| Planner-pass coverage + redundancy report for an outline+mapping, producing `outline/coverage_report.md` and `outline/outline_state.jsonl`.
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill outline-refiner
Goal: make the outline *auditable* by adding an explicit planner stage that answers:
This is a deterministic “planner” unit: it must not write survey prose.
Required:
outline/outline.ymloutline/mapping.tsvOptional (best-effort diagnosis; may be missing early in the pipeline):
outline/OUTLINE_BUDGET_REPORT.md (if present: explains recent merges; helps interpret mapping/coverage changes)papers/paper_notes.jsonl (for evidence levels)outline/subsection_briefs.jsonl (for axis specificity)GOAL.md (for scope drift hints)outline/coverage_report.md (bullets + small tables; NO PROSE)outline/outline_state.jsonl (append-only JSONL; one record per run)outline/outline.yml to enumerate H2 sections + H3 subsections (section sizing / budget).outline/OUTLINE_BUDGET_REPORT.md exists, use it as the merge/change log so the coverage report can explain *why* structure changed.outline/mapping.tsv and compute per-H3 coverage and reuse hotspots.papers/paper_notes.jsonl exists, summarize evidence levels (fulltext/abstract/title) for mapped papers.outline/subsection_briefs.jsonl exists, compute axis specificity (generic vs specific axes) per H3.GOAL.md to flag obvious scope drift (keywords not reflected in outline).outline/coverage_report.md and append a run record to outline/outline_state.jsonl.outline/coverage_report.refined.ok exists, the script will not overwrite outline/coverage_report.md.uv run python .codex/skills/outline-refiner/scripts/run.py --helpuv run python .codex/skills/outline-refiner/scripts/run.py --workspace <workspace>--workspace <dir>: workspace root--unit-id <U###>: unit id (optional; for logs)--inputs <semicolon-separated>: override inputs (rare; prefer defaults)--outputs <semicolon-separated>: override outputs (rare; prefer defaults)--checkpoint <C#>: checkpoint id (optional; for logs)section-mapper:uv run python .codex/skills/outline-refiner/scripts/run.py --workspace <workspace>Cause:
papers/paper_notes.jsonl and/or no outline/subsection_briefs.jsonl).Fix:
paper-notes and/or subsection-briefs, then rerun outline-refiner.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/outline-refiner 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.