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SkillHub ClubAnalyze Data & AIData / AIFull StackIntegration

single-trajectory-analysis

This skill provides a detailed workflow for single-cell trajectory analysis using PAGA, Palantir, and VIA methods with RNA velocity integration. It offers specific parameter tuning guidance and troubleshooting tips for common issues in trajectory inference pipelines.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
873
Hot score
99
Updated
March 20, 2026
Overall rating
A7.5
Composite score
6.3
Best-practice grade
N/A

Install command

npx @skill-hub/cli install starlitnightly-omicverse-single-trajectory
single-cell-analysistrajectory-inferencerna-velocitybioinformaticsreproducible-workflows

Repository

Starlitnightly/omicverse

Skill path: .claude/skills/single-trajectory

This skill provides a detailed workflow for single-cell trajectory analysis using PAGA, Palantir, and VIA methods with RNA velocity integration. It offers specific parameter tuning guidance and troubleshooting tips for common issues in trajectory inference pipelines.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Data / AI, Full Stack, Integration.

Target audience: AI/ML teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Starlitnightly.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install single-trajectory-analysis into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/Starlitnightly/omicverse before adding single-trajectory-analysis to shared team environments
  • Use single-trajectory-analysis for ai/ml workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

single-trajectory-analysis | SkillHub