agent-launcher-orchest…
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a…
/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms.
$ npx -y skills add alirezarezvani/claude-skills --skill cross-eval --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cross-evalContext preview
The summary Claude sees to decide when to auto-load this skill.
/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms.
name: "cross-eval" description: "/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms."
**Command:** `/cs:cross-eval <memo-or-brief>`
Runs the same memo through multiple model providers and reconciles divergences. Use for **high-stakes, irreversible decisions** where single-model bias is too costly: M&A, major fundraises, layoffs, strategic pivots, regulatory commitments.
Adapted from gstack's `/codex` cross-review pattern, generalized to **business memos** instead of code PRs.
The command tries to invoke each available model in order:
1. **Claude** (primary, always available) — the boardroom's native voice 2. **Codex / OpenAI** (if `OPENAI_API_KEY` or `codex` CLI available) 3. **Gemini** (if `GEMINI_API_KEY` or `gemini` CLI available)
If only Claude is available, the command runs **Claude-only with adversarial mode** — same model, different prompt seeds — and clearly labels the output as single-model.
1. Read the memo / brief 2. Probe environment for available model CLIs / API keys 3. For each available model:
> "You are an independent C-suite reviewer. The following is a board memo from another company's boardroom. Identify the top 3 concerns, the top 3 supports, and your vote (APPROVE / REJECT / DEFER). Do not deferentially agree — assume the memo's reasoning is flawed until proven otherwise." 4. Collect three independent reviews 5. Reconcile: where do they agree? Where do they diverge? 6. Surface the divergences as questions for the founder
Saved to `~/.claude/cross-eval/YYYY-MM-DD-<slug>.md`:
# Cross-Eval: <memo title> **Date:** YYYY-MM-DD **Memo reviewed:** <link> **Models invoked:** Claude / Codex / Gemini (or noted fallbacks) ## Vote Tally | Model | Vote | Confidence | |---|---|---| | Claude | APPROVE | High | | Codex | DEFER | Med | | Gemini | APPROVE | Low | ## Consensus Concerns (≥2 models flagged) 1. <concern> — flagged by Claude + Codex 2. <concern> — flagged by all 3 ## Divergent Concerns (1 model flagged) - <Codex only:> <concern> — worth a second look - <Gemini only:> <concern> — likely noise, but check ## Consensus Supports (≥2 models endorsed) 1. <support> 2. <support> ## Recommendation - 🟢 GO if 2+ models APPROVE and no CRITICAL concerns from any model - 🟡 PAUSE if any model is DEFER or any concern is CRITICAL - 🔴 STOP if 2+ models REJECT ## Open Questions for Founder 1. <question raised by divergence> 2. <question raised by divergence>
Single-model recommendations have systematic biases. Claude trends helpful and may under-weight risk. Codex (OpenAI) trends more cautious on emerging-market and regulatory topics. Gemini trends more cautious on technical scale claims. Disagreement is signal, not noise.
This is the **safety net before irreversibility** — not a replacement for outside counsel or a real board.
If only Claude is available:
**Models available:** Claude only **Mode:** ADVERSARIAL — running 3 independent Claude passes with different system prompts: 1. Standard reviewer 2. Devil's advocate (must find 3 critical concerns) 3. Steelman (must find 3 strongest reasons to approve) This is weaker than true multi-model. Treat the result as suggestive, not conclusive.
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**Version:** 1.0.0
388 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.
Repo: alirezarezvani/claude-skills
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