euaziel/wifi-csi-human-pose-detection/custom-workers

Name: custom-workers
Author: euaziel

Claude Code and agent skill by euaziel/wifi-csi-human-pose-detection

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By euaziel
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euaziel/wifi-csi-human-pose-detection
vendor/ruvector/.claude/skills/custom-workers/SKILL.md
Updated 26 Mar 2026
Version 1.0.0

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Checking that the SKILL.md file is still in the repository.

Create and run custom background analysis workers with composable phases. Use when you need automated code analysis, security scanning, pattern learning, or API documentation generation.

Install

npx vskill@latest install euaziel/wifi-csi-human-pose-detection/custom-workers

SKILL.md

Custom Workers

Build composable background analysis workers with 24 phase executors and 6 presets.

Quick Start

bash

# List available presets
npx ruvector workers presets
 
# List available phase executors
npx ruvector workers phases
 
# Create a custom worker from preset
npx ruvector workers create my-scanner --preset security-scan
 
# Run the worker
npx ruvector workers run my-scanner --path ./src

Available Presets

Preset	Description	Phases
`quick-scan`	Fast file discovery and stats	file-discovery → summarization
`deep-analysis`	Comprehensive code analysis	file-discovery → static-analysis → complexity-analysis → import-analysis → pattern-extraction → graph-build → vectorization → summarization
`security-scan`	Security-focused analysis	file-discovery → security-analysis → secret-detection → dependency-discovery → report-generation
`learning`	Pattern learning and memory	file-discovery → pattern-extraction → embedding-generation → pattern-storage → sona-training
`api-docs`	API endpoint documentation	file-discovery → api-discovery → type-analysis → report-generation
`test-analysis`	Test coverage analysis	file-discovery → static-analysis → pattern-extraction → summarization

Phase Executors (24 total)

Discovery Phases

file-discovery - Find files matching patterns
pattern-discovery - Discover code patterns
dependency-discovery - Map dependencies
api-discovery - Find API endpoints

Analysis Phases

static-analysis - AST-based code analysis
complexity-analysis - Cyclomatic complexity
security-analysis - Security vulnerability scan
performance-analysis - Performance bottlenecks
import-analysis - Import/export mapping
type-analysis - TypeScript type extraction

Pattern Phases

pattern-extraction - Extract code patterns
todo-extraction - Find TODOs/FIXMEs
secret-detection - Detect hardcoded secrets
code-smell-detection - Identify code smells

Build Phases

graph-build - Build code graph
call-graph - Function call graph
dependency-graph - Dependency graph

Learning Phases

vectorization - Convert to vectors
embedding-generation - ONNX embeddings (384d)
pattern-storage - Store in VectorDB
sona-training - SONA reinforcement learning

Output Phases

summarization - Generate summary
report-generation - Create report
indexing - Index for search

YAML Configuration

Create workers.yaml in your project:

yaml

version: '1.0'
workers:
  - name: auth-scanner
    triggers: [auth-scan, scan-auth]
    phases:
      - type: file-discovery
        config:
          patterns: ["**/auth/**", "**/login/**"]
      - type: security-analysis
      - type: secret-detection
      - type: report-generation
    capabilities:
      onnxEmbeddings: true
      vectorDb: true
 
  - name: api-documenter
    triggers: [api-docs, document-api]
    phases:
      - type: file-discovery
        config:
          patterns: ["**/routes/**", "**/api/**"]
      - type: api-discovery
      - type: type-analysis
      - type: report-generation

Load configuration:

bash

npx ruvector workers load-config --file workers.yaml

CLI Commands

bash

# Core commands
npx ruvector workers presets       # List presets
npx ruvector workers phases        # List phases
npx ruvector workers create <name> --preset <preset>
npx ruvector workers run <name> --path <path>
 
# Configuration
npx ruvector workers init-config   # Generate workers.yaml
npx ruvector workers load-config   # Load from workers.yaml
npx ruvector workers custom        # List registered workers
 
# Monitoring
npx ruvector workers status        # Worker status
npx ruvector workers results       # Analysis results
npx ruvector workers stats         # Statistics

MCP Tools

Available via ruvector MCP server:

Tool	Description
`workers_presets`	List available presets
`workers_phases`	List phase executors
`workers_create`	Create custom worker
`workers_run`	Run worker on path
`workers_custom`	List custom workers
`workers_init_config`	Generate config
`workers_load_config`	Load config

Capabilities

Workers can use these capabilities:

ONNX Embeddings: Real transformer embeddings (all-MiniLM-L6-v2, 384d, SIMD)
VectorDB: Store and search embeddings with HNSW indexing
SONA Learning: Self-Organizing Neural Architecture for pattern learning
ReasoningBank: Trajectory tracking and meta-learning

Integration with Hooks

Workers auto-dispatch on UserPromptSubmit via trigger keywords:

Type "audit this code" → triggers audit worker
Type "security scan" → triggers security worker
Type "learn patterns" → triggers learning worker

Example: Security Scanner

bash

# Create from security-scan preset
npx ruvector workers create security-checker --preset security-scan --triggers "security,vuln,cve"
 
# Run on source
npx ruvector workers run security-checker --path ./src
 
# View results
npx ruvector workers results

Example: Custom Learning Worker

yaml

# workers.yaml
workers:
  - name: code-learner
    triggers: [learn, pattern-learn]
    phases:
      - type: file-discovery
        config:
          patterns: ["**/*.ts", "**/*.js"]
          exclude: ["node_modules/**"]
      - type: static-analysis
      - type: pattern-extraction
      - type: embedding-generation
      - type: pattern-storage
      - type: sona-training
    capabilities:
      onnxEmbeddings: true
      vectorDb: true
      sonaLearning: true

Security

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Model reviewPassed

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Source

SKILL.md in the repositoryCheckingvendor/ruvector/.claude/skills/custom-workers/SKILL.md

Popularity

Repository stars: 60
Repository forks: 23
7-day trend score: 21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 18 Mar 2026, 7 months ago.

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