fields that should change. Use `schemaOverride=true` only when intentionally changing the schema's top-level type; otherwise do not use it to bypass schema safety.
   - Re-fetch after mutation and compare the requested fields. A successful HTTP status without the expected returned state is not verified success.

6. Attach or detach safely.
   - Prefer the saved Structured Output's documented `assistantIds` relationship for attachment. Read its current `assistantIds`, add or remove exactly the resolved assistant ID, and preserve every unrelated ID.
   - Patch only `assistantIds` on the Structured Output for this operation. Re-fetch the Structured Output and assistant; verify the relationship and the assistant's `artifactPlan.structuredOutputIds` when returned.
   - If the implementation instead patches the assistant, first read the assistant and send the complete existing `artifactPlan` with only `structuredOutputIds` changed. Preserve recording, logging, transcript, scorecard, storage, and other artifact settings.
   - Do not claim that creating a definition attached it. Do not claim that detaching deleted it or removed results already stored on past calls.

7. Preview before broad execution.
   - Use `POST /structured-output/run` with one real call ID and `previewEnabled: true`. Supply either `structuredOutputId` or a transient `structuredOutput`, not both.
   - Confirm the selected call contains representative evidence and that the returned value satisfies the schema and business meaning.
   - State that preview does not update the call artifact.
   - If extraction is wrong, simplify the schema or improve descriptions before changing models or custom extraction prompts.

8. Execute or backfill only when requested.
   - Use `previewEnabled: false` or omit it to update call artifacts. Pass no more than the currently documented maximum of 100 call IDs per request.
   - Before a multi-call run, state the exact output, call count, and that existing values for this output may be replaced while other structured-output values remain.
   - Use only call IDs supplied by the user or returned by a verified public API query. Report partial failures by call ID; do not imply an all-or-nothing transaction.

9. Retrieve and verify results.
   - After a normal attached call finishes, allow for post-call processing before checking the call.
   - Retrieve each call with `GET /call/{id}` and read `call.artifact.structuredOutputs[structuredOutputId].result`.
   - Validate the result against the intended schema and inspect representative source evidence before calling it accurate. Schema validity proves shape, not factual correctness.
   - Report separately: definition saved, assistant linked, preview returned, call artifact updated, and result validated. Mention only stages actually verified.

## Error Handling

- On `400`, inspect the response for schema, regex, model, relationship, or run constraints. Correct one unambiguous documented issue and retry once; never repeat an unchanged request.
- On `401` or `403`, stop and report authentication or permission failure.
- On `404`, report the missing Structured Output, assistant, or call and identify the exact unresolved ID.
- On `409`, re-read current state before deciding whether the intended relationship or update already exists.
- On `429` or `5xx`, preserve the request context, report the service condition, and do not claim success.
- If a result is absent, distinguish processing delay, missing attachment, disabled artifact storage, insufficient call evidence, and extraction failure before recommending a change.

## API Implementation Examples

Read [API Examples](references/api-examples.md) when implementation code is needed. Use the official TypeScript or Python Server SDK only after confirming the generated method in its current official reference; use direct REST when SDK syntax is unavailable or unstable.

## Output Contract

Return only the sections relevant to the request:

- Mode: artifact-only, saved definition, relationship change, preview, or artifact-writing run
- Assumptions or blocking questions
- Final schema and Structured Output configuration
- Created or updated resource ID and verified fields, when mutated
- Attachment state and preserved relationships, when changed
- Preview or execution result, affected call IDs, and whether artifacts changed
- Retrieved result plus schema and evidence limitations
- Remaining configuration or validation work

## Public Sources

- [Structured Outputs quickstart](https://docs.vapi.ai/assistants/structured-outputs-quickstart/)
- [Create Structured Output API](https://docs.vapi.ai/api-reference/structured-outputs/structured-output-controller-create)
- [List Structured Outputs API](https://docs.vapi.ai/api-reference/structured-outputs/structured-output-controller-find-all)
- [Get Structured Output API](https://docs.vapi.ai/api-reference/structured-outputs/structured-output-controller-find-one)
- [Update Structured Output API](https://docs.vapi.ai/api-reference/structured-outputs/structured-output-controller-update)
- [Run Structured Output API](https://docs.vapi.ai/api-reference/structured-outputs/structured-output-controller-run)
- [Get Call API](https://docs.vapi.ai/api-reference/calls/get/)
- [Official TypeScript Server SDK reference](https://github.com/VapiAI/server-sdk-typescript/blob/main/reference.md)
- [Official Python Server SDK reference](https://github.com/VapiAI/server-sdk-python/blob/main/reference.md)

From vapiai/skills at ecd56bd, shown as plain text under its license: MIT (permissive). The license text is in plugins/vapi-voice-ai/skills/create-structured-output/SKILL.md.

View SKILL.md on GitHub at ecd56bd

Files

3 files, 19 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at ecd56bd
All 24 skills from Vapi

More from Vapi

  • create-assistant

    Designs and creates Vapi voice assistants for phone and web by managing system prompts, provider selection, tool integration, and API validation.

    Claude Code, Codex, Cursor +4 · about 2.3K tokens · pinned 6 days ago

  • create-assistant

    This skill designs and creates Vapi voice assistants for phone and web calls.

    Claude Code, Codex, Cursor +4 · about 2.3K tokens · pinned 6 days ago

  • create-call

    This skill creates one-off outbound phone calls, web calls, and batch calls via the Vapi API.

    Claude Code, Codex, Cursor +4 · about 1.5K tokens · pinned 6 days ago

  • create-call

    This skill enables agents to create outbound phone calls, web calls, and batch calls via the Vapi API.

    Claude Code, Codex, Cursor +4 · about 1.5K tokens · pinned 6 days ago

  • create-campaign

    This skill enables agents to create, manage, and diagnose Vapi outbound campaigns for reaching multiple contacts with personalized calls using the…

    Claude Code, Codex, Cursor +4 · about 3.1K tokens · pinned 6 days ago

  • create-campaign

    This skill creates, manages, and monitors Vapi outbound calling campaigns for multi-contact operations.

    Claude Code, Codex, Cursor +4 · about 3.1K tokens · pinned 6 days ago

All AI and agents skills
  • agent-builder

    Agent Builder orchestrates the creation, modification, testing, and publishing of n8n Agents.

    by n8nOfficial publisher

    Claude Code, Codex, Cursor +3 · about 2.3K tokens · pinned 6 days ago

  • intent-recognition

    Classifies automation requests by determining which primitive owns the top-level control flow (workflow, agent, needs clarification, or out-of-scope) and…

    by n8nOfficial publisher

    Claude Code, Codex, Cursor +4 · about 6.9K tokens · pinned 6 days ago

  • planned-task-runtime

    This skill manages follow-up interactions with a background task execution system, handling task completion synthesis, failure replanning, workflow building…

    by n8nOfficial publisher

    Claude Code, Codex, Cursor +3 · about 2.2K tokens · pinned 6 days ago

  • skill-creator

    This skill guides agents through creating new skills that extend Gemini CLI with specialized knowledge, workflows, and tool integrations.

    by GoogleOfficial publisher

    Contains scripts

    Gemini CLI · about 5K tokens · pinned 6 days ago

  • -21risk-automation

    This skill automates 21risk operations by connecting to the 21risk toolkit through Composio's Rube MCP server.

    by ComposioOfficial publisher

    Claude Code, Codex, Cursor +3 · about 690 tokens · pinned 6 days ago

  • -2chat-automation

    This skill automates 2chat tasks by integrating with Composio's 2chat toolkit through Rube MCP.

    by ComposioOfficial publisher

    Agents not labelled yet · about 680 tokens · pinned 6 days ago

Open roles at Vapi

5 of 11 open roles on the jobs board

The skills listed here are third-party software, collected from public GitHub repositories as a catalog of recent skills and provided as is. Agent Native does not write or control them and is not responsible for any harm, loss or damage caused by installing or using them. Labels and checks describe what we saw at one commit and are not a guarantee. Read a skill's files before you run it. Terms of use