fs-dev

Use when starting a new app idea, exploring product concepts, or doing market research. Reads existing specs, conducts competitor analysis, and helps flesh out the app idea with differentiation strategies. Say "I have an app idea", "interview me about this product", or "help me differentiate from competitors".

Use when designing a feature, planning implementation, exploring approaches, or needing to think through a change before coding. Runs an interactive interview to understand requirements, assess complexity, explore alternatives, and create GitHub Issues. Say "let's brainstorm", "help me design", or "plan this feature".

Use when reviewing competitor analysis results, getting a quick market overview, or summarizing competitive landscape from previous app-interview sessions. Generates executive summary directly to terminal. Say "summarize competitors", "show competitive analysis", or "what did we learn about the market?".

Run a multi-agent consensus code review. Dispatches 5+ parallel agents and synthesizes findings. All agents have veto power unless --ignore-vetos is set.

Use when auditing codebase quality, finding security issues, identifying tech debt, checking test coverage, or scanning for improvements. Runs autonomous analysis across security, quality, performance, and documentation. Say "analyze this codebase", "find issues", "audit security", or "check code quality".

Code quality analysis agent for multi-agent consensus review. No veto power. Analyzes logic errors, test coverage gaps, cyclomatic complexity, code duplication, pattern violations, and error handling gaps.

Reviews technical documentation for accuracy, completeness, clarity, and adherence to best practices. Use when reviewing research reports, README files, API docs, or any technical writing. Has veto power for critical documentation issues.

Pre-session environment validation agent. Checks git config, branch state, tool availability, API token freshness, and project dependencies. Reports issues and suggests auto-remediation. Use as first step in any workflow or when encountering repeated configuration errors.

Go language specialist agent for multi-agent consensus review. Has VETO power on Go-specific issues. Analyzes gofmt compliance, naming conventions, error handling, control flow patterns, concurrency safety, interface design, and resource management using Effective Go principles.

Product owner agent for deep priority analysis, cross-project dependency mapping, and strategic recommendations. Use for complex prioritization decisions, historical pattern analysis, or platform-wide planning that goes beyond a simple standup.

Agent artifact placement conventions. Use when creating plans, tasks, research, reviews, brainstorms, or any agent-generated files. Ensures artifacts go to docs/.claude/ (gitignored) instead of polluting the repo.

Use when assessing task complexity, determining workflow depth, asking "how complex is this?", "should I use a worktree?", "is this a big change?", or sizing work before planning. Analyzes 7 dimensions (scope, integration, infrastructure, knowledge, risk, testing, decomposability) to return SIMPLE, STANDARD, or COMPLEX tier with confidence scoring. Includes intent confirmation gating and review agent selection hints for consensus-review integration.

Multi-agent consensus code review with adaptive budgets, complexity-aware agent selection, multiple consensus protocols (Approval/Veto, AAD, CI, Supermajority), cross-agent coverage tracking, context-folding isolation, and progressive summarization. Use when reviewing PRs, directories, or code changes.

Use when executing complex sub-tasks that need context isolation - creates branches with token budgets that auto-cleanup on return

Use when writing Go code, reviewing Go PRs, or asking "is this idiomatic Go?", "how should I structure this in Go?", "what's the Go way to do X?". Provides Effective Go principles for development guidance and code review reference. Covers Go 1.18+ generics, Go 1.22+ iterators, modern testing, and tooling.