bio-single-cell-metabolite-communication
Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-single-cell-metabolite-communication --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: matplotlib 3.8+, scanpy 1.10+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Metabolite-Mediated Cell Communication **"Analyze metabolic crosstalk between cell types"** → Predict metabolite secretion-sensing interactions between cell populations based on enzyme and transporter expression patterns. - Python: `mebocost.MeboCost(adata, groupby='cell_type')` → `run_mebocost()` ## MeboCost Overview MeboCost infers metabolite-mediated communication by: 1. Predicting metabolite secretion from enzyme expression 2. Identifying metabolite-sensing receptors 3. Computing communication scores between cell types ## Basic Workflow **Goal:** Infer metabolite-mediated cell-cell communication from scRNA-seq data by predicting which cell types secrete and sense specific metabolites. **Approach:** Initialize a MeboCost object from an AnnData with cell type annotations, run pe
- Version Compatibility
- MeboCost Overview
- Basic Workflow
- Prepare Data
- Run Communication Analysis
- Analyze Results
- Visualization
- Compare Conditions
- Metabolite Categories
- Related Skills
What does the bio-single-cell-metabolite-communication skill do?
Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-single-cell-metabolite-communication --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.