scimate-ai/hpc-skills/hpc-spack
Claude Code and agent skill by scimate-ai/hpc-skills
- community
Checking that the SKILL.md file is still in the repository.
Build, review, debug, and stabilize Spack-based HPC software stacks. Use when working with Spack specs, variants, compilers, externals, environments, concretization, compiler or MPI matrices, site stacks, binary reuse, or Spack install and reuse failures.
Install
npx vskill@latest install scimate-ai/hpc-skills/hpc-spackSKILL.md
HPC Spack
Treat Spack as a stack manager, not just an install command. Decide the compiler, MPI, externals, concretization policy, and environment boundary before changing package-level variants.
Start
- Read
references/spec-and-variant-matrix.mdbefore writing or repairing a Spack spec. - Read
references/compilers-and-external-packages.mdwhen compiler registration,packages.yaml, or external software ownership is in scope. - Read
references/environments-and-concretization.mdwhen usingspack.yaml, lockfiles, unified concretization, or multi-package environments. - Read
references/compiler-and-mpi-matrix.mdwhen the stack depends on compiler or MPI families and their combinations. - Read
references/modules-buildcaches-and-binary-reuse.mdwhen integrating site modules, buildcaches, mirrors, or binary reuse. - Read
references/site-stack-and-reproducibility.mdwhen the goal is a durable site stack, reproducible environment, or cluster handoff. - Read
references/error-recovery.mdwhen concretization, install, compiler detection, external-package, or reuse behavior fails.
Work sequence
- Decide the stack boundary first:
- site-provided externals
- project-local Spack environment
- site-maintained Spack stack
- Register compilers and externals before solving the dependency graph.
- Write the minimal spec or environment that captures the intended compiler and MPI choices.
- Concretize and inspect the solved graph before launching a long install.
- Capture environment manifests, overrides, and reuse settings with the build record.
Guardrails
- Do not mix ad hoc package installs and environment-managed installs casually.
- Do not force many variants at once before the compiler and external package model is coherent.
- Do not treat concretization policy as an afterthought when several packages must coexist.
- Do not hide site-provided MPI, CUDA, or math libraries from Spack if the cluster expects them to be reused as externals.
Additional References
Load these on demand:
references/spec-and-variant-matrix.mdfor spec syntax and variant selection patternsreferences/compilers-and-external-packages.mdfor compiler registration and external package ownershipreferences/environments-and-concretization.mdforspack.yaml, lockfiles, and concretization behaviorreferences/compiler-and-mpi-matrix.mdfor compiler/MPI cross-product planningreferences/modules-buildcaches-and-binary-reuse.mdfor binary reuse and module integrationreferences/site-stack-and-reproducibility.mdfor site-stack hygiene and durable reproducibilityreferences/error-pattern-dictionary.mdfor fast matching of common Spack failure classes
Reusable Templates
Use assets/templates/ when a concrete starting point is faster than rebuilding the Spack workflow from scratch, especially:
spack-env-minimal.yamlpackages-external-example.yamlcompilers-example.yamlspack-create-env-and-install.shspack-build-smoke-slurm.sh
Outputs
Summarize:
- chosen environment boundary
- compiler and MPI strategy
- external package assumptions
- concretization or binary-reuse choices
- the exact Spack failure class if the workflow is being repaired
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/hpc-spack/SKILL.md
Popularity
- Repository stars
- 34
- Repository forks
- 6
- 7-day trend score
- 18
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 27 Apr 2026, 6 months ago.
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