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Call agent

Skill cskwork/call-agent/skills/call-agent

One skill that routes a task to the peer AI CLI best suited for it: Codex, Antigravity (agy), Kiro, Claude Code, or NotebookLM.

Install
npx -y skills add cskwork/call-agent --skill call-agent

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What its author says it does

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Delegate one task to a named peer CLI, or when the host lacks the required capability.

SKILL.md

3.3 KB, 871 tokens by cl100k_base, as published. Nobody here has run it

call-agent - delegate to a peer AI CLI

Router. You (the host CLI) hand ONE task to a peer agentic CLI when the peer does it better, then report the result back. Load only the one reference/<target>/call.md you route to - never all of them.

Rule zero - never call yourself

Whichever CLI is reading this is the host. Routing a task to the host is a no-op (you would just do it yourself). Delegate only to a DIFFERENT CLI whose capability the host lacks. Inside Claude Code, never route to claude; inside Codex, never route to codex.

Trigger policy (conservative - external CLIs spend separate credits)

Fire on TWO conditions only:

  1. Explicit name - the user names a target tool.
  2. Capability gap - the user asks for something the host cannot do natively.

Never auto-fire on generic "review / plan / refactor / debug" - the host is presumed capable. When the win is unclear, ask before spending a peer's credits.

Route (match the request to ONE target, then load its call.md)

Signal in the requestTargetNeeds binaryLoad
"codex"; image generation; one-shot codex reviewcodexcodexreference/codex/call.md
"agy" / "antigravity" / "gemini cli"; Google-grounded web search; image gen; science DB (gnomAD/UniProt/PubMed/ChEMBL)agyagyreference/agy/call.md
"kiro" / "kiro-cli"; natural-language -> shell translate; MCP cross-register; AWS Bedrock peer opinionkirokiro-clireference/kiro/call.md
"claude" / "claude code"; implementation; 1M-context planning; deep reviewclaudeclaudereference/claude/call.md
"notebooklm" / "nblm"; RAG / audio / mind-map over a PDF/URL/YouTube corpusnotebooklmnotebooklmreference/notebooklm/call.md
"gpt-pro" / "chatgpt pro" / "gpt5 pro"; deep-reasoning second opinion packaged for ChatGPT Pro (web, flat-fee subscription)gpt-pronone (tar/pbcopy)reference/gpt-pro/call.md

Tie-breakers: an explicit tool name always wins over a capability guess. Image generation is offered by both codex (gpt-image-2, ChatGPT-auth, highest quality) and agy - prefer codex when installed, fall back to agy.

Preflight (every route)

Each call.md defines its preflight. Run it before sending the task. Claude implementation requires both auth and shell-capability preflights. If the host blocks the target, report the normal-terminal fallback instead of retrying with weaker safety.

Reference map (load only what the routed target needs)

LoadWhen
reference/<target>/call.mdyou routed to <target> (always)
reference/agy/patterns.md, reference/codex/patterns.mdneed orchestration recipes (parallel fan-out, async jobs)
reference/<target>/reference.mdneed the full flag table / gotchas (agy, codex, kiro, notebooklm)
reference/agy/templates.mdneed copy-paste agy prompt scaffolds
reference/<target>/scripts/*.shthe routed call.md tells you to run a wrapper script

Done = target named; route-specific preflight passed; output and cost/session id reported; generated files verified. A blocked target ends with an actionable fallback, never a success claim.

What ships with it: 40 files

119.7 KB alongside SKILL.md, 27 of them executable

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