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{
"name": "suggestion-engine",
"description": "A systematic process for recording, analyzing, and implementing user suggestions for system improvement.",
"tags": [
"optimization",
"feedback",
"roadmap",
"dev"
],
"category": "general",
"created": "2026-06-18T01:22:19.666Z",
"updated": "2026-06-24T21:58:03.530Z",
"content": "---\nname: suggestion-engine\ndescription: A systematic process for recording, analyzing, and implementing user suggestions for system improvement.\ntags: [optimization, feedback, roadmap, dev]\n---\n\n# Suggestion Engine Workflow\n\nThis skill provides a structured framework to ensure user ideas are not lost and are implemented with architectural integrity.\n\n## 📋 1. Recording Process\nEvery suggestion must be logged into the `suggestion_log.json` with the following schema:\n- **ID**: Unique incremental ID.\n- **Timestamp**: ISO date.\n- **Category**: (UI/UX, Performance, Security, Feature, Logic).\n- **Description**: Detailed user request.\n- **Status**: `proposed` | `analyzing` | `implementing` | `completed` | `rejected`.\n- **Priority**: `low` | `medium` | `high` | `critical`.\n\n## ⚙️ 2. Analysis Framework\nBefore implementing a suggestion, the AI must perform a \"Impact Analysis\":\n1. **Dependency Check**: Which modules are affected?\n2. **Security Audit**: Does this introduce a new attack vector?\n3. **Performance Cost**: Will this increase latency or memory bloat?\n4. **UI Consistency**: Does this align with the existing design language?\n\n## 🚀 3. Implementation Cycle\n1. **Propose**: Define the technical approach.\n2. **Draft**: Modify the module code (using `edit_module`).\n3. **Test**: Run `test_module` to verify correctness.\n4. **Verify**: User confirmation of the improvement.\n5. **Archive**: Update status to `completed` and document the change.\n\n## 🛠️ Commands Reference\n- `suggestion-log` -> List all current suggestions.\n- `suggestion-add [text]` -> Append new idea to log.\n- `suggestion-promote [id]` -> Move from proposed to analyzing.\n"
}
|
