Spatial Xenium
QING1105/ezST
Xenium platform branch of the spatial transcriptomics workflow — load and validate the platform's cell-level matrix for downstream analysis.
Load when ingesting a MaxQuant proteinGroups.txt, FragPipe combinedprotein.tsv, DIA-NN report, or generic CSV / TSV protein-quantification table — normalises columns to a standard schema, emits…
$ npx skills add TianGzlab/OmicsClaw --skill proteomics-data-import -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TianGzlab/OmicsClaw proteomics-data-import --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/proteomics/proteomics-data-import .claude/skills/proteomics-data-import && 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 "proteomics-data-import" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/proteomics/proteomics-data-import into .claude/skills/proteomics-data-import/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proteomics-data-import", 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/proteomics/proteomics-data-importType 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 proteomics-data-import -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TianGzlab/OmicsClaw proteomics-data-import --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/proteomics/proteomics-data-import .agents/skills/proteomics-data-import && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "proteomics-data-import" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/proteomics/proteomics-data-import into .agents/skills/proteomics-data-import/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proteomics-data-import", 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 proteomics-data-import -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TianGzlab/OmicsClaw proteomics-data-import --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/proteomics/proteomics-data-import .cursor/skills/proteomics-data-import && 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 "proteomics-data-import" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/proteomics/proteomics-data-import into .cursor/skills/proteomics-data-import/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proteomics-data-import", 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/proteomics/proteomics-data-import--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 proteomics-data-import -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TianGzlab/OmicsClaw proteomics-data-import --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/proteomics/proteomics-data-import .gemini/skills/proteomics-data-import && 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 "proteomics-data-import" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/proteomics/proteomics-data-import into .gemini/skills/proteomics-data-import/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proteomics-data-import", 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 proteomics-data-importInstalls 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 proteomics-data-import -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/proteomics/proteomics-data-import .github/skills/proteomics-data-import && 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 "proteomics-data-import" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/proteomics/proteomics-data-import into .github/skills/proteomics-data-import/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proteomics-data-import", 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 proteomics-data-import -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 proteomics-data-import --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/proteomics/proteomics-data-import .opencode/skills/proteomics-data-import && 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 "proteomics-data-import" agent skill from https://github.com/TianGzlab/OmicsClaw/tree/main/skills/proteomics/proteomics-data-import into .opencode/skills/proteomics-data-import/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proteomics-data-import", 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.
proteomics-data-importLoad when ingesting a MaxQuant proteinGroups.txt, FragPipe combinedprotein.tsv, DIA-NN report, or generic CSV / TSV protein-quantification table — normalises columns to a standard schema, emits…
Proteomics Data Import is an agent skill from TianGzlab/OmicsClaw. Load when ingesting a MaxQuant proteinGroups.txt, FragPipe combinedprotein.tsv, DIA-NN report, or generic CSV / TSV protein-quantification table — normalises columns to a standard schema, emits tables/proteins.csv. Skip when raw spectra are the input (run the search engine first); the file is already OmicsClaw schema.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `proteomics_data_import.py`, `references/methodology.md` and `references/output_contract.md`).
It sits in Research & Science, covering Bioinformatics and CSV and tabular files. 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 MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6fbd79f. 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.
Proteomics Data Import loads about 1.1k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 303 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 6fbd79f, republished under its MIT licence (© TianGzlab). 303 words, ~1,133 tokens.
.claude/skills/proteomics-data-import/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.The user has a search-engine output (MaxQuant proteinGroups.txt,
FragPipe combined_protein.tsv, DIA-NN main report, or a generic
CSV / TSV protein table) and wants it normalised into OmicsClaw's
standard schema (lowercase protein_id plus LFQ_<sample> /
Int_<sample> intensity columns derived from MaxQuant's
LFQ intensity ... / Intensity ... headers).
Pick the format with --format {maxquant,fragpipe,diann,generic}
(default maxquant).
For raw MS spectra (mzML / RAW), run a search engine first (MaxQuant / FragPipe / DIA-NN) and feed THIS skill the resulting table.
<!-- AUTO-GENERATED from skill.yaml (interface) — do not edit by hand. Regenerate: python scripts/generate_skill_md.py <skill_dir> -->
Inputs
.txt, .tsv, .csvOutputs
tables/proteins.csvreport.mdresult.json--input <file>) or generate a demo MaxQuant-shaped file (--demo).proteomics_data_import.py:164-174 _dispatch_import); supported keys are maxquant, fragpipe, diann, generic.LFQ intensity <sample> → LFQ_<sample> and Intensity <sample> → Int_<sample> (proteomics_data_import.py:85); Majority protein IDs → protein_id; Gene names → gene_name; etc.tables/proteins.csv (proteomics_data_import.py:284) + report.md + result.json (:299).--format value must match _dispatch_import keys exactly. proteomics_data_import.py:166-171 registers maxquant, fragpipe, diann, generic. An unknown value raises ValueError("Unsupported format: ... Supported: ['maxquant', 'fragpipe', 'diann', 'generic']") at :173. There is no spectronaut importer despite the legacy SKILL.md mention — use --format generic for Spectronaut and rename columns yourself.--input REQUIRED unless --demo. proteomics_data_import.py:275 raises ValueError("--input required when not using --demo"). Non-existent paths raise FileNotFoundError from pd.read_csv.protein_id, intensity_<sample>, gene_name etc. Downstream skills (proteomics-quantification, proteomics-de) assume this casing. Verify after import with head tables/proteins.csv.CON_*) and decoy (REV_*) rows are passed through unchanged. Filter them upstream with the search engine's --keep-contaminants false flag, or add a downstream df = df[~df["protein_id"].str.startswith(("CON_", "REV_"))] step.# Demo (synthetic MaxQuant-style)
python omicsclaw.py run proteomics-data-import --demo --output /tmp/import_demo
# Real MaxQuant output
python omicsclaw.py run proteomics-data-import \
--input proteinGroups.txt --output results/ --format maxquant
# FragPipe combined_protein
python omicsclaw.py run proteomics-data-import \
--input combined_protein.tsv --output results/ --format fragpipe
# DIA-NN main report
python omicsclaw.py run proteomics-data-import \
--input report.tsv --output results/ --format diann
# Generic / Spectronaut (rename columns yourself first)
python omicsclaw.py run proteomics-data-import \
--input my_table.csv --output results/ --format genericreferences/parameters.md — every CLI flagreferences/methodology.md — per-format column-mapping rulesreferences/output_contract.md — tables/proteins.csv schemaproteomics-ms-qc (downstream — QC the imported table), proteomics-quantification (downstream — compute LFQ / iBAQ / spectral count), proteomics-identification (parallel — peptide-level summary), proteomics-de (downstream — differential abundance after import)© TianGzlab, 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 5 other files (references) in skills/proteomics/proteomics-data-import of TianGzlab/OmicsClaw.
Open the folder on GitHubat commit 6fbd79f
Proteomics Data Import 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 |
|---|---|---|---|---|---|---|
| Proteomics Data Import this skillTianGzlab/OmicsClaw | 161 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Spatial XeniumQING1105/ezST | 101 | — | ~535 | Automated safety check: Pass | MIT | |
| Cerna Analysisaipoch/medical-research-skills | 2k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Plannotate Plasmid Annotationjaechang-hits/SciAgent-Skills | 370 | 1 repos | ~4.7k | Automated safety check: Pass | GPL-3.0 | |
| Vdjdb Extractantigenomics/vdjdb-db | 157 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Ukb Ppp Region FetchClawBio/ClawBio | 1.2k | — | ~4.6k | Automated safety check: Pass | MIT |
QING1105/ezST
Xenium platform branch of the spatial transcriptomics workflow — load and validate the platform's cell-level matrix for downstream analysis.
aipoch/medical-research-skills
A skill your agent uses when building a ceRNA regulatory network from a key gene list by combining bundled miRNA-mRNA and miRNA-lncRNA database files, with flat-file CSV exports and PDF…
jaechang-hits/SciAgent-Skills
Auto-annotate plasmids with features (promoters, terminators, resistance, origins, tags, fluorescent proteins) via BLAST against curated DBs (Addgene, fpbase, SnapGene).
antigenomics/vdjdb-db
Extract TCR:pMHC specificity records from raw submission sources - supplementary XLS/CSV tables, PDF manuscripts, 10x Genomics contig and clonotype files, AIRR Rearrangement TSVs, Adaptive ImmunoSEQ…
ClawBio/ClawBio
Fetch a regional slice of plasma pQTL summary statistics from the UK Biobank Pharma Proteomics Project (UKB-PPP; Sun 2023 Nature) for a specific (protein, ancestry) measurement.
wu-yc/LabClaw
Production-ready RNA-seq differential expression analysis using PyDESeq2.
TianGzlab/OmicsClaw
Load when removing batch effects from a multi-cohort bulk RNA-seq dataset using ComBat (R or Python implementation).
TianGzlab/OmicsClaw
Load when discovering gene co-expression modules and hub genes in a bulk RNA-seq cohort via WGCNA-style soft-thresholded networks.
TianGzlab/OmicsClaw
Load when comparing gene expression between two conditions in bulk RNA-seq count data.
TianGzlab/OmicsClaw
Load when estimating cell-type proportions in bulk RNA-seq samples from a single-cell or signature-matrix reference.
TianGzlab/OmicsClaw
Load when running pathway / GO term enrichment on a bulk RNA-seq DE result list.
TianGzlab/OmicsClaw
Load when converting gene identifiers between Ensembl, Entrez, and HGNC symbol in a bulk RNA-seq count matrix.
Categories
Load when ingesting a MaxQuant proteinGroups.txt, FragPipe combinedprotein.tsv, DIA-NN report, or generic CSV / TSV protein-quantification table — normalises columns to a standard schema, emits…. Proteomics Data Import is an agent skill from TianGzlab/OmicsClaw.csv.
Proteomics Data Import fits situations like: tasks that involve Bioinformatics; tasks that involve CSV and tabular files.
Run `npx skills add TianGzlab/OmicsClaw --skill proteomics-data-import -a claude-code`. Or copy the skill folder (skills/proteomics/proteomics-data-import in TianGzlab/OmicsClaw) into .claude/skills/proteomics-data-import in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TianGzlab/OmicsClaw --skill proteomics-data-import -a codex`. Or copy the skill folder (skills/proteomics/proteomics-data-import in TianGzlab/OmicsClaw) into .agents/skills/proteomics-data-import 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 proteomics-data-import -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/proteomics-data-import, .gemini/skills/proteomics-data-import, .github/skills/proteomics-data-import and .opencode/skills/proteomics-data-import in your project.
Going by SKILL.md and its folder, Proteomics Data Import 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.
Proteomics Data Import is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.5k 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 445 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Proteomics Data Import: Spatial Xenium (QING1105/ezST, 101 stars), Cerna Analysis (aipoch/medical-research-skills, 2k stars), Plannotate Plasmid Annotation (jaechang-hits/SciAgent-Skills, 370 stars) and Vdjdb Extract (antigenomics/vdjdb-db, 157 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 95 skills in this directory. The repository was last updated on July 28, 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.