/i4h-workflow-dataset-teleop
Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
Claude Code
$ npx -y skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop --agent claude-code
Codex
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop -a codex -y
Cursor
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop -a cursor -y
Gemini CLI
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop -a gemini-cli -y
GitHub Copilot
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop -a github-copilot -y
OpenCode
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop -a opencode -y
Windsurf
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-teleop -a windsurf -y
SKILL.md
i4h-workflow-dataset-teleop.SKILL.mdname: i4h-workflow-dataset-teleop
description: Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
license: Apache-2.0
metadata:
author: "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>"
version: "0.8.0"
verification-request: "2026-09-15"
tags:
- isaac-for-healthcare
- i4h
- dataset
- teleoperation
- hdf5Record Teleop Demonstrations
Purpose
Run the workflow's declared teleop graph through the shared `SimulationRunner` so actions, state, cameras, segments, attempts, and outcomes use the normal HDF5 contract.
Instructions
1. Resolve the base checkout and live teleop device contract. 2. Choose a supported human-input device. 3. Record in the foreground through `run.sh`. 4. Inspect visible motion and HDF5 content.
Resolve support
export I4H_WORKFLOWS_REPO_URL="${I4H_WORKFLOWS_REPO_URL:-https://github.com/isaac-for-healthcare/i4h-workflows}"
I4H_REPO_DIR_NAME="${I4H_WORKFLOWS_REPO_URL%/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*:}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME%.git}"
[ -n "$I4H_REPO_DIR_NAME" ] || { echo "Cannot derive a checkout name from I4H_WORKFLOWS_REPO_URL" >&2; exit 2; }
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/i4h_workflows" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/$I4H_REPO_DIR_NAME}"
[ -d "$ROOT/workflows/i4h_workflows" ] || git clone "$I4H_WORKFLOWS_REPO_URL" "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"
cd "$ROOT"
./run.sh list
./run.sh show <workflow> --mode teleopTreat the resolver above as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains `workflows/i4h_workflows`. `I4H_WORKFLOWS_REPO_URL` selects the clone source. When `I4H_WORKFLOWS` is unset, derive the fallback directory from that URL; set `I4H_WORKFLOWS` only to reuse or choose a specific destination. Never replace an existing checkout.
Require `teleop` in the live mode list. Read the workflow builder, its scene manifest `teleop` override, and the embodiment manifest's `teleop_devices`. Do not maintain a static support table in the skill.
Choose input
- Use the named device when supported.
- Otherwise use the workflow builder's default device.
- Keep interactive keyboard/leader/VR/bus sessions visible and in the foreground. Surface the device controls and require the human operator to complete the task.
- Never pretend to provide human input in an unattended shell.
Record
./run.sh <workflow> --teleop <device> \
--episodes <N> --attempts 3 \
--record
Omit `<device>` to use the workflow default. Bare `--record` writes `demos.hdf5` inside the launcher's automatic run directory. Read the absolute directory from the `==> run dir ...` line or `run.json`; do not recreate its timestamp in the shell. When a larger pipeline requires a caller-selected shared directory, pass `--run-dir "$RUN_DIR" --record demos.hdf5`; the launcher creates the directory and anchors the relative recording name inside it. An absolute `--record` path remains supported.
Verify
Require the final `N/N episodes succeeded` summary. Then inspect content:
RUN_DIR="<absolute run_dir from run.json or launcher output>"
uv run --project tools/dataset i4h-dataset inspect "$RUN_DIR/demos.hdf5" --segments
uv run --project tools/dataset i4h-dataset actions "$RUN_DIR/demos.hdf5"
Visually confirm that the operator completes the requested task, robot motion matches the input device, and all expected cameras record the same behavior. Treat zero saved episodes, missing observations, absent action motion, or an unsuccessful task outcome as failure. Stop leftovers with `./stop.sh all`.
Troubleshooting
On device or width errors, compare the workflow teleop builder, Scene mode override, and embodiment devices.
Prerequisites
Require a workflow with `teleop`, a supported device, a working simulator, and a present operator for interactive input.
Limitations
Teleop records human input and requires an operator for interactive devices. Record autonomous rule-based Tasks with `i4h-workflow-validate` instead.
Examples
- `Record 5 keyboard teleop demonstrations for locomanip tray pick and place.` → use G1's supported keyboard device, require a human operator, and verify the recorded action motion.
Completion gate
Report workflow, mode/device, controls, requested/saved episodes, attempts, visual result, HDF5 path, dimensions/segments, and whether a human operator completed the task.
Read more
name: i4h-workflow-dataset-teleop
description: Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
license: Apache-2.0
metadata:
author: "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>"
version: "0.8.0"
verification-request: "2026-09-15"
tags:
- isaac-for-healthcare
- i4h
- dataset
- teleoperation
- hdf5Record Teleop Demonstrations
Purpose
Run the workflow's declared teleop graph through the shared `SimulationRunner` so actions, state, cameras, segments, attempts, and outcomes use the normal HDF5 contract.
Instructions
1. Resolve the base checkout and live teleop device contract. 2. Choose a supported human-input device. 3. Record in the foreground through `run.sh`. 4. Inspect visible motion and HDF5 content.
Resolve support
export I4H_WORKFLOWS_REPO_URL="${I4H_WORKFLOWS_REPO_URL:-https://github.com/isaac-for-healthcare/i4h-workflows}"
I4H_REPO_DIR_NAME="${I4H_WORKFLOWS_REPO_URL%/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*:}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME%.git}"
[ -n "$I4H_REPO_DIR_NAME" ] || { echo "Cannot derive a checkout name from I4H_WORKFLOWS_REPO_URL" >&2; exit 2; }
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/i4h_workflows" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/$I4H_REPO_DIR_NAME}"
[ -d "$ROOT/workflows/i4h_workflows" ] || git clone "$I4H_WORKFLOWS_REPO_URL" "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"
cd "$ROOT"
./run.sh list
./run.sh show <workflow> --mode teleopTreat the resolver above as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains `workflows/i4h_workflows`. `I4H_WORKFLOWS_REPO_URL` selects the clone source. When `I4H_WORKFLOWS` is unset, derive the fallback directory from that URL; set `I4H_WORKFLOWS` only to reuse or choose a specific destination. Never replace an existing checkout.
Require `teleop` in the live mode list. Read the workflow builder, its scene manifest `teleop` override, and the embodiment manifest's `teleop_devices`. Do not maintain a static support table in the skill.
Choose input
- Use the named device when supported.
- Otherwise use the workflow builder's default device.
- Keep interactive keyboard/leader/VR/bus sessions visible and in the foreground. Surface the device controls and require the human operator to complete the task.
- Never pretend to provide human input in an unattended shell.
Record
./run.sh <workflow> --teleop <device> \ --episodes <N> --attempts 3 \ --record
Omit `<device>` to use the workflow default. Bare `--record` writes `demos.hdf5` inside the launcher's automatic run directory. Read the absolute directory from the `==> run dir ...` line or `run.json`; do not recreate its timestamp in the shell. When a larger pipeline requires a caller-selected shared directory, pass `--run-dir "$RUN_DIR" --record demos.hdf5`; the launcher creates the directory and anchors the relative recording name inside it. An absolute `--record` path remains supported.
Verify
Require the final `N/N episodes succeeded` summary. Then inspect content:
RUN_DIR="<absolute run_dir from run.json or launcher output>" uv run --project tools/dataset i4h-dataset inspect "$RUN_DIR/demos.hdf5" --segments uv run --project tools/dataset i4h-dataset actions "$RUN_DIR/demos.hdf5"
Visually confirm that the operator completes the requested task, robot motion matches the input device, and all expected cameras record the same behavior. Treat zero saved episodes, missing observations, absent action motion, or an unsuccessful task outcome as failure. Stop leftovers with `./stop.sh all`.
Troubleshooting
On device or width errors, compare the workflow teleop builder, Scene mode override, and embodiment devices.
Prerequisites
Require a workflow with `teleop`, a supported device, a working simulator, and a present operator for interactive input.
Limitations
Teleop records human input and requires an operator for interactive devices. Record autonomous rule-based Tasks with `i4h-workflow-validate` instead.
Examples
- `Record 5 keyboard teleop demonstrations for locomanip tray pick and place.` → use G1's supported keyboard device, require a human operator, and verify the recorded action motion.
Completion gate
Report workflow, mode/device, controls, requested/saved episodes, attempts, visual result, HDF5 path, dimensions/segments, and whether a human operator completed the task.
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Questions about i4h-workflow-dataset-teleop.
- Which coding agents can use i4h-workflow-dataset-teleop?
- i4h-workflow-dataset-teleop installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

