Agent skill

Studio Adding Robot Form UI Fields

by open-edge-platform in open-edge-platform/physical-ai-studio

Adds a new interactive robot form UI field for plugin payload schemas.

Apache-2.0Auto-check passedFrontend & Design

Install Studio Adding Robot Form UI Fields

skills CLI
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a claude-code

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

GitHub CLI
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fields --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/open-edge-platform/physical-ai-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/application/studio-adding-robot-form-ui-fields .claude/skills/studio-adding-robot-form-ui-fields && 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
studio-adding-robot-form-ui-fields
GitHub stars
129
Token cost
~1.6k tokens
SKILL.md length
544 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Adds a new interactive robot form UI field for plugin payload schemas.

  • Works in 7 steps: Define the UX contract and ownership… → Add SDK typing + validation for the new… → Render the field in SchemaForm using… → …
  • Introducing a new robotpayloadui item kind
  • SKILL.md covers Workflow, Verify and References
  • Calls npm, python3 and uv

What it does

Studio Adding Robot Form UI Fields is an agent skill from open-edge-platform/physical-ai-studio. Adds a new interactive robot form UI field for plugin payload schemas. Use when introducing a new robotpayloadui item kind, wiring renderer support under application/ui/src/features/robots/robot-form/robot-schema/components, updating plugin SDK UI-schema validation, and documenting how plugin authors adopt the field.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Forms and validation. The repository describes itself as: Physical AI Studio is an end-to-end framework for training robots to perform tasks through imitation learning from human demonstrations. The licence is Apache-2.0.

When your agent uses it

  • Introducing a new robotpayloadui item kind
  • Wiring renderer support under application/ui/src/features/robots/robot-form/robot-schema/components
  • Updating plugin SDK UI-schema validation
  • Documenting how plugin authors adopt the field

Example prompts

  • “/studio-adding-robot-form-ui-fields”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Define the UX contract and ownership model.
  2. Add SDK typing + validation for the new item kind.
  3. Render the field in SchemaForm using kind-based dispatch.
  4. Implement robust field UX and payload updates.
  5. Adopt the new kind in built-in catalog payloads.
  6. Add tests at all affected layers.
  7. Update docs and communicate to plugin authors.

What it can do on your machine

Read from SKILL.md and the folder at commit 2484be4. 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

    Shell commands in SKILL.md call:

    • npm
    • python3
    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use npm and uv, which can reach the network depending on how they are called.

    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

Studio Adding Robot Form UI Fields loads about 1.6k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 544 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 open-edge-platform/physical-ai-studio at commit 2484be4, republished under its Apache-2.0 licence (© open-edge-platform). 544 words, ~1,622 tokens.

Download SKILL.mdSave it as .claude/skills/studio-adding-robot-form-ui-fields/SKILL.md (or your agent's skills folder).
name
studio-adding-robot-form-ui-fields
description
Adds a new interactive robot form UI field for plugin payload schemas. Use when introducing a new `robot_payload_ui` item kind, wiring renderer support under application/ui/src/features/robots/robot-form/robot-schema/components, updating plugin SDK UI-schema validation, and documenting how plugin authors adopt the field.
license
Apache-2.0

Adding Robot Form UI Field Components

Add new robot-form controls as explicit robot_payload_ui(...) item kinds so plugin authors can opt in without Studio-specific React code in plugins.

Read these first:

  • application/docs/robot-plugins.md
  • application/docs/explanation/robot-plugin-architecture.md
  • physicalai/packages/physicalai-studio-plugin/src/physicalai_studio_plugin/ui_schema.py
  • application/ui/src/features/robots/robot-form/robot-schema/schema-form.tsx

Workflow

  1. Define the UX contract and ownership model.

    • Pick an explicit kind name (for example calibration) and required item shape (name, optional label, optional description, etc.).
    • Keep ownership semantics aligned with existing controls: item-owned fields must not also be rendered as field or owned by another item.
    • Prefer explicit opt-in (kind) over heuristic detection in the UI.
    • Done when: you can describe exactly which payload field(s) the item owns and how plugins enable it.
  2. Add SDK typing + validation for the new item kind.

    • Edit physicalai/packages/physicalai-studio-plugin/src/physicalai_studio_plugin/ui_schema.py:
      • add a new TypedDict for the item kind,
      • include it in RobotUiItem union,
      • validate required fields and field type constraints,
      • enforce ownership conflict checks.
    • Keep validation errors precise and actionable for plugin authors.
    • Done when: invalid metadata fails validate_robot_payload_ui(...) with a clear error and valid metadata passes.
  3. Render the field in SchemaForm using kind-based dispatch.

    • Add a component under application/ui/src/features/robots/robot-form/robot-schema/components/.
    • Integrate it in application/ui/src/features/robots/robot-form/robot-schema/schema-form.tsx in SchemaFormItem next to existing connection / ip_address handling.
    • Reuse shared visibility rules; do not create ad-hoc visibility behavior for a single kind.
    • Honor robot_field_ui({"advanced_configuration": True}) and required/optional behavior consistently.
    • Done when: rendering is triggered only by explicit kind items and matches default form behavior for advanced/required fields.
  4. Implement robust field UX and payload updates.

    • Parse and validate user input in the component before mutating payload.
    • Show clear inline errors for invalid input.
    • Keep labels/descriptions visually consistent with existing form controls.
    • For structured payloads (like calibration maps), include a compact preview so users can verify imported values.
    • Done when: happy path updates payload correctly, invalid path is recoverable, and the control is readable in dense forms.
  5. Adopt the new kind in built-in catalog payloads.

    • Update backend payload UI metadata in the relevant catalog file(s), e.g. application/backend/src/robots/catalog/so101.py.
    • Replace generic field usage with the new item kind where appropriate.
    • Keep business semantics in field descriptions (for example: when a provided calibration bypasses guided calibration).
    • Done when: /api/robots/catalog/{type}/schema emits the expected x-physicalai-ui item and Studio renders the new control.
  6. Add tests at all affected layers.

    • UI component tests (new file):
      • application/ui/src/features/robots/robot-form/robot-schema/components/<new-field>.test.tsx
      • cover parse success, parse failure, required/optional markers, preview/sorting, and clear/reset behavior.
    • Schema form integration tests:
      • application/ui/src/features/robots/robot-form/robot-schema/schema-form.test.tsx
      • assert kind-driven rendering, advanced visibility, and payload wiring.
    • Feature-level tests where used (example bimanual forms):
      • application/ui/src/features/robots/robot-form/catalog/*.test.tsx
    • Plugin SDK contract tests:
      • physicalai/packages/physicalai-studio-plugin/tests/test_contracts.py
      • cover valid item metadata, type errors, missing fields, and ownership conflicts.
    • Done when: all changed test suites pass locally.
  7. Update docs and communicate to plugin authors.

    • Update public docs:
      • application/docs/robot-plugins.md (supported item kinds + usage snippet)
      • application/docs/explanation/robot-plugin-architecture.md (architecture list of supported kinds)
    • Add a handoff note for plugin maintainers when behavior changes materially:
      • application/docs/handoff-<feature>.md (expected JSON format, migration guidance, limitations)
    • Include copy-paste plugin snippet showing new robot_payload_ui usage.
    • Call out rollout notes explicitly for affected plugin owners (for example SO101, BimanualSO101, LeKiwi):
      • what to change,
      • what stays backward compatible,
      • what validation/runtime behavior changes.
    • Done when: plugin authors can adopt the feature without reading UI source code.
Show full SKILL.md (25 more words)Show less

Verify

From application/ui/:

bash
npm run type-check
npm run test:unit -- src/features/robots/robot-form/robot-schema/components/<new-field>.test.tsx
npm run test:unit -- src/features/robots/robot-form/robot-schema/schema-form.test.tsx

From the runtime repo root (or environment where plugin tests run):

bash
uv run python -m pytest packages/physicalai-studio-plugin/tests/test_contracts.py

When skill files changed:

bash
python3 .github/scripts/skills/agent_skills.py sync
python3 .github/scripts/skills/agent_skills.py validate

References

  • application/ui/src/features/robots/robot-form/robot-schema/schema-form.tsx
  • application/ui/src/features/robots/robot-form/robot-schema/components/connection-field.tsx
  • application/ui/src/features/robots/robot-form/robot-schema/components/ip-address-field.tsx
  • application/ui/src/features/robots/robot-form/robot-schema/components/calibration-field.tsx
  • physicalai/packages/physicalai-studio-plugin/src/physicalai_studio_plugin/ui_schema.py
  • physicalai/packages/physicalai-studio-plugin/tests/test_contracts.py

© open-edge-platform, 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

Just SKILL.md in skills/application/studio-adding-robot-form-ui-fields of open-edge-platform/physical-ai-studio.

Open the folder on GitHubat commit 2484be4

Compare with similar skills

Studio Adding Robot Form UI Fields 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.

Studio Adding Robot Form UI Fields compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Formik Form PatternsChrisWiles/claude-code-showcase6.1k3 repos~2.1kAutomated safety check: PassNone
Buefy Vue UI Componentsbuefy/buefy9.5k—~8.2kAutomated safety check: PassMIT
Formkitformkit/formkit4.8k—~1.7kAutomated safety check: PassMIT

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Questions about Studio Adding Robot Form UI Fields

What does Studio Adding Robot Form UI Fields do?

Adds a new interactive robot form UI field for plugin payload schemas. Studio Adding Robot Form UI Fields is an agent skill from open-edge-platform/physical-ai-studio. Adds a new interactive robot form UI field for plugin payload schemas.

When should I use Studio Adding Robot Form UI Fields?

Studio Adding Robot Form UI Fields fits situations like: introducing a new robotpayloadui item kind; wiring renderer support under application/ui/src/features/robots/robot-form/robot-schema/components; updating plugin SDK UI-schema validation; documenting how plugin authors adopt the field.

How do I install Studio Adding Robot Form UI Fields in Claude Code?

Run `npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a claude-code`. Or copy the skill folder (skills/application/studio-adding-robot-form-ui-fields in open-edge-platform/physical-ai-studio) into .claude/skills/studio-adding-robot-form-ui-fields in your project. Claude Code loads it when a task matches its description.

How do I install Studio Adding Robot Form UI Fields in Codex?

Run `npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a codex`. Or copy the skill folder (skills/application/studio-adding-robot-form-ui-fields in open-edge-platform/physical-ai-studio) into .agents/skills/studio-adding-robot-form-ui-fields in your project. Codex loads it when a task matches its description.

Can I use Studio Adding Robot Form UI Fields 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 open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/studio-adding-robot-form-ui-fields, .gemini/skills/studio-adding-robot-form-ui-fields, .github/skills/studio-adding-robot-form-ui-fields and .opencode/skills/studio-adding-robot-form-ui-fields in your project.

What does Studio Adding Robot Form UI Fields need to run?

Going by SKILL.md and its folder, Studio Adding Robot Form UI Fields needs the command-line tools its instructions call (npm, python3 and uv). Our summary lists: Python 3.

Does Studio Adding Robot Form UI Fields access the network?

SKILL.md contains no URLs. Its commands use npm and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Studio Adding Robot Form UI Fields 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 Studio Adding Robot Form UI Fields use?

Studio Adding Robot Form UI Fields is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Studio Adding Robot Form UI Fields use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Studio Adding Robot Form UI Fields?

Skills that share tags, products or a category with Studio Adding Robot Form UI Fields: MCP Development (coollabsio/coolify, 63k stars), Accessibility Fixer (ibelick/ui-skills, 9.5k stars), Formik Form Patterns (ChrisWiles/claude-code-showcase, 6.1k stars) and Buefy Vue UI Components (buefy/buefy, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Studio Adding Robot Form UI Fields?

open-edge-platform (a GitHub organization) maintains it in open-edge-platform/physical-ai-studio, which has 129 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.

Source: open-edge-platform/physical-ai-studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.