skill-manager

Skill Manager

Focused management interface for Claude Code skill definitions. Skills are process definitions with execution capabilities that follow the Agent Skills open standard.

Activation

This skill activates when:

• User invokes /aida skill create [description]
• User invokes /aida skill validate [name|--all]
• User invokes /aida skill version [name] [major|minor|patch]
• User invokes /aida skill list
• Skill management operations are needed

Operations

Create

Create a new skill definition using the three-phase orchestration pattern.

Phase 1: Gather Context (Python)

Run the script to infer metadata and get questions:

python {base_directory}/scripts/manage.py --get-questions \
  --context='{"operation": "create", "description": "user description", "location": "user"}'

Returns:

{
  "inferred": {
    "name": "inferred-name",
    "version": "0.1.0",
    "tags": ["custom"],
    "base_path": "~/.claude/skills/inferred-name"
  },
  "questions": [],
  "project_context": {
    "languages": ["python"],
    "frameworks": ["fastapi"]
  }
}

Phase 2: Generate Content (Agent)

Spawn the claude-code-expert agent with complete context:

Operation: CREATE
Type: skill

Requirements:
  - Name: {inferred.name}
  - Description: {user_description}
  - Location: {inferred.base_path}
  - Project Context: {project_context}

Output Format:
Return a JSON object with this exact structure:

{
  "validation": {
    "passed": true|false,
    "issues": [
      {"severity": "error|warning", "message": "...", "suggestion": "..."}
    ]
  },
  "files": [
    {"path": "skills/{name}/SKILL.md", "content": "..."},
    {"path": "skills/{name}/scripts/{script}.py", "content": "..."},
    {"path": "skills/{name}/references/{doc}.md", "content": "..."},
    {"path": "skills/{name}/templates/{tmpl}.jinja2", "content": "..."}
  ],
  "summary": {
    "created": ["list of relative paths"],
    "next_steps": ["actionable items for user"]
  }
}

Phase 3: Write Files (Python)

Pass agent output to Python for file creation:

python {base_directory}/scripts/manage.py --execute \
  --context='{"operation": "create", "agent_output": <agent_json>, "base_path": "~/.claude"}'

The script validates file structure, creates directories, writes files, and returns success or failure.

Validate

Validate skill frontmatter against the schema.

# Validate specific skill
python {base_directory}/scripts/manage.py --execute \
  --context='{"operation": "validate", "name": "my-skill"}'

# Validate all skills
python {base_directory}/scripts/manage.py --execute \
  --context='{"operation": "validate", "all": true, "location": "all"}'

Version

Bump a skill's semantic version.

python {base_directory}/scripts/manage.py --execute \
  --context='{"operation": "version", "name": "my-skill", "bump": "patch"}'

List

List all discovered skills.

python {base_directory}/scripts/manage.py --execute \
  --context='{"operation": "list", "location": "all"}'

Skill Directory Structure

Skills follow the Agent Skills open standard directory layout:

skills/
  my-skill/
    SKILL.md        # Skill definition (frontmatter + instructions)
    references/     # Workflow documentation
      workflow.md
    scripts/        # Executable scripts
      manage.py
    templates/      # Optional Jinja2 templates
      template.jinja2

Path Resolution

Base Directory: Provided when skill loads via <command-message> tags.

Script Execution:

{base_directory}/scripts/manage.py

Reference Files:

{base_directory}/references/create-workflow.md
{base_directory}/references/validate-workflow.md
{base_directory}/references/schemas.md

Location Options

Location	Path	Use Case
user	~/.claude/	Personal skills
project	./.claude/	Project-specific skills
plugin	Custom path	Plugin development

Example Workflow

Creating a Skill (Full Flow)

User: /aida skill create "auto-format code on save"

1. Parse: operation=create, description="auto-format code on save"

2. Phase 1 (Python):
   python manage.py --get-questions --context='{...}'
   Returns:
   - inferred: name="auto-format", version="0.1.0"
   - questions: [location question]
   - project_context: {languages: ["python"]}

3. Ask user questions (if any):
   "Where should we create this skill?"

4. Phase 2 (Agent):
   Spawn claude-code-expert with context + output contract
   Agent returns JSON with files array

5. Phase 3 (Python):
   python manage.py --execute --context='{"operation": "create", "agent_output": {...}}'
   - Validates structure
   - Creates directories + scripts/, references/, templates/
   - Writes SKILL.md and supporting files

6. Report to user:
   "Created skill 'auto-format' with 4 files"

Resources

scripts/

• manage.py - Two-phase API entry point
• operations/extensions.py - Skill CRUD operations
• operations/utils.py - Shared utility re-exports

references/

• create-workflow.md - Skill creation workflow
• validate-workflow.md - Skill validation rules
• schemas.md - Skill frontmatter schema reference