next — ai-billing toktrack, community, ai-billing, ide skills, ai-coding, ai-cost, ai-tools, anthropic, claude-code, codex-cli, Claude Code

v1.0.0

About this Skill

Perfect for AI Agents needing real-time LLM token usage insights and ultra-fast cost tracking, particularly those working with Claude Code. Session start - check progress, suggest next task

# Core Topics

mag123c mag123c
[55]
[3]
Updated: 3/10/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
56
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing real-time LLM token usage insights and ultra-fast cost tracking, particularly those working with Claude Code. Session start - check progress, suggest next task

Core Value

Empowers agents to track LLM token usage in real-time, providing valuable insights into cost optimization and utilization, leveraging Git Log analysis and presenting data through a structured flow, utilizing protocols like Git and file formats such as Markdown.

Ideal Agent Persona

Perfect for AI Agents needing real-time LLM token usage insights and ultra-fast cost tracking, particularly those working with Claude Code.

Capabilities Granted for next

Analyzing LLM token usage for cost optimization
Tracking task completion rates through Git Log analysis
Presenting real-time insights into AI model performance

! Prerequisites & Limits

  • Requires access to Git repository
  • Designed specifically for LLM token usage analysis
  • Compatibility limited to AI tools like Claude Code

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is next?

Perfect for AI Agents needing real-time LLM token usage insights and ultra-fast cost tracking, particularly those working with Claude Code. Session start - check progress, suggest next task

How do I install next?

Run the command: npx killer-skills add mag123c/toktrack/next. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for next?

Key use cases include: Analyzing LLM token usage for cost optimization, Tracking task completion rates through Git Log analysis, Presenting real-time insights into AI model performance.

Which IDEs are compatible with next?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for next?

Requires access to Git repository. Designed specifically for LLM token usage analysis. Compatibility limited to AI tools like Claude Code.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add mag123c/toktrack/next. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use next immediately in the current project.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

next

Install next, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

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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