Activate ATLAS pattern recognition mode. Identify repeated patterns, extract essential characteristics, and create reusable abstractions from concrete examples.
npx skills add https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas --skill abstraction-power
Activate ATLAS abstraction thinking mode.
Abstraction is the process of identifying essential features while hiding unnecessary details. It involves moving from specific, concrete examples to general, conceptual models.
Concrete instances:
sendEmail(to, subject, body) → connects to SMTP, formats message, deliverssendSMS(phone, message) → connects to Twilio API, formats payload, deliverssendPush(deviceId, title, body) → connects to FCM, formats notification, deliversPattern recognized: All three connect to a service, format a message, and deliver it.
Abstraction:
NotificationChannel {
connect()
format(content) → payload
deliver(payload)
}
Three specific implementations collapsed into one interface. New channels (Slack, WhatsApp) plug in without changing the system.
Concrete observations:
Generalized insight: The system violates the Open/Closed Principle. Adding a new variant forces modification of existing code.
Generalized solution: Use a registry/strategy pattern. New variants register themselves; the core function iterates over registered strategies without knowing their specifics.
The generalization isn't about one specific fix. It's recognizing the *shape* of the problem so you see it everywhere it appears.
Apply this abstraction lens to the current context:
Prefer flowcharts over sequence diagrams when visualizing abstractions. Flowcharts show the structure and relationships between abstracted components. Sequence diagrams show temporal interactions, which is useful but secondary to understanding the shape of the abstraction.
Use Mermaid diagrams. Default to graph TD (top-down flow) or graph LR (left-right flow). Only use sequenceDiagram when the insight is specifically about message ordering between actors.
When applying abstraction power, provide:
List the specific instances being analyzed
The generalized model, class, pattern, or solution — with a Mermaid flowchart when the relationships benefit from visualization.
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 syahiidkamil/abstraction-power 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.