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launch-workflow

Launch Nextflow pipeline executions on cloud and HPC clusters via Seqera Platform. Use when the user wants to run/launch/submit a pipeline on a cloud or cluster compute environment, configure a compute environment, push pipeline changes to GitHub before launching, or sign in to S

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Preis unbestätigt★ 21 GitHub-StarsVerzeichnis aktualisiert · 14. Sept. 2026agent-skill

Übersicht

Launch Nextflow pipeline executions on cloud and HPC clusters via Seqera Platform. Use when the user wants to run/launch/submit a pipeline on a cloud or cluster compute environment, configure a compute environment, push pipeline changes to GitHub before launching, or sign in to Seqera Platform.

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Launch Pipeline on Seqera Platform

Launch Nextflow pipeline executions on cloud (AWS, Google Cloud, Azure) and HPC clusters (Slurm, LSF, etc.) through Seqera Platform. Seqera Platform manages the target compute environment, executes the pipeline from a remote Git repository, and provides monitoring.

Requires Nextflow 26.04 or later (for the nextflow auth and nextflow launch commands).

Main Flow

  1. Configure the compute environment — select a Seqera Platform compute environment for the target cloud or cluster.
  2. Ensure the pipeline is in a remote Git repository — Seqera Platform launches pipelines from GitHub (or a compatible Git host such as GitLab or Bitbucket). If the local pipeline is not yet hosted, assist the user in setting up the repository.
  3. Upload local changes — push any uncommitted local changes to the remote so the launched run reflects the user's current code.
  4. Launch with nextflow launch — submit the pipeline by passing the Git repository URL and the expected parameters.

Step 1: Authenticate with Seqera Platform

Check whether the user is already authenticated:

nextflow auth status

If not authenticated, sign in:

nextflow auth login

This opens a browser for authentication. Wait for the user to complete the login flow before proceeding.

Step 2: Configure the Compute Environment

List available compute environments using the Seqera API:

call_seqera_api(
  service: "platform",
  api_name: "platform_list_compute_envs",
  parameters: {}
)

Selecting the compute environment:

  1. Present the available compute environments to the user (name, platform type, region/cluster).
  2. If multiple environments are available, ask the user which one to use.
  3. If only one is available, propose it and ask for confirmation.
  4. Confirm the selected compute environment with the user before launching.

Step 3: Ensure the Pipeline Is in a Remote Git Repository

Seqera Platform launches pipelines from a remote Git URL — it cannot launch directly from a local path. Verify the pipeline directory is a Git repository connected to a remote on GitHub (or a compatible host like GitLab or Bitbucket).

Check the current state:

git remote -v
git status

If the pipeline is not yet a Git repository or has no remote, assist the user in setting it up:

  1. Initialize the repository if needed:
    git init
    git add .
    git commit -m "Initial pipeline commit"
    
  2. Help the user create a remote repository (e.g., on GitHub via gh repo create) or ask for an existing remote URL.
  3. Add the remote and push:
    git remote add origin <repo-url>
    git push -u origin main
    

Step 4: Upload Local Changes

Before launching, push any local changes so the remote reflects the code that should run:

git status
git add <files>
git commit -m "<message>"
git push

If the working tree is clean and the local branch is in sync with the remote, skip this step.

Step 5: Launch the Pipeline

Use nextflow launch with the Git repository URL and parameters:

nextflow launch <git-repo-url> \
  -r <revision> \
  --input <input> \
  --outdir <outdir> \
  [additional --params...]
Examples

Launch a pipeline from GitHub:

nextflow launch https://github.com/org/pipeline \
  -r main \
  --input samplesheet.csv \
  --outdir s3://bucket/results

Launch an nf-core pipeline:

nextflow launch https://github.com/nf-core/rnaseq \
  -r 3.14.0 \
  --input samplesheet.csv \
  --outdir s3://bucket/results \
  --genome GRCh38
Key options
OptionDescription
-r <revision>Pipeline version, branch, or tag
--inputInput samplesheet or data
--outdirOutput directory (cloud storage when running on cloud CEs)
-params-file params.ymlParameters file
-resumeResume a previous execution

Step 6: Monitor the Execution

nextflow launch returns a run URL on Seqera Platform. Present this URL to the user so they can monitor progress in the Platform UI.

Critical Rules

  1. AUTHENTICATE first — check nextflow auth status before attempting to launch.
  2. CONFIRM the compute environment — always show the user the selected CE before launching.
  3. REQUIRE a remote Git repository — the pipeline must be hosted on GitHub or a compatible Git host. If not, help the user set it up before launching.
  4. PUSH local changes first — the launched run uses the remote code, so local edits must be committed and pushed.
  5. PASS the Git repository URL to nextflow launch, not a local path.
  6. PIN the revision — always use -r to target a specific branch, tag, or commit for reproducibility.
  7. USE cloud storage for --outdir when the target CE runs on a cloud platform (s3://, gs://, az://).
  8. PRESENT the run URL returned by nextflow launch so the user can monitor the run.
Dateimetadaten
name: launch-workflow
description: Launch Nextflow pipeline executions on cloud and HPC clusters via Seqera Platform. Use when the user wants to run/launch/submit a pipeline on a cloud or cluster compute environment, configure a compute environment, push pipeline changes to GitHub before launching, or sign in to Seqera Platform.
allowed-tools: Bash, Read, Glob, mcp__seqera__search_seqera_api, mcp__seqera__call_seqera_api
Originaltext anzeigen
---
name: launch-workflow
description: Launch Nextflow pipeline executions on cloud and HPC clusters via Seqera Platform. Use when the user wants to run/launch/submit a pipeline on a cloud or cluster compute environment, configure a compute environment, push pipeline changes to GitHub before launching, or sign in to Seqera Platform.
allowed-tools: Bash, Read, Glob, mcp__seqera__search_seqera_api, mcp__seqera__call_seqera_api
---

# Launch Pipeline on Seqera Platform

Launch Nextflow pipeline executions on cloud (AWS, Google Cloud, Azure) and HPC clusters (Slurm, LSF, etc.) through Seqera Platform. Seqera Platform manages the target compute environment, executes the pipeline from a remote Git repository, and provides monitoring.

**Requires Nextflow 26.04 or later** (for the `nextflow auth` and `nextflow launch` commands).

## Main Flow

1. **Configure the compute environment** — select a Seqera Platform compute environment for the target cloud or cluster.
2. **Ensure the pipeline is in a remote Git repository** — Seqera Platform launches pipelines from GitHub (or a compatible Git host such as GitLab or Bitbucket). If the local pipeline is not yet hosted, assist the user in setting up the repository.
3. **Upload local changes** — push any uncommitted local changes to the remote so the launched run reflects the user's current code.
4. **Launch with `nextflow launch`** — submit the pipeline by passing the Git repository URL and the expected parameters.

## Step 1: Authenticate with Seqera Platform

Check whether the user is already authenticated:

```bash
nextflow auth status
```

If not authenticated, sign in:

```bash
nextflow auth login
```

This opens a browser for authentication. Wait for the user to complete the login flow before proceeding.

## Step 2: Configure the Compute Environment

List available compute environments using the Seqera API:

```
call_seqera_api(
  service: "platform",
  api_name: "platform_list_compute_envs",
  parameters: {}
)
```

Selecting the compute environment:

1. Present the available compute environments to the user (name, platform type, region/cluster).
2. If multiple environments are available, ask the user which one to use.
3. If only one is available, propose it and ask for confirmation.
4. Confirm the selected compute environment with the user before launching.

## Step 3: Ensure the Pipeline Is in a Remote Git Repository

Seqera Platform launches pipelines from a remote Git URL — it cannot launch directly from a local path. Verify the pipeline directory is a Git repository connected to a remote on GitHub (or a compatible host like GitLab or Bitbucket).

Check the current state:

```bash
git remote -v
git status
```

**If the pipeline is not yet a Git repository or has no remote**, assist the user in setting it up:

1. Initialize the repository if needed:
   ```bash
   git init
   git add .
   git commit -m "Initial pipeline commit"
   ```
2. Help the user create a remote repository (e.g., on GitHub via `gh repo create`) or ask for an existing remote URL.
3. Add the remote and push:
   ```bash
   git remote add origin <repo-url>
   git push -u origin main
   ```

## Step 4: Upload Local Changes

Before launching, push any local changes so the remote reflects the code that should run:

```bash
git status
git add <files>
git commit -m "<message>"
git push
```

If the working tree is clean and the local branch is in sync with the remote, skip this step.

## Step 5: Launch the Pipeline

Use `nextflow launch` with the Git repository URL and parameters:

```bash
nextflow launch <git-repo-url> \
  -r <revision> \
  --input <input> \
  --outdir <outdir> \
  [additional --params...]
```

### Examples

**Launch a pipeline from GitHub:**
```bash
nextflow launch https://github.com/org/pipeline \
  -r main \
  --input samplesheet.csv \
  --outdir s3://bucket/results
```

**Launch an nf-core pipeline:**
```bash
nextflow launch https://github.com/nf-core/rnaseq \
  -r 3.14.0 \
  --input samplesheet.csv \
  --outdir s3://bucket/results \
  --genome GRCh38
```

### Key options

| Option | Description |
|--------|-------------|
| `-r <revision>` | Pipeline version, branch, or tag |
| `--input` | Input samplesheet or data |
| `--outdir` | Output directory (cloud storage when running on cloud CEs) |
| `-params-file params.yml` | Parameters file |
| `-resume` | Resume a previous execution |

## Step 6: Monitor the Execution

`nextflow launch` returns a run URL on Seqera Platform. Present this URL to the user so they can monitor progress in the Platform UI.

## Critical Rules

1. **AUTHENTICATE first** — check `nextflow auth status` before attempting to launch.
2. **CONFIRM the compute environment** — always show the user the selected CE before launching.
3. **REQUIRE a remote Git repository** — the pipeline must be hosted on GitHub or a compatible Git host. If not, help the user set it up before launching.
4. **PUSH local changes first** — the launched run uses the remote code, so local edits must be committed and pushed.
5. **PASS the Git repository URL** to `nextflow launch`, not a local path.
6. **PIN the revision** — always use `-r` to target a specific branch, tag, or commit for reproducibility.
7. **USE cloud storage for `--outdir`** when the target CE runs on a cloud platform (s3://, gs://, az://).
8. **PRESENT the run URL** returned by `nextflow launch` so the user can monitor the run.

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Lizenz
Apache-2.0
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Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • KI-Prüffreigabe fehlt
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 21 GitHub stars
  • Stars/forks activity: 21 stars, 1 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

  1. 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
  2. 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
  3. 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository
nextflow-io/agent-skills
Lizenz
Apache-2.0
Version
Unknown
Letzter GitHub-Push
5. Aug. 2026
Verzeichnis aktualisiert
14. Sept. 2026

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

49/100

Prüfung nötig

Vertrauen

57/100

Do not auto-install

Audit

67/100

Prüfung nötig

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • KI-Prüffreigabe fehlt
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 21 GitHub stars
  • Stars/forks activity: 21 stars, 1 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Ergebnisse
—

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Weitere Details
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  "agent_contract": {
    "task_input": "Use launch-workflow in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 65/100 Manual review",
      "Audit: 67/100 Needs review",
      "Safety: 23/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "nextflow-io-launch-workflow (launch-workflow)",
      "install_command": "npx skills add nextflow-io/agent-skills --skill launch-workflow",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "nextflow-io-launch-workflow",
      "task": "Use launch-workflow in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/nextflow-io-launch-workflow",
    "api": "https://www.openagentskill.com/api/agent/skills/nextflow-io-launch-workflow",
    "audit": "https://www.openagentskill.com/skills/nextflow-io-launch-workflow/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=nextflow-io-launch-workflow&task=Use%20launch-workflow%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20launch-workflow%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20launch-workflow%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/nextflow-io-launch-workflow/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/nextflow-io-launch-workflow"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
nextflow-io
Indexiert von
OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird nextflow-io zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

Share-Kit

Creator-Backlink-Kit

Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nextflow-io-launch-workflow?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nextflow-io-launch-workflow?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/nextflow-io-launch-workflow?metric=trust&label=Trust)](https://www.openagentskill.com/skills/nextflow-io-launch-workflow?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/nextflow-io-launch-workflow?metric=audit&label=Audit)](https://www.openagentskill.com/skills/nextflow-io-launch-workflow/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/nextflow-io-launch-workflow?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/nextflow-io-launch-workflow?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.