By ddunnock
Run the NASA Phase A concept development lifecycle: ideate system ideas with feasibility checks, define bounded problems via 5W2H analysis, propose black-box architectures with diagrams, drill down functional blocks with domain research and gap analysis, skeptically verify claims, then generate cited concept documents and solution landscapes.
npx claudepluginhub ddunnock/claude-plugins --plugin concept-devPhase 3 — Define concept at functional level with blocks, relationships, principles, and ASCII diagrams. No implementation details.
Phase 5 — Generate Concept Document and Solution Landscape with section-by-section approval and mandatory assumption review
Phase 4 — Decompose functional blocks, research domains, identify gaps, and list solution approaches with cited sources
Initialize a concept development session, create workspace, and detect available research tools
Phase 2 — Refine viable ideas into a clear, bounded problem statement using adapted 5W2H questioning
Research web sources for concept development using crawl4ai. Crawls URLs, extracts relevant content with BM25 filtering, and auto-registers sources.
Resume an interrupted concept development session from the last known state
Phase 1 — Open-ended ideation session. Capture wild ideas, probe feasibility, cluster themes
Display session status dashboard showing current phase, progress metrics, source coverage, gaps, and skeptic findings
Black-box architecture generation agent. Proposes multiple approaches, elaborates functional blocks with ASCII diagrams, and guides section-by-section approval.
Final document composition agent. Produces Concept Document and Solution Landscape with section-by-section approval and source citations.
Research execution agent for drill-down phase. Uses tiered tool strategy with verification protocol and confidence levels. Registers sources via source_tracker.py.
Gap identification agent for drill-down phase. Identifies unknowns per block, lists solution OPTIONS (not recommendations) with citations.
Open-ended questioning agent for spit-ball ideation sessions. Probes feasibility, expands ideas with "what if" questions, and clusters themes.
Metered questioning agent for problem definition. Adapted from problem-definition skill's 5W2H pattern but generalized for concept development. Includes scope guardrail for deferring solutions.
AI slop checker that verifies feasibility claims, solution descriptions, and technical assertions. Cross-cutting agent invoked in Phases 1, 4, and 5 to catch hallucinated capabilities, vague assessments, and ungrounded claims.
Cognitive brainstorming protocol for Claude Code. Structures thinking through GROUND (problem discovery) -> EXPLORE (divergent) -> DECIDE (convergent) -> STRESS (stress-test) -> SHIP (artifacts) phases. Includes domain skills for technical architecture and conceptual work.
Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives
🏗️ Architect — System Architect + Technical Design Leader
Problem-Based Software Requirements Specification methodology for AI-assisted requirements engineering. Provides structured approach to capture Customer Problems (WHY), Customer Needs (WHAT), and Functional Requirements (HOW) with full traceability.
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
AI-augmented Innovation & Development Workflow: V-Model phases from business analysis to security audit
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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