{
  "markdown": "# Juicify\n\nTurn experience into reusable insight.\n\nJuicify is a Claude Code plugin with two complementary skills for extracting and crystallizing knowledge:\n\n- **skill-juice** — Extract design wisdom from any skill or plugin through a 6-lens analysis framework\n- **work-juice** — Crystallize your completed work into structured case study reports\n\n## Installation\n\n```bash\n# Add the marketplace\n/plugin marketplace add hminnnnnn/juicify\n\n# Install the plugin\n/plugin install juicify\n```\n\n## Skills\n\n### skill-juice\n\nAnalyze any skill to understand *why* it works, not just *what* it does. Extracts insights across 6 lenses:\n\n| Lens | What it extracts |\n|------|-----------------|\n| Design Philosophy | Worldview, core principles, root problem |\n| Systems Thinking | Structural patterns, feedback loops, separation of concerns |\n| Engineering Techniques | Reusable techniques with source citations |\n| Prompt Design | LLM instruction patterns, Theory of Mind usage |\n| User Experience | Input flexibility, feedback loops, error handling |\n| Apply to Your Work | Concrete, actionable insights for your current project |\n\n**Usage:**\n\n```bash\n/juicify:skill-juice brainstorming          # deep mode (default)\n/juicify:skill-juice brainstorming quick    # quick mode (3 lenses)\n/juicify:skill-juice ~/.claude/skills/my-skill deep\n/juicify:skill-juice https://github.com/someone/skill-repo\n```\n\n**Output:** Juice Note saved to `docs/juice-notes/YYYY-MM-DD-{skill-name}.md` + session summary.\n\n### work-juice\n\nTurn completed work cycles (issue → analysis → improvement → verification) into structured case study reports.\n\n**Usage:**\n\n```bash\n/juicify:work-juice latest    # Report on the most recent case\n/juicify:work-juice select    # Choose from multiple cases in the session\n/juicify:work-juice           # Interactive mode selection\n```\n\n**Output:** Case study report saved to `docs/reports/YYYY-MM-DD-{topic}.md`\n\n**Report structure:** Summary → Discovery → Root Cause → Options Considered → Implementation → Verification → Lessons Learned\n\n## Why Juicify?\n\nMost people install a skill, use it, and move on. That's borrowing someone else's tool. Juicify helps you **absorb the wisdom behind the tool** — why was it designed this way? What thinking patterns are baked in?\n\nSimilarly, most work gets done and forgotten. Juicify helps you **turn every work cycle into a reusable lesson** — what did you discover? What would you do differently?\n\n## Multilingual Support\n\nBoth skills respond in the user's language. The skill body is written in Korean, but output adapts to your conversation language.\n\n## License\n\nMIT\n",
  "bytes": 2613,
  "sha": "7a6b45a7b94211b74f327cc512c1f80eac6741b900dc0bea837f2789f927e1e9",
  "repo_slug": "hminnnnnn/juicify",
  "fonte": "repo",
  "truncated": false,
  "api": "https://agentalog.com/api/listings/plg_hminnnnnn_juicify_juicify_87f0ac2a/readme"
}