### Summary

I'm trying to optimise my builds by avoiding unnecessary downloads.
ansible-galaxy install always downloads the latest version even if the existing collection already meets the requirements. This behaviour appears to be consistent with the documentation (https://docs.ansible.com/ansible/latest/galaxy/user_guide.html#installing-an-older-version-of-a-collection), but why has it been implemented to always download ?


e.g. I have
```
# /usr/local/lib/python3.8/site-packages/ansible_collections
Collection                    Version
----------------------------- -------
amazon.aws                    3.5.0  
...
```
and requirements.yml
```
---
collections:
  - name: amazon.aws
    version: '>=1.5.0'
```
if I run ansible-galaxy install -r requirements.yml I get amazon.aws 6.1.0 installed, even though 3.5.0 already meets my 1.5.0 requirement. I would expect nothing to happen because my requirements were already met.

### Issue Type

Feature Idea

### Component Name

ansible galaxy

### Additional Information

People who like the existing behaviour could perhaps use the recently added --upgrade switch to continue to get the upgrade to the lastest version.

### Code of Conduct

- [X] I agree to follow the Ansible Code of Conduct
_api: t.Union[GalaxyAPI, None]
    api_servers: list[GalaxyAPI]
    @property
    def api(self):
        if self._api:
            return self._api
        for server in self.api_servers:
            try:
                if u'v1' in server.available_api_versions:
                    self._api = server
                    break
            except Exception:
                continue
        if not self._api:
            self._api = self.api_servers[0]
        return self._api
class GalaxyCLI(CLI):
    '''Command to manage Ansible roles and collections.
       None of the CLI tools are designed to run concurrently with themselves.
       Use an external scheduler and/or locking to ensure there are no clashing operations.
    '''
    name = 'ansible-galaxy'
    SKIP_INFO_KEYS = ("name", "description", "readme_html", "related", "summary_fields", "average_aw_composite", "average_aw_score", "url")
    def __init__(self, args):