doctorduke
Official@doctorduke
Offers specialized frameworks for software architecture evaluation, multi-agent orchestration, and structured technical documentation generation for enterprise development environments.
Agent Skills by doctorduke
Showing 37 vetted skills indexed across 2 GitHub repositories.
test-driven-development-framework
Guide teams through the Red/Green/Refactor loop for test-driven development.
ai-agent-tool-builder
Create MCP servers and function-calling tools for AI agents.
gap-analysis-framework
Identify and prioritize gaps between current and target software system states.
agent-builder-framework
Design AI agents with specifications, tool mapping, and validation tests.
security-scanning-suite
Automate SAST, DAST, dependency, secret, and container security scans.
mcp-integration-toolkit
Create and configure MCP servers and clients with FastMCP or MCP SDK.
recursive-planning-spec
Expand feature intents into complete PlanGraphs with deterministic delta outputs.
workflow-builder-framework
Coordinate multi-agent tasks in DAG, state machine, event-driven, and saga workflows.
codebase-onboarding-analyzer
Analyze codebases to generate structured onboarding reports with architecture and dependency details.
reverse-engineering-toolkit
Analyze undocumented codebases to extract architecture, dependencies, and design patterns.
evaluation-reporting-framework
Evaluate software project quality and generate reports in Markdown, HTML, JSON, and PDF.
orchestration-coordination-framework
Coordinate multiple AI agents across DAGs, state machines, and event-driven workflows.
multi-agent-coordination-framework
Orchestrate AI agent pods and human teams across distributed workflows.
context-engineering-framework
Measure token usage and apply compression, budgeting, and handoff techniques for LLM contexts.
work-backcasting-framework
Derive executable sequences from desired end states via backward chaining.
briefkit-documenter
Generate and validate BRIEF.md documentation for software modules using BRIEF System v3.
git-mastery-suite
Resolve complex Git history and branching problems with interactive rebases, conflict resolution, and bisect debugging.
ai-evaluation-suite
Evaluate LLM outputs for quality, hallucination, bias, cost, and latency.
architecture-evaluation-framework
Assess software architectures for SOLID adherence and coupling metrics.
queue-based-flow
Queue prompts for sequential asynchronous processing during coding sessions.
api-integrator
Automate external API integrations with authentication, retries, and JSON schema validation.
markdown-formatter
Lints and repairs Markdown filesGitHub-style, including accessibility and formatting checks.
smart-skill-loading
Load skill YAML metadata and full content based on task matching.
plan-execute
Generate explicit YAML plans for complex code changes with approval gates.
Frequently Asked Questions About doctorduke
FAQPage SchemaWhat specific tasks can be performed using these frameworks?▼
These frameworks enable architectural gap analysis, automated unit testing with pytest/Jest, multi-agent orchestration via state machines, and the generation of structured documentation like BRIEF.md and CLAUDE.md files.
Which personas benefit most from these technical capabilities?▼
Software architects, senior engineers, and technical leads focused on codebase onboarding, system design validation, and the implementation of rigorous test-driven development cycles within complex distributed environments.
What are the primary prerequisites for implementing these systems?▼
Implementation requires a repository-based environment supporting YAML metadata, Git version control, and standard execution environments for Python-based asynchronous processing and MCP-compliant server communication.