customer-discovery

Helpers to discover, rank, and invoke repository symbols from natural language with minimal context.

Discovery phase for blueprint workflow - interview triggers, acceptance criteria, and feature classification

Discover high-level architectural requirements for change-set specs

Use when APIs fail repeatedly with version-related errors (method not found, wrong arguments, unknown flag) or when about to use library APIs with uncertain knowledge - guides finding current, accurate documentation instead of guessing from training data

Discover and identify any technology, framework, or system without prior knowledge. Analyzes files, configurations, dependencies, and usage patterns to understand project technology stack from C source files to Kubernetes manifests.

Search for and install Agent Skills that give you specialized capabilities. Before starting work, ask might a skill exist that handles this better than my base knowledge? If the task involves specific technologies, frameworks, file formats, or expert domains. Search proactively, even if the user doesn't mention skills. Skills encode best practices, tools, and techniques you wouldn't otherwise have. Also use when users explicitly ask to find, install, or manage skills.

Discover project structure, package managers, test frameworks, and automation without hardcoded assumptions

Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.

This skill identifies novel transcription factor binding motifs in the promoter regions of genes, or directly from genomic regions of interest such as ChIP-seq peaks, ATAC-seq accessible sites, or differentially acessible regions. It employs HOMER (Hypergeometric Optimization of Motif Enrichment) to detect both known and previously uncharacterized sequence motifs enriched within the supplied genomic intervals. Use the skill when you need to uncover sequence motifs enriched or want to know which TFs might regulate the target regions.

Comprehensive meeting intelligence system for customer-facing calls. Provides proactive pre-call briefings with account context, post-meeting action item extraction with draft approval, and thread continuity. Use when you need: (1) automated morning briefings for customer meetings, (2) post-meeting action item extraction from Fellow.ai and Gmail Gemini notes, (3) draft approval workflow before posting meeting notes, (4) customer context gathering including billing, support tickets, and communication history, (5) meeting follow-up automation with account intelligence.

Guide users through discovering and defining system architecture through structured conversation. Triggers on "I want to build", "design a system", "architect", "planning a new project", "how should I build X".

Discovers architectural and design patterns across all abstraction levels. Analyzes structural patterns, component relationships, recurring solution approaches, and design principles. Works with any technology stack without prior framework knowledge to provide comprehensive pattern understanding from code-level to system-level architecture.