claude

ai-coding-model-guidance

Cross-tool AI-coding model guidance — three strategist agents that help you reason about model selection in the non-Claude coding ecosystems: GitHub Copilot's model picker (completions / chat / coding agent / cloud agent + org model rules), OpenAI Codex (CLI + cloud model lineup, reasoning levels, /model), and xAI Grok (Grok 4.x lineup + the coding-tool surface). Teaches the DURABLE reasoning — task-complexity → reasoning-level → cost-tier → surface — over a single citation-grounded, dated lineup that is the marketplace's freshness anchor for non-Claude model facts. Volatile specifics (prices, context windows, picker availability) carry retrieval dates + a re-verify-at-use rider, and the agents fetch live before quoting. Seam: when the answer is a CLAUDE model or a Claude-app build, escalate to claude-app-engineering/claude-solution-architect — this plugin owns the non-Claude tools. Requires ravenclaude-core@>=0.7.0.

9 on GitHubby Matt Corbettv0.3.22MITupdated today
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Plugin ai-coding-model-guidance from marketplace ravenclaude in mcorbett51090/RavenClaude. Commands read from the repo's manifest — today.

What it installs

Skills (9)

  • codex-reasoning-level-calibration

    Calibrate the OpenAI Codex reasoning-level dial before recommending a model upgrade. Maps task type, failure mode, and budget to the right reasoning effort level — ensuring developers exhaust the reasoning dial on the current model before paying for a bigger SKU. Domain-specific to the Codex reasoni

  • coding-agent-task-scoping

    Scope an autonomous AI coding agent task so it is well-bounded, recoverable, and matched to the right model tier before it runs. Reach for this skill before any long, unsupervised, or multi-step agentic run — a poorly scoped task on a frontier model is both expensive and hard to debug.

  • context-window-planning

    Estimate a coding task's context demand and match it to a model tier whose window is sufficient, without quoting specific token counts that churn monthly. Reach for this skill when the task involves large codebases, long conversation histories, or multi-file agentic runs where context overflow would

  • copilot-surface-audit

    Audit a developer's GitHub Copilot configuration across all surfaces (completions, chat IDE, coding agent, cloud agent, mobile) to identify model gaps, plan mismatches, and org-policy constraints. Reach for this skill before recommending a Copilot model — surface and plan scope the answer, not just

  • grok-model-retirement-check

    Check whether a Grok model ID in active use has been retired or silently redirected, with special attention to billing consequences. Reach for this skill before any Grok recommendation and whenever a developer mentions a specific Grok model ID — retirement redirects can incur unexpected charges at t

  • lineup-freshness-sweep

    Check the ai-coding-model-guidance knowledge bank for stale entries and produce a prioritized refresh list. Reach for this skill when the knowledge bank's retrieval date is more than 4 weeks old, when a consumer reports a model discrepancy, or on the monthly researcher-reminder cadence.

  • multi-tool-model-comparison

    Compare model options across GitHub Copilot, OpenAI Codex, and xAI Grok for a single task when the developer has not committed to one ecosystem. Produces a structured side-by-side that surfaces availability, tier mapping, and key tradeoffs without naming specific volatile numbers.

  • org-policy-model-rules-audit

    Audit an organization's AI coding tool model-access policies across GitHub Copilot Business/Enterprise, OpenAI org-level controls, and xAI API governance. Reach for this skill when an enterprise team reports unexpected model access, when a compliance review requires documenting which models the org

  • quota-exhaustion-failover

    Hard gate when a coding agent/surface returns quota, rate-limit, weekly/monthly cap, spend-limit, or tokens-exhausted. Never silent-fail or blind-retry — try param/effort/scope levers before vendor failover, then traverse the vendor-neutral tier tree before naming a substitute SKU. Deep layer: codin

Subagents (3)

  • codex-model-strategist

    Use for choosing a model AND reasoning level in OpenAI Codex (CLI + cloud) — GPT-6 Luna / GPT-6.1 Sol, reasoning.mode pro on Sol (no *-pro slug). Reasons complexity → reasoning-level → cost before a SKU. Claude → claude-app-engineering.

  • copilot-model-strategist

    Use for choosing a model in GitHub Copilot's picker across surfaces (completion, Chat, coding agent, cloud, mobile), plus org rules and plan-gated availability. Reasons complexity → reasoning → cost → surface, scopes each claim to surface + date. 'Use/build Claude' → claude-app-engineering.

  • grok-model-strategist

    Use for choosing an xAI Grok model for coding — Grok 4.6 flagship/top, Grok 4.5 balanced (CLI-selectable). Same-SKU rungs differ on effort+perspective. grok-code-fast-1 retired 2026-05-15 and rebills. Seams to claude-app-engineering.

View source on GitHub mcorbett51090.github.io

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23 skills · 7 commands · 7 agents · hooks

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19 skills · 7 commands · 7 agents · hooks · LSP

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