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Accessibility Architect specializing in WCAG 2.2 compliance for Web and Native platforms. Use PROACTIVELY when designing UI components, establishing design systems, or auditing code for inclusive user experiences.
a minimal version made from everything-claude-code for go/python project
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Accessibility Architect specializing in WCAG 2.2 compliance for Web and Native platforms. Use PROACTIVELY when designing UI components, establishing design systems, or auditing code for inclusive user experiences.
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Go/Python backend architecture specialist for service boundaries, APIs, persistence, migrations, security, scalability, and technical decisions.
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Go/Python build, test, lint, type-check, and dependency error resolution specialist. Use when a non-Go-specific build or verification command fails and the fix should be minimal.
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Designs feature architectures by analyzing existing codebase patterns and conventions, then providing implementation blueprints with concrete files, interfaces, data flow, and build order.
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Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, and documenting dependencies to inform new development.
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Go/Python backend code review specialist. Use immediately after code changes to review correctness, security, maintainability, tests, and integration risk.
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Simplifies and refines code for clarity, consistency, and maintainability while preserving behavior. Focus on recently modified code unless instructed otherwise.
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PostgreSQL database specialist for query optimization, schema design, security, and performance. Use PROACTIVELY when writing SQL, creating migrations, designing schemas, or troubleshooting database performance. Incorporates Supabase best practices.
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Go/Python backend documentation specialist with two invocation-aware modes. (1) Standard docs — update README, API docs, migration notes, runbooks, and code maps from actual repository structure and commands. (2) RAG incremental sync — when invoked by /gg:rag-sync, use .rag/manifest.json lastsyncedcommit and…
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When Go/Python work needs current library, framework, SDK, CLI, or API documentation, use an enabled Context7 MCP or available docs tool and return concise examples.
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Go/Python API and service end-to-end testing specialist. Use for validating critical backend workflows across HTTP APIs, databases, queues, auth, and external service boundaries.
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Extracts and refines atomic, scoped, decidable documentation Claims while preserving business meaning and Claim lineage.
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Writes reviewable knowledge drafts from eligible Claim revisions and the Verdict rendering policy without creating unsupported facts.
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Independently reviews high-risk evidence-backed Verdicts for source reproducibility, scope fit, temporal validity, and unsupported online assertions.
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GAN Harness — Evaluator agent. Tests the live running application via Playwright, scores against rubric, and provides actionable feedback to the Generator.
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GAN Harness — Generator agent. Implements features according to the spec, reads evaluator feedback, and iterates until quality threshold is met.
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GAN Harness — Planner agent. Expands a one-line prompt into a full product specification with features, sprints, evaluation criteria, and design direction.
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Go build, vet, and compilation error resolution specialist. Fixes build errors, go vet issues, and linter warnings with minimal changes. Use when Go builds fail.
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Expert Go code reviewer specializing in idiomatic Go, concurrency patterns, error handling, and performance. Use for all Go code changes. MUST BE USED for Go projects.
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Analyze and improve the local agent harness configuration for reliability, cost, and throughput.
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Plans evidence-backed knowledge structure strictly from a Domain Profile, Knowledge Blueprint, eligible Claim revisions, and declared templates.
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Explains an approval-bound deterministic publication plan, including routes, change types, target conflicts, Context Pack registration, and rollback scope.
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Independently reviews evidence-backed drafts and Agent Context Packs for unsupported statements, Verdict escalation, mapping errors, and retrieval gaps.
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Operate autonomous agent loops, monitor progress, and intervene safely when loops stall.