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Skills asf-v4

ANFSF V1.5.6 Skill - Enhanced Hybrid Adaptive Parser

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/alshowse-tech/asf-v4" ~/.claude/skills/clawdbot-skills-asf-v4-0c5ee4 && rm -rf "$T"
manifest: skills/alshowse-tech/asf-v4/SKILL.md
source content

ANFSF V1.5.6 Skill - Enhanced Hybrid Adaptive Parser

AI Native Full-Stack Software Factory V1.5.6 - Enhanced Hybrid Adaptive Parser with 100% health status (187/187 tests)

Overview

This skill provides enhanced requirement refinement capabilities for ANFSF (AI Native Full-Stack Software Factory) architecture, featuring:

  • Hybrid Adaptive Parser: Smart detection of complex requirements with weighted scoring system
  • Negation Handling: Avoids false positives (e.g., "不需要多级审批" is not detected as complex)
  • Multi-format Support: Supports Mermaid, PlantUML, and image references
  • Template Matching: Automatically matches historical templates
  • Complete Rollback: Automatic rollback mechanism with monitoring

Key Features

1. Hybrid Adaptive Parser

Intelligently detects complex requirements using weighted scoring system:

  • Multi-level审批 workflow: +3 points
  • Cross-department collaboration: +1 point per department
  • Complex data visualization: +2 points
  • External system integration: +2 points
  • Complex permission system: +2 points

2. Negation Processing

Detects negative keywords to reduce false positives:

  • "不需要" (not required)
  • "无需" (no need)
  • "不要" (don't want)
  • "no", "without", "not required"

3. Multi-format Content Support

  • Mermaid flowcharts
  • PlantUML diagrams
  • Image references (OCR preparation)
  • Markdown tables and lists

4. Template Matching

Automatically matches historical templates:

  • fixed-asset-investment
    (固定资产投资)
  • project-management
    (项目管理)
  • hr-system
    (人力资源系统)

Usage

The skill automatically selects the appropriate parsing strategy based on requirement complexity:

const skill = new RequirementRefinerSkill(context);
const result = await skill.refine(rawRequirement);

Architecture

  • Layer 8.5 Governance: Full governance control plane
  • MemPalace Memory: Enhanced memory architecture with isolated wings
  • Evolution Harness: Supported for self-calibration

Installation

clawhub install @anfsf-v1/openclaw-skill@1.5.6

Requirements

  • Node.js >= 20.0.0
  • OpenClaw >= 2026.3.24

License

MIT