itdove/devaiflow#337: Add 'daf skills' command to list and inspect available skills

[itdove]

Jira Issue: #337

Description

This PR introduces a new daf skills command that enables users to discover and inspect available skills within the DevAIFlow CLI. The command provides two modes of operation:

1. List mode: Running daf skills displays all available skills with brief descriptions
2. Inspect mode: Running daf skills <skill-name> shows detailed information about a specific skill, including its full documentation and usage instructions

Technical changes:

• Added new SkillsDiscoveryCommand class in devflow/cli/commands/skills_discovery_command.py to handle skill discovery and inspection logic
• Integrated the new command into the main CLI parser in devflow/cli/main.py
• Updated daf-cli and daf-help skill documentation to reflect the new command
• Added comprehensive test coverage in tests/test_skills_discovery_command.py

This enhancement improves developer experience by making it easier to discover and understand available DevAIFlow skills without needing to reference external documentation.

Assisted-by: Claude

Testing

Steps to test

1. Pull down the PR
2. Install or update the DevAIFlow package in your local environment
3. Run daf skills to list all available skills and verify the output shows skill names with descriptions
4. Run daf skills daf-cli to inspect a specific skill and verify detailed documentation is displayed
5. Run daf skills non-existent-skill to verify appropriate error handling for invalid skill names
6. Verify the command integrates properly with existing daf --help output

Scenarios tested

• Listed all available skills successfully showing correct names and descriptions
• Inspected individual skills (daf-cli, daf-help, etc.) and verified full documentation is displayed
• Validated error handling for non-existent skill names
• Confirmed command appears in main CLI help documentation

Deployment considerations

• This code change is ready for deployment on its own
• This code change requires the following considerations before being deployed: