🎯Skills28
Product demo specification skill from AISDLC for creating structured demo plans and scenarios.
Automates complex software development workflows by coordinating specialized AI subagents to break down, design, and implement coding tasks collaboratively
A spec-receiving code review skill from the AI SDLC workflow toolkit that uses dual-layer SSOT (project-level + requirement-level Spec Pack) and Spec as Code approach to progressively evolve raw requirements into reviewable decisions and executable implementation plans.
Part of the AI SDLC toolkit that provides a Spec-level design workflow, handling RFC/Decision Document creation as part of the optional design phase (D2) within a structured requirements-to-implementation pipeline built around dual-layer SSOT and Spec as Code principles.
Spec context skill from AISDLC for managing specification context and requirements in AI-driven software development lifecycle.
Part of the AI SDLC toolkit that handles the code review request step within a structured Spec-level workflow, enabling reviewable decisions and traceable implementation plans built on dual-layer SSOT and Spec as Code principles.
Part of the AI SDLC toolkit that handles the finishing development step, completing the implementation phase within a structured Spec-level workflow built on dual-layer SSOT and Spec as Code principles for traceable requirement-to-delivery pipelines.
Generates comprehensive software specification research reports by analyzing requirements, user needs, and technical constraints with structured insights.
A project discover skill from AISDLC, providing AI software development lifecycle skills and patterns.
A project discover preflight scope skill from AISDLC, providing AI software development lifecycle skills and patterns.
A project discover memory index skill from AISDLC, providing AI software development lifecycle skills and patterns.
A project discover modules contracts skill from AISDLC, providing AI software development lifecycle skills and patterns.
A project discover products ops dod skill from AISDLC, providing AI software development lifecycle skills and patterns.
A spec pack abandon skill from AISDLC, providing AI software development lifecycle skills and patterns.
A qa test planner skill from AISDLC, providing AI software development lifecycle skills and patterns.
A frontend page discovery skill from AISDLC, providing AI software development lifecycle skills and patterns.
A spec merge back skill from AISDLC, providing AI software development lifecycle skills and patterns.
Generates comprehensive software specification and implementation roadmaps with detailed technical requirements, milestones, and architectural design strategies.
Transforms software specifications into executable code, bridging design requirements with precise implementation across programming languages and frameworks.
Identifies and maps module dependencies, contract interfaces, and architectural relationships in software projects for comprehensive system understanding.
Aggregates and enriches product discovery data across multiple sources, enabling comprehensive market insights and competitive analysis.
Automates evidence collection and analysis for DevOps project discovery, identifying operational insights and potential optimization opportunities.
Guides AI project discovery by mapping requirements, stakeholder needs, technical constraints, and potential solution scopes for strategic planning.
Skill
Automates project discovery by analyzing repositories, extracting key metadata, dependencies, and architectural insights for AI-driven software development planning.
Generates initial project structure and skeleton files for AI system discovery and documentation at Level 1 indexing stage
Automates project discovery and pre-launch validation, identifying potential risks, dependencies, and compatibility issues before software development begins.
Automates discovery and mapping of Department of Defense (DoD) project gates, milestones, and critical decision points for strategic planning.