blender-kiln
Claude Code plugin that turns a text brief or a photo into a production-ready 3D asset through Blender: rebuilt by script, textured from CC0 scans, graded against the real object, optimized to GLB/FBX
biomed-skill 的 14 项生物医学技能:详细用法、交互机制动画、R 绘图、证据图与可下载示例。
Translation pending
SkillsHTML · PythonGitHub @mianazOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
No updates detected yet. GitHub releases will appear here.
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
Claude Code / Codex agent skills for biomedical research: R tidyplots and GraphPad Prism figures, paper framing and writing, protocols, Methods and mechanism animations.
Taken from the repository README
Loading the full README.
Read the full README ↗General biomedical workflows. Repository: mianaz/biomed-skills. The suite includes scientific framing, manuscript writing, figures, paper reading, protocols and submission preparation. Version 0.5.5.
| Skill | Deliverable |
|---|---|
paper-framing | Central contribution, biological significance, conceptual model and overall figure sequence |
paper-writing | Manuscript text drafted or restructured from evidence |
paper-polishing | Existing prose polished, translated or compressed with its meaning preserved |
scientific-plotting | R/cowplot or Prism figures, editable source, direct plotting data and rendered checks |
scientific-plotting-tidyplots | tidyplots R figures with 50 mm plot areas and shared scientific, font and delivery standards |
figure-plan | Manuscript figure story, evidence/gap inventory, separate main/supplemental PowerPoint decks and inspected PNG/TIFF exports |
graphpad-prism | Native Prism workflow, template editing and accurately labeled PZFX exports |
scientific-reproducibility | Shared analysis outputs, source data, parameters and Methods records |
paper-distill | Paper contribution, experimental logic, reusable methods and project-specific next steps |
paper-evidence-map | Editable claim–experiment–result graph, evidence tables and visual preview |
scientific-visual-explainer | Interactive HTML lessons for concepts, reviews and papers; visual slides or animated video when requested |
paper-to-protocol | Sourced step-by-step protocol, printable HTML/Markdown and Labmate import JSON |
protocol-to-methods | Publication-style Methods based on protocol plus actual experiment records |
submission-check | Current journal/stage checklist and organized submission files for Cell, Nature or Science journals |
Open the GitHub Pages demo site. It includes detailed guides for all 14 skills, three basic mechanism examples (the default), two detailed mechanism demos, and a curated 38-icon gallery (14 basic symbols and 24 detailed assets) and three current plotting examples, copyable prompts, teaching data and a downloadable skill bundle. Writing and study examples are fictional; literature-based mechanism lessons include their sources and reading scope.
Build the static site with python3 scripts/build_pages.py, then serve _site/
with a local HTTP server. The build uses tracked skill resources and the explicit
teaching fixtures in site/; local prototypes and benchmark outputs are excluded.
GitHub Actions publishes the same build through .github/workflows/pages.yml.
Set repository Settings → Pages → Source → GitHub Actions for first deployment.
For Claude Code:
claude plugin marketplace add mianaz/biomed-skills
claude plugin install biomed-skill@biomed-skill
For Codex or Cursor, copy complete directories under skills/, including
biomed-shared/, into the configured skill directory. The shared directory is a
support package without an independent task entry point. The suite supplies all
its writing guidance; external editorial projects are recorded as design sources.
R, Python, Prism and application connections are needed for tasks using those tools.
Install scientific-plotting-tidyplots together with scientific-plotting; the
variation uses its shared standards and export helpers.
For a focused writing installation, run:
python3 scripts/build_writing_bundle.py /tmp/biomed-writing.zip
The bundle includes paper-framing, paper-writing, paper-polishing and
biomed-shared. Keep all four directories together. Copying one of these skills
requires copying the shared directory beside it. Installation instructions are
included in the bundle; installation is performed in the user's agent environment.
The protocol exporter uses Labmate's existing Guide → Backup & restore → Import workflow. It creates a local custom protocol. A new ID adds an item; the same ID replaces that item. The printable copy and import file come from one JSON source.
Framing develops the scientific argument. Writing develops manuscript text. Polishing improves existing prose. Shared principles govern all three tasks. The workflows support descriptive, mechanistic, methods and resource studies according to their scientific purpose. Results develop discoveries and their local interpretation; Discussion builds a broader explanation and specific research questions. Facts, numerical results, source attribution and consequential counterevidence remain exact.
Design provenance is recorded in docs/writing-provenance.md.
Open the animated Cas9 paper lesson in a browser. It uses a black stage, CMU Serif, four seekable scenes and a source-linked mutant comparison. It runs offline with an embedded open font. The smaller causal-model lesson is an illustrative alternative.
python3 scripts/check_writing.py --integration
python3 -m unittest discover -s tests -v
python3 skills/paper-to-protocol/scripts/test_export.py
python3 skills/paper-to-protocol/scripts/export_protocol.py \
skills/paper-to-protocol/assets/example.json /tmp/protocol-example
python3 skills/paper-evidence-map/scripts/render_map.py --self-test
The writing check validates the three entry points, bundled references and shared
links in four existing workflows. Tests cover isolated installation and structural
regressions. Agent routing and manuscript quality require separate evaluation;
see task boundaries and tests/writing-cases.json.
The protocol fixture is fictional teaching content, not an experimental recipe.
Publisher instructions are retrieved for the target journal and submission stage
when used. No live protocol upload or journal
submission is performed by installation.