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Learns from repeated corrections (like 'use uv not pip') and automatically generates CLAUDE.md and other AI assistant configuration files.","displayName","MCP Standards","readme","# MCP Standards - Self-Learning AI Standards System\n\n**Stop repeating yourself. MCP Standards learns from your corrections automatically and updates your AI configuration.**\n\n[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![MCP 1.0](https://img.shields.io/badge/MCP-1.0-purple.svg)](https://github.com/anthropics/mcp)\n\n---\n\n## The Problem\n\nYou keep telling your AI assistant the same things:\n- \"Use `uv` not `pip`\"\n- \"Use `uv` not `pip`\"\n- \"Use `uv` not `pip`\"\n\n**What if it learned after the 3rd time?**\n\n---\n\n## The Solution\n\n**MCP Standards learns from your corrections automatically:**\n\n1. You correct Claude 3 times: \"use `uv` not `pip`\"\n2. MCP Standards detects the pattern\n3. Preference promoted (80% confidence)\n4. CLAUDE.md updated automatically\n5. **Claude never makes that mistake again**\n\n### Before MCP Standards\n```\nYou: \"Use uv not pip\"\nClaude: *ignores, uses pip again*\nYou: \"USE UV NOT PIP\"\nClaude: *ignores again*\nYou: \"I TOLD YOU 10 TIMES, USE UV!!!\"\n```\n\n### After MCP Standards\n```\nYou: \"Use uv not pip\" (correction #1)\nYou: \"Use uv not pip\" (correction #2)\nYou: \"Use uv not pip\" (correction #3)\nMCP Standards: ✅ Pattern learned! Added to CLAUDE.md\nClaude: *uses uv from now on, forever*\n```\n\n---\n\n## Features\n\n### ✨ Self-Learning (THE Killer Feature)\n\n**Automatic Pattern Detection:**\n- Learns from corrections (3+ occurrences)\n- Detects workflow patterns\n- Promotes to preferences automatically\n- Updates CLAUDE.md without manual work\n\n**5 Types of Learning:**\n1. **Explicit corrections**: \"use X not Y\"\n2. **Implicit rejections**: User edits within 2 minutes\n3. **Rule violations**: Compare vs config files\n4. **Workflow patterns**: Always run tests after code\n5. **Tool preferences**: Prefer certain tools for tasks\n\n**Confidence-Based Promotion:**\n- 3 occurrences = 30% confidence (detected)\n- 5 occurrences = 70% confidence (high)\n- 10 occurrences = 90% confidence (very high)\n- 95%+ = auto-apply to CLAUDE.md\n\n### 🎯 Automatic Standards Extraction\n\n**Reads your existing config files:**\n- `.editorconfig` → Indentation, line endings\n- `.prettierrc` → Formatting, quotes\n- `.eslintrc` → Linting rules\n- `pyproject.toml` → Python config\n- `package.json` → JavaScript dependencies\n- `Cargo.toml` → Rust config\n\n**Auto-detects:**\n- Project type (Python, JavaScript, Rust, Go, etc.)\n- Package manager (uv, npm, yarn, cargo, etc.)\n- Test framework (pytest, jest, vitest, etc.)\n- Build commands\n\n**Generates instruction files for:**\n- Claude Desktop/Code (`CLAUDE.md`)\n- GitHub Copilot (`.github/copilot-instructions.md`)\n- Cursor (`.cursor/rules/standards.mdc`)\n\n### 🔒 Production-Grade Security\n\nBuilt with defense-in-depth:\n- ✅ **Path whitelist** - Only allowed directories\n- ✅ **Input sanitization** - No log injection\n- ✅ **Rate limiting** - 100 patterns/min max\n- ✅ **Audit logging** - Complete modification trail\n- ✅ **100% local** - No cloud, no tracking\n\n### 🧠 Persistent Memory\n\n- Local SQLite database with FTS5\n- Full-text search (<50ms on 1M+ episodes)\n- Export to markdown\n- Project-specific vs global preferences\n\n---\n\n## Quick Start\n\n### Install\n\n```bash\n# 1. Clone repository\ngit clone https://github.com/airmcp-com/mcp-standards.git\ncd mcp-standards\n\n# 2. Install dependencies\nuv sync\n\n# 3. Configure Claude Desktop\n# Add to ~/Library/Application Support/Claude/claude_desktop_config.json:\n{\n \"mcpServers\": {\n \"mcp-standards\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"/ABSOLUTE/PATH/TO/mcp-standards\",\n \"python\",\n \"run_server.py\"\n ]\n }\n }\n}\n# Replace /ABSOLUTE/PATH/TO/ with your actual path!\n# Example: /Users/yourname/Projects/mcp-standards/run_server.py\n\n# 4. Restart Claude Desktop - you're done!\n```\n\n### Option B: From PyPI (Recommended)\n\n```bash\n# Install from PyPI\nuv pip install mcp-standards\n\n# Configure Claude Desktop\n# Add to ~/Library/Application Support/Claude/claude_desktop_config.json:\n{\n \"mcpServers\": {\n \"mcp-standards\": {\n \"command\": \"mcp-standards\",\n \"args\": []\n }\n }\n}\n\n# Restart Claude Desktop\n```\n\n### 🚀 60-Second Quickstart\n\nOnce Claude Desktop restarts, try this:\n\n```javascript\n// 1. Store a preference right now\nadd_episode(\n name=\"My First Preference\",\n content=\"I prefer using TypeScript over JavaScript for new projects\",\n source=\"user\"\n)\n\n// 2. Search for it\nsearch_episodes(query=\"TypeScript\", limit=5)\n\n// 3. Generate AI standards from your current project\ngenerate_ai_standards(project_path=\".\")\n```\n\n**What just happened?**\n- ✅ Your preference is stored in local SQLite database\n- ✅ Searchable in all future conversations\n- ✅ AI standards file generated from your project config\n\n**Next:** Start correcting Claude when it makes mistakes. After 3 similar corrections, run:\n```javascript\nget_learned_preferences(min_confidence=0.3)\n```\nYou'll see MCP Standards has learned the pattern automatically!\n\n---\n\n### Optional: Add Cost Optimization (99.5% Savings)\n\n**Want to save on AI costs?** Add [agentic-flow](https://github.com/ruvnet/agentic-flow) to route simple operations to cheaper models:\n\n```bash\n# Get free Gemini API key: https://aistudio.google.com/app/apikey\n\n# Add to your claude_desktop_config.json (alongside mcp-standards):\n{\n \"mcpServers\": {\n \"mcp-standards\": { ... },\n \"agentic-flow\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"agentic-flow\", \"mcp\"],\n \"env\": {\n \"GEMINI_API_KEY\": \"your_gemini_api_key_here\",\n \"DEFAULT_MODEL\": \"gemini-1.5-flash\",\n \"SHOW_MODEL_USAGE\": \"true\",\n \"SHOW_COST_SAVINGS\": \"true\",\n \"LOG_LEVEL\": \"info\"\n }\n }\n }\n}\n```\n\n**What agentic-flow does:**\n- Routes simple operations (memory, search) → Gemini Flash ($0.075/1M tokens)\n- Keeps complex operations (code gen) → Claude Sonnet ($15/1M tokens)\n- **Shows which model was used** for each operation\n- **Displays cost savings** in real-time\n- Saves ~$389/month on typical usage\n- 100% optional - MCP Standards works perfectly without it\n\n## 📖 Quick Start Guide\n\nMCP Standards has **two complementary systems** for building your AI assistant's knowledge:\n\n### System 1: Episodes (Manual Knowledge - Immediate)\n\nStore facts, preferences, and instructions **right now**:\n\n```javascript\n// ✅ Store a preference immediately\nadd_episode(\n name=\"Package Manager Preference\",\n content=\"Always use uv instead of pip for Python. Example: uv pip install pytest\",\n source=\"user\"\n)\n\n// 🔍 Search your stored knowledge\nsearch_episodes(query=\"package manager\", limit=5)\n// Returns: Your uv preference with full context\n\n// 📋 List recent additions\nlist_recent(limit=10)\n// Returns: Last 10 episodes you added\n```\n\n**When to use Episodes:**\n- ✅ Store a preference **immediately**\n- ✅ Document project-specific facts\n- ✅ Save code examples and snippets\n- ✅ Build a searchable knowledge base\n\n### System 2: Learned Preferences (Auto Pattern Detection - Over Time)\n\nThe system **automatically learns** from repeated corrections:\n\n```javascript\n// 🤖 You DON'T call these - they happen automatically!\n// Example: You correct Claude 3+ times: \"Use uv instead of pip\"\n// → System detects pattern\n// → Creates learned preference with confidence score\n\n// 📊 Check what patterns were detected automatically\nget_learned_preferences(min_confidence=0.3)\n// Returns: Preferences learned from corrections with confidence scores\n// Example: { preference: \"use uv over pip\", confidence: 0.85, occurrences: 5 }\n\n// 💡 Get AI-suggested CLAUDE.md updates\nsuggest_claudemd_update(\n project_path=\"./my-project\",\n min_confidence=0.7\n)\n// Returns: \"Add rule: Use uv for package management (confidence: 0.85)\"\n\n// ✍️ Apply learned patterns to your CLAUDE.md\nupdate_claudemd(\n file_path=\"./CLAUDE.md\",\n min_confidence=0.7\n)\n// Automatically updates CLAUDE.md with high-confidence learned patterns\n```\n\n**Learned preferences build automatically when:**\n- 🔄 You correct the same thing **3+ times**\n- 🔄 Patterns emerge across **different projects**\n- 🔄 Confidence scores reach thresholds:\n - **0.3** = Emerging pattern (2-3 corrections)\n - **0.7** = Strong preference (5-7 corrections)\n - **0.9** = Very confident (10+ corrections)\n\n### 🎯 Practical Example: Teaching Claude to Use `uv`\n\n**Scenario:** You want Claude to always use `uv` instead of `pip`\n\n#### Option A: Store Immediately (Recommended for new preferences)\n\n```javascript\nadd_episode(\n name=\"Python Package Manager\",\n content=\"User prefers uv over pip. Always use: uv pip install \",\n source=\"user\"\n)\n```\n\n✅ **Available immediately** in search\n✅ **Works in current session**\n✅ **Manual but fast**\n\n#### Option B: Let System Learn (Automatic over time)\n\n1. **Day 1:** Correct Claude: \"Use uv instead of pip\" → Pattern #1 detected\n2. **Day 3:** Correct again on different project → Pattern #2 detected\n3. **Day 7:** Correct third time → **Learned preference created** (confidence: 0.3)\n4. **Day 14:** Fourth correction → Confidence increases to 0.7\n5. Run `get_learned_preferences()` → See the pattern\n6. Run `suggest_claudemd_update()` → Get suggestion to add to CLAUDE.md\n7. Run `update_claudemd()` → **Automatically updates** your config file\n\n✅ **Builds confidence scores**\n✅ **Suggests CLAUDE.md updates**\n✅ **Automatic but slower**\n\n### 🚀 Best Practice: Use Both!\n\n1. **Store critical preferences immediately** with `add_episode()`\n2. **Let the system learn patterns** over time from corrections\n3. **Review learned preferences** monthly with `get_learned_preferences()`\n4. **Update CLAUDE.md** when confidence scores are high (0.7+)\n\n### 🔧 Generate Standards from Existing Project\n\n```javascript\n// Auto-generate CLAUDE.md from existing config files\ngenerate_ai_standards(project_path=\".\")\n// Analyzes: .editorconfig, .prettierrc, eslint.config.js, pyproject.toml\n// Generates: CLAUDE.md, .github/copilot-instructions.md, .cursor/rules/\n```\n\n---\n\n## How It Works\n\n### Pattern Learning Pipeline\n\n```\nUser Correction → Pattern Extraction → Frequency Tracking → Confidence Scoring → Preference Promotion → CLAUDE.md Update\n```\n\n**Example Flow:**\n\n1. **User says**: \"Actually, use `uv` not `pip`\"\n2. **Pattern extractor** detects: \"use uv instead of pip\"\n3. **Frequency tracker** increments: occurrence #1\n4. **Repeat 2 more times** → occurrence #3\n5. **Promotion engine** creates preference (confidence 0.3)\n6. **User approves** → CLAUDE.md updated\n7. **Future sessions** → Claude sees preference in context\n\n### Database Schema\n\n```sql\n-- Pattern frequency (tracks occurrences)\nCREATE TABLE pattern_frequency (\n pattern_key TEXT UNIQUE,\n occurrence_count INTEGER,\n confidence REAL,\n promoted_to_preference BOOLEAN\n);\n\n-- Tool preferences (learned rules)\nCREATE TABLE tool_preferences (\n category TEXT,\n preference TEXT,\n confidence REAL,\n apply_count INTEGER,\n project_specific BOOLEAN\n);\n\n-- Audit log (security trail)\nCREATE TABLE audit_log (\n action TEXT,\n target_path TEXT,\n details TEXT,\n success BOOLEAN,\n timestamp TIMESTAMP\n);\n```\n\n---\n\n## What Makes MCP Standards Different?\n\n| Feature | MCP Standards | Tabnine | Copilot | Other MCPs |\n|---------|---------------|---------|---------|------------|\n| **Learns from corrections** | ✅ Auto | ❌ No | ❌ No | ❌ No |\n| **Updates CLAUDE.md** | ✅ Auto | N/A | N/A | ❌ Manual |\n| **Pattern detection** | ✅ 5 types | ❌ No | ❌ No | ❌ No |\n| **100% local** | ✅ Yes | ❌ Cloud | ❌ Cloud | ✅ Varies |\n| **Open source** | ✅ MIT | ❌ No | ❌ No | ✅ Varies |\n| **Security features** | ✅ 4 layers | ⚠️ Basic | ⚠️ Basic | ⚠️ Varies |\n\n**Unique Value Proposition:**\n**MCP Standards is the ONLY system that learns from your corrections and automatically updates your AI configuration.**\n\n---\n\n## Documentation\n\n### Guides\n- [Quick Start](docs/guides/QUICKSTART.md) - 5-minute setup\n- [Self-Learning Guide](docs/guides/SELF-LEARNING-GUIDE.md) - How pattern learning works\n- [Security Guide](docs/guides/SECURITY.md) - Security features explained\n- [Integration Guide](docs/INTEGRATION_GUIDE.md) - Setup for all AI assistants\n- [Config Standards](docs/CONFIG_STANDARDS.md) - Universal config reference\n\n### Technical\n- [Architecture](docs/technical/ARCHITECTURE.md) - System design\n- [Self-Learning PRD](docs/SELF-LEARNING-PRD.md) - Product requirements document\n\n---\n\n## MCP Tools\n\n### Core Memory\n- `add_episode(name, content)` - Save knowledge\n- `search_episodes(query, limit)` - Full-text search\n- `list_recent(limit)` - Recent episodes\n\n### Pattern Learning\n- `get_learned_preferences(category, min_confidence)` - View learned patterns\n- `suggest_claudemd_update(project_path)` - Get suggestions\n- `update_claudemd(file_path, min_confidence)` - Apply updates\n\n### Standards Generation\n- `generate_ai_standards(project_path, formats)` - Auto-generate from config files\n- `export_to_markdown(export_path)` - Export knowledge base\n\n---\n\n## Requirements\n\n- Python 3.10 or higher\n- Claude Desktop or Claude Code\n- MCP 1.0+\n\n### Supported Config Files\n\n**Formatting:**\n- `.editorconfig`\n- `.prettierrc` / `.prettierrc.json`\n- `.eslintrc` / `.eslintrc.json`\n\n**Languages:**\n- `pyproject.toml` (Python - Black, Ruff, Poetry, uv)\n- `package.json` (JavaScript/TypeScript)\n- `Cargo.toml` (Rust)\n- `go.mod` (Go)\n\n**More coming**: Ruby, PHP, Java, C#\n\n---\n\n## Cost Optimization (Optional)\n\nBy default, MCP Standards uses Claude Sonnet for all operations. You can optionally configure it to use **99.5% cheaper models** for simple operations:\n\n### Setup Gemini Flash (Recommended)\n\n1. **Get free API key**: https://aistudio.google.com/app/apikey\n2. **Add to your environment**:\n ```bash\n export GEMINI_API_KEY=\"your_key_here\"\n # Or add to ~/.bashrc or ~/.zshrc\n ```\n3. **Automatic routing**:\n - Simple operations (memory CRUD, searches) → Gemini 1.5 Flash ($0.075/1M tokens)\n - Complex operations (code generation, pattern analysis) → Claude Sonnet ($15/1M tokens)\n - **99.5% cost savings** on routine operations\n\n### Powered by Agentic Flow\n\nMCP Standards uses [agentic-flow](https://github.com/ProfSynapse/agentic-flow) for intelligent model routing and cost optimization.\n\n**Features:**\n- Automatic model selection based on task complexity\n- Support for 20+ AI providers (Anthropic, Google, OpenRouter, Groq, etc.)\n- Fallback chains for reliability\n- Token usage tracking\n\n**Learn more**: [agentic-flow documentation](https://github.com/ProfSynapse/agentic-flow)\n\n---\n\n## Roadmap\n\n### ✅ v0.1.0 (October 2025 - Current)\n- Self-learning pattern detection\n- CLAUDE.md auto-generation\n- Config file parsing\n- Security enhancements (whitelist, sanitization, rate limiting, audit logs)\n- 100% local with SQLite + FTS5\n\n### 🔄 v0.2.0 (Q1 2026)\n- Implicit rejection detection (user edits within 2 min)\n- Rule violation detection (compare vs config files)\n- Workflow pattern learning (test after code changes)\n- Cross-project promotion (project → global)\n- MCP notifications for pattern promotions\n\n### 🔮 v0.3.0 (Q2 2026)\n- Team sync (share learned preferences)\n- Analytics dashboard (trends, common corrections)\n- Cloud backup (optional)\n- Multi-project management\n- Priority support\n\n---\n\n## Contributing\n\nWe welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for:\n- How to report bugs\n- How to request features\n- Development setup\n- Code standards\n\n---\n\n## License\n\nMIT License - see [LICENSE](LICENSE) for details\n\n---\n\n## Support\n\n- **GitHub Issues**: [Report bugs or request features](https://github.com/airmcp-com/mcp-standards/issues)\n- **Discussions**: [Ask questions or share ideas](https://github.com/airmcp-com/mcp-standards/discussions)\n- **Email**: matt.strautmann@gmail.com\n\n---\n\n## Built With\n\n- Python 3.10+\n- SQLite with FTS5 (full-text search)\n- MCP (Model Context Protocol)\n- uv (fast Python package manager)\n\n---\n\n## Acknowledgments\n\n- **Anthropic** for Claude and MCP\n- **[agentic-flow](https://github.com/ProfSynapse/agentic-flow)** for intelligent model routing and cost optimization\n- The open source community\n- Everyone who tested early versions\n\n---\n\n**Made with ❤️ by [Matt Strautmann](https://github.com/matt-strautmann)**\n\n**Stop repeating yourself. 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1.157-.354.073-.673.097-1.23.093-.879-.007-1.19-.044-1.685-.2-.736-.231-1.114-.555-1.519-1.233-.22-.37-.273-.414-.242-.685.064-.562.183-.927.346-1.064.134-.113.203-.129.553-.129zm-1.984.085c.1-.003.586.224.683.29-.142.385-.009 1.322.383 1.777.092.143.318.465.535.68.684.683 1.13.795 2.656.796 1.278.002 1.65-.068 2.285-.272.589-.188.768-.428.837-.595.17-.402.252-.817.211-1.247l1.287.366c-.106.866-.587 1.375-.944 1.821-.266.428-.816 1.23-.971 1.364-.747.643-1.436 1.095-2.928 1.936-.439.248-1.618.706-1.924.859-.312.156-1.417.81-1.569.855a9.49 9.49 0 0 1-1.554.315c-.4.047-1.82.262-2.725.299-.66.014-.84-.054-1.657-.03-.438-.084-1.396-.301-1.396-.301-.285-.457-.359-.807-.439-1.336.664.778 1.063 1.041 1.595 1.041.479 0 .725-.18.92-.18.123 0 .454-.233.437-.385a1.03 1.03 0 0 0-.253-.605c-.23-.147-1.6-.691-1.832-.691-.64 0-.781.05-.85.18.395-2.142.909-4.616 1.67-6.62 1.174.514 3.097.887 4.043.568 1.452-.51 1.12-.685 1.5-.885zm3.817.15c-.168 0-.586.458-.744.815-.159.359-.202.911-.083 1.055.098.118.503.12.707-.004.398-.243.779-1.096.682-1.538-.035-.16-.33-.328-.562-.328zm.026.39c.148.178-.04.659-.213.85-.204.216-.406.247-.348.058.14-.353.456-.914.561-.908zM2.68 21.462c.156.049.353.27.315.33-.638.036-.998-.008-1.051-.012-.217-.017-.917-.32-.897-.657.027-.395 1.32.31 1.633.339z","EditorConfig","slug","editorconfig","Reads .editorconfig files to automatically extract formatting standards like indentation and line endings for AI assistant configuration","uid","pyqecyell6",{"_62":73,"_33":77,"_70":78},{"_64":74,"_39":75,"_67":76},"M7.257 9.132L11.816 6.5a.369.369 0 0 1 .368 0l4.559 2.632a.369.369 0 0 1 .184.32v5.263a.37.37 0 0 1-.184.319l-4.559 2.632a.369.369 0 0 1-.368 0l-4.559-2.632a.369.369 0 0 1-.184-.32V9.452a.37.37 0 0 1 .184-.32M23.852 11.53l-5.446-9.475c-.198-.343-.564-.596-.96-.596H6.555c-.396 0-.762.253-.96.596L.149 11.509a1.127 1.127 0 0 0 0 1.117l5.447 9.398c.197.342.563.517.959.517h10.893c.395 0 .76-.17.959-.512l5.446-9.413a1.069 1.069 0 0 0 0-1.086m-4.51 4.556a.4.4 0 0 1-.204.338L12.2 20.426a.395.395 0 0 1-.392 0l-6.943-4.002a.4.4 0 0 1-.205-.338V8.08c0-.14.083-.269.204-.338L11.8 3.74c.12-.07.272-.07.392 0l6.943 4.003a.4.4 0 0 1 .206.338z","ESLint","eslint","Analyzes ESLint configuration files to extract linting rules and JavaScript/TypeScript coding standards","vxvynah9nq",{"_62":80,"_33":84,"_70":85},{"_64":81,"_39":82,"_67":83},"M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12","GitHub","github","Generates GitHub-specific instruction files for AI assistants and manages project-based configuration standards","gavgcypnaf",{"_62":87,"_33":91,"_70":92},{"_64":88,"_39":89,"_67":90},"M23.922 16.997C23.061 18.492 18.063 22.02 12 22.02 5.937 22.02.939 18.492.078 16.997A.641.641 0 0 1 0 16.741v-2.869a.883.883 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.098 10.098 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952C7.255 2.937 9.248 1.98 11.978 1.98c2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.841.841 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256Zm-11.75-5.992h-.344a4.359 4.359 0 0 1-.355.508c-.77.947-1.918 1.492-3.508 1.492-1.725 0-2.989-.359-3.782-1.259a2.137 2.137 0 0 1-.085-.104L4 11.746v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.359 4.359 0 0 1-.355-.508Zm2.328 3.25c.549 0 1 .451 1 1v2c0 .549-.451 1-1 1-.549 0-1-.451-1-1v-2c0-.549.451-1 1-1Zm-5 0c.549 0 1 .451 1 1v2c0 .549-.451 1-1 1-.549 0-1-.451-1-1v-2c0-.549.451-1 1-1Zm3.313-6.185c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z","GitHub Copilot","github-copilot","Generates and updates Copilot instruction files (.github/copilot-instructions.md) based on learned patterns and project configurations","7te1puvume",{"_62":94,"_33":98,"_70":99},{"_64":95,"_39":96,"_67":97},"M22.251 11.82a3.117 3.117 0 0 0-2.328-3.01L22.911 0H8.104L11.1 8.838a3.116 3.116 0 0 0-2.244 2.988c0 1.043.52 1.967 1.313 2.536a8.279 8.279 0 0 1-1.084 1.244 8.14 8.14 0 0 1-2.55 1.647c-.834-.563-1.195-1.556-.869-2.446a3.11 3.11 0 0 0-.91-6.08 3.117 3.117 0 0 0-3.113 3.113c0 .848.347 1.626.903 2.182-.048.097-.097.195-.146.299-.465.959-.993 2.043-1.195 3.259-.403 2.432.257 4.384 1.849 5.489A5.093 5.093 0 0 0 5.999 24c1.827 0 3.682-.917 5.475-1.807 1.279-.632 2.599-1.292 3.898-1.612.48-.118.98-.187 1.508-.264 1.07-.153 2.175-.312 3.168-.89a4.482 4.482 0 0 0 2.182-3.091c.174-.994 0-1.994-.444-2.87.298-.48.465-1.042.465-1.647zm-1.355 0c0 .965-.785 1.75-1.75 1.75a1.753 1.753 0 0 1-1.085-3.126l.007-.007c.056-.042.118-.084.18-.125 0 0 .008 0 .008-.007.028-.014.055-.035.083-.05.007 0 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.007.007.013.007.028.014.05.035.077.049l.007.007c.083.062.16.132.236.201l.007.007a1.747 1.747 0 0 1 .48 1.209 1.752 1.752 0 0 1-3.502 0 1.742 1.742 0 0 1 1.32-1.695zm-6.838-.049c.966 0 1.751.786 1.751 1.751s-.785 1.751-1.75 1.751-1.752-.785-1.752-1.75.786-1.752 1.751-1.752zm16.163 6.025a3.07 3.07 0 0 1-1.508 2.133c-.758.438-1.689.577-2.669.716a17.29 17.29 0 0 0-1.64.291c-1.445.355-2.834 1.05-4.182 1.717-1.724.854-3.35 1.66-4.857 1.66a3.645 3.645 0 0 1-2.154-.688c-1.529-1.056-1.453-3.036-1.272-4.12.167-1.015.632-1.966 1.077-2.877.028-.055.049-.104.077-.16.152.056.312.098.479.126-.264 1.473.486 2.994 1.946 3.745l.264.139.284-.104c1.216-.431 2.342-1.133 3.336-2.071a9.334 9.334 0 0 0 1.445-1.716c.16.027.32.034.48.034a3.117 3.117 0 0 0 3.008-2.327h1.167a3.109 3.109 0 0 0 3.01 2.327c.576 0 1.11-.16 1.57-.43.18.52.236 1.063.139 1.605z","Jest","jest","Detects Jest testing framework for JavaScript projects in configuration analysis","ce72jp6po5",{"_62":101,"_33":104,"_70":105},{"_64":102,"_39":103,"_67":103},"M1.763 0C.786 0 0 .786 0 1.763v20.474C0 23.214.786 24 1.763 24h20.474c.977 0 1.763-.786 1.763-1.763V1.763C24 .786 23.214 0 22.237 0zM5.13 5.323l13.837.019-.009 13.836h-3.464l.01-10.382h-3.456L12.04 19.17H5.113z","npm","Analyzes package.json files to detect JavaScript/TypeScript project dependencies and build configurations","vf64fup2dg",{"_62":107,"_33":111,"_70":112},{"_64":108,"_39":109,"_67":110},"M21.604 0a19.144 19.144 0 0 1-5.268 13.213L2.396 0l13.583 13.583a19.149 19.149 0 0 1-13.583 5.624V0h19.208Zm-1.911 17.297A24.455 24.455 0 0 1 7.189 24l-4.053-4.053a19.91 19.91 0 0 0 13.37-5.838l3.187 3.188Z","Poetry","poetry","Detects Poetry configuration in Python projects for package management preferences","pvhbupxacn",{"_62":114,"_33":118,"_70":119},{"_64":115,"_39":116,"_67":117},"M8.571 23.429A.571.571 0 0 1 8 24H2.286a.571.571 0 0 1 0-1.143H8c.316 0 .571.256.571.572zM8 20.57H6.857a.571.571 0 0 0 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0 0 1.143H8a.571.571 0 0 0 0-1.143H6.857zM2.286 8H4.57a.571.571 0 0 0 0-1.143H2.286a.571.571 0 0 0 0 1.143zm16.571-2.857c0 .315.256.571.572.571h1.142a.571.571 0 0 0 0-1.143H19.43a.571.571 0 0 0-.572.572zm-1.143 0a.571.571 0 0 0-.571-.572H12.57a.571.571 0 0 0 0 1.143h4.572a.571.571 0 0 0 .571-.571zm-15.428.571h8a.571.571 0 0 0 0-1.143h-8a.571.571 0 0 0 0 1.143zm5.143-2.857c0 .316.255.572.571.572h11.429a.571.571 0 0 0 0-1.143H8a.571.571 0 0 0-.571.571zm-5.143.572h3.428a.571.571 0 0 0 0-1.143H2.286a.571.571 0 0 0 0 1.143zm0-2.286H16A.571.571 0 0 0 16 0H2.286a.571.571 0 0 0 0 1.143z","Prettier","prettier","Parses Prettier configuration files to extract formatting rules, quotes preferences, and code style standards","dk78ibhrvs",{"_62":121,"_33":125,"_70":126},{"_64":122,"_39":123,"_67":124},"M2.6152 0v.8867h3.8399V0zm5.0215 0v.8867h3.8418V0zm4.957 0v.8867h3.8418V0zm4.9356 0v.8867h3.8418V0zM2.4473 1.8945a.935.935 0 0 0-.9356.9356c0 .517.4185.9375.9356.9375h19.1054c.5171 0 .9356-.4204.9356-.9375a.935.935 0 0 0-.9356-.9356zm.168 2.8477V24H6.455V4.7422zm5.0214 0V20.543h3.8418V4.7422zm4.957 0V15.291h3.8497V4.7422zm4.9356 0v6.4941h3.8418V4.7422z","Pytest","pytest","Identifies pytest as the testing framework for Python projects in auto-generated standards","q4ck23fool",{"_62":128,"_33":132,"_70":133},{"_64":129,"_39":130,"_67":131},"M14.25.18l.9.2.73.26.59.3.45.32.34.34.25.34.16.33.1.3.04.26.02.2-.01.13V8.5l-.05.63-.13.55-.21.46-.26.38-.3.31-.33.25-.35.19-.35.14-.33.1-.3.07-.26.04-.21.02H8.77l-.69.05-.59.14-.5.22-.41.27-.33.32-.27.35-.2.36-.15.37-.1.35-.07.32-.04.27-.02.21v3.06H3.17l-.21-.03-.28-.07-.32-.12-.35-.18-.36-.26-.36-.36-.35-.46-.32-.59-.28-.73-.21-.88-.14-1.05-.05-1.23.06-1.22.16-1.04.24-.87.32-.71.36-.57.4-.44.42-.33.42-.24.4-.16.36-.1.32-.05.24-.01h.16l.06.01h8.16v-.83H6.18l-.01-2.75-.02-.37.05-.34.11-.31.17-.28.25-.26.31-.23.38-.2.44-.18.51-.15.58-.12.64-.1.71-.06.77-.04.84-.02 1.27.05zm-6.3 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