ai_member_only/ai_member_xiaoyan
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
74bdc5fd55
ai_member_xiaoyan/skills/task-router/SKILL.md

2.2 KiB
Raw Blame History

name description
dialogue-components-standardizer A unified skill for standardizing the production and review of 6 dialogue interaction components. Core logic is fixed; optimizations are handled via branch files and scripts for repeatability. Enter skill only when components change dynamically.

Dialogue Components Standardizer

Overview

This skill provides a modular structure for standardizing dialogue components:

  • Core (Fixed): Component types, workflows, and policies (defined here).
  • Branch Files: component_configs.yaml for component-specific details (modify for optimizations).
  • Scripts: Automated execution for repeatable tasks (e.g., generation, review).
  • Dynamic Entry: Use skill for component changes; otherwise, rely on scripts.

Core Structure

Component Types (Fixed)

The 6 components are predefined:

  1. dialogue_reading
  2. dialogue_expression
  3. dialogue_selective_reading
  4. dialogue_selection
  5. dialogue_sentence_building
  6. dialogue_fill_in_the_blanks

Workflows (Fixed)

  • Production: Generate configs via script.
  • Review: Validate via script.
  • Optimization: Update component_configs.yaml for details.

Branch Files

  • component_configs.yaml: Contains format, config, and validation rules per component. Modify this for optimizations without altering core.

Scripts

  • scripts/generate_component.py: Generates component configs (repeatable).
  • scripts/review_component.py: Reviews and validates configs (repeatable).

Usage

  1. For standard production: Run scripts directly.
  2. For component changes: Enter skill to update core or branch files.
  3. Optimize details: Edit component_configs.yaml.

Examples

  • Generate: python3 scripts/generate_component.py --type dialogue_reading --output config.json
  • Review: python3 scripts/review_component.py --file config.json
  • "Rewrite this paragraph to sound more professional." Route: low_compute_model
  • "Design the data-cleaning approach, then process the CSV." Route: high_compute_model, then python_script

Resources