Software Development Skills

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, designing systems, or making…

AI-native software development lifecycle that replaces traditional SDLC.

Use when building user interfaces that need to look polished, modern, and intentional - not like AI-generated slop.

End-to-end, phase-gated software development lifecycle for AI agents. Turns a ticket, task, plan, or migration into a validated design, a dependency-graphed task board, and verified code. Triggers on "build this end-to-end", "plan and build", "break this into tasks", "pick up this ticket", "grill me on this", "run this migration", "absolute-work this", or any multi-step development task. Relentlessly interviews to a shared design, writes a reviewed spec, decomposes into atomic tasks on a persistent markdown board, then peels tasks one safe wave at a time with test-first verification. Handles features, bugs, refactors, greenfield projects, planning breakdowns, and migrations.

Use when managing key accounts, planning expansions, running QBRs, or mapping stakeholders. Triggers on account management, expansion playbooks, QBR preparation, stakeholder mapping, renewal strategy, upsell, cross-sell, and any task requiring strategic account planning or relationship management.

Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software…

Use when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.

Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK…

Provides chaos engineering best practices for resilience testing, fault injection, and game day planning. Use when designing resilience experiments, configuring chaos tools, planning game days, or when user mentions 'chaos engineering', 'resilience', 'litmus', 'game day', 'fault injection', 'chaos monkey', 'blast radius', 'steady state', 'failure mode'.

Guidelines for implementing Clean Architecture patterns in Flutter and Go applications, with emphasis on separation of concerns, dependency rules, and testability.

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary…

AWS cloud infrastructure and services expert. Use when working with AWS CLI, Terraform for AWS, Lambda, S3, EC2, DynamoDB, IAM, API Gateway, or any AWS service configuration, deployment, troubleshooting, or best practices.

Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.

Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis.

Specialized skill for robot vision including feature detection, tracking, and camera…

Build a content marketing program by producing a Content Marketing Plan Pack (content market fit brief, demand-validated SEO topic map, human voice + primary channel strategy, editorial calendar, content briefs, AI-assisted writing SOP, measurement plan). Use for content marketing, content strategy, blog, SEO, thought leadership, founder-led content.

Write marketing copy that converts - headlines, CTAs, value…

Comprehensive cryptography guidance covering encryption algorithms, password hashing, TLS configuration, key management, and post-quantum considerations. Use when implementing encryption, choosing hashing algorithms, configuring TLS/SSL, managing cryptographic keys, or reviewing cryptographic implementations.

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics…

Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse…

Domain specialist for data persistence, database design, query optimization, and data modeling. Scope: SQL injection prevention, indexing strategies, normalization, migrations, scaling, backup/recovery, ORM patterns, N+1 query detection, query optimization, relationship mapping. Excludes: API design, business logic, infrastructure, frontend, security beyond database. Triggers: "database", "SQL", "query", "index", "schema", "migration", "sharding", "replication", "backup", "N+1", "ORM", "Eloquent", "Django", "query optimization", "slow query", "relationship", "foreign key", "join".

Comprehensive debugging strategies, tools, and techniques for efficiently identifying and fixing bugs across different environments.

Dockerfile best practices, multi-stage builds, docker-compose patterns, and Kubernetes…