MCP Development
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
Agent skill
by open-edge-platform in open-edge-platform/physical-ai-studio
Adds a new interactive robot form UI field for plugin payload schemas.
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fields --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "studio-adding-robot-form-ui-fields" agent skill from https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fields into .claude/skills/studio-adding-robot-form-ui-fields/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "studio-adding-robot-form-ui-fields", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fieldsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fields --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/physical-ai-studio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/application/studio-adding-robot-form-ui-fields .agents/skills/studio-adding-robot-form-ui-fields && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "studio-adding-robot-form-ui-fields" agent skill from https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fields into .agents/skills/studio-adding-robot-form-ui-fields/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "studio-adding-robot-form-ui-fields", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fields --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/physical-ai-studio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/application/studio-adding-robot-form-ui-fields .cursor/skills/studio-adding-robot-form-ui-fields && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "studio-adding-robot-form-ui-fields" agent skill from https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fields into .cursor/skills/studio-adding-robot-form-ui-fields/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "studio-adding-robot-form-ui-fields", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/open-edge-platform/physical-ai-studio.git --path skills/application/studio-adding-robot-form-ui-fields--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fields --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/physical-ai-studio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/application/studio-adding-robot-form-ui-fields .gemini/skills/studio-adding-robot-form-ui-fields && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "studio-adding-robot-form-ui-fields" agent skill from https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fields into .gemini/skills/studio-adding-robot-form-ui-fields/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "studio-adding-robot-form-ui-fields", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fieldsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-edge-platform/physical-ai-studio.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/application/studio-adding-robot-form-ui-fields .github/skills/studio-adding-robot-form-ui-fields && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "studio-adding-robot-form-ui-fields" agent skill from https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fields into .github/skills/studio-adding-robot-form-ui-fields/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "studio-adding-robot-form-ui-fields", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add open-edge-platform/physical-ai-studio --skill studio-adding-robot-form-ui-fields -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-edge-platform/physical-ai-studio studio-adding-robot-form-ui-fields --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/physical-ai-studio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/application/studio-adding-robot-form-ui-fields .opencode/skills/studio-adding-robot-form-ui-fields && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "studio-adding-robot-form-ui-fields" agent skill from https://github.com/open-edge-platform/physical-ai-studio/tree/main/skills/application/studio-adding-robot-form-ui-fields into .opencode/skills/studio-adding-robot-form-ui-fields/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "studio-adding-robot-form-ui-fields", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
studio-adding-robot-form-ui-fieldsAdds 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. 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.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2484be4. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npmpython3uvFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.
.claude/skills/studio-adding-robot-form-ui-fields/SKILL.md (or your agent's skills folder).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.mdapplication/docs/explanation/robot-plugin-architecture.mdphysicalai/packages/physicalai-studio-plugin/src/physicalai_studio_plugin/ui_schema.pyapplication/ui/src/features/robots/robot-form/robot-schema/schema-form.tsxDefine the UX contract and ownership model.
kind name (for example calibration) and required item shape (name, optional label, optional description, etc.).field or owned by another item.kind) over heuristic detection in the UI.Add SDK typing + validation for the new item kind.
physicalai/packages/physicalai-studio-plugin/src/physicalai_studio_plugin/ui_schema.py:TypedDict for the item kind,RobotUiItem union,validate_robot_payload_ui(...) with a clear error and valid metadata passes.Render the field in SchemaForm using kind-based dispatch.
application/ui/src/features/robots/robot-form/robot-schema/components/.application/ui/src/features/robots/robot-form/robot-schema/schema-form.tsx in SchemaFormItem next to existing connection / ip_address handling.robot_field_ui({"advanced_configuration": True}) and required/optional behavior consistently.kind items and matches default form behavior for advanced/required fields.Implement robust field UX and payload updates.
Adopt the new kind in built-in catalog payloads.
application/backend/src/robots/catalog/so101.py.field usage with the new item kind where appropriate./api/robots/catalog/{type}/schema emits the expected x-physicalai-ui item and Studio renders the new control.Add tests at all affected layers.
application/ui/src/features/robots/robot-form/robot-schema/components/<new-field>.test.tsxapplication/ui/src/features/robots/robot-form/robot-schema/schema-form.test.tsxapplication/ui/src/features/robots/robot-form/catalog/*.test.tsxphysicalai/packages/physicalai-studio-plugin/tests/test_contracts.pyUpdate docs and communicate to plugin authors.
application/docs/robot-plugins.md (supported item kinds + usage snippet)application/docs/explanation/robot-plugin-architecture.md (architecture list of supported kinds)application/docs/handoff-<feature>.md (expected JSON format, migration guidance, limitations)robot_payload_ui usage.From application/ui/:
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.tsxFrom the runtime repo root (or environment where plugin tests run):
uv run python -m pytest packages/physicalai-studio-plugin/tests/test_contracts.pyWhen skill files changed:
python3 .github/scripts/skills/agent_skills.py sync
python3 .github/scripts/skills/agent_skills.py validateapplication/ui/src/features/robots/robot-form/robot-schema/schema-form.tsxapplication/ui/src/features/robots/robot-form/robot-schema/components/connection-field.tsxapplication/ui/src/features/robots/robot-form/robot-schema/components/ip-address-field.tsxapplication/ui/src/features/robots/robot-form/robot-schema/components/calibration-field.tsxphysicalai/packages/physicalai-studio-plugin/src/physicalai_studio_plugin/ui_schema.pyphysicalai/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
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
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Studio Adding Robot Form UI Fields this skillopen-edge-platform/physical-ai-studio | 129 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| MCP Developmentcoollabsio/coolify | 63k | 1 repos | ~949 | Automated safety check: Pass | MIT | |
| Accessibility Fixeribelick/ui-skills | 9.5k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Formik Form PatternsChrisWiles/claude-code-showcase | 6.1k | 3 repos | ~2.1k | Automated safety check: Pass | None | |
| Buefy Vue UI Componentsbuefy/buefy | 9.5k | — | ~8.2k | Automated safety check: Pass | MIT | |
| Formkitformkit/formkit | 4.8k | — | ~1.7k | Automated safety check: Pass | MIT |
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
ibelick/ui-skills
Audits and fixes HTML accessibility problems such as ARIA labels, keyboard navigation, focus management, contrast and form errors with minimal changes.
ChrisWiles/claude-code-showcase
Shows how to build forms with Formik and Yup validation, including conditional rules, field helpers, GraphQL submission, edit forms and multi-step flows.
buefy/buefy
Rules for writing Vue 3 templates with Buefy components on Bulma CSS: install options, prop conventions, b-field wrapping, tables, theming and dialogs.
formkit/formkit
A skill your agent uses when working with FormKit forms, validation, schema, or custom inputs in React, Vue, or Nuxt projects.
TokenRhythm/opensquilla
Guides semantic, accessible HTML work: pages, forms, media and HTML5 APIs, plus how to deliver a runnable webpage project with a preview.
open-edge-platform/physical-ai-studio
Adds or modifies a Physical AI Studio policy under library/src/physicalai/policies.
open-edge-platform/physical-ai-studio
Exports and validates Physical AI Studio policies for Runtime deployment.
open-edge-platform/physical-ai-studio
Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics.
open-edge-platform/physical-ai-studio
Trains, validates, tests, and runs prediction for Physical AI Studio policies via the library Lightning stack.
open-edge-platform/physical-ai-studio
Works with Physical AI Studio datasets and Lightning datamodules built on the LeRobot format.
open-edge-platform/physical-ai-studio
Creates or modifies an external Physical AI robot plugin for Studio.
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.