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agent-interchange-formats vs superreview

Two Engineering Claude Code skills, side by side. Pick the right skill for your workflow with a side-by-side look at metadata, sample code, and install commands.

Side-by-side

Nameagent-interchange-formatssuperreview
DescriptionData structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context…Deep allure-server code review the MODEL or the USER can invoke: routes changed files to domain-expert agents, runs the mechanical gates, checks correctness + architecture + reuse + version pins + scope discipline…
CategoryEngineeringEngineering
Sub-categoryworkflow-orchestrationarchitecture
Tagsai:agenttype:review
Authorcuriositechkochetkov-ma
License—Apache-2.0
Install/add-skill agent-interchange-formats/add-skill superreview

Tag overlap

Shared —

Only in agent-interchange-formats ai:agent

Only in superreview type:review

Sample code from each SKILL.md

agent-interchange-formats

Agent communication scenario?
├── Single agent calling tools?
│   ├── Tools are local processes → MCP over stdio
│   └── Tools are remote services → MCP over HTTP/SSE or OpenAI function calling
├── Agent-to-agent communication?
│   ├── Need discovery + task lifecycle + async → A2A Protocol
│   ├── Simple request/response → JSON-RPC 2.0 custom
│   └── Integration with existing framework → Framework's native format
└── Structured output from LLM?
    ├── Machine-readable payload (APIs, schemas) →…

superreview

PLAN — allure-server superreview
INPUT:  <arguments verbatim, or "(empty)">
MODE:   <resolved MODE> — <which rule>; Depth <resolved DEPTH> — <which signal>
SCOPE:  <branch, commit range/folder, focus, file count>
DO:     <gates, intent pass, and — EXTENDED only — expert fan-out, scope passes, validation>
RESULT: <the merged report + chat summary>

When to choose each

agent-interchange-formats — Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context…

superreview — Deep allure-server code review the MODEL or the USER can invoke: routes changed files to domain-expert agents, runs the mechanical gates, checks correctness + architecture + reuse + version pins + scope discipline…

Both are free to install. If you're unsure, install both — Claude Code skills are isolated by filename and only collide if their trigger phrases overlap (rare). The richest signal is the SKILL.md body itself — open both skill pages and read the first paragraph of each.

Open agent-interchange-formats → Open superreview →

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