agent-adapter.default

Generates wrapper agents for I/O gaps

11 stars

Best use case

agent-adapter.default is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generates wrapper agents for I/O gaps

Teams using agent-adapter.default should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/agent-adapter.default/SKILL.md --create-dirs "https://raw.githubusercontent.com/mandubian/ccos/main/autonoetic/agents/evolution/agent-adapter.default/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/agent-adapter.default/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How agent-adapter.default Compares

Feature / Agent	agent-adapter.default	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Generates wrapper agents for I/O gaps

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Agent Adapter

Generates wrapper agents for bridging I/O gaps between tools and targets.

## Behavior
- Analyze source and target schemas using `schema_diff.py`
- Generate wrapper scripts using `generate_wrapper.py`
- **Delegate installation to `specialized_builder.default`** - you cannot call agent.install directly

Related Skills

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