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Killer-Skills

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v1.0.0
GitHub

About this Skill

Perfect for AI Developer Agents needing streamlined LLM token tracking and cost monitoring, particularly those working with Claude Code. next is an ultra-fast token and cost tracking tool for LLM token usage, designed to simplify AI billing and cost monitoring.

Features

Reads planning files with date prefix (YYYYMMDD-) for efficient tracking
Analyzes Git log using commands like 'git log --oneline -5' for version control
Identifies current phase and counts completed/total tasks for project management
Presents token usage and cost data in a terminal-based user interface (TUI)
Supports multiple CLI tools, including Codex-CLI and Gemini-CLI, for flexible integration

# Core Topics

mag123c mag123c
[52]
[2]
Updated: 2/27/2026

Quality Score

Top 5%
56
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add mag123c/toktrack/next

Agent Capability Analysis

The next MCP Server by mag123c is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use next for AI token tracking, next alternative for LLM cost monitoring, next vs OpenAI for token usage.

Ideal Agent Persona

Perfect for AI Developer Agents needing streamlined LLM token tracking and cost monitoring, particularly those working with Claude Code.

Core Value

Empowers agents to efficiently track token usage and monitor costs, utilizing ultra-fast token tracking and Git log analysis, and presenting findings in a clear and actionable manner, leveraging markdown files like improvements.md and cli-parsers.md.

Capabilities Granted for next MCP Server

Automating token usage tracking for LLM-based projects
Analyzing Git logs to identify project progress and completion rates
Streamlining cost monitoring for AI tool deployments like Claude Code

! Prerequisites & Limits

  • Requires access to Git repository logs
  • Limited to markdown files with specific date prefix format (YYYYMMDD-)
  • Dependent on checkbox status for task completion tracking
SKILL.md
Readonly

Next

Flow

Read Planning → Git Log → Analyze → Present → Suggest /clarify

Execution

  1. Read Planning

    bash
    1# Read ONLY the latest planning file (by date prefix YYYYMMDD-) 2# e.g., 20260205-improvements.md > 20260128-cli-parsers.md 3# Check checkbox status: [ ] incomplete, [x] complete
  2. Git Log

    bash
    1git log --oneline -5 2git status --short
  3. Analyze

    • Identify current phase
    • Count completed/total tasks
    • Identify next priority task
  4. Present (table format)

    PhaseStatusProgress
    Phase 05/5
    Phase 1🔄3/4
  5. Suggest

    • Summarize next task
    • Suggest running /clarify

Output Format

markdown
1## Current Status 2- Phase: {current_phase} 3- Progress: {completed}/{total} tasks 4 5## Next Task 6**{task_id}: {task_name}** 7{brief_description} 8 9## Action 10Run `/clarify` to start: {task_summary}

Rules

  • Read only the latest dated planning file (highest YYYYMMDD- prefix)
  • If no planning files → infer from git log + code state
  • Keep output concise (5-10 lines)
  • Always suggest /clarify connection

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