| Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill appendix-table-writer
The pipeline can produce index tables that are useful for planning/debugging, but read like internal artifacts.
This skill writes publishable, reader-facing tables that can live in an Appendix:
Index tables remain in outline/tables_index.md and should not be copied verbatim into the paper.
outline/table_schema.md (table intent + evidence mapping)outline/tables_index.md (internal index; optional but recommended)outline/subsection_briefs.jsonloutline/evidence_drafts.jsonloutline/anchor_sheet.jsonlcitations/ref.bibGOAL.mdRead as needed:
references/table_cell_hygiene.md when Appendix table cells still copy raw paper self-narration or generic result wrappersMachine-readable assets:
assets/table_cell_hygiene.jsonoutline/tables_appendix.mdMission: choose tables a reader actually wants in a survey Appendix.
Do:
Avoid:
Mission: make the table look publishable in LaTeX.
Do:
<br> sparingly (0-1 per cell; never a list dump)Avoid:
Mission: prevent hallucinations.
Do:
Avoid:
outline/tables_appendix.md must:
course_paper, or >=2 for survey / deepAppendix Table A1. Representative systems by method family and evaluation setting#, ##, ###) inside the file (the merger adds an Appendix heading)TODO, TBD, FIXME, ASCII three-dot ellipsis, unicode ellipsis)[@BibKey] (keys must exist in citations/ref.bib)GOAL.md (scope) and outline/table_schema.md (what each table must answer).queries.md:draft_profile when present; course_paper uses one strong reader table by default, while survey / deep retain at least two.outline/tables_index.md as a shortlist source, but do not paste it verbatim.outline/subsection_briefs.jsonl, outline/evidence_drafts.jsonl, and outline/anchor_sheet.jsonl (no guessing).citations/ref.bib.If you are unsure what to build, start with these two:
1) Method/architecture map (representative works)
2) Evaluation protocol / benchmark map
Optional third (only if it stays clean):
3) Risk / threat-surface map
Bad (index table / internal notes):
planning / memory / tools / eval / safety (slash dump)<br> linesGood (survey table):
Also good (avoid intermediate-artifact tells):
-> inside cells; prefer natural phrasing (e.g., "interleaves reasoning traces with tool actions").If you cannot fill a row without guessing:
evidence-draft / anchor-sheet for that area.uv run python .codex/skills/appendix-table-writer/scripts/run.py --helpuv run python .codex/skills/appendix-table-writer/scripts/run.py --workspace <workspace>--workspace <workspace> (required)--unit-id <id> (optional; used only for runner bookkeeping)--inputs <a;b;c> (optional; ignored by the validator; kept for runner compatibility)--outputs <relpath> (optional; defaults to outline/tables_appendix.md)--checkpoint <C#> (optional; ignored by the validator)uv run python .codex/skills/appendix-table-writer/scripts/run.py --workspace workspaces/e2e-agent-survey-latex-verify-YYYYMMDD-HHMMSS
uv run python .codex/skills/appendix-table-writer/scripts/run.py --workspace <workspace> --outputs outline/tables_appendix.md
Notes:
outline/tables_appendix.md from the existing evidence artifacts and then validates the result.output/TABLES_APPENDIX_REPORT.md.Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Take willoscar/appendix-table-writer 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.