Advanced Skill Creator

Advanced Skill Creator

Generate domain-specific skills and workflows using advanced reasoning techniques.

Purpose

This meta-skill orchestrates skill generation by:

1. Analyzing task requirements
2. Selecting appropriate patterns from the library
3. Instantiating templates with domain parameters
4. Generating executable SKILL.md files or portable prompts

Core Libraries

This skill has access to (load on demand):

• @core/​technique-taxonomy.yaml — 200+ techniques across 6 cognitive categories
• @core/​artifact-contracts.yaml — Standardized I/​O schemas
• @core/​scoring-rubrics.yaml — Pluggable evaluation algorithms
• @core/​skill-patterns.yaml — Parameterized workflow patterns
• @core/​checkpoint-patterns.yaml — AskUserQuestion checkpoint patterns

Checkpoints

This skill uses interactive checkpoints (see references/​checkpoints.yaml) to resolve ambiguity:

• task_type_classification — When request matches multiple patterns
• domain_selection — When domain not specified
• stakeholder_selection — When multiple stakeholder types could apply
• preset_conflict — When user params conflict with presets
• anti_pattern_composition — When composition matches known anti-pattern
• output_mode — When output format not specified
• plugin_routing — When skill could belong to multiple plugins

Available Templates

Workflow

Phase 1: Requirements Analysis

When asked to create a skill or workflow:

1. Identify the core task type:

   • Evaluation/​Comparison → Use MOE-EVALUATE or TOURNAMENT patterns
   • Generation/​Ideation → Use MOE-GENERATE pattern
   • Validation/​Testing → Use ADVERSARIAL-VALIDATE pattern
   • Research/​Discovery → Use RESEARCH-SYNTHESIZE pattern
   • Documentation → Use DIATAXIS pattern
   • Extraction → Use ELICIT-EXTRACT pattern

2. CHECKPOINT: task_type_classification

   • If request matches multiple patterns (confidence < 0.7): AskUserQuestion
   • Present top 2-3 matching patterns with descriptions
   • Example: "Should this skill evaluate existing options or generate new ones?"

3. Determine parameters needed:

   • Domain/​context
   • Stakeholders
   • Quality dimensions
   • Output format

4. CHECKPOINT: domain_selection

   • If domain not specified and not inferable: AskUserQuestion
   • Options: Architecture, Product, Strategy, Research, Custom
   • Example: "What domain is this skill for?"

5. Check for existing skills that might compose:

   • Can we chain existing skills?
   • What's missing that requires new skill?

Phase 2: Pattern Selection

Load @core/​skill-patterns.yaml and select pattern based on:

Phase 3: Template Instantiation

Based on selected pattern, configure template:

skill_instantiation:
  pattern: "[selected pattern]"
  domain: "[user's domain]"
  parameters:
    # Pattern-specific parameters
  techniques:
    # Selected from technique-taxonomy
  output_contract:
    # From artifact-contracts

1. CHECKPOINT: preset_conflict

   • If user params conflict with domain preset: AskUserQuestion
   • Example: "You specified 6 experts, but 'product' preset uses 4. Which should we use?"

2. CHECKPOINT: anti_pattern_composition

   • If composition matches anti-pattern: AskUserQuestion
   • Warn about the issue and offer alternatives
   • Example: "Chaining ADVERSARIAL-VALIDATE → ADVERSARIAL-VALIDATE creates infinite loops"

Phase 4: Output Generation

1. CHECKPOINT: output_mode
   • If output format not specified: AskUserQuestion
   • Options: Executable SKILL.md, Portable prompt, Both
   • Example: "Should this be an executable skill or a portable prompt?"

Generate one of:

A. Executable Skill (SKILL.md)

• Complete frontmatter with triggers
• Full workflow instructions
• Quality gates
• Output templates

B. Portable Prompt

• Standalone prompt for other contexts
• Self-contained instructions
• No skill dependencies

→ Proceed to Phase 5 to save the skill in the correct location.

Phase 5: Skill Placement

Generated skills MUST be placed in the correct plugin directory for marketplace visibility:

1. Determine target plugin based on skill type:

   Skill Type	Target Plugin
   Evaluation/​Comparison	evaluation-tools
   Research/​Discovery	research-tools
   Documentation	documentation-tools
   Prompt optimization	prompt-tools
   Skill generation/​Meta	meta-tools

2. CHECKPOINT: plugin_routing

   • If skill matches criteria for 2+ plugins: AskUserQuestion
   • Example: "This skill audits documentation. Should it go in evaluation-tools or documentation-tools?"

3. Create the skill directory structure:

   plugins/<target-plugin>/​skills/<skill-name>/
   ├── SKILL.md              ← Main skill definition (required)
   ├── references/           ← Supporting reference docs (optional)
   └── templates/            ← Output templates (optional)
   

4. File naming conventions:

   • Skill directory: kebab-case (e.g., architecture-evaluator)
   • SKILL.md: Required, exact filename
   • References: descriptive kebab-case (e.g., scoring-criteria.md)

Important: Skills saved outside plugins/<plugin>/​skills/ will NOT appear in the marketplace.

Output Templates

Skill Output Template

---
name: [skill-name]
description: >
  [Description with PROACTIVELY activate for: (1)..., (2)..., (3)...]
  Triggers: "[trigger phrases]"
---

# [Skill Name]

[One-line purpose]

## When to Use

[Ideal use cases and anti-patterns]

## Workflow

### Step 1: [First Step]
[Instructions]

### Step 2: [Second Step]
[Instructions]

## Parameters

| Parameter | Default | Options | Description |
|-----------|---------|---------|-------------|

## Output Format

[Expected output structure]

## Quality Gates

- [ ] [Gate 1]
- [ ] [Gate 2]

## Examples

[Example invocations and outputs]

Quality Gates

Before completing skill generation:

• Pattern selection rationale documented
• All required parameters configured
• Technique provenance traced (which techniques from taxonomy)
• Output contract specified (from artifact-contracts)
• Triggers are specific and actionable
• Description includes numbered use cases
• Target plugin identified and skill saved to plugins/<plugin>/​skills/<skill-name>/
• All applicable checkpoints evaluated (ambiguity resolved via AskUserQuestion)

Examples

Example 1: Create evaluation skill User: Create a skill for evaluating architecture proposals Advanced Skill Creator: → Task type: Evaluation/​Comparison → Pattern: MOE-EVALUATE → Domain: Architecture → Generate: architecture-evaluator skill with:

Technical Authority, Quality Guardian, Risk Specialist experts Criteria: scalability, maintainability, cost, security Output: RANKED-SOLUTION-LIST contract

Example 2: Create research workflow User: Build a workflow for competitive analysis Advanced Skill Creator: → Task type: Research/​Discovery → Pattern: RESEARCH-SYNTHESIZE → Domain: Competitive intelligence → Generate: competitive-analyzer skill with:

Research brief generation (Claude + Gemini) Consolidation workflow Gap identification