General
pacsomatic - Claude MCP Skill
Prepares and launches nf-core/pacsomatic matched tumor-normal PacBio HiFi genomics workflows from unaligned BAM inputs. Supports samplesheet generation, pinned Nextflow launch artifacts, local checks, LSF/Slurm/PBS Pro/SGE launcher submission, and startup troubleshooting. Use for pacsomatic run preparation and execution, not general short-read somatic analysis or medical imaging PACS.
SEO Guide: Enhance your AI agent with the pacsomatic tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to prepares and launches nf-core/pacsomatic matched tumor-normal pacbio hifi genomics workflows from un... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# pacsomatic ## When to use Use [scripts/run_pacsomatic.py](scripts/run_pacsomatic.py) to prepare one matched PacBio HiFi tumor/normal pair, generate a samplesheet and reproducible launch artifacts, and launch locally or submit the **Nextflow driver** to a scheduler. The pipeline realigns input BAMs; this helper targets unaligned HiFi BAMs and optional PacBio `.pbi` indexes. Do not substitute short reads or treat a BAM filename as evidence of platform, matched identity, or methylation information. The reviewed upstream `dev` commit is `24c84cb371b0339c1d65a4de9451671945e19772`. GitHub had no releases or tags on 2026-10-01, despite the internal manifest saying `1.0.0`. The helper pins that commit by default for `nf-core/pacsomatic`; it does not invent a release tag. This is a source-reviewed development workflow, not a clinically validated assay. See [references/pacsomatic_guide.md](references/pacsomatic_guide.md) for sources and scientific checks. ## Workflow 1. Obtain distinct tumor and normal BAM paths, patient ID, distinct sample IDs, output directory, and exactly one reference mode: `--fasta` or `--genome`. IDs and BAM/PBI/FASTA paths must have no whitespace. Local inputs must be nonempty regular files. Remote BAM/PBI/FASTA URIs are passed through without downloading or authenticating; use managed filesystem/cloud credentials, never embed secrets or signed URLs in generated files. 2. Confirm PacBio HiFi read groups and sample identity from acquisition metadata; confirm that MM/ML modification tags needed for methylation have been retained. Verify reference sequence/contig compatibility for every annotation resource. 3. Generate artifacts with `--dry-run`. This performs helper checks and writes files, but does **not** invoke the pipeline, validate BAM contents, check remote availability, resolve every pipeline parameter, or verify biological suitability. Missing runtime tools are warnings here. `--dry-run` cannot be combined with `--run`/`--submit`, cloning, or environment creation. 4. Review samplesheet, generated params YAML, script, pipeline revision, profiles, and branch-specific resources/skips. Existing artifacts require explicit `--overwrite`; input files can never be artifact targets. `config.yaml` is an operator reference, not an automatically loaded configuration file. 5. For execution, select the actual runtime with `--use-current-path` or an existing `--conda-env`. Load cluster modules **before** invoking the helper; `--module-load` only repeats those commands in the generated script. No Conda YAML is bundled; creating an environment needs `--conda-env-file` explicitly. 6. Use `--run` only for requested execution. For HPC, distinguish the outer launcher scheduler (`--executor`) from Nextflow's per-task `process.executor`, configured by a site profile or `--nextflow-config`. Driver CPU/memory requests do not constrain task resources. Read [references/config-and-output.md](references/config-and-output.md). 7. Report artifact paths, revision, checks/warnings, run type, submission ID if present, and a concrete next QC or failure-triage step. Scheduler acceptance is not pipeline completion. Keep the output directory and work/cache state stable for `--resume`; scripts run with the output directory as their cwd. ## Examples Run these from the repository root. Paths and site settings are **illustrative**; local tests use synthetic placeholders only, not human genomic data. ```bash python skills/pacsomatic/scripts/run_pacsomatic.py \ --tumor-bam /data/P001_T.bam --normal-bam /data/P001_N.bam \ --patient-id P001 --tumor-sample-id P001_T --normal-sample-id P001_N \ --outdir /results/P001 --fasta /refs/GRCh38.fa \ --profile apptainer --use-current-path --dry-run ``` After reviewing artifacts, a Slurm launch can use the same inputs plus the following options (replace `--dry-run` with `--run`): ```text --executor slurm --queue compute --project my_account --cpus 2 --memory-gb 8 --walltime 48:00 --nextflow-config /configs/slurm.config --overwrite --run ``` Those resources are for the driver, assuming the reviewed infrastructure config sets `process.executor = 'slurm'` and suitable task queue/resources. The helper normalizes `48:00` to Slurm `48:00:00` (48 hours). Do not add a `sanger` profile unless actually using that institution's LSF infrastructure. Custom pipeline parameters go in `--params-file`; infrastructure goes in `--nextflow-config` (`-c`). The helper's explicit input/outdir/reference options win over params-file values. `--extra-args` is tokenized and shell-quoted, but cannot override these managed inputs/configuration options. Keep paths inside external params/config files absolute because the launcher cwd is the outdir. ## Verification and references ```bash uv run skills-ref validate skills/pacsomatic python tests/run_all.py --isolated pacsomatic ``` The standard-library suite checks local artifact behavior, path protections, CLI modes, runtime failures and mocked scheduler submissions. Native Nextflow checks use a tiny local workflow; they do not establish that pacsomatic's full containerized scientific pipeline succeeds on a given dataset or cluster. - [Operator playbook](references/agent-playbook.md) - [Configuration, scheduler and output contracts](references/config-and-output.md) - [Upstream sources and scientific checks](references/pacsomatic_guide.md)
Signals
Information
- Repository
- K-Dense-AI/claude-scientific-skills
- Author
- K-Dense-AI
- Last Sync
- 10/31/2026
- Repo Updated
- 10/31/2026
- Created
- 5/28/2026
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