spec-execution
6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.
What this skill does
# Spec Execution ## Overview Executes a feature specification through 6 iterative phases with quality-gated convergence. Each phase builds on the previous, with improvement cycles triggered when quality falls below threshold. ## Six Phases ### Phase 1: Implementation - Read specification for requirements and architecture - Implement each requirement following project conventions - Add type definitions and JSDoc documentation - Implement error handling for all failure modes ### Phase 2: Test Writing - Write unit tests for each module/function - Write integration tests for API boundaries - Cover all acceptance criteria from the specification - Test edge cases and error paths ### Phase 3: Code Review - Verify all requirements are implemented - Check acceptance criteria are tested - Review architecture adherence - Assess code quality ### Phase 4: Iterative Improvement - Address review findings - Fix failing tests - Resolve architecture deviations - Re-verify quality (convergence loop, max 3 cycles) ### Phase 5: Atomic Commit - Group changes into logical atomic commits - Descriptive messages following project conventions - Separate production, test, and config changes - Include specification reference ### Phase 6: Progress Tracking - Requirement completion percentage - Test coverage summary - Quality score report - Remaining work identification ## Quality Gate Quality threshold defaults to 80. If not met after max improvement cycles, a human breakpoint is triggered for review. ## When to Use - `/spec:execute [file]` slash command - After spec creation when ready to implement ## Processes Used By - `claudekit-spec-workflow` (execute mode)
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.