Codex Reasoning

/============================================================================/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/

name: SKILL version: 1.0.0 description: | [assert|neutral] Use GPT-5-Codex's specialized reasoning for alternative approaches and second opinions [ground:given] [conf:0.95] [state:confirmed] category: platforms tags:

• codex
• openai
• gpt-5-codex
• reasoning
• alternative-solutions author: system cognitive_frame: primary: compositional goal_analysis: first_order: "Execute SKILL workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic platforms processes"

/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/

[define|neutral] SKILL := { name: "SKILL", category: "platforms", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/

[define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [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: ["SKILL", "platforms", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/

Codex Reasoning Skill

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

Purpose

Leverage OpenAI's GPT-5-Codex model (optimized for agentic coding) to get alternative reasoning approaches, second opinions, and specialized algorithmic solutions that complement Claude's perspective.

Unique Capability

What This Adds: Different AI reasoning patterns. GPT-5-Codex is optimized for agentic coding workflows and may approach problems differently than Claude, providing valuable alternative perspectives and solutions.

When to Use

Perfect For:

✅ Getting a second opinion on architecture decisions ✅ Exploring alternative implementation approaches ✅ Algorithmic optimization problems ✅ When stuck on a problem (different perspective helps) ✅ Comparing solution approaches ✅ Code generation with different patterns ✅ Performance-critical implementations

Don't Use When:

❌ Claude's solution is clearly working (no need for alternatives) ❌ Simple tasks that don't benefit from multiple perspectives ❌ When consistency with existing Claude-generated code matters more

Usage

Second Opinion

/codex-reasoning "I'm implementing user authentication. What's your approach?"

Algorithm Optimization

/codex-reasoning "Optimize this sorting algorithm for large datasets with these constraints..."

Alternative Architecture

/codex-reasoning "What's an alternative way to structure this microservices communication?"

Why Use Both Models?

Claude Strengths:

• Deep reasoning and problem understanding
• Complex multi-step tasks
• Comprehensive documentation
• Reliability and error rate

GPT-5-Codex Strengths:

• Optimized for agentic coding
• Fast prototyping
• Different algorithmic approaches
• Good for one-shot prompting

Together: Get best of both worlds!

Real Examples

Example: Alternative Architecture

Claude suggests: Event-driven with message queue
Codex suggests: REST with polling + webhooks

Result: Hybrid approach combining benefits of both

Example: Algorithm Optimization

Claude: Recursive solution with memoization
Codex: Iterative solution with lookup table

Result: Codex approach 2x faster for this use case

Uses your ChatGPT Plus subscription. Use /model in Codex to switch to GPT-5-Codex.

See .claude/agents/codex-reasoning-agent.md for details.

Promise: <promise>SKILL_VERIX_COMPLIANT</promise>

/----------------------------------------------------------------------------/ /* 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/SKILL/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := { WHO: "SKILL-{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] SKILL_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]