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npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill table-schema
Tables are not decorations; they are compression.
A common failure mode in this pipeline: the first table that gets generated looks like an internal index.
So we separate tables into two layers:
1) outline/tables_index.md (internal)
2) outline/tables_appendix.md (reader-facing)
This skill designs both layers before filling.
Treat this as a design task, not running a script.
If a column cannot be filled from existing evidence packs without guessing, the schema is wrong.
Mission: choose tables that answer reader questions, not pipeline questions.
Do:
Avoid:
Mission: refuse schemas that require invented facts.
Do:
Avoid:
GOAL.md to keep the reader question and scope stable.queries.md:draft_profile when present; it controls the table budget, not the evidence standard.outline/outline.yml to align table row units with the paper structure.outline/subsection_briefs.jsonl to ground table dimensions/axes in the approved structure.outline/evidence_drafts.jsonl to ensure every planned column is fillable without guessing.outline/outline.ymloutline/subsection_briefs.jsonloutline/evidence_drafts.jsonlGOAL.mdoutline/table_schema.mddraft_profile:course_paper: >=1 Index table and >=1 Appendix tablesurvey / deep: >=2 Index tables and >=2 Appendix tablesFor course_paper, use I1 and A1 as the compact default. Add I2 or A2 only when
the evidence supports a distinct reader question. For survey and deep, use the
full I1/I2/A1/A2 set below.
table-filler -> outline/tables_index.md)I1) Subsection map (axes + representative works)
subsection_briefs.axes + citations from evidence_draftsI2) Concrete anchors (benchmarks / numbers / caveats)
anchor_sheet.anchorsappendix-table-writer -> outline/tables_appendix.md)A1) Method/architecture map (representative works)
evidence_drafts (comparisons + definitions) + anchor_sheetA2) Evaluation protocol / benchmark map
anchor_sheet + evidence_drafts.evaluation_protocolGood (publishable question + fillable columns):
evidence_drafts.evaluation_protocol + anchor_sheetBad (internal/pipeline voice):
If you want internal diagnostics, put them in an audit report, not in reader-facing tables.
uv run python .codex/skills/table-schema/scripts/run.py --helpuv run python .codex/skills/table-schema/scripts/run.py --workspace <workspace>--workspace <workspace> (required)--unit-id <id> (optional; used only for runner bookkeeping)--inputs <outline;briefs;packs;goal> (optional; override inputs)--outputs <relpath> (optional; defaults to outline/table_schema.md)--checkpoint <C#> (optional; ignored by the bootstrapper)uv run python .codex/skills/table-schema/scripts/run.py --workspace <workspace>
uv run python .codex/skills/table-schema/scripts/run.py --workspace <workspace> --outputs outline/table_schema.md
Notes:
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take willoscar/table-schema from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.