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agent-interchange-formats vs skill-architect

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-formatsskill-architect
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…Design, create, audit, and improve Claude Agent Skills with expert-level progressive disclosure. Use when building new skills, reviewing existing skills, debugging activation failures, encoding domain expertise, or…
CategoryEngineeringEngineering
Sub-categoryworkflow-orchestrationengineering-misc
Tagsai:agenttype:audit type:review
Authorcuriositechcuriositech
License
Install/add-skill agent-interchange-formats/add-skill skill-architect-v0-snapshot

Tag overlap

Shared

Only in agent-interchange-formats ai:agent

Only in skill-architect type:audit, 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) →…

skill-architect

# ❌ These look like valid keys but aren't — use the correct alternatives
tools: Read,Write           # Use 'allowed-tools' instead
integrates_with: [...]      # Use SKILL.md body text instead
triggers: [...]             # Use 'description' keywords instead
outputs: [...]              # Use SKILL.md Output Format section instead
coordinates_with: [...]     # Use SKILL.md body text instead
python_dependencies: [...]  # Use SKILL.md body text instead

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…

skill-architect — Design, create, audit, and improve Claude Agent Skills with expert-level progressive disclosure. Use when building new skills, reviewing existing skills, debugging activation failures, encoding domain expertise, or…

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 skill-architect →

Other comparisons in this category

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