shinyorg-reflector

Curated AI prompts for iOS and Swift development tasks, helping developers write better code with guided prompting strategies.

200 skills

Optimizes context usage and improves Claude integration performance. Targets React development workflows.

155 skills · 28 agents · 2 MCP servers

Production-ready Claude Code skills for Cloudflare, React, Tailwind CSS v4, and AI integrations. Accelerates full-stack development with modern tooling.

182 skills

Skills pack for AI-driven macOS development, system automation, and Apple platform integration.

181 skills

Claude skill for building accessible, styled UI components with DaisyUI and Tailwind CSS. Accelerates frontend development with pre-built design system.

170 skills

Implement computer vision and image processing in iOS using Apple's Vision framework. Covers object detection, face recognition, and barcode scanning.

86 skills · 1 MCP server

Light-prompt reflection skill. Single forcing question + structured journal capture. Path-B sibling of capture from megaprompt 08.

1 skill · 1 command · 1 agent

Full-lifecycle SDLC orchestrator: a 12-stage pipeline (SRS, architecture, spec, plan, build, eval, deploy, monitor, release) driven by specialized agents, persistent cross-session memory, auto-reflection, gate enforcement, and semantic skill mining that proposes new skills from recurring workflows.

45 skills · 27 agents · hooks

Analyze recent code changes via git history and extract software engineering lessons. Use when reflecting on work or asking 'what is the lesson here?'

1 skill

Self-learning system that captures corrections and updates CLAUDE.md

1 skill · 4 commands · hooks

Collection of commands that force LLM to reflect on previous response and output. Based on papers like Self-Refine and Reflexion. These techniques improve the output of large language models by introducing feedback and refinement loops.

3 skills · hooks

Private journaling MCP server with semantic search. Multi-section entries (reflections, observations, project notes, technical insights), local AI embeddings, and full-text retrieval.