# Platform > Platform - Skill: `dnyoussef/platform` (Agent Skill, multi-file: 13 files) - Install (CLI): `npx skillmds@latest add dnyoussef/platform` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/platform/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/platform --- /*============================================================================*/ /* PLATFORM SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: platform version: 2.1.0 description: | [assert|neutral] Platform services hub routing to Flow Nexus platform skills. Use for cloud AI platform management, neural network training, swarm deployment, and platform authentication. Routes to flow-nexus-neural, [ground:given] [conf:0.95] [state:confirmed] category: platforms tags: - general author: system cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute platform workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic platforms processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "platform", category: "platforms", version: "2.1.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Aspectual", source: "Russian", force: "Complete or ongoing?" } [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: ["platform", "platforms", "workflow"], context: "user needs platform capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Platform ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. Central hub for Flow Nexus platform services and cloud AI capabilities. ## Phase 0: Expertise Loading ```yaml expertise_check: domain: platform file: .claude/expertise/platform.yaml if_exists: - Load platform configurations - Load API patterns - Apply service quotas if_not_exists: - Flag discovery mode - Document patterns learned ``` ## When to Use This Skill Use platform when: - Training neural networks in cloud sandboxes - Deploying AI swarms to cloud - Managing Flow Nexus platform services - Setting up platform authentication - Integrating payment systems ## Sub-Skills | Skill | Use Case | |-------|----------| | flow-nexus-neural | Neural network training | | flow-nexus-platform | Platform management | | flow-nexus-swarm | Cloud swarm deployment | ## Routing Logic ```yaml routing: if "neural" or "training" or "ml": route_to: flow-nexus-neural if "swarm" or "deploy": route_to: flow-nexus-swarm if "auth" or "payment" or "sandbox": route_to: flow-nexus-platform default: route_to: flow-nexus-platform ``` ## MCP Requirements - **claude-flow**: Platform coordination - **memory-mcp**: State management ## Recursive Improvement Integration (v2.1) ### Eval Harness Integration ```yaml benchmark: platform-benchmark-v1 tests: - plat-001: Platform routing - plat-002: Service availability minimum_scores: routing_accuracy: 0.90 service_uptime: 0.99 ``` ### Memory Namespace ```yaml namespaces: - platform/services/{id}: Service configs - platform/metrics: Performance tracking - improvement/audits/platform: Skill audits ``` ### Uncertainty Handling ```yaml confidence_check: if confidence >= 0.8: - Route to appropriate service if confidence 0.5-0.8: - Present service options if confidence < 0.5: - Ask clarifying questions ``` ### Cross-Skill Coordination Works with: **flow-nexus-neural**, **flow-nexus-platform**, **flow-nexus-swarm** --- ## !! SKILL COMPLETION VERIFICATION (MANDATORY) !! - [ ] **Agent Spawning**: Spawned agent via Task() - [ ] **Agent Registry Validation**: Agent from registry - [ ] **TodoWrite Called**: Called with 5+ todos - [ ] **Work Delegation**: Delegated to agents **Remember: Skill() -> Task() -> TodoWrite() - ALWAYS** ## Core Principles 1. **Service Abstraction**: Platform services abstract away infrastructure complexity (E2B sandboxes, QUIC synchronization, GPU allocation) behind unified API interfaces, allowing agents to focus on neural network design rather than cloud resource management. 2. **Resource Efficiency Through Routing**: Intelligent routing minimizes unnecessary service hops - neural training requests go directly to flow-nexus-neural, swarm deployments to flow-nexus-swarm, avoiding generic platform overhead when domain-specific paths are available. 3. **Graceful Degradation with Confidence Scoring**: When routing confidence falls below 0.8, the system presents service options rather than making incorrect assumptions, preventing wasted computation on misrouted requests while maintaining user control. ## Anti-Patterns | Anti-Pattern | Why It Fails | Correct Approach | |--------------|--------------|------------------| | Hardcoding service endpoints | Breaks when Flow Nexus platform migrates infrastructure or updates API versions | Use platform routing logic to resolve services dynamically, load from expertise files | | Skipping Phase 0 expertise loading | Every request re-discovers service quotas, rate limits, and authentication patterns | Always check .claude/expertise/platform.yaml first, cache service configs in memory-mcp namespace | | Bypassing confidence checks (forcing routes <0.5) | Routes neural training to generic platform service, wasting GPU time on incorrect setup | Respect confidence thresholds, present options or ask clarifying questions when uncertain | ## Conclusion The /*----------------------------------------------------------------------------*/ /* 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/platforms/platform/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "platform-{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] PLATFORM_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]