HyperFrames Media Use
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
A skill your agent uses when analyzing transcription factor (TF) regulatory networks using Dorothea database.
Install Tf Target Gene Regulatory Network
$ npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills tf-target-gene-regulatory-network --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network' .claude/skills/tf-target-gene-regulatory-network && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tf-target-gene-regulatory-network" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-network into .claude/skills/tf-target-gene-regulatory-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tf-target-gene-regulatory-network", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-networkType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills tf-target-gene-regulatory-network --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network' .agents/skills/tf-target-gene-regulatory-network && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tf-target-gene-regulatory-network" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-network into .agents/skills/tf-target-gene-regulatory-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tf-target-gene-regulatory-network", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills tf-target-gene-regulatory-network --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network' .cursor/skills/tf-target-gene-regulatory-network && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tf-target-gene-regulatory-network" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-network into .cursor/skills/tf-target-gene-regulatory-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tf-target-gene-regulatory-network", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills tf-target-gene-regulatory-network --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network' .gemini/skills/tf-target-gene-regulatory-network && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tf-target-gene-regulatory-network" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-network into .gemini/skills/tf-target-gene-regulatory-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tf-target-gene-regulatory-network", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aipoch/medical-research-skills tf-target-gene-regulatory-networkInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network' .github/skills/tf-target-gene-regulatory-network && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tf-target-gene-regulatory-network" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-network into .github/skills/tf-target-gene-regulatory-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tf-target-gene-regulatory-network", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills tf-target-gene-regulatory-network --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network' .opencode/skills/tf-target-gene-regulatory-network && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tf-target-gene-regulatory-network" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/tf-target-gene-regulatory-network into .opencode/skills/tf-target-gene-regulatory-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tf-target-gene-regulatory-network", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tf-target-gene-regulatory-network- GitHub stars
- 1.9k
- Token cost
- ~2.6k tokens
- SKILL.md length
- 985 words
- Files
- 61 (incl. scripts, references)
- Skills in repo
- 578
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when analyzing transcription factor (TF) regulatory networks using Dorothea database.
- Works in 4 steps: Load Database → Identify Regulating TFs → Generate Network Data → …
- Analyzing transcription factor (TF) regulatory networks using Dorothea database
- SKILL.md covers When to Use, When Not to Use, Input Validation and Entry Point, plus 9 more sections
- Runs R scripts from its folder
What it does
Tf Target Gene Regulatory Network is an agent skill from aipoch/medical-research-skills. Use when analyzing transcription factor (TF) regulatory networks using Dorothea database. Input gene list, identify regulating transcription factors, generate TF-Target network visualization. For: transcription factor enrichment analysis, gene regulatory network research.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 65 other files, including scripts and reference files (for example `eval_report_tf-target-gene-regulatory-network_result.json`, `references/algorithm.md` and `references/cli-guide.md`).
It sits in Media & Creative, covering Transcription. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
When your agent uses it
- Analyzing transcription factor (TF) regulatory networks using Dorothea database
- Tasks that involve Transcription
Example prompts
- “/tf-target-gene-regulatory-network”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (R, from the files we listed), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tf Target Gene Regulatory Network loads about 2.6k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 985 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 985 words, ~2,594 tokens.
Download SKILL.mdSave it as
.claude/skills/tf-target-gene-regulatory-network/SKILL.md (or your agent's skills folder). This skill also uses 60 other files; get the full folder from GitHub.- name
- tf-target-gene-regulatory-network
- description
- Use when analyzing transcription factor (TF) regulatory networks using Dorothea database. Input gene list, identify regulating transcription factors, generate TF-Target network visualization. For: transcription factor enrichment analysis, gene regulatory network research.
- license
- MIT
- skill-author
- AIPOCH
Transcription Factor (TF) Regulatory Network Analysis
When to Use
- Use this skill when you have a human or mouse gene list and want to identify upstream TFs from the Dorothea database.
- Use it when you need a ready-to-export TF-target network table plus a publication-ready PDF network plot.
- Use it for reproducible CLI execution with saved session information and optional local Dorothea
.rdsdatabases.
When Not to Use
- Do not use this skill for differential expression, pathway enrichment, cell type annotation, or survival analysis.
- Do not use it to infer causal direction beyond curated Dorothea TF-target relationships.
- Do not use it when your input genes are aliases or mixed-species symbols that have not been normalized first.
Input Validation
This skill accepts: a human or mouse gene list (HGNC symbols for human, first-letter-uppercase for mouse) for TF regulatory network analysis using Dorothea.
If the user's request does not involve identifying upstream transcription factors from a gene list — for example, asking to run differential expression, pathway enrichment, cell type annotation, or multi-omics integration — do not proceed with the workflow. Instead respond:
"tf-target-gene-regulatory-network is designed to identify upstream transcription factors from a gene list using the Dorothea database and generate a TF-target network visualization. Your request appears to be outside this scope. Please provide a gene list for TF regulatory analysis, or use a more appropriate tool for your task."
Entry Point
- Primary CLI entry point:
scripts/main.R - Canonical visualization values: English tokens
fr,curve,diamond,triangle,square
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md | Statistical methods, Dorothea database, network analysis algorithms |
| Need to run analysis | scripts/main.R | Execute: Rscript scripts/main.R --gene ... --species ... |
| Encounter errors | references/troubleshooting.md | Common errors and solutions |
| Need CLI examples | references/cli-guide.md | Detailed CLI usage examples |
| Need test data | tests/data/ | Sample gene lists for testing |
Installation
R Package Dependencies
# CRAN packages
install.packages(c("optparse", "dplyr", "openxlsx", "tidyverse", "tidygraph", "ggraph", "showtext"))
# Bioconductor packages (optional if using local database files)
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("dorothea")Local Database Files (Recommended)
For faster analysis and offline use, generate local database files:
Rscript database/database-get.RThis creates database/dorothea_hs.rds (human) and database/dorothea_mm.rds (mouse) in the skill root directory.
Verification
Rscript scripts/main.R --helpUsage
Rscript scripts/main.R \
--gene "TP53,MYC,EGFR" \
--species human \
--output_dir ./TF_Result \
--seed 42Arguments
Note: Either --gene or --gene_file must be provided (at least one is required).
| Short | Long | Type | Default | Description |
|---|---|---|---|---|
-g | --gene | character | NULL | Comma-separated gene list (e.g., "TP53,MYC,EGFR") — required if --gene_file not provided |
-f | --gene_file | character | NULL | File with gene names (txt or csv, one per line or comma-separated) — required if --gene not provided |
-s | --species | character | human | Species: human or mouse |
-o | --output_dir | character | TF_Result | Output directory name |
--db_path | character | NULL | Local .rds database file path. If not specified, auto-searches default paths | |
-d | --dir | character | NULL | Working root directory (advanced) |
--seed | integer | 42 | Random seed for reproducibility | |
--title | character | "" | Main plot title |
Visualization Parameters: For complete list (plot dimensions, colors, labels, layout, edge styles), see references/visualization-parameters.md. Canonical values are English tokens: fr (force-directed layout), curve (curved edges), diamond / triangle / square (node shapes).
Input Format
Gene List Input
Two ways to provide input genes:
- Command line:
--gene "TP53,MYC,EGFR"(comma-separated) - File input:
--gene_file genes.txt(one gene per line or comma-separated)
Gene Naming Convention
- Human genes: All uppercase symbols (e.g., TP53, MYC, EGFR)
- Mouse genes: First letter uppercase only (e.g., Tp53, Myc, Egfr)
- Use official gene symbols, not aliases
- Case-sensitive for species matching
Species Support
human: Human genes (Homo sapiens)mouse: Mouse genes (Mus musculus)
Performance Guidance
For large gene lists (> 500 genes), Dorothea database queries may take several minutes. Use a local .rds database (--db_path) for substantially faster lookups. There is currently no --timeout_seconds parameter; monitor progress with verbose logging if available.
Show full SKILL.md (412 more words)Show less
Output Files
| File | Description |
|---|---|
TF_Network_Plot.pdf | TF-target network visualization |
tf_network.xlsx | Network data (edges and nodes worksheets) |
TF_Target_Filtered_Core_<species>.xlsx | Complete TF-target relationships table |
session_info.txt | R session and package version info |
tf.Rdata | R environment data |
Outputs are organized under TF_Result/ in data/, plot/, and table/ subdirectories.
Workflow
Step 1: Load Database
- Priority search for local database files (.rds format) in:
--db_path,getwd()/database/,script_dir/database/,dirname(script_dir)/database/ - If no local file found, load from Dorothea R package
- Filter for high-confidence interactions (confidence levels A, B, C)
Step 2: Identify Regulating TFs
- Match input genes against target genes in Dorothea database
- Extract transcription factors regulating these targets
- Compute TF frequency (number of targets regulated)
Step 3: Generate Network Data
- Create edge list (TF → Target relationships)
- Create node list with types (TF or Target)
- Save to Excel format for downstream analysis
Step 4: Visualize Network
- Generate network graph using tidygraph and ggraph
- Apply visual customization (layout, colors, shapes)
- Save as PDF publication-ready figure
Methods
Dorothea Database
- Curated database of TF-target interactions
- Confidence levels: A (high), B (medium), C (low)
- Includes human and mouse data
- Source: https://github.com/saezlab/dorothea
Network Analysis
- Graph construction: TF-target relationships as directed edges
- Layout algorithms: Multiple options including
fr(force-directed),circle,grid,sphere - Visual customization: Full control over colors, shapes, sizes
Local Database Feature
- Option to use pre-saved
.rdsfiles for faster analysis and offline use - Priority search paths for local database files (see Step 1 above)
- Fallback to Dorothea R package if no local file found
Examples
Basic Usage (Human Genes)
Rscript scripts/main.R \
-g "TP53,MYC,EGFR" \
-s human \
-o ./TF_ResultFile Input
Rscript scripts/main.R \
-f gene_list.txt \
-s human \
-o ./TF_ResultMouse Genes
Rscript scripts/main.R \
-g "Tp53,Myc,Egfr" \
-s mouse \
-o ./Mouse_TF_ResultCustom Styling
Rscript scripts/main.R \
-g "PTPRC,FOXP3,CD4" \
-s human \
--style_layout "fr" \
--style_line "curve" \
--point_shape "diamond,triangle" \
--line_color "#E64B35" \
--title "Immune TF Network" \
-o ./Custom_PlotUsing Local Database
Rscript scripts/main.R \
-g "TP53,MYC,EGFR" \
-s human \
--db_path database/dorothea_hs.rds \
-o ./LocalDB_ResultError Handling
Common Errors
| Error Code | Cause | Solution |
|---|---|---|
SKILL_FILE_NOT_FOUND | Input gene file does not exist | Check file path and permissions |
SKILL_NO_INPUT_GENES | Empty gene list or file | Provide genes using --gene or --gene_file |
SKILL_INVALID_SPECIES | Species not human or mouse | Use human or mouse only |
SKILL_INVALID_PARAMETER | Invalid layout, shape, line, or legend value | Use supported values shown by Rscript scripts/main.R --help |
SKILL_EMPTY_RESULTS | No TF-target relationships found for input genes | Check gene symbols and species; try broadening confidence levels |
SKILL_DEPENDENCY_MISSING | Missing dplyr, dorothea, tidygraph, etc. | Install missing packages (see Installation section) |
Exit Status Codes
| Code | Meaning |
|---|---|
0 | Success |
1 | Execution error (see error code for details) |
2 | SKILL_EMPTY_RESULTS — no TF-target matches found for the input genes |
IF error persists, READ: references/troubleshooting.md
Testing
Test with Sample Data
# Check help
Rscript scripts/main.R --help
# Run with sample human genes
Rscript scripts/main.R \
-g "TP53,MYC,EGFR" \
-s human \
-o tests/output_human/
# Run with sample mouse genes
Rscript scripts/main.R \
-g "Tp53,Myc,Egfr" \
-s mouse \
-o tests/output_mouse/After running, verify tests/output_human/plot/TF_Network_Plot.pdf and tests/output_human/table/tf_network.xlsx exist and are non-empty.
Reference Files
| File | Purpose |
|---|---|
references/algorithm.md | Statistical methods and Dorothea database details |
references/troubleshooting.md | Common errors and solutions |
references/cli-guide.md | CLI usage examples |
references/visualization-parameters.md | Complete visualization parameter list |
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 60 other files (scripts, references) in awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network of aipoch/medical-research-skills.
- SKILL.md
- DESCRIPTION
- database/database-get.R
- database/dorothea_hs.rds
- database/dorothea_mm.rds
- eval_report_tf-target-gene-regulatory-network_result.json
- references/algorithm.md
- references/cli-guide.md
- references/troubleshooting.md
- references/visualization-parameters.md
- scripts/functions.R
- scripts/main.R
- scripts/run_analysis.R
- scripts/utils.R
- scripts/visualization.R
- tests/audit_v2_case_aliases/data
- … and 45 more
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Tf Target Gene Regulatory Network next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
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| Tf Target Gene Regulatory Network this skillaipoch/medical-research-skills | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.6k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Edu Chem Videowy51ai/edulab | 1.4k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Transcription Memory ReconstructionNxcoreAI/EverRoom | 3k | — | ~714 | Automated safety check: Pass | Custom licence | |
| Edu Math Videowy51ai/edulab | 1.4k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 |
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Questions about Tf Target Gene Regulatory Network
What does Tf Target Gene Regulatory Network do?
A skill your agent uses when analyzing transcription factor (TF) regulatory networks using Dorothea database. Tf Target Gene Regulatory Network is an agent skill from aipoch/medical-research-skills. Use when analyzing transcription factor (TF) regulatory networks using Dorothea database.
When should I use Tf Target Gene Regulatory Network?
Tf Target Gene Regulatory Network fits situations like: analyzing transcription factor (TF) regulatory networks using Dorothea database; tasks that involve Transcription.
How do I install Tf Target Gene Regulatory Network in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network in aipoch/medical-research-skills) into .claude/skills/tf-target-gene-regulatory-network in your project. Claude Code loads it when a task matches its description.
How do I install Tf Target Gene Regulatory Network in Codex?
Run `npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a codex`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/tf-target-gene-regulatory-network in aipoch/medical-research-skills) into .agents/skills/tf-target-gene-regulatory-network in your project. Codex loads it when a task matches its description.
Can I use Tf Target Gene Regulatory Network in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill tf-target-gene-regulatory-network -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tf-target-gene-regulatory-network, .gemini/skills/tf-target-gene-regulatory-network, .github/skills/tf-target-gene-regulatory-network and .opencode/skills/tf-target-gene-regulatory-network in your project.
What does Tf Target Gene Regulatory Network need to run?
Going by SKILL.md and its folder, Tf Target Gene Regulatory Network needs R for the scripts in its folder.
Does Tf Target Gene Regulatory Network access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Tf Target Gene Regulatory Network safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Tf Target Gene Regulatory Network use?
Tf Target Gene Regulatory Network is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tf Target Gene Regulatory Network use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.4k tokens, read only when the agent opens those files.
What are the alternatives to Tf Target Gene Regulatory Network?
Skills that share tags, products or a category with Tf Target Gene Regulatory Network: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tf Target Gene Regulatory Network?
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.