smithery/krzemienski

using-shannon-cli

Use when starting work with Shannon CLI or need to understand available commands - introduces shannon analyze, wave, do, exec commands, explains when to use each, guides installation and basic workflows

Installation

$ npx skills add smithery/krzemienski --skill using-shannon-cli

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Package contents

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  • skill md SKILL.md 1,846 B
  • docs SUMMARY.md 227 B

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SKILL.md

Using Shannon CLI

Overview

Shannon CLI provides programmatic access to Shannon Framework with added intelligence (caching, analytics, cost optimization, context awareness).

Core Commands

shannon analyze - Analyze specifications

  • When: Have a spec/requirements document
  • Output: 8D complexity, domains, phase plan
  • Example: shannon analyze project_spec.md

shannon wave - Multi-agent wave execution

  • When: Implementing from analyzed spec
  • Uses: Shannon Framework wave-orchestration
  • Example: shannon wave "implement auth system"

shannon do - Execute tasks (V5)

  • When: Create files, implement features, fix bugs
  • Uses: Shannon Framework exec skill
  • Example: shannon do "create REST API with users"

shannon exec - Autonomous execution (V3.5)

  • When: Need validation + git automation
  • Uses: CompleteExecutor with 3-tier validation
  • Example: shannon exec "add tests for API"

Quick Start

# Install
pip install shannon-cli

# Analyze a spec
shannon analyze spec.md

# Execute a task
shannon do "create hello.py"

# With real-time dashboard
shannon do "create app" --dashboard

Command Selection

Need Use
Analyze requirements shannon analyze
Implement from spec shannon wave
Create files/features shannon do
With validation/git shannon exec

Features

  • Caching: Automatic (7-30 day TTL)
  • Cost Optimization: Auto model selection
  • Analytics: Session tracking in SQLite
  • Context: Project-aware analysis (after onboarding)
  • Dashboard: Real-time execution monitoring