This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
npx skills add https://github.com/github/awesome-copilot --skill gen-specs-as-issues
This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
Guiding Questions:
Output Creation:
Scoring Matrix (1-5 scale):
Priority = (User Impact × Strategic Alignment) / (Implementation Effort × Risk Level)
Output Creation:
For Each Feature Specification:
Issue Template Structure:
[Brief description of the feature and its purpose]
[What's included and what's explicitly excluded]
[Specific technical needs and constraints]
[Step-by-step approach with simple code examples]
[Clear list of requirements to consider the feature complete]
[Justification for prioritization]
Implementation Guidelines:
Remember throughout this process:
This workflow embodiment of our approach should help maintain consistency in how features are specified and prioritized, ensuring that software projects evolve in a thoughtful, user-centered way.
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/gen-specs-as-issues 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.