feat(v3): Tier 0 polish — CITATION.cff, Zenodo workflow, clinician setup onboarding#12
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…ding, scope-out section Internal polish before external promotion to awesome-claude-code, OpenClaw, and Anthropic DevRel. Addresses four blockers identified in the 2026-05-13 audit vs K-Dense scientific-agent-skills (20.8k stars) and OpenClaw Medical Skills (2.5k stars): 1. Academic backlink — CITATION.cff (cff-version 1.2.0) + .zenodo.json. DOI populates after first Zenodo archive of a tagged release. 2. Release automation — .github/workflows/release.yml on v* tag push: builds classroom ZIPs via scripts/build_classroom_release.py, creates GitHub Release with notes from CHANGELOG, attaches ZIPs. Zenodo integration auto-archives once enabled at https://zenodo.org/account/settings/github/ 3. Clinician onboarding — five-doc guide at docs/setup/ + new setup-medsci skill (diagnostic-only, runs which/uname/claude mcp list, prints checklist with status and links to setup doc per missing component). Intentionally read-only — no install logic. 4. Scope clarity — README "What This Is NOT" section explicitly defers broad scientific tooling to K-Dense and biomedical aggregation to OpenClaw, positioning medsci-skills as the opinionated medical manuscript pipeline. Also: README "Setup" section linking the new docs, citation badge, and DOI badge placeholder. CHANGELOG.md unreleased entry. GitHub topics swapped 4 generic for 4 specific (agent-skills, tripod-ai, irb-protocol, physician-researcher) to stay within the 20-topic cap. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
Internal polish before external promotion to awesome-claude-code (re-submission, prior #1389/#1518), OpenClaw aggregator, and Anthropic DevRel. Addresses four blockers identified in the 2026-05-13 audit vs K-Dense scientific-agent-skills (20.8k stars) and OpenClaw Medical Skills (2.5k stars).
What changed
Why now
Doctor users coming via Show HN / awesome-claude-code re-submission need to (a) verify the project is academically citable and (b) install Python/R/Claude Code without bouncing. The `docs/setup/` guide and `setup-medsci` skill close the largest onboarding hole identified in user feedback this cycle.
Test plan
🤖 Generated with Claude Code