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Forms & Data Collection

Form builder for AI agents — create forms with validated fields, publish, collect submissions, and analyze response patterns via mcp-forms.

What this skill teaches

A reusable playbook for a specific kind of work.

An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.

Build and manage forms — create forms, add fields with validation, publish, collect submissions, and analyze responses. Use when creating forms, building surveys, reviewing submissions, validating input, or analyzing response data.

Architecture

How Forms & Data Collection guides an ADK-Rust agent.

The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.

01

User request

The agent receives a goal expressed in ordinary language.

02

Forms & Data Collection skill

Matches intent, supplies the decision guide, and narrows the tool boundary.

03

ADK-Rust agent

Plans the workflow and streams each meaningful step through the runtime.

04

mcp-forms

Executes authenticated operations against the system that owns the capability.

05

Verified result

The skill's completion rules shape the evidence returned to the user.

Portable instructions: SKILL.md · Capability boundary: mcp-forms · Allowed tools: 11

Decision guide

How the agent turns a request into the right action.

These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.

01

"create form", "build survey"?

create_form + add_field + publish_form

02

"submissions", "responses"?

list_submissions / get_submission

03

"analytics", "results"?

get_analytics

04

"validate"?

validate_submission

Proven workflows

Repeatable sequences for useful outcomes.

A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.

013-4 calls

Build Form

Create + add fields + validate + publish

021-2 calls

Collect Responses

Submit + server-side validation

031-2 calls

Analyze

Completion rates, averages, distribution

Tool boundary

The skill may use 11 documented tools.

This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-forms retains responsibility for authentication, validation, and the connected system.

list_forms
get_form
create_form
add_field
publish_form
submit_form
validate_submission
list_submissions
get_submission
get_analytics
delete_form

Working rules

What the agent should do.

  • Validate all input server-side
  • Include consent notices for data collection
  • Set submission limits to prevent abuse

Operating boundaries

What the agent should avoid.

  • Don't collect more data than needed (data minimization)
  • Don't skip validation on required fields

Install and connect

Add the skill beside the capability it expects.

Install the repository where your ADK-Rust skill loader can discover it, connect mcp-forms, and confirm the declared tools are available before asking the agent to use the workflow.

Install the skill
git clone https://github.com/zavora-ai/skill-forms-data-collection.git \
  ~/.skills/skills/forms-data-collection
ADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("forms-data-collection").await?;

let agent = LlmAgentBuilder::new("agent")
    .instruction(skill.instructions())
    .tools(skill.allowed_tools(toolset)?)
    .build()?;

The repository's compatibility statement: Requires mcp-forms server connected.

Official documentation

Read the complete skill package.

The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.

Source record

Repository metadata for this skill entry.

View public repository ↗
License
Apache-2.0
Allowed tools
11
References
3
Revision
ecfb05068d48
Updated
May 31, 2026