ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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ai-ds-composer
Strategic guide for consuming design system metadata to compose components intelligently. Use when generating or modifying UI components and layouts to ensure component reuse, proper variant selection, and adherence to design system patterns. Helps Claude understand project structure, read hierarchical metadata indexes, apply anti-pattern rules, and flag when existing components don't fit a requirement.
bacchus-labs/wrangler 3
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designing-frontends
Creates frontend designs with accessibility, responsive layout, and design system integration. Use when designing user interfaces, implementing visual components, or establishing frontend architecture.
bacchus-labs/wrangler 3
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accessibility-verification
Use when implementing any UI - verifies accessibility compliance through automated testing (axe-core), keyboard navigation, screen reader verification, and Lighthouse audits; legally required and ensures inclusive user experience
bacchus-labs/wrangler 3
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figma-design-workflow
Generate Figma mockups from wrangler specifications with hierarchical file structure and approval tracking
bacchus-labs/wrangler 3
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design-system-governance
Detect and track design token drift between Figma design systems and code implementations - report-only skill that identifies inconsistencies and creates wrangler issues for resolution
bacchus-labs/wrangler 3
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debugging-systematically
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
bacchus-labs/wrangler 3
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finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by verifying work is complete (tests, requirements, code review, TDD compliance) and presenting structured options for merge, PR, or cleanup
bacchus-labs/wrangler 3
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implement-spec
Orchestrate spec-to-PR workflow with session tracking, worktree isolation, and audit trail
bacchus-labs/wrangler 3
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condition-based-waiting
Use when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling; prefer event-based waiting when available (WebSockets, EventEmitters, Observables)
bacchus-labs/wrangler 3
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youtube-transcript
Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube. Also use when user wants to transcribe or get captions/subtitles from a YouTube video.
bacchus-labs/wrangler 3
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avoiding-testing-anti-patterns
Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies
bacchus-labs/wrangler 3
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analyzing-implementations
Analyzes implementation quality, technical debt, and architectural patterns in existing codebases. Use when conducting code audits, planning refactors, or evaluating technical decisions.
bacchus-labs/wrangler 3
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crazy-8s
Solo rapid ideation method based on Google Design Sprint Crazy 8's exercise. Generates 8 distinct solution ideas in 8 minutes through rapid-fire ideation or sketch documentation. Use when working alone and need to explore multiple solution directions quickly, push beyond first obvious ideas, or generate variety before converging. Includes creativity warm-up questions, built-in timer, optional creative constraints, and generates visual HTML/CSS prototypes plus comparison table. NOT for team sessions (traditional Crazy 8's works better for teams).
bacchus-labs/wrangler 3
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codebase-index
Automatically generate relationship and dependency maps for any component-based codebase (React, Vue, Svelte, Astro, Next.js, Angular, Solid). Auto-detects framework. Supports TOON format for 30-60% token savings. Use when indexing codebases, mapping component relationships, documenting dependencies, or understanding unfamiliar projects. Generates JSON/TOON files mapping component usage, imports, npm dependencies, utilities, CSS, and data queries.
bacchus-labs/wrangler 3
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dependency-opportunity-scanner
Scan codebase to identify opportunities to replace custom implementations with well-maintained open source libraries. Creates worktree, implements changes, and submits PR for review. Multi-phase workflow with parallel analysis agents.
bacchus-labs/wrangler 3
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Systematic Debugging
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
obra/superpowers-skills 592
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Defense-in-Depth Validation
Validate at every layer data passes through to make bugs impossible
obra/superpowers-skills 592
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Verification Before Completion
Run verification commands and confirm output before claiming success
obra/superpowers-skills 592
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Root Cause Tracing
Systematically trace bugs backward through call stack to find original trigger
obra/superpowers-skills 592
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Brainstorming Ideas Into Designs
Interactive idea refinement using Socratic method to develop fully-formed designs
obra/superpowers-skills 592
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Requesting Code Review
Dispatch code-reviewer subagent to review implementation against plan or requirements before proceeding
obra/superpowers-skills 592
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Writing Plans
Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context
obra/superpowers-skills 592
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Subagent-Driven Development
Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks
obra/superpowers-skills 592
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Executing Plans
Execute detailed plans in batches with review checkpoints
obra/superpowers-skills 592