Indication Dossier

Indication Dossier is an AI Engineering skill for Claude Code, published by xuzhougeng in wisp-science.

1K stars106 forkson xuzhougeng/wisp-scienceAdded 2026/08/21+1% in starsRepository updated 2026/08/21

agent-skillsai-agentai-assistantai-for-scienceai4sciencebioinformaticscomputational-biologydesktop-appllmlocal-firstmcpmodel-context-protocolpythonreproducible-researchresearch-assistantrstatsrustscientific-computingscientific-workflowtauri

Install in seconds

Install Indication Dossier

Copy Indication Dossier into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/xuzhougeng/wisp-science/tree/main/skills/indication-dossier ~/.claude/skills/indication-dossier

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xuzhougeng/wisp-science.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/indication-dossier/SKILL.md in xuzhougeng/wisp-science
Installs to: ~/.claude/skills/indication-dossier
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Indication Dossier does

Indication Dossier builds a sourced research report for one therapeutic population, covering definition, epidemiology, biology, standard of care, regulation, and landmark trials. Use it for indication overviews, disease landscape reviews, or trial-design background.

Indication Dossier is cataloged under AI Engineering on DirSkills. Indication Dossier comes from a repository tagged agent-skills, ai-agent, ai-assistant, ai-for-science and ai4science.

Documentation

README

Excerpt

Indication dossier

Five research phases, each writing one waypoint JSON under <workdir>/waypoints/, ending in a cited Markdown report. Waypoints make the run resumable: a later invocation reads which files exist and continues from the first missing one. The only pause for user input is after Phase 1.

The framing rule

Treat the indication as a patient population, not a disease entry. Every section answers a population question — who are these patients, how are they identified and managed, which trials would help them — rather than a textbook question about the condition. Nesting is population nesting: everyone in the child indication is in the parent.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Indication Dossier

What else does xuzhougeng publish alongside Indication Dossier?
Indication Dossier is one of 25 skills that DirSkills catalogs from xuzhougeng/wisp-science, the repository it ships in. Its siblings there include Agent Infini, Bear Counter and Bear Map. Each one is a separate skill with its own page in this directory, installs the same way Indication Dossier does, and is maintained by xuzhougeng in that same repository. The rest of the collection is listed on the xuzhougeng/wisp-science page.
How does Indication Dossier compare to other AI Engineering skills?
Indication Dossier ranks #1360 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Indication Dossier against them. Open each page to compare what they document and how they install.