Use this skill when the user is analyzing Takara Seeker or Trekker spatial transcriptomics data, ICELL8 or PLL-Seq data, or files and metadata that mention Takara, Seeker, Trekker, or paired Trekker FASTQs. Also use it for Takara-derived H5AD objects that need QC, background removal, normalization, clustering, differential expression, or cell typing.
Use this skill for Takara platform detection, workflow order, step execution, and helper-library usage.
Takara, Seeker, or TrekkerSeeker or TrekkerIf the platform is still unclear, ask before executing platform-specific steps.
If the environment supports redeem_package, install the Takara package before analysis:
package_code: 3015c6c63ecc3f2cd410ea340a36af05777package_version_id: 192If redeem_package is unavailable, continue with the repo-local docs and the current environment.
Read main.md for the step plan, then load each step doc before executing it.
If a step requires Takara helper code, import from the skill's lib/ directory:
import sys
sys.path.insert(0, "<skill-root>/lib")
from takara.background_removal import KitType, remove_background
Resolve <skill-root> to the directory where this skill is checked out in the current environment.
If latch-workflows, latch-plots-ui, or latch-data-access are available, prefer them for:
If those sibling skills are not available, use the local wf/, steps/, and README.md docs directly.