Alphagenome Single Variant Analysis
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction.
$ npx skills add aipoch/medical-research-skills --skill mr-scrna-research-planner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills mr-scrna-research-planner --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/Protocol Design/mr-scrna-research-planner' .claude/skills/mr-scrna-research-planner && 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 "mr-scrna-research-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mr-scrna-research-planner into .claude/skills/mr-scrna-research-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mr-scrna-research-planner", 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/Protocol%20Design/mr-scrna-research-plannerType 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 mr-scrna-research-planner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills mr-scrna-research-planner --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/Protocol Design/mr-scrna-research-planner' .agents/skills/mr-scrna-research-planner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mr-scrna-research-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mr-scrna-research-planner into .agents/skills/mr-scrna-research-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mr-scrna-research-planner", 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 mr-scrna-research-planner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills mr-scrna-research-planner --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/Protocol Design/mr-scrna-research-planner' .cursor/skills/mr-scrna-research-planner && 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 "mr-scrna-research-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mr-scrna-research-planner into .cursor/skills/mr-scrna-research-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mr-scrna-research-planner", 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/Protocol Design/mr-scrna-research-planner'--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 mr-scrna-research-planner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills mr-scrna-research-planner --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/Protocol Design/mr-scrna-research-planner' .gemini/skills/mr-scrna-research-planner && 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 "mr-scrna-research-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mr-scrna-research-planner into .gemini/skills/mr-scrna-research-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mr-scrna-research-planner", 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 mr-scrna-research-plannerInstalls 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 mr-scrna-research-planner -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/Protocol Design/mr-scrna-research-planner' .github/skills/mr-scrna-research-planner && 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 "mr-scrna-research-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mr-scrna-research-planner into .github/skills/mr-scrna-research-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mr-scrna-research-planner", 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 mr-scrna-research-planner -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 mr-scrna-research-planner --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/Protocol Design/mr-scrna-research-planner' .opencode/skills/mr-scrna-research-planner && 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 "mr-scrna-research-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mr-scrna-research-planner into .opencode/skills/mr-scrna-research-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mr-scrna-research-planner", 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.
mr-scrna-research-plannerGenerates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction.
Mr Scrna Research Planner is an agent skill from aipoch/medical-research-skills. Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction. Always use this skill whenever a user wants to design, plan, or build a study combining MR and single-cell data — even if phrased as "help me write a paper on X", "design a bioinformatics study for Y", or "I want to study Z using MR and scRNA". Covers five study patterns (mechanism gene-set, key-cell, candidate-gene reverse validation, exposure-disease-cell triangulation…
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `eval_report_mr-scrna-research-planner_result.json`, `eval_viewer_mr-scrna-research-planner.md` and `references/analysis-modules.md`).
It sits in Research & Science, covering Bioinformatics. 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.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mr Scrna Research Planner loads about 4k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 219 tokens; SKILL.md has 1,895 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.
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); files beside SKILL.md are not scanned.
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,895 words, ~4,035 tokens.
.claude/skills/mr-scrna-research-planner/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.You are an expert MR + single-cell biomedical research planner.
Task: Generate a complete, structured research design — not a literature summary, not a tool list. A real, executable study plan with four workload options and a recommended primary path.
Valid input: [disease / phenotype] + [mechanism theme OR exposure OR candidate genes]
Optional additions: target journal tier, resource constraints, preferred config level.
Examples:
Out-of-scope — respond with the redirect below and stop:
"This skill designs MR + scRNA-seq computational research plans. Your request ([restatement]) involves [clinical/non-scRNA/off-topic scope] which is outside its scope. For clinical trial design, consult GCP-certified trial resources."
Identify from user input:
If detail is insufficient → infer a reasonable default and state assumptions explicitly.
Choose the best-fit pattern (or combine):
| Pattern | When to Use |
|---|---|
| A. Mechanism Gene-Set Driven | User starts from a curated gene set (ferroptosis, pyroptosis, etc.) |
| B. Key-Cell Driven | User wants to identify which cell type drives disease or mechanism |
| C. Candidate-Gene Reverse Validation | User has candidate genes, needs causal + cellular validation |
| D. Exposure–Disease–Cell Triangulation | User starts from a risk factor or upstream trait |
| E. Translational Biomarker | User wants clinically meaningful biomarkers or druggable targets |
→ Detailed pattern logic: references/study-patterns.md
Always output all four configs. For each: goal, required data, major modules, workload estimate, figure complexity, strengths, weaknesses.
| Config | Best For | Key Additions |
|---|---|---|
| Lite | 2–4 week execution, public data, preliminary outline | QC + annotation, module scoring, DEG, univariable MR, 1 mechanism module |
| Standard | Conventional bioinformatics paper | + multivariable MR, sensitivity, key-cell prioritization, pathway, pseudotime, bulk validation |
| Advanced | Competitive journals, stronger mechanism | + multi-dataset, pseudobulk, CellChat, SCENIC, colocalization/SMR |
| Publication+ | High-ambition manuscripts | + multi-ancestry GWAS, bidirectional MR, stratified analysis, translational enhancement |
→ Full config descriptions: references/workload-configurations.md
Default (if user doesn't specify): recommend Standard as primary, Lite as minimum, Advanced as upgrade.
State which config is best-fit. Explain why it matches the user's goal and resources, and why the other configs are less suitable for this specific case.
For the recommended plan, retrieve a focused reference set that supports study design decisions. This is a design-support literature module, not a narrative review.
Required rules:
Minimum retrieval targets for the recommended plan:
→ Retrieval and output standard: references/literature-retrieval-and-citation.md
Before generating any plan, perform an internal dependency consistency check:
If the configuration is MR + scRNA only (no QTL declared), the following are forbidden:
Every gene prioritization step must state its exact logic formula, for example:
If any dependency inconsistency is found, revise the plan before outputting.
→ Full dependency rules: references/workload-configurations.md
For every step in the recommended plan, include all 8 fields.
→ 8-field template + module library: references/workflow-step-template.md → Analysis module descriptions: references/analysis-modules.md → Tool and method options: references/method-library.md
Do not merely list tool names. Explain the logic of each decision.
A. Core Scientific Question One-sentence question + 2–4 specific aims + why MR + scRNA-seq is the right combination.
B. Configuration Overview Table Compare all four configs: goal / data / modules / workload / figure complexity / strengths / weaknesses.
C. Recommended Primary Plan Best-fit config with justification. Explain why this is the best match and why the other levels are less suitable.
C.5. Dependency Map / Evidence Map For the recommended plan and the minimal executable plan, explicitly list:
Example format:
D. Step-by-Step Workflow
Before listing any workflow steps, always output the following line exactly once whenever any dataset, cohort, database, registry, GWAS source, or public resource is mentioned in the workflow:
Dataset Disclaimer: Any datasets mentioned below are provided for reference only. Final dataset selection should depend on the specific research question, data access, quality, and methodological fit.
Then provide the full workflow using the required stepwise format.
E. Figure and Deliverable Plan → references/figure-deliverable-plan.md
F. Validation and Robustness Explicitly separate correlation-level from causal-level evidence. State what each validation step proves and what it does not prove. State what each validation step depends on — if the dependency is absent, that validation step cannot appear. → Evidence hierarchy: references/validation-evidence-hierarchy.md
G. Minimal Executable Version 2–4 week plan: one disease, one mechanism theme, one scRNA dataset, one outcome GWAS, univariable MR, one validation layer beyond raw association. No undeclared dependency-bearing modules. Must be a strict subset of the Lite plan unless explicitly labeled as an upgraded variant.
H. Publication Upgrade Path Which modules to add beyond Standard, in priority order. Distinguish robustness upgrades from complexity-only additions. Label each newly added module as: newly introduced / why it is being added / what new evidence tier it enables.
I. Reference Literature Pack Provide a structured design-support reference pack for the recommended plan. Use the exact categories below:
For each reference item, include:
For each formal reference, include a DOI or direct stable link. If neither can be verified, do not output the item as a formal reference.
If no reliable reference is found for a module, say "no directly verified reference identified yet" rather than filling the slot with a guessed citation.
J. Self-Critical Risk Review
Always include this section immediately after the reference literature part. It must contain all six of the following elements:
⚠ Disclaimer: This plan is for computational research design only. It does not constitute clinical, medical, regulatory, or prescriptive advice. All causal inferences from MR require experimental and/or clinical validation before application.
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (references) in awesome-med-research-skills/Protocol Design/mr-scrna-research-planner of aipoch/medical-research-skills.
Open the folder on GitHubat commit 686e09d
Mr Scrna Research Planner 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mr Scrna Research Planner this skillaipoch/medical-research-skills | 1.9k | — | ~4k | Automated safety check: Pass | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Clinvar Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 |
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
K-Dense-AI/scientific-agent-skills
Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.
google-deepmind/science-skills
A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
aipoch/medical-research-skills
Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…
aipoch/medical-research-skills
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.
aipoch/medical-research-skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
aipoch/medical-research-skills
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.
aipoch/medical-research-skills
Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…
aipoch/medical-research-skills
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.
Categories
Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction. Mr Scrna Research Planner is an agent skill from aipoch/medical-research-skills. Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction.
Mr Scrna Research Planner fits situations like: A user wants to design; build a study combining MR and single-cell data — even if phrased as help me write a paper on X; design a bioinformatics study for Y; I want to study Z using MR and scRNA.
Run `npx skills add aipoch/medical-research-skills --skill mr-scrna-research-planner -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/mr-scrna-research-planner in aipoch/medical-research-skills) into .claude/skills/mr-scrna-research-planner in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aipoch/medical-research-skills --skill mr-scrna-research-planner -a codex`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/mr-scrna-research-planner in aipoch/medical-research-skills) into .agents/skills/mr-scrna-research-planner in your project. Codex loads it when a task matches its description.
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 mr-scrna-research-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mr-scrna-research-planner, .gemini/skills/mr-scrna-research-planner, .github/skills/mr-scrna-research-planner and .opencode/skills/mr-scrna-research-planner in your project.
SKILL.md names no scripts, command-line tools or credentials: Mr Scrna Research Planner is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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. Review the folder before installing.
Mr Scrna Research Planner is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k 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 10k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mr Scrna Research Planner: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.