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sample-target-identification-agent-using-kiro
Multi agent application for target identification using spec-driven development with Kiro. Implements AWS Bedrock AgentCore agents for pharmaceutical target research, accessing 30+ biomedical databases including PubMed, ChEMBL, ClinicalTrials.gov, and protein interaction databases from Biomni.
5stars
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Python
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest aws-samples/sample-target-identification-agent-using-kiroAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx sample-target-identification-agent-using-kiro
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"sample-target-identification-agent-using-kiro": {
"command": "uvx",
"args": [
"sample-target-identification-agent-using-kiro"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
sample-target-identification-agent-using-kiro — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt