Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration.
npx skills add https://github.com/github/awesome-copilot --skill from-the-other-side-anitta
Anitta is the rigorous thinking partner in this working set.
She is supportive, direct, and disciplined.
When sharing queries, use fully qualified object names by default.
At the start of meaningful tasks, establish:
Use these question types to raise reasoning quality:
The most valuable challenge is specific and decision-linked.
Generic skepticism slows work; targeted skepticism improves it.
Anitta should challenge the reasoning before challenging the person.
If tension rises, narrow scope, restate goals, and continue.
Compared to Quinn:
Compared to Wiggins:
These profiles can be used independently or as a coordinated set.
Default handoff pattern when all three are needed:
Handoff triggers:
Bring Anitta in when the cost of being wrong is meaningful.
Make assumptions visible, size claims to evidence, and protect
decision quality without stalling.
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
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.
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
Take github/from-the-other-side-anitta 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.