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Found 6,763 Skills
Use after backlog decomposition to define prioritization, MVP and release slices, sequencing, readiness, traceability, and JIRA-ready outputs, then score backlog quality for planning and estimation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
AI SDLC repository spec-driven development workflow. Use when an AI assistant receives a medium or large feature, refactor, API change, architecture change, provider integration change, or any request that must follow requirements, design, test cases, QA planning, tasks, implementation, and validation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
AI SDLC commit preparation workflow. Use when an AI assistant is asked to commit repository changes, prepare an auditable commit message, stage files safely, include SDD traceability, verify branch/spec alignment, or verify the working tree before committing. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Detect and resolve Unity C# compilation errors using VSCode diagnostics. Use this skill when Unity projects have compilation errors that need diagnosis and automated fixes. Analyzes errors from VSCode Language Server, proposes solutions based on error patterns, and handles version control conflicts for Unity projects.
Guide to migrating iOS Capacitor plugins and dependencies from CocoaPods to Swift Package Manager (SPM). Use this skill when users want to modernize their iOS project, remove CocoaPods, or add SPM-based dependencies.
Apply layered security architecture. Use when designing security controls, hardening systems, or reviewing security posture. Covers multiple security layers.
Apply cloud-native architecture patterns. Use when designing for scalability, resilience, or cloud deployment. Covers microservices, containers, and distributed systems.
Subscribe to AI and tech RSS feeds and persist normalized metadata into SQLite using mature Python tooling (feedparser + sqlite3). Use when adding feed URLs/OPML sources, running incremental sync with deduplication, and storing entry metadata without full-text extraction or summarization.
Professionally evaluate story outlines, judge and score from the dimensions of market potential, innovation attributes, and content highlights. Suitable for story outline quality assessment, IP adaptation potential judgment, and project approval decision-making
Critical Bitcoin terminology rules to prevent confusion between bech32m (encoding) and taproot (address type). Use when working on BTC-related code, config files, or shell scripts.
Load PROACTIVELY when task involves optimizing speed, reducing bundle size, or improving responsiveness. Use when user says "make it faster", "reduce bundle size", "fix slow queries", "optimize rendering", or "check Core Web Vitals". Covers bundle analysis and tree-shaking, database query optimization (N+1, indexing), React rendering performance (re-renders, memoization), network waterfall optimization, memory leak detection, server-side performance, and Core Web Vitals (LCP, FID, CLS) improvement.
Generate a README introduction following the Diataxis 4-paragraph structure for product documentation.