Agent skill

Field Service Data Capture Form Designer Configure

by forcedotcom in forcedotcom/sf-skills

Design a Field Service Mobile Data Capture Flow from either a natural-language description OR a PDF/image of an existing paper form.

Apache-2.0Auto-check passedDocuments & Office

Install Field Service Data Capture Form Designer Configure

skills CLI
$ npx skills add forcedotcom/sf-skills --skill field-service-data-capture-form-designer-configure -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install forcedotcom/sf-skills field-service-data-capture-form-designer-configure --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/forcedotcom/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/field-service-data-capture-form-designer-configure .claude/skills/field-service-data-capture-form-designer-configure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
field-service-data-capture-form-designer-configure
GitHub stars
1.1k
Token cost
~2.5k tokens
SKILL.md length
1,224 words
Files
3 (incl. references)
Skills in repo
252
Repo updated
First seen
Licence
Apache-2.0

At a glance

Design a Field Service Mobile Data Capture Flow from either a natural-language description OR a PDF/image of an existing paper form.

  • Works in 6 steps: Read the source (mode-dependent) → Extract the intermediate JSON → Determine the desired outcome → …
  • Patch an already-deployed flow — thats fs-data-capture-form-editor
  • SKILL.md covers When this skill fires, Workflow, Out of scope and Files in this skill
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Field Service Data Capture Form Designer Configure is an agent skill from forcedotcom/sf-skills. Design a Field Service Mobile Data Capture Flow from either a natural-language description OR a PDF/image of an existing paper form. Extracts field labels, types, required-state, and section structure into an intermediate JSON spec, confirms the plan with the user, then hands off to fs-data-capture-form-deployer for compile + deploy. Handles both input modes in one skill — prose ('build a Field Service form for asset inspection', 'make a DataCaptureFlow that asks the technician to…', 'create an inventory transfer…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/extraction-from-image.md` and `references/extraction-from-prompt.md`).

It sits in Documents & Office, covering PDF. The repository describes itself as: Salesforce's curated collection of agent skills for building applications. Optimized for Agentforce Vibes, compatible with all AI tools. The licence is Apache-2.0.

When your agent uses it

  • Patch an already-deployed flow — thats fs-data-capture-form-editor
  • Tasks that involve PDF

Example prompts

  • “build a Field Service form for asset inspection”
  • “make a DataCaptureFlow that asks the technician to…”
  • “create an inventory transfer form”
  • “/field-service-data-capture-form-designer-configure”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Read the source (mode-dependent)
  2. Extract the intermediate JSON
  3. Determine the desired outcome
  4. Confirm with the user (mandatory gate)
  5. Hand off to Build
  6. Offer to attach the form to a parent record

What it can do on your machine

Read from SKILL.md and the folder at commit 4bbae5c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Field Service Data Capture Form Designer Configure loads about 2.5k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 232 tokens; SKILL.md has 1,224 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~232
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from forcedotcom/sf-skills at commit 4bbae5c, republished under its Apache-2.0 licence (© forcedotcom). 1,224 words, ~2,539 tokens.

Download SKILL.mdSave it as .claude/skills/field-service-data-capture-form-designer-configure/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
field-service-data-capture-form-designer-configure
description
Design a Field Service Mobile Data Capture Flow from either a natural-language description OR a PDF/image of an existing paper form. Extracts field labels, types, required-state, and section structure into an intermediate JSON spec, confirms the plan with the user, then hands off to fs-data-capture-form-deployer for compile + deploy. Handles both input modes in one skill — prose ('build a Field Service form for asset inspection', 'make a DataCaptureFlow that asks the technician to…', 'create an inventory transfer form') and visual sources ('convert this PDF to a Data Capture Flow', 'make a Field Service form from this image', 'turn this paper form into a DataCaptureFlow'). Detects the input mode automatically from a .pdf/.png/.jpg/.jpeg path, else extracts from the prose. Do NOT use this skill to patch an already-deployed flow — that's fs-data-capture-form-editor.
user-invocable
false
metadata.version
1.0
metadata.domains
Field Service

Design a Data Capture Form (from prose or from an image / PDF)

This skill produces an intermediate JSON spec from the user's input — a natural-language description or a PDF/image of an existing form — gets the user's approval on the plan, and then invokes fs-data-capture-form-deployer to compile and deploy.

When this skill fires

The user asks for a Data Capture Flow / Field Service Mobile form. The input arrives in one of two modes:

  • Prose mode — the user describes the form in plain text with no attached file. Examples:
    • "Create a data capture form for asset inspection that asks for asset id, condition rating, photos, and remarks."
    • "Build a Field Service form for inventory transfer with parts repeater, source location, and destination dropdown."
    • "Generate a DataCaptureFlow that captures three things: site name, contact info, and a notes field."
  • Image / PDF mode — the user supplies a path to a .pdf, .png, .jpg, or .jpeg file. Examples:
    • "Convert /tmp/inspection.pdf to a Data Capture Flow"
    • "Build a Field Service form from this image: ~/Downloads/site-visit.png"
    • "Turn this paper form into a DataCaptureFlow" (with attached image)

Detect the mode from the input: if the user supplied a .pdf / .png / .jpg / .jpeg path, use image/PDF mode; otherwise use prose mode. Everything after extraction (steps 2-6) is identical for both.

Workflow

1. Read the source (mode-dependent)

Prose mode — read the description carefully; don't fabricate fields. Extract only the fields the user actually mentioned. Don't invent extra fields based on what "usually goes on" an inspection form. If the user says "asks for asset id, condition rating, photos, and remarks", emit four fields, not eight.

If the user's description is too vague to produce a usable form ("build a form that captures stuff about a service appointment"), ask one or two targeted questions before extracting — what fields they want, whether there's a parent record, what should happen on submit. Don't guess.

Then apply the prose-evidence rules in reference/extraction-from-prompt.md.

Image / PDF mode — read the file. Use the Read tool on the path the user gave you. PDFs and images are natively supported. If the PDF is more than 10 pages, ask the user which pages contain the form (the Read tool requires a pages parameter for large PDFs).

Then apply the control-evidence rules in reference/extraction-from-image.md.

2. Extract the intermediate JSON

Apply every rule in the mode-appropriate extraction reference (from step 1). The output schema is defined by the input contract of the build skill:

  • field-types.md — field type → component mapping, required Flow boilerplate, choice/repeater shapes, visibility rules.
  • post-screen-automation.md — schema for the optional postScreen block.

Write the JSON to /tmp/data-capture-spec.json.

3. Determine the desired outcome

A data capture form is a means, not an end. Before asking for approval, decide what should happen in Salesforce when the user submits the form:

  • If the user explicitly says what to create/update ("create a ProductTransfer for each part"), OR the source/filename strongly implies an outcome (Inventory Transfer → ProductTransfer; Asset Inspection → WorkOrderLineItem) — emit a postScreen block with the named (or best-guess) object and field API names. When it's a best guess, list every valueRef / field in the confirmation step so the user can correct names.
  • If the outcome is ambiguous AND the user gave no hint — surface the question in the confirmation step ("What should happen when this form is submitted?") with concrete options drawn from the form's domain.
  • A screens-only flow with no postScreen is valid, but you must say so explicitly in the confirmation step.

See the mode-appropriate extraction reference for the full outcome-elicitation rules.

Show full SKILL.md (644 more words)Show less
4. Confirm with the user (mandatory gate)

Show the user what you plan to build before deploying. Use AskUserQuestion to gate the handoff to Build.

In the question body or surrounding text, plainly state:

  1. The desired outcome. What the flow does after the last screen — e.g. "Submitting the form will create a ProductTransfer per row in the Parts repeater" or "This flow only captures data — admin will wire up automation in Flow Builder." If a postScreen block was generated, list every Salesforce object name and every field API name it references. Object/field API names are the most common source of post-deploy errors.
  2. The formTitle and the proposed <FlowApiName> (PascalCase, no spaces).
  3. The number of screens and total fields (count repeater children too).
  4. Any visibility rules generated and the choice values they key off of.
  5. Every field type, especially specialized ones, and the evidence it's based on. For each Signature, UploadFile, UploadImage, Images, Matrix, Address, Lookup, FileView, or Repeater in the spec, name the field and the evidence — in prose mode the prose evidence ("user said 'parts repeater'", "user described a sign-here pad"); in image mode the visual evidence ("damagePhoto → UploadImage because the source has a camera-icon button"). These deploy as real functional components (dcSignature, dcUpImage, etc.) — so emitting them when the user only meant a text field (prose) or when you can only point to the field's label (image) is the most common extraction bug. If the matching control vocabulary / visual control isn't present, downgrade to ShortText/LongText/Numeric and call it out.
  6. Lookup objects and FileView filenames. For every Lookup, list the lookupObject (Salesforce object API name) and lookupSearchFields you chose. For every FileView, list the fileName. These names are common sources of post-deploy errors — surface them so the user can correct.
  7. Any fields that fell back to a labeled dcTextInput placeholder (only happens for Lookup with no lookupObject and FileView with no fileName).

Offer the user clear options:

  • Approve and deploy — proceed to step 5.
  • Edit the spec first — let them edit /tmp/data-capture-spec.json directly, then re-run from step 4.
  • Cancel — stop without deploying.

Do not proceed to step 5 without explicit approval.

5. Hand off to Build

Once approved, hand the approved spec to fs-data-capture-form-deployer. Pick a <FlowApiName> matching ^[A-Z][A-Za-z0-9_]*$ (default: PascalCase of formTitle), then follow that skill's workflow — it runs entirely over REST through the Codey runtime, with no sf CLI, no scripts, and no .flow-meta.xml:

  1. Verify org auth — fs-data-capture-form-deployer/SKILL.md §1 (a cheap SELECT Id FROM Organization LIMIT 1 REST probe; the runtime resolves the connected org — this family does not manage aliases).
  2. Build the Flow Metadata JSON inline from the approved spec — deployer §3 + reference/flow-metadata-json.md. The agent assembles the Metadata object directly; there is no XML compile step.
  3. Deploy with a single POST /services/data/vXX.0/tooling/sobjects/Flow carrying { "FullName": "<FlowApiName>", "Metadata": { ... } } — deployer §4.

After deploy, follow the reporting + error-handling steps in fs-data-capture-form-deployer/SKILL.md §5.

6. Offer to attach the form to a parent record

After a successful deploy, the flow exists but is invisible from the Forms tab on any Service Appointment / Work Order. Ask the user whether they want it attached to a specific parent (the canonical "pending form" pattern). If yes, follow the attach steps in fs-data-capture-form-deployer/SKILL.md §6 — a single POST /services/data/vXX.0/sobjects/DynamicDataCapture (no scripts). For SA-context testing, attach to the SA's parent Work Order, not the SA itself — FSL Mobile reads Forms from the parent Work Order.

Out of scope

  • Patching an already-deployed flow → fs-data-capture-form-editor.
  • Hand-authoring patterns the converter doesn't generate (visual polish HTML, real dcSignature/dcUpImage, master-detail child records, supporting CustomObjects) → fs-data-capture-reference library skill.

Files in this skill

  • reference/extraction-from-prompt.md — prose-evidence rules for picking field types from user descriptions, screen grouping, visibility rules, outcome-elicitation, validation checklist. Used in prose mode.
  • reference/extraction-from-image.md — control-evidence rules for picking field types from rendered widgets, repeater extraction rules, screen grouping, visibility rules, outcome-elicitation, validation checklist. Used in image / PDF mode.

© forcedotcom, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/field-service-data-capture-form-designer-configure of forcedotcom/sf-skills.

  • SKILL.md
  • references/extraction-from-image.md
  • references/extraction-from-prompt.md

Open the folder on GitHubat commit 4bbae5c

Compare with similar skills

Field Service Data Capture Form Designer Configure next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Field Service Data Capture Form Designer Configure compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Concrete Beam Designh30190/HJPLUS_Taiwan_Architect_KB158—~1.5kAutomated safety check: PassCC-BY-SA-4.0

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Questions about Field Service Data Capture Form Designer Configure

What does Field Service Data Capture Form Designer Configure do?

Design a Field Service Mobile Data Capture Flow from either a natural-language description OR a PDF/image of an existing paper form. Field Service Data Capture Form Designer Configure is an agent skill from forcedotcom/sf-skills. Design a Field Service Mobile Data Capture Flow from either a natural-language description OR a PDF/image of an existing paper form.

When should I use Field Service Data Capture Form Designer Configure?

Field Service Data Capture Form Designer Configure fits situations like: patch an already-deployed flow — thats fs-data-capture-form-editor; tasks that involve PDF.

How do I install Field Service Data Capture Form Designer Configure in Claude Code?

Run `npx skills add forcedotcom/sf-skills --skill field-service-data-capture-form-designer-configure -a claude-code`. Or copy the skill folder (skills/field-service-data-capture-form-designer-configure in forcedotcom/sf-skills) into .claude/skills/field-service-data-capture-form-designer-configure in your project. Claude Code loads it when a task matches its description.

How do I install Field Service Data Capture Form Designer Configure in Codex?

Run `npx skills add forcedotcom/sf-skills --skill field-service-data-capture-form-designer-configure -a codex`. Or copy the skill folder (skills/field-service-data-capture-form-designer-configure in forcedotcom/sf-skills) into .agents/skills/field-service-data-capture-form-designer-configure in your project. Codex loads it when a task matches its description.

Can I use Field Service Data Capture Form Designer Configure in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add forcedotcom/sf-skills --skill field-service-data-capture-form-designer-configure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/field-service-data-capture-form-designer-configure, .gemini/skills/field-service-data-capture-form-designer-configure, .github/skills/field-service-data-capture-form-designer-configure and .opencode/skills/field-service-data-capture-form-designer-configure in your project.

What does Field Service Data Capture Form Designer Configure need to run?

SKILL.md names no scripts, command-line tools or credentials: Field Service Data Capture Form Designer Configure is instructions for the agent only.

Does Field Service Data Capture Form Designer Configure access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Field Service Data Capture Form Designer Configure safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Field Service Data Capture Form Designer Configure use?

Field Service Data Capture Form Designer Configure is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Field Service Data Capture Form Designer Configure use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.8k tokens, read only when the agent opens those files.

What are the alternatives to Field Service Data Capture Form Designer Configure?

Skills that share tags, products or a category with Field Service Data Capture Form Designer Configure: Frontend Textbooks (onepixelaway/frontend-textbooks, 107 stars), Illustrator Preflight (ie3jp/illustrator-mcp-server, 157 stars), Kicad (aklofas/kicad-happy, 1.4k stars) and Frappe Syntax Print (Impertio-Studio/Frappe_Claude_Skill_Package, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Field Service Data Capture Form Designer Configure?

forcedotcom (a GitHub organization) maintains it in forcedotcom/sf-skills, which has 1,067 GitHub stars. The repository holds 252 skills in this directory. The repository was last updated on October 9, 2026.

Source: forcedotcom/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.