agent-launcher-orchest…
Use when someone wants to build, launch, grade or schedule a Claude Managed Agent in their own Anthropic account ('build me an…
Use for /c-level-agents:cross-eval, or when a high-stakes memo needs independent review by several models before the boardroom.
Claude Code
$ npx -y skills add alirezarezvani/claude-skills --skill cross-eval --agent claude-code
Codex
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a codex -y
Cursor
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a cursor -y
Gemini CLI
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a gemini-cli -y
GitHub Copilot
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a github-copilot -y
OpenCode
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a opencode -y
Windsurf
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a windsurf -y
name: "cross-eval" description: "Use for /c-level-agents:cross-eval, or when a high-stakes memo needs independent review by several models before the boardroom."
**Command:** `/c-level-agents: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.
---
**Version:** 1.0.0
411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.
Use when someone wants to build, launch, grade or schedule a Claude Managed Agent in their own Anthropic account ('build me an…
Use when a launched managed agent needs grading against a rubric and improving ('grade my agent', 'is it good enough'). Builds…
Use when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and…
Use when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates…
Use when a managed-agent build sheet is ready to launch ('launch it', 'deploy the agent'). Generates and validates API payloads…
Use when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with…
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid…
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI…