# Language Specialists > Language Specialists - Skill: `dnyoussef/language-specialists` (Agent Skill, multi-file: 26 files) - Install (CLI): `npx skillmds@latest add dnyoussef/language-specialists` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/language-specialists/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/language-specialists --- /*============================================================================*/ /* LANGUAGE-SPECIALISTS SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: language-specialists version: 1.0.0 description: | [assert|neutral] Unified language specialists for Python and TypeScript development, providing expert guidance for modern backend APIs, type-safe development, async optimization, and framework integration (Django/Flas [ground:given] [conf:0.95] [state:confirmed] category: Specialized Development tags: - specialists - domain-expert author: ruv cognitive_frame: primary: evidential goal_analysis: first_order: "Execute language-specialists workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic Specialized Development processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "language-specialists", category: "Specialized Development", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["language-specialists", "Specialized Development", "workflow"], context: "user needs language-specialists capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Language Specialists - Gold Tier ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## When to Use This Skill - **Language-Specific Features**: Leveraging unique language capabilities - **Idiomatic Code**: Writing language-specific best practices - **Performance Optimization**: Using language-specific optimization techniques - **Type System**: Advanced TypeScript, Rust, or type system features - **Concurrency**: Language-specific async/parallel programming patterns - **Ecosystem Tools**: Language-specific linters, formatters, build tools ## When NOT to Use This Skill - **Cross-Language Work**: Polyglot projects requiring multiple languages - **Framework-Specific**: React, Django, Rails (use framework specialist instead) - **Algorithm Design**: Language-agnostic algorithmic work - **Generic Patterns**: Design patterns applicable across languages ## Success Criteria - [ ] Code follows language-specific style guide (PEP 8, Effective Go, etc.) - [ ] Language-specific linter passing (eslint, pylint, clippy) - [ ] Idiomatic patterns used (decorators, context managers, traits) - [ ] Type safety enforced (TypeScript strict mode, mypy, etc.) - [ ] Language-specific tests passing (pytest, jest, cargo test) - [ ] Performance benchmarks met - [ ] Documentation follows language conventions (JSDoc, docstrings, rustdoc) ## Edge Cases to Handle - **Version Differences**: Language version compatibility (Python 2 vs 3, ES5 vs ES6) - **Platform Differences**: OS-specific behavior (Windows vs Linux paths) - **Encoding Issues**: Unicode, character sets, binary data - **Dependency Hell**: Version conflicts or missing dependencies - **Memory Management**: GC tuning, manual memory management (Rust, C++) - **Concurrency Models**: GIL limitations, async runtime differences ## Guardrails - **NEVER** ignore language-specific warnings or deprecations - **ALWAYS** use language version managers (nvm, pyenv, rustup) - **NEVER** reinvent standard library functionality - **ALWAYS** follow language security best practices - **NEVER** disable type checking to make code compile - **ALWAYS** use language-native package managers - **NEVER** commit language-specific artifacts (node_modules, __pycache__) ## Evidence-Based Validation - [ ] Language-specific linter passes with zero warnings - [ ] Type checker passes (tsc --strict, mypy --strict) - [ ] Tests pass on target language version - [ ] Benchmarks show performance within acceptable range - [ ] Code review by language expert - [ ] Security scanner passes (npm audit, safety, cargo audit) - [ ] Documentation generated successfully Expert multi-language development suite for Python and TypeScript backend systems with comprehensive tooling, testing, and examples. ## Purpose This Gold tier skill provides unified access to Python and TypeScript specialists with production-ready resources, automated linting/validation scripts, configuration templates, comprehensive test suites, and real-world examples for multi-language repository development. ## When to Use This Skill Activate this skill when: - Building multi-language backend services (Python + TypeScript) - Setting up monorepo with Python and Node.js components - Migrating between Python and TypeScript - Requiring language-specific best practices and tooling - Setting up CI/CD for polyglot projects - Implementing type-safe APIs across languages ## Nested Specialist Skills This parent skill orchestrates two specialized sub-skills: 1. **Python Specialist** (`python-specialist/`) - FastAPI, Django, Flask backend development - Async/await optimization with asyncio - Type hints and mypy validation - Performance profiling with cProfile - pytest testing and coverage 2. **TypeScript Specialist** (`typescript-specialist/`) - Nest.js and Express API development - Advanced TypeScript types (generics, mapped types, conditional types) - npm package creation and monorepo management - Jest/Vitest tes /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/Specialized Development/language-specialists/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "language-specialists-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] LANGUAGE_SPECIALISTS_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]