model-advisor
Recommends the optimal Claude model based on task requirements and cost analysis
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
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Recommends the optimal Claude model based on task requirements and cost analysis
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Connect the user's Akashi second brain (local, private, verifiable) over MCP and answer from cited vault passages with signed provenance. Query it BEFORE answering anything about the user's knowledge, projects, decisions, or conventions. Triggers - akashi, vault, my notes, second brain, remember this, what did I decide.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Monitor API health and assert endpoint status with ZK proofs
Semantic code review with provable assertions about code quality
Audit project dependencies with verifiable security assertions
| name | model-advisor |
| description | Recommends the optimal Claude model based on task requirements and cost analysis |
| type | semantic |
| user-invocable | true |
| semantic | {"skillVersion":1,"permissions":{"graph":["read"],"memory":["recall"]},"queries":[{"predicate":"advisor:recommendation","scope":"agent"}]} |
Recommends the optimal Claude model based on task requirements, complexity analysis, and cost efficiency.
Use when choosing between Claude models for a specific task, when optimizing API costs, or when you need guidance on which model best fits a workload profile.
| Model | Input | Output | Best For |
|---|---|---|---|
| Opus 4.6 | $15/MTok | $75/MTok | Complex reasoning, research, multi-step analysis, code architecture, creative writing |
| Sonnet 4.6 | $3/MTok | $15/MTok | Coding, general tasks, data analysis, moderate complexity |
| Haiku 4.5 | $0.80/MTok | $4/MTok | Classification, extraction, simple Q&A, high volume, low latency |
skill_memory_context