/i4h-workflow-e2e
Run the full end-to-end agentic pipeline (record → mimic → annotate → replay → convert → visualize → finetune → validate). Use when asked to run the whole pipeline or do an e2e, smoke, or demo run.
$ npx -y skills add NVIDIA/skills --skill i4h-workflow-e2e --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/i4h-workflow-e2e
Context preview
The summary Claude sees to decide when to auto-load this skill.
Run the full end-to-end agentic pipeline (record → mimic → annotate → replay → convert → visualize → finetune → validate). Use when asked to run the whole pipeline or do an e2e, smoke, or demo run.
SKILL.md
i4h-workflow-e2e.SKILL.mdname: i4h-workflow-e2e
version: "0.6.0"
description: Run the full end-to-end agentic pipeline (record → mimic → annotate → replay → convert → visualize → finetune → validate). Use when asked to run the whole pipeline or do an e2e, smoke, or demo run.
license: Apache-2.0
metadata:
author: "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>"
tags:
- isaac-for-healthcare
- i4h
- agentic-workflow
- end-to-end
- pipelinei4h Workflow — End-to-End
Purpose
Run the full end-to-end agentic pipeline (record, mimic, annotate/filter, replay, convert, visualize, finetune, validate). Use when the user asks to run the full pipeline, smoke the whole workflow, demo the workflow, or do an e2e run.
Base Code
These steps drive the i4h-workflows base code (the `workflows/agentic/` tree). To reuse an existing checkout, set `I4H_WORKFLOWS` to its path (no clone happens). Otherwise this resolves the current repo, or clones to `~/i4h-workflows` — pick that default without prompting. Run every command below from the resolved root:
# Resolve the i4h-workflows base code (provides workflows/agentic/).
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/agentic" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/i4h-workflows}"
[ -d "$ROOT/workflows/agentic" ] || git clone https://github.com/isaac-for-healthcare/i4h-workflows "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"; cd "$ROOT"Basics
- **Env config (source of truth):** `workflows/agentic/config/environments/<env>.yaml` — drives every stage for `<env>` (robot, task, policy, cameras, `arena.max_timesteps`, `dataset.*` mappings).
- Use the e2e script for full pipeline runs.
- For per-stage work, use the corresponding dataset/finetune/validate skills.
- `assemble_trocar` is inference-only; the e2e script skips finetune and checkpoint validation for it.
Dry Run
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/agentic" ] || REPO_ROOT="$HOME/i4h-workflows"
"${REPO_ROOT}/workflows/agentic/scripts/e2e/run.sh" --dry-run --env <env>Run
Run the steps below in order. Each step is a separate bash call; variables persist in the local agent's tmux session.
For Claude Code `--print` or any other noninteractive runner, keep Step 2 in the foreground. This is a validation requirement: do not use Claude background tasks, async task mode, Bash background mode, `&`, `nohup`, `tmux`, `disown`, or any detached process/task id, and do not answer that the pipeline is still running. Do not return until `run.sh` exits and you have inspected `logs/SUMMARY.txt` on success, or the failing stage log on failure. Report the run dir, skipped stages, per-stage status, key artifacts, and cleanup/stop status before finishing.
Step 1 — setup
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/agentic" ] || REPO_ROOT="$HOME/i4h-workflows"Step 2 — e2e pipeline
"${REPO_ROOT}/workflows/agentic/scripts/e2e/run.sh" --env <env>Flags
- `--skip-mimic`, `--skip-annotate`, `--skip-replay`, `--skip-viz`
- `--from-stage <stage> --run-dir <existing-run>` resumes from a prior run.
- Policy record/verify stages open the sim window by default. Set `ARENA_HEADLESS=1` before `run.sh` only when the user explicitly asks for headless/no-window execution.
Stages: `setup record mimic annotate replay convert viz finetune validate summary`.
Outputs
The script prints `RUN_DIR` and symlinks it to `runs/.latest`. Subdirs:
- `logs/` — per-stage logs, `workflow.log` (full teed output), and `logs/SUMMARY.txt` (the final summary report)
- `data/`
- `lerobot/`
- `checkpoint/` (trainable envs only)
Monitor
`run.sh` runs every stage in the foreground and returns only when the whole pipeline ends, so track a long run from a **separate shell** (do not expect to query it from the shell that launched it):
tail -f "${REPO_ROOT}/workflows/agentic/runs/.latest/logs/workflow.log" # live per-stage progress
cat "${REPO_ROOT}/workflows/agentic/runs/.latest/logs/SUMMARY.txt" # final report (once DONE)Stop
Step 3 — stop (if needed)
"${REPO_ROOT}/workflows/agentic/stop.sh" all --env <env>Prerequisites
- Workflow set up via [[i4h-workflow-setup]] (the `.venv` must exist); `setup` is also the first pipeline stage.
- A valid `--env` name to drive the run.
- For per-stage work, use the corresponding dataset/finetune/validate skills instead.
Limitations
- `assemble_trocar` is inference-only; the e2e script skips finetune and checkpoint validation for it.
- `checkpoint/` outputs are produced for trainable envs only.
- Resuming requires both `--from-stage <stage>` and `--run-dir <existing-run>`.
Troubleshooting
- **Error:** `.venv` not found / module import fails - Cause: workflow not set up. Fix: run [[i4h-workflow-setup]] first.
- **Error:** env not recognized - Cause: wrong `--env` name. Fix: pass a valid env name; dry-run first with `--dry-run --env <env>`.
- **Error:** resume fails to find prior outputs - Cause: `--from-stage` used without a matching `--run-dir`. Fix: pass `--from-stage <stage> --run-dir <existing-run>`.
- **Error:** stale processes block a rerun - Cause: a previous pipeline session is still running. Fix: run `stop.sh all --env <env>` before retrying.
Final Response
Report env, run dir, skipped stages, per-stage success/failure, key artifact paths.
Read more
name: i4h-workflow-e2e
version: "0.6.0"
description: Run the full end-to-end agentic pipeline (record → mimic → annotate → replay → convert → visualize → finetune → validate). Use when asked to run the whole pipeline or do an e2e, smoke, or demo run.
license: Apache-2.0
metadata:
author: "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>"
tags:
- isaac-for-healthcare
- i4h
- agentic-workflow
- end-to-end
- pipelinei4h Workflow — End-to-End
Purpose
Run the full end-to-end agentic pipeline (record, mimic, annotate/filter, replay, convert, visualize, finetune, validate). Use when the user asks to run the full pipeline, smoke the whole workflow, demo the workflow, or do an e2e run.
Base Code
These steps drive the i4h-workflows base code (the `workflows/agentic/` tree). To reuse an existing checkout, set `I4H_WORKFLOWS` to its path (no clone happens). Otherwise this resolves the current repo, or clones to `~/i4h-workflows` — pick that default without prompting. Run every command below from the resolved root:
# Resolve the i4h-workflows base code (provides workflows/agentic/).
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/agentic" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/i4h-workflows}"
[ -d "$ROOT/workflows/agentic" ] || git clone https://github.com/isaac-for-healthcare/i4h-workflows "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"; cd "$ROOT"Basics
- **Env config (source of truth):** `workflows/agentic/config/environments/<env>.yaml` — drives every stage for `<env>` (robot, task, policy, cameras, `arena.max_timesteps`, `dataset.*` mappings).
- Use the e2e script for full pipeline runs.
- For per-stage work, use the corresponding dataset/finetune/validate skills.
- `assemble_trocar` is inference-only; the e2e script skips finetune and checkpoint validation for it.
Dry Run
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/agentic" ] || REPO_ROOT="$HOME/i4h-workflows"
"${REPO_ROOT}/workflows/agentic/scripts/e2e/run.sh" --dry-run --env <env>Run
Run the steps below in order. Each step is a separate bash call; variables persist in the local agent's tmux session.
For Claude Code `--print` or any other noninteractive runner, keep Step 2 in the foreground. This is a validation requirement: do not use Claude background tasks, async task mode, Bash background mode, `&`, `nohup`, `tmux`, `disown`, or any detached process/task id, and do not answer that the pipeline is still running. Do not return until `run.sh` exits and you have inspected `logs/SUMMARY.txt` on success, or the failing stage log on failure. Report the run dir, skipped stages, per-stage status, key artifacts, and cleanup/stop status before finishing.
Step 1 — setup
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/agentic" ] || REPO_ROOT="$HOME/i4h-workflows"Step 2 — e2e pipeline
"${REPO_ROOT}/workflows/agentic/scripts/e2e/run.sh" --env <env>Flags
- `--skip-mimic`, `--skip-annotate`, `--skip-replay`, `--skip-viz`
- `--from-stage <stage> --run-dir <existing-run>` resumes from a prior run.
- Policy record/verify stages open the sim window by default. Set `ARENA_HEADLESS=1` before `run.sh` only when the user explicitly asks for headless/no-window execution.
Stages: `setup record mimic annotate replay convert viz finetune validate summary`.
Outputs
The script prints `RUN_DIR` and symlinks it to `runs/.latest`. Subdirs:
- `logs/` — per-stage logs, `workflow.log` (full teed output), and `logs/SUMMARY.txt` (the final summary report)
- `data/`
- `lerobot/`
- `checkpoint/` (trainable envs only)
Monitor
`run.sh` runs every stage in the foreground and returns only when the whole pipeline ends, so track a long run from a **separate shell** (do not expect to query it from the shell that launched it):
tail -f "${REPO_ROOT}/workflows/agentic/runs/.latest/logs/workflow.log" # live per-stage progress
cat "${REPO_ROOT}/workflows/agentic/runs/.latest/logs/SUMMARY.txt" # final report (once DONE)Stop
Step 3 — stop (if needed)
"${REPO_ROOT}/workflows/agentic/stop.sh" all --env <env>Prerequisites
- Workflow set up via [[i4h-workflow-setup]] (the `.venv` must exist); `setup` is also the first pipeline stage.
- A valid `--env` name to drive the run.
- For per-stage work, use the corresponding dataset/finetune/validate skills instead.
Limitations
- `assemble_trocar` is inference-only; the e2e script skips finetune and checkpoint validation for it.
- `checkpoint/` outputs are produced for trainable envs only.
- Resuming requires both `--from-stage <stage>` and `--run-dir <existing-run>`.
Troubleshooting
- **Error:** `.venv` not found / module import fails - Cause: workflow not set up. Fix: run [[i4h-workflow-setup]] first.
- **Error:** env not recognized - Cause: wrong `--env` name. Fix: pass a valid env name; dry-run first with `--dry-run --env <env>`.
- **Error:** resume fails to find prior outputs - Cause: `--from-stage` used without a matching `--run-dir`. Fix: pass `--from-stage <stage> --run-dir <existing-run>`.
- **Error:** stale processes block a rerun - Cause: a previous pipeline session is still running. Fix: run `stop.sh all --env <env>` before retrying.
Final Response
Report env, run dir, skipped stages, per-stage success/failure, key artifact paths.
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