Score an existing reader-facing deliverable and emit a deterministic PASS/FAIL scorecard plus bounded repair plan; use after synthesis, not to rewrite content.
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill deliverable-selfloop
Runs the final quality gate for a reader-facing deliverable and always writes a PASS/FAIL report.
Primary input depends on the active pipeline contract:
output/DELIVERABLE_SELFLOOP_TODO.mdresearch-brief: output/BRIEF_SCORECARD.md and output/BRIEF_SCORECARD.jsonpaper-review: output/REVIEW_SCORECARD.md and output/REVIEW_SCORECARD.jsonidea-brainstorm: output/IDEA_SCORECARD.md and output/IDEA_SCORECARD.jsonevidence-review: output/EVIDENCE_SCORECARD.md and output/EVIDENCE_SCORECARD.jsonThe gate should dispatch by pipeline contract first:
quality_contract.deliverable_kindOnly fall back to legacy profile-name checks when contract metadata is missing.
scripts/run.py should:
It should not mutate the deliverable itself.
- Status: PASS or - Status: FAILresearch-brief additionally requires valid core-set pointers and the configured score thresholdpaper-review additionally requires the configured score threshold and all critical rubric dimensionsidea-brainstorm additionally requires traceable anchors, actionable lead directions, and the configured score thresholdevidence-review additionally requires clause-linked screening, complete extraction rows, synthesis pointers, and the configured score thresholdIntegration 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/deliverable-selfloop 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.