Interstellar-code avatar

cli-modern-tools

Auto-suggest modern CLI tool alternatives (bat, eza, fd, ripgrep) for faster, more efficient command

作者 Interstellar-code|オープンソース

cli-modern-tools

Auto-suggest modern CLI tool alternatives (bat, eza, fd, ripgrep) for faster, more efficient command-line operations with 50%+ speed improvements

Category: Utilities | Language: Unknown | Version: 1.0.0

Quick Info

PropertyValue
LanguageUnknown
Token SavingsNone%
CategoryUtilities
Tagscli, productivity, performance, tools, bat, eza, fd, ripgrep, watchexec

Overview

Auto-suggest modern CLI tool alternatives (bat, eza, fd, ripgrep) for faster, more efficient command-line operations with 50%+ speed improvements

Use Cases

  • Utility operations

Benchmarks

No benchmarks available yet. Contributions welcome!

Example Benchmark Template

OperationNative ToolTimeThis SkillTimeImprovement
Example opnative command1000msskill command200ms80% faster

Installation

Step 1: Ensure Skill is Present

# Skill is included in the framework at:
# generic-claude-framework\skills\cli-modern-tools

# If not present, copy from framework:
cp -r .claude/skills/cli-modern-tools /your-project/.claude/skills/

Step 2: Install Dependencies

Step 3: Configure

  1. Review skill documentation in the source directory
  2. Set up any required environment variables
  3. Test the skill with a simple operation

Step 4: Verify Installation

# Test skill functionality (see skill-specific docs for commands)
# Example for Python skills:
python .claude/skills/{skill.name}/run.py --help

# Example for Bash skills:
bash .claude/skills/{skill.name}/skill.sh --help

Usage

See the skill documentation for detailed usage instructions.

Documentation

  • Source: {skill.file_path}
  • Full Documentation: See skill source directory for complete details

Related

  • changelog-manager - Update project changelog with uncommitted changes, synchronize package versions, and create version releases with automatic commit, conditional git tags, and push
  • lark-agent - Create hierarchical Lark tasks from markdown test plans.

ACTIVATE THIS SKILL when user:

  • Says "create lark tasks" or "process test file" or "convert test plan"
  • Mentions "lark" + "test" or "test scenarios" or "test cases"
  • Wants to convert markdown test documentation into Lark tasks
  • Has a test file and wants it in Lark

WORKFLOW:

  1. Ask user for test file path (required)
  2. Ask for owner, priority, target date (optional)
  3. Execute: python .claude/skills/lark-agent/run.py [file] --owner="[name]" --priority=[1-3] --target-date="YYYY-MM-DD"
  4. Parse JSON output
  5. Execute Lark MCP workflow to create tasks
  6. Report results

DO NOT create test plans yourself - only process existing markdown files unless explicitly asked.

  • lark-agent-simple - Token-efficient Lark task creation from markdown test files. Uses 60-70% fewer tokens than lark-agent by executing MCP calls directly.

ACTIVATE THIS SKILL when user:

  • Says "create lark tasks" or "lark agent simple" or "efficient lark"
  • Wants token-efficient Lark task creation
  • Has a test file and wants it in Lark with minimal overhead

WORKFLOW:

  1. Parse markdown file to compact JSON (data only, no workflow)
  2. Execute Lark MCP calls directly from slash command
  3. Report results

DO NOT create test plans yourself - only process existing markdown files.


Last Updated: 2025-10-21 Maintainer: Community Status: Unknown Ready