Biomedical Analysis Dispatch
xjtulyc/MedgeClaw
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.
Official agent skill
by aws-samples in 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.
$ npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences hcls-get-started --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/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hcls-get-started .claude/skills/hcls-get-started && 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 "hcls-get-started" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-started into .claude/skills/hcls-get-started/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hcls-get-started", 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/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-startedType 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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences hcls-get-started --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hcls-get-started .agents/skills/hcls-get-started && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hcls-get-started" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-started into .agents/skills/hcls-get-started/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hcls-get-started", 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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences hcls-get-started --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hcls-get-started .cursor/skills/hcls-get-started && 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 "hcls-get-started" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-started into .cursor/skills/hcls-get-started/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hcls-get-started", 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/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git --path skills/hcls-get-started--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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences hcls-get-started --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hcls-get-started .gemini/skills/hcls-get-started && 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 "hcls-get-started" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-started into .gemini/skills/hcls-get-started/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hcls-get-started", 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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences hcls-get-startedInstalls 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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hcls-get-started .github/skills/hcls-get-started && 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 "hcls-get-started" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-started into .github/skills/hcls-get-started/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hcls-get-started", 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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws-samples/amazon-bedrock-agents-healthcare-lifesciences hcls-get-started --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hcls-get-started .opencode/skills/hcls-get-started && 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 "hcls-get-started" agent skill from https://github.com/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/tree/main/skills/hcls-get-started into .opencode/skills/hcls-get-started/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hcls-get-started", 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.
hcls-get-startedA 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.
Hcls Get Started is an agent skill from aws-samples/amazon-bedrock-agents-healthcare-lifesciences, published by the product's own GitHub organization. Use 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. Also use when someone asks about genomics, drug discovery, clinical trials, or biomarker agents on AWS.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files.
It sits in Research & Science, covering Clinical and healthcare research, Drug discovery and cheminformatics and Bioinformatics. It works with Amazon Web Services and Model Context Protocol. The licence is MIT-0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9960565. 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 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comdocs.aws.amazon.comFrom 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.
Hcls Get Started loads about 607 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 235 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); the scripts in this folder are not scanned.
The full file from aws-samples/amazon-bedrock-agents-healthcare-lifesciences at commit 9960565, republished under its MIT-0 licence (© aws-samples). 235 words, ~607 tokens.
.claude/skills/hcls-get-started/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.The HCLS Agents Toolkit provides three types of resources:
skills/)mcp-servers/)agents_catalog/)| Goal | Start here |
|---|---|
| Build a new HCLS agent from scratch | Use hcls-build-agent skill + agentcore_template/ |
| Deploy an existing catalog agent | Pick from agents_catalog/, follow its README |
| Connect domain tools to your IDE | Configure MCP servers from mcp-servers/ |
| Run HCLS workflows without deploying | Use skills + MCP servers directly in your assistant |
Agents are composed from:
agents_catalog/ (36+ agents across genomics, drug discovery, clinical trials, etc.)agentcore_template/ (backend) or FAST (full-stack)mcp-servers/aws-public/ and mcp-servers/third-party/)hcls-build-agent skill when ready to build a custom agenthcls-deploy-agent skill when ready to deploy to production© aws-samples, MIT-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 2 other files (scripts, references) in skills/hcls-get-started of aws-samples/amazon-bedrock-agents-healthcare-lifesciences.
Open the folder on GitHubat commit 9960565
Hcls Get Started 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 |
|---|---|---|---|---|---|---|
| Hcls Get Started this skillaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~607 | Automated safety check: Pass | MIT-0 | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Tooluniverseynulihao/AgentSkillOS | 617 | 3 repos | ~2.5k | Automated safety check: Pass | None | |
| Tooluniverselamm-mit/scienceclaw | 244 | — | ~950 | Automated safety check: Pass | Apache-2.0 | |
| Bio Workflow Management Nf Core PipelinesGPTomics/bioSkills | 1.2k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| AWS Storageaws/agent-toolkit-for-aws | 2.8k | — | ~5.8k | Automated safety check: Pass | Apache-2.0 |
xjtulyc/MedgeClaw
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.
ynulihao/AgentSkillOS
A skill your agent uses when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery.
lamm-mit/scienceclaw
Access 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more
GPTomics/bioSkills
Runs and configures curated nf-core community Nextflow pipelines (rnaseq, sarek, atacseq, methylseq, ampliseq, taxprofiler, fetchngs) reproducibly, pinning the pipeline revision with -r and…
aws/agent-toolkit-for-aws
Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services.
exon-research/genomi
A skill your agent uses for genetics, genome source, variant, gene, phenotype, disease, screen, pharmacogenomics, and Genomi install/setup maintenance questions.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when a researcher needs to query biomedical databases for biomarker discovery, build target profiles from UniProt/Open Targets/STRING, rank biomarker candidates by evidence…
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…
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 wants to deploy an HCLS agent to Amazon Bedrock AgentCore, configure Gateway tools as MCP endpoints, set up authentication with Cognito, configure memory, or…
Categories
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. Hcls Get Started is an agent skill from aws-samples/amazon-bedrock-agents-healthcare-lifesciences, published by the product's own GitHub organization. Use 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.
Hcls Get Started fits situations like: A developer asks how to get started building healthcare; life sciences agents; wants to understand the HCLS Agents Toolkit; asks whats available in this repository.
Run `npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a claude-code`. Or copy the skill folder (skills/hcls-get-started in aws-samples/amazon-bedrock-agents-healthcare-lifesciences) into .claude/skills/hcls-get-started in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a codex`. Or copy the skill folder (skills/hcls-get-started in aws-samples/amazon-bedrock-agents-healthcare-lifesciences) into .agents/skills/hcls-get-started 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 aws-samples/amazon-bedrock-agents-healthcare-lifesciences --skill hcls-get-started -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hcls-get-started, .gemini/skills/hcls-get-started, .github/skills/hcls-get-started and .opencode/skills/hcls-get-started in your project.
SKILL.md names no scripts, command-line tools or credentials: Hcls Get Started is instructions for the agent only.
SKILL.md names 2 domains. As links in the text: github.com and docs.aws.amazon.com. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Hcls Get Started is published under the MIT-0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 607 tokens (SKILL.md is roughly 2.4k 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 Hcls Get Started: Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars), Tooluniverse (ynulihao/AgentSkillOS, 617 stars), Tooluniverse (lamm-mit/scienceclaw, 244 stars) and Bio Workflow Management Nf Core Pipelines (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/amazon-bedrock-agents-healthcare-lifesciences, which has 274 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 1, 2026.
Source: aws-samples/amazon-bedrock-agents-healthcare-lifesciences on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.