wgcna-power-threshold
Given a dataset name, find its expression matrix on the VEuPathDB workflow server, rsync it locally, and determine the WGCNA soft-threshold power.
Skill by VEuPathDB
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, productivity
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/wgcna-power-threshold
Tools it pre-approves 1
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash
What's inside
- Skill name
wgcna-power-threshold- Description
- Given a dataset name, find its expression matrix on the VEuPathDB workflow server, rsync it locally, and determine the WGCNA soft-threshold power.
- License
- Apache-2.0
- Allowed tools
- Bash
- Instructions
- 175 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (1)
- SKILL.md
SKILL.md (first lines)
!`cat ${CLAUDE_SKILL_DIR}/../../shared/sync-dataset-steps.md`
Substitute every occurrence of `DATASET_NAME` above with: **$ARGUMENTS**
After completing the steps above you have `remotePath` — the full path to the dataset directory on yew. Continue:
---
## Step 4 — Determine data type from the remote path
Inspect `remotePath` for "rnaseq" or "microarray" (case-insensitive).
- If it contains **rnaseq** → proceed to Step 5.
- If it contains **microarray** → skip to Step 6.
- If neither is clear, stop and ask the user to clarify the data type.
---
## Step 5 — RNAseq: find the expression matrix
Search for WGCNA input files under `remotePath`:
```bash
ssh yew "find <remotePath> -type f -name 'wgcnaInput*.txt'"
```
**Case A — only `wgcnaInput_unstranded.txt` found:**
Capture its full path as `remoteInputFile`. Skip to Step 7.
**Case B — both `wgcnaInput_firststrand.txt` and `wgcnaInput_secondstrand.txt` found:**
Rsync both files locally to decide which is sense:
```bash
mkdir -p /tmp/$ARGUMENTS
rsync -aL yew:<path/to/wgcnaInput_firststrand.txt> /tmp/$ARGUMENTS/
rsync -aL yew:<path/to/wgcnaInput_secondstrand.txt> /tmp/$ARGUMENTS/
```
Run R to compare column means:
```bash
Rscript ${CLAUDE_SKILL_DIR}/../../bin/select-strand.R $ARGUMENTS
```
- If output is `AMBIGUOUS`, stop and tell the user the strand could not be determined (report both means).
- Otherwise set `remoteInputFile` to the remote path of the selected strand file. Skip to Step 7.
**Case C — no `wgcnaInput*.txt` files found:**
Stop and tell the user no WGCNA input files were found under `remotePath`.
---
## Step 6 — Microarray: find the expression matrix
```bash
ssh yew "find <remotePath> -type f -name 'profiles.txt'"
```
If exactly one file is found, capture it as `remoteInputFile`. Continue to Step 7.
If zero files are found, stop and tell the user no `profiles.txt` was found — list all `.txt` files under `remotePath` and ask the user to pick one.
If more than one is found, show the list and ask the user to pick one.
---
## Step 7 — Locate analysisConfig.xml via manual delivery path
!`cat ${CLAUDE_SKILL_DIR}/../../shared/manual-delivery-path.md`
Substitute every occurrence of `DATASET_NAME` above with: **$ARGUMENTS**
`technologyType` was determined in Step 4 (`RNASeq` or `Microarray`).
After completing the steps above you have `manualDeliveryPath`. The `analysisConfig.xml` lives at:
```
<manualDeliveryPath>/analysisConfig.xml
```
Rsync it along with the chosen input file:
```bash
mkdir -p /tmp/$ARGUMENTS
rsync -aL yew:<remoteInputFile> /tmp/$ARGUMENTS/
rsync -aL yew:<manualDeliveryPath>/analysisConfig.xml /tmp/$ARGUMENTS/
```
If `analysisConfig.xml` is not found on the remote (rsync exits non-zero or the file is absent), stop and tell the user it was not found at `<manualDeliveryPath>/analysisConfig.xml`.
Write a `paths.txt` file recording the key remote paths found during this run:
```bash
cat > /tmp/$ARGUMENTS/paths.txt <<EOF
datasetName: $ARGUMENTS
remoteInputFile: <remoteInputFile>
manualDeliveryPath: <manualDeliveryPath>
analysisConfig: <manualDeliveryPath>/analysisConfig.xml
EOF
```
---
## Step 8 — Determine WGCNA soft-threshold power and save plot
```bash
Rscript ${CLAUDE_SKILL_DIR}/../../bin/wgcna-power-threshold.R $ARGUMENTS
```
Capture the recommended power as `softThresholdPower`. If it is `NA`, stop and tell the user no clear threshold was found and show the fit table.
---
## Step 9 — Write per-dataset output directory
By this point you have captured:
- `datasetName` = `$ARGUMENTS`
- `softThresholdPower` from Step 8
- `organismAbbrev` from Step 2
- `inputFileBasename` = basename of `remoteInputFile`
- `strandType` = one of: `firststrand`, `secondstrand`, `unstranded`, or `microarray`From VEuPathDB/dataset-cleaner, Apache-2.0.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 3, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/VEuPathDB/dataset-cleaner
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
wgcna-power-threshold skill. Agent Mart. https://agentmart.dev/skills/veupathdb-wgcna-power-threshold (last updated 2026-10-24)