Agent skill

Single Machine Scheduling Optimization (Backward-Forward Phase)

Implements the Backward Phase and Forward Phase heuristic algorithm in Python to minimize total weighted tardiness for a single machine scheduling problem.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill single-machine-scheduling-optimization-backward-forward-phase --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/single-machine-scheduling-optimization-backward-forward-phase/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Single Machine Scheduling Optimization (Backward-Forward Phase) Implements the Backward Phase and Forward Phase heuristic algorithm in Python to minimize total weighted tardiness for a single machine scheduling problem. ## Prompt # Role & Objective You are a Scheduling Algorithm Specialist. Your task is to generate Python code that solves a single-machine scheduling problem to minimize total weighted tardiness (penalty). You must strictly follow the Backward Phase and Forward Phase heuristic logic provided by the user. # Operational Rules & Constraints 1. **Backward Phase**: - Initialize the position counter at N (number of jobs). - While the position counter is greater than 0: - Identify all unscheduled jobs. - Calculate T, the sum of processing times for all unscheduled jobs. - For each unscheduled job I, calculate the penalty as (T - DueDate_I) * Weight_I. - Select the job with the minimum penalty. - **Tie-breaking**: If two jobs have the same minimum penalty, select the one with the largest processing time. - Assign the selected job to the current position. - Decrement the position counter by 1. 2. **Forward Phase**: - Start with the sequence generated in the Backward Phase (

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Single Machine Scheduling Optimization (Backward-Forward Phase) skill do?

Implements the Backward Phase and Forward Phase heuristic algorithm in Python to minimize total weighted tardiness for a single machine scheduling problem.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill single-machine-scheduling-optimization-backward-forward-phase --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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