Structured methodology for adversarial thinking — generating attack scenarios, abuse cases, race conditions, and security edge cases against specs and implementations. Produces spec-level gap items, not code-level fixes.
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Analyzes codebase structure, data flow, module relationships, and key patterns to generate and maintain a living architecture document (ARCHITECTURE.md).
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Orchestrate ideation from raw input to validated ideation outputs with shard composition
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Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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Manage API versioning and evolution with URL/header/query strategies, deprecation workflows, breaking change classification, sunset headers, and consumer-driven contract testing. Use when designing versioning strategy, deprecating endpoints, or evolving API contracts.
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Execute ambiguity audit document-by-document with implementer simulation, rubric scoring, cross-layer checks, remediation, and verdicting
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Determine ambiguity audit scope, enumerate source documents from filesystem, and persist rubric file bindings
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Orchestrate ambiguity auditing across selected layers with rubric-driven scoring, remediation flow, and next-step gating
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Fill surface stack map, instruction templates, and root config placeholders from provided key-value updates
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Resolve all map-referenced skills through 4-tier chain and provision installs with idempotent updates
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Use before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements, and design before implementation.
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Apply the confirmed design direction to all visual surfaces. This skill now bridges the pipeline's placeholder system with the `impeccable` skill's PRODUCT.md and DESIGN.md files. If `{{DESIGN_DIRECTION}}` still appears as a literal placeholder, run `/impeccable teach` to establish design context.
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Applies battle-tested clean code principles to writing, reviewing, and refactoring code. Covers naming, functions, comments, error handling, class design, and the critical difference between clever code and clear code.
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Deep code analysis covering security, performance, maintainability, and best practices
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Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.
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Define system architecture, error architecture, and data strategy with map guards and ideation context reload
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Compile architecture draft into dated architecture design and engineering standards with rubric-complete quality gates
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Create decomposition directory structure, IA shard skeletons, and all required layer indexes from approved decomposition plan
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Validate shard load/dependencies, create deep-dive skeletons, update ledger assignments, and generate pipeline tracker
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Decompose approved architecture design into IA shards and layered spec structure, then validate dependencies and tracking outputs
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Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
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Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
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Safely evolve shared contracts with consumer discovery, migration tests, versioning checks, and downstream spec cascade validation
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Cascade approved evolution changes through downstream layers, assess impact, run consistency checks, and write evolution audit record
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