numcodecs Compression / Decompression Starter
SkillAI & modelsUse this skill to round-trip a small integer matrix through a deterministic numcodecs compressor and inspect the encoded payload summary.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the numcodecs Compression / Decompression Starter skill
About this capability
A framework for discovering, compiling, and validating reusable skills for scientific agents.
What this skill tells your AI
The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/data-acquisition-and-dataset-handling/numcodecs-compression-decompression-starter/SKILL.md and read by ahel’s review.
Use this skill to round-trip a small integer matrix through a deterministic numcodecs compressor and inspect the encoded payload summary.
What This Skill Does
- reads a tiny tabular integer matrix
- encodes the matrix bytes with
numcodecs.Blosc - decodes the payload and verifies lossless recovery
- reports shape, dtype, encoded byte count, and simple row statistics
When To Use It
- when you need a starter for
compression-decompression - when you want a repo-local
numcodecsexample outside the full Zarr stack - when you need a small regression fixture for round-trip codec checks
Run
./slurm/envs/data-tools/bin/python skills/data-acquisition-and-dataset-handling/numcodecs-compression-decompression-starter/scripts/run_numcodecs_compression_decompression.py --input skills/data-acquisition-and-dataset-handling/numcodecs-compression-decompression-starter/examples/toy_matrix.tsv --out scratch/numcodecs/toy_matrix_summary.json
Notes
- The codec configuration is fixed so the canonical asset stays stable.
- The example is intentionally tiny and integer-only; validate codec choices on real payloads before production use.
Signals
- GitHub stars
- 39
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
numcodecs-compression-decompression-starter- Source
- github.com/ma-compbio-lab/skillfoundry