help
Skill204 starsChanged 4 months agoMITView on GitHub
Entry point for the MedImageInsight plugin, covering the getting-started walkthrough, how the skills work, what MI2 is, and troubleshooting.
Files
help
Locating plugin files. This skill lives at skills/help/. Resolve all asset paths as absolute paths from this skill's own directory. Reference docs are in references/, a sibling of this file. MCP server source is at ../../mcp-server/. Do NOT rely on the CLAUDE_PLUGIN_ROOT environment variable; it is not reliable in all environments.
Tool-ID note. Some agent hosts shorten the server name to medimageinsig in tool IDs. The four registered tools are:
mcp_medimageinsig_zeroshot_classifymcp_medimageinsig_adapter_classifymcp_medimageinsig_setupmcp_medimageinsig_zeroshot_label_examples
Behavior
Blank invoke, or "what does this do"
Print the following block, then wait for the user to pick a number:
This plugin gives an agent grounded chest X-ray reading. It wires MedImageInsight (a domain vision model) to the Radiology Assistant agent through MCP tools. The agent calls MI2 to classify findings from an image, then drafts a structured radiologist report. Reports are research and educational examples only, not for clinical use.
What would you like to do?
- Walk me through a first report
- How the skills work
- More about MedImageInsight
- Help and testing
Freeform invoke
Skip the menu. Classify the request and load the matching reference file as an absolute path from this skill's own directory, then follow its instructions.
| If the user mentions... | Load |
| error, not working, broken, slow, mcp, tools don't appear | references/troubleshooting.md |
| how do the skills work, skill architecture, why skills | references/skills.md |
| about, what is mi2, what is medimageinsight, model, adapter | references/about.md |
| walk me through, walkthrough, getting started, first report, tutorial | references/walkthrough-agent.md |
Menu items map to the same files:
references/walkthrough-agent.mdreferences/skills.mdreferences/about.mdreferences/troubleshooting.md
Other versions70 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 70
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
- parcadei/Continuous-Claude-v3★ 3.9ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- indranilbanerjee/digital-marketing-pro★ 873same name
- waynesutton/markdown-site★ 628same name
- bitwize-music-studio/claude-ai-music-skills★ 589same name
- andrew-shwetzer/career-ops-plugin★ 501same name
- andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-★ 500same name
60 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use create-stories, story-done and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
lilangMaxSkillcreate-stories
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
Also in 9 projects that use this
lilangMaxSkillstory-done
End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.
Also in 9 projects that use this
- +10 more from lilangMax
In this repository3 other files it gives its agents.
- ground-adapterSkill
- ground-zeroshotSkill
- write-reportSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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