Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
$ npx skills add xjtulyc/MedgeClaw --skill biomed-dispatch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjtulyc/MedgeClaw biomed-dispatch --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/xjtulyc/MedgeClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/biomed-dispatch .claude/skills/biomed-dispatch && 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 "biomed-dispatch" agent skill from https://github.com/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatch into .claude/skills/biomed-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biomed-dispatch", 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/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatchType 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 xjtulyc/MedgeClaw --skill biomed-dispatch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjtulyc/MedgeClaw biomed-dispatch --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjtulyc/MedgeClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/biomed-dispatch .agents/skills/biomed-dispatch && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "biomed-dispatch" agent skill from https://github.com/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatch into .agents/skills/biomed-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biomed-dispatch", 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 xjtulyc/MedgeClaw --skill biomed-dispatch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjtulyc/MedgeClaw biomed-dispatch --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjtulyc/MedgeClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/biomed-dispatch .cursor/skills/biomed-dispatch && 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 "biomed-dispatch" agent skill from https://github.com/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatch into .cursor/skills/biomed-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biomed-dispatch", 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/xjtulyc/MedgeClaw.git --path skills/biomed-dispatch--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 xjtulyc/MedgeClaw --skill biomed-dispatch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjtulyc/MedgeClaw biomed-dispatch --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjtulyc/MedgeClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/biomed-dispatch .gemini/skills/biomed-dispatch && 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 "biomed-dispatch" agent skill from https://github.com/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatch into .gemini/skills/biomed-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biomed-dispatch", 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 xjtulyc/MedgeClaw biomed-dispatchInstalls 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 xjtulyc/MedgeClaw --skill biomed-dispatch -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjtulyc/MedgeClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/biomed-dispatch .github/skills/biomed-dispatch && 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 "biomed-dispatch" agent skill from https://github.com/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatch into .github/skills/biomed-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biomed-dispatch", 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 xjtulyc/MedgeClaw --skill biomed-dispatch -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjtulyc/MedgeClaw biomed-dispatch --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjtulyc/MedgeClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/biomed-dispatch .opencode/skills/biomed-dispatch && 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 "biomed-dispatch" agent skill from https://github.com/xjtulyc/MedgeClaw/tree/main/skills/biomed-dispatch into .opencode/skills/biomed-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biomed-dispatch", 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.
biomed-dispatchRoutes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
This skill bridges a conversational interface and a scientific execution environment covering RNA-seq, single-cell RNA-seq, variant calling, molecular docking, virtual screening, ADMET prediction, survival analysis, clinical trial search, proteomics, metabolomics, pathway enrichment, DICOM processing, digital pathology, literature review and scientific writing. It identifies the task type, locates input data under a workspace data folder (asking the user if no path is given), and sets up a live dashboard by copying a dashboard template into a per-task folder with output and dashboard subfolders.
Long tasks with several stages, such as literature search, outline, body text, figures and PDF compilation, are split into separate Claude Code sessions, each doing one stage, because a single session running past about ten minutes tends to stall. Each session's prompt names the exact scientific skill file to read first, the input and output paths, and the dashboard state file to update after each step, with table data referenced by file path rather than inlined and image paths given as absolute paths.
Execution runs through the Claude Code CLI, preferably in stream-json mode with hooks, and progress is checked through the hooks' progress file, restarting a run if it stalls for more than five minutes.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fef51d3. 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.
Shell commands in SKILL.md call:
claudepythonuvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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.
Biomedical Analysis Dispatch loads about 2k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 396 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 396 words (~1,959 tokens).
“Bridge between the OpenClaw conversational interface and Claude Code's scientific execution environment (K-Dense Scientific Skills).”
Just SKILL.md in skills/biomed-dispatch of xjtulyc/MedgeClaw.
Open the folder on GitHubat commit fef51d3
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in xjtulyc/MedgeClaw, which our catalogue first saw on October 7, 2026.
Biomedical Analysis Dispatch 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 |
|---|---|---|---|---|---|---|
| Biomedical Analysis Dispatch this skillxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Hcls Build Agentaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~885 | Automated safety check: Pass | MIT-0 | |
| Hcls Get Startedaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~607 | Automated safety check: Pass | MIT-0 | |
| Tooluniverselamm-mit/scienceclaw | 246 | — | ~950 | Automated safety check: Pass | Apache-2.0 | |
| Drug Researchlamm-mit/scienceclaw | 246 | 3 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Genomics Variant Interpretationaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~1.5k | Automated safety check: Pass | MIT-0 |
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer wants to build a new healthcare or life sciences agent, structure tools and system prompts for an HCLS workflow, or create a Strands agent with…
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a developer asks how to get started building healthcare or life sciences agents, wants to understand the HCLS Agents Toolkit, or asks what's available in this repository.
lamm-mit/scienceclaw
Access 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when interpreting genomic variants from VCF files, performing clinical variant classification using ClinVar/VEP annotations, analyzing allele frequencies against population…
davila7/claude-code-templates
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis.
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
xjtulyc/MedgeClaw
Sends interactive Feishu group-chat cards that mix markdown text with uploaded chart or diagram images, for progress updates and analysis results.
xjtulyc/MedgeClaw
Detects a usable Chinese, Japanese or Korean font and configures matplotlib so chart labels, titles and legends render instead of showing empty boxes.
xjtulyc/MedgeClaw
Six-phase process for reproducing a published paper's results from provided data, from variable mapping and sample filtering through regression tables and a written report.
xjtulyc/MedgeClaw
Generate professional SVG UI panels for structured information display.
Categories
Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task. This skill bridges a conversational interface and a scientific execution environment covering RNA-seq, single-cell RNA-seq, variant calling, molecular docking, virtual screening, ADMET prediction, survival analysis, clinical trial search, proteomics, metabolomics, pathway enrichment, DICOM processing, digital pathology, literature review and scientific writing. It identifies the task type, locates input data under a workspace data folder (asking the user if no path is given), and sets up a live dashboard by copying a dashboard template into a per-task folder with output and dashboard subfolders.
Biomedical Analysis Dispatch fits situations like: running an RNA-seq, variant calling or other bioinformatics analysis from a chat request; dispatching a drug discovery task such as molecular docking or ADMET prediction; splitting a multi-stage scientific writing task into separate Claude Code sessions; setting up a live dashboard to track a long-running analysis.
Run `npx skills add xjtulyc/MedgeClaw --skill biomed-dispatch -a claude-code`. Or copy the skill folder (skills/biomed-dispatch in xjtulyc/MedgeClaw) into .claude/skills/biomed-dispatch in your project. Claude Code loads it when a task matches its description.
Run `npx skills add xjtulyc/MedgeClaw --skill biomed-dispatch -a codex`. Or copy the skill folder (skills/biomed-dispatch in xjtulyc/MedgeClaw) into .agents/skills/biomed-dispatch 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 xjtulyc/MedgeClaw --skill biomed-dispatch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/biomed-dispatch, .gemini/skills/biomed-dispatch, .github/skills/biomed-dispatch and .opencode/skills/biomed-dispatch in your project.
Going by SKILL.md and its folder, Biomedical Analysis Dispatch needs the command-line tools its instructions call (claude, python and uv). Our summary lists: The Claude Code CLI with K-Dense Scientific Skills installed; Data files under a workspace data directory.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. 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.
No licence was found for Biomedical Analysis Dispatch or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Biomedical Analysis Dispatch: Hcls Build Agent (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Hcls Get Started (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Tooluniverse (lamm-mit/scienceclaw, 246 stars) and Drug Research (lamm-mit/scienceclaw, 246 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
xjtulyc (a GitHub user) maintains it in xjtulyc/MedgeClaw, which has 617 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on March 12, 2026.
Source: xjtulyc/MedgeClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
