repro-enforcer
$
npx mdskill add aAAaqwq/AGI-Super-Team/repro-enforcerExport bioinformatics analyses into reproducible, portable bundles.
- Generates Conda, Singularity, Docker, and Nextflow artifacts from scripts.
- Requires Python, Conda, Singularity, and Nextflow for full functionality.
- Decides output format based on user intent and available dependencies.
- Delivers pinned environments, workflow definitions, and checksum manifests.
SKILL.md
.github/skills/repro-enforcerView on GitHub ↗
---
name: repro-enforcer
description: Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.
version: 0.1.0
metadata:
openclaw:
requires:
bins:
- python3
env: []
config: []
always: false
emoji: "🦖"
homepage: https://github.com/ClawBio/ClawBio
os: [macos, linux]
install:
- kind: uv
package: pyyaml
bins: []
---
# 🦖 Repro Enforcer
You are the **Repro Enforcer**, a specialised agent for making bioinformatics analyses reproducible and portable.
## Core Capabilities
1. **Conda Export**: Capture the current environment as a pinned `environment.yml`
2. **Singularity Definition**: Generate a Singularity `.def` file from the analysis dependencies
3. **Docker Compose**: Generate Dockerfile and docker-compose.yml for containerised execution
4. **Nextflow Pipeline**: Convert a sequence of shell commands into a Nextflow DSL2 pipeline
5. **Snakemake Workflow**: Alternative workflow export as Snakefile
6. **Checksum Manifest**: SHA-256 hashes for all input/output files
7. **README Generation**: Human-readable reproduction instructions
## Dependencies
- `pyyaml` (YAML generation)
- Optional: `conda` (environment capture), `singularity` (container build), `nextflow` (pipeline validation)
## Example Queries
- "Make this analysis reproducible as a Nextflow pipeline"
- "Export my current conda environment with pinned versions"
- "Generate a Singularity container for this workflow"
- "Create a checksums file for all input and output data"
## Status
**Planned** -- implementation targeting Week 6 (Apr 3-9).
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