Dbsnp Database
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.
Load when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference.
$ npx skills add TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TianGzlab/OmicsClaw bulkrna-deconvolution --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/TianGzlab/OmicsClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bulkrna/bulkrna-deconvolution .claude/skills/bulkrna-deconvolution && 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 "bulkrna-deconvolution" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolution into .claude/skills/bulkrna-deconvolution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bulkrna-deconvolution", 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/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolutionType 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 TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TianGzlab/OmicsClaw bulkrna-deconvolution --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TianGzlab/OmicsClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bulkrna/bulkrna-deconvolution .agents/skills/bulkrna-deconvolution && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bulkrna-deconvolution" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolution into .agents/skills/bulkrna-deconvolution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bulkrna-deconvolution", 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 TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TianGzlab/OmicsClaw bulkrna-deconvolution --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TianGzlab/OmicsClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bulkrna/bulkrna-deconvolution .cursor/skills/bulkrna-deconvolution && 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 "bulkrna-deconvolution" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolution into .cursor/skills/bulkrna-deconvolution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bulkrna-deconvolution", 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/TianGzlab/OmicsClaw.git --path skills/bulkrna/bulkrna-deconvolution--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 TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TianGzlab/OmicsClaw bulkrna-deconvolution --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TianGzlab/OmicsClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bulkrna/bulkrna-deconvolution .gemini/skills/bulkrna-deconvolution && 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 "bulkrna-deconvolution" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolution into .gemini/skills/bulkrna-deconvolution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bulkrna-deconvolution", 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 TianGzlab/OmicsClaw bulkrna-deconvolutionInstalls 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 TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TianGzlab/OmicsClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bulkrna/bulkrna-deconvolution .github/skills/bulkrna-deconvolution && 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 "bulkrna-deconvolution" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolution into .github/skills/bulkrna-deconvolution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bulkrna-deconvolution", 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 TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TianGzlab/OmicsClaw bulkrna-deconvolution --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TianGzlab/OmicsClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bulkrna/bulkrna-deconvolution .opencode/skills/bulkrna-deconvolution && 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 "bulkrna-deconvolution" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/bulkrna/bulkrna-deconvolution into .opencode/skills/bulkrna-deconvolution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bulkrna-deconvolution", 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.
bulkrna-deconvolutionLoad when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference.
Bulkrna Deconvolution is an agent skill from TianGzlab/OmicsClaw. Load when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference. Skip when the data is already single-cell (no deconvolution needed); spatial deconvolution (use spatial-deconv).
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `_api.py`, `bulkrna_deconvolution.py` and `examples/example_step.py`).
It sits in Research & Science, covering Bioinformatics. The repository describes itself as: Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 90a3bec. 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.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom 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.
Bulkrna Deconvolution loads about 757 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 207 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 TianGzlab/OmicsClaw at commit 90a3bec, republished under its Apache-2.0 licence (© TianGzlab). 207 words, ~757 tokens.
.claude/skills/bulkrna-deconvolution/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Estimate bulk cell-type proportions with an explicit signature matrix. See the description for adjacent skills.
from skills._sdk.notebook import load_skill, read_input, write_output
library = load_skill("bulkrna-deconvolution")
# Supply DataFrames read with read_input(..., reader=...) for your CSV layout.
result = library.deconvolve(counts, signature=signature)
write_output(result, "tables/result.csv")The synthetic worked step is in examples/example_step.py.
<!-- api:begin generated from _api.py; regenerate with run.py api <skill dir> --write -->
deconvolve(counts, *, signature)Estimate sample proportions without changing either input.
:param counts: Nonnegative gene-by-sample expression DataFrame. :param signature: Required gene-by-cell-type reference, matching the CLI --reference. :returns: Sample-by-cell-type DataFrame; diagnostics contain residuals and shared genes. :raises ValueError: Matrices have invalid values, duplicate labels or no shared genes.
run_info(result, *, keep=True)Read reference overlap and reconstruction diagnostics.
:param result: DataFrame returned by deconvolve. :param keep: Default True; False removes diagnostics from attrs. :returns: Diagnostic dictionary, empty after removal.
proportions_figure(result)Plot estimated cell-type proportions per sample.
:param result: Sample-by-cell-type DataFrame from deconvolve. :returns: A matplotlib Figure, without writing files. :raises ValueError: The table cannot be plotted as numeric proportions.
<!-- api:end -->
See parameters and methodology.
deconvolve requires shared gene identifiers and nonnegative matrices.run_info()['residuals'] measures fit to the supplied reference, not confidence intervals.deconvolve does not call CIBERSORTx or MuSiC.The library returns objects without file writes. CLI inventory:
Inputs
.csvOutputs
tables/dominant_types.csvtables/proportions.csvfigures/mean_proportions_pie.pngfigures/proportions_heatmap.pngfigures/proportions_stacked.pngreport.mdresult.jsonpython skills/bulkrna/bulkrna-deconvolution/bulkrna_deconvolution.py --demo --output /tmp/bulkrna-deconvolutionmatplotlib, numpy, pandas, scipy
© TianGzlab, Apache-2.0. 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 9 other files (references) in skills/bulkrna/bulkrna-deconvolution of TianGzlab/OmicsClaw.
Open the folder on GitHubat commit 90a3bec
Bulkrna Deconvolution 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 |
|---|---|---|---|---|---|---|
| Bulkrna Deconvolution this skillTianGzlab/OmicsClaw | 161 | — | ~757 | Automated safety check: Pass | Apache-2.0 | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 3 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw | 15k | — | ~923 | Automated safety check: Pass | MIT |
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
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.
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
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
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.
xuzhougeng/wisp-science
A skill your agent uses when designing, reviewing, or implementing single-cell RNA-seq QC in Python or R with a human-in-the-loop, data-driven approach.
TianGzlab/OmicsClaw
Load when comparing gene expression between two conditions in bulk RNA-seq count data.
TianGzlab/OmicsClaw
Load when the user needs Deterministic fixed-period 24-hour single-component cosinor OLS rhythm analysis for a bulk RNA time-course CSV.
TianGzlab/OmicsClaw
Load when checking a bulk RNA-seq count matrix for library-size outliers, gene detection rates, and sample-sample correlation before DE.
TianGzlab/OmicsClaw
Load when checking raw single-cell FASTQ read quality (Phred / GC / adapter / length) before counting.
TianGzlab/OmicsClaw
Load when removing low-quality cells and lowly-detected genes from a single-cell AnnData using QC-derived thresholds or tissue presets.
TianGzlab/OmicsClaw
Load when ranking cluster-level marker genes from a clustered single-cell AnnData via Scanpy Wilcoxon / t-test / logreg or COSG specificity.
Categories
Load when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference. Bulkrna Deconvolution is an agent skill from TianGzlab/OmicsClaw. Load when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference.
Bulkrna Deconvolution fits situations like: tasks that involve Bioinformatics.
Run `npx skills add TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a claude-code`. Or copy the skill folder (skills/bulkrna/bulkrna-deconvolution in TianGzlab/OmicsClaw) into .claude/skills/bulkrna-deconvolution in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a codex`. Or copy the skill folder (skills/bulkrna/bulkrna-deconvolution in TianGzlab/OmicsClaw) into .agents/skills/bulkrna-deconvolution 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 TianGzlab/OmicsClaw --skill bulkrna-deconvolution -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bulkrna-deconvolution, .gemini/skills/bulkrna-deconvolution, .github/skills/bulkrna-deconvolution and .opencode/skills/bulkrna-deconvolution in your project.
Going by SKILL.md and its folder, Bulkrna Deconvolution needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
Bulkrna Deconvolution is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 757 tokens (SKILL.md is roughly 3k 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 1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Bulkrna Deconvolution: Dbsnp Database (google-deepmind/science-skills, 3.2k stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
TianGzlab (a GitHub organization) maintains it in TianGzlab/OmicsClaw, which has 161 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on October 7, 2026.
Source: TianGzlab/OmicsClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.