slice

Generate or validate a dependency-aware DAG of work slices in SLICES.md.

66|2|Updated Feb 18, 2015
One-click install
npx skills add https://github.com/tkersey/dotfiles --skill slice
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: slice
Source: https://github.com/tkersey/dotfiles/tree/main/codex/skills/slice
Command: npx skills add https://github.com/tkersey/dotfiles --skill slice

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Slice turns a markdown plan into a dependency-aware DAG of work slices in SLICES.md, enabling automated validation and orchestration of work items.

Core Features & Use Cases

  • Generate mode: build/repair SLICES.md from a plan and construct a meaningful DAG of slices with dependencies and subtasks.
  • Next mode: validate SLICES.md, pick the next ready slice, mark it in_progress, and return it to the user.
  • Ready-to-work and ready-to-execute workflows for parallelizable projects; contracts, implementation, and integration checkpoints.

Quick Start

Use this skill to convert a plan into a DAG and get the next actionable slice.

Frequently Asked Questions about slice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a markdown plan into a dependency-aware DAG?

You can convert a markdown plan into a dependency-aware DAG by using generate mode, which automatically organizes planned items into a structured SLICES.md file with mapped dependencies and subtasks.

What is the best way to track dependencies and select the next work slice for execution?

The best way to track dependencies and select the next work slice is using next mode, which validates the SLICES.md DAG, picks the next ready slice, marks it in_progress, and assigns it for execution.

How does workflow orchestration handle parallelizable tasks in feature delivery?

Workflow orchestration handles parallelizable tasks by building a meaningful DAG of work slices from a plan, enabling ready-to-execute workflows with implementation and integration checkpoints across software projects.

Can I validate an existing SLICES.md file before starting scheduled work?

Yes, you can validate an existing SLICES.md file. The system reads and validates the DAG structure to ensure dependency tracking is correct before selecting or updating any slices.

Does automated plan management support code maintenance and software project scheduling?

Automated plan management supports code maintenance and software project scheduling by applying dependency-aware DAG generation and validation across planning workflows for feature delivery.

When should I avoid using a DAG for work slice orchestration?

You should avoid using a DAG for work slice orchestration when your project lacks clear task dependencies or when your planning workflow does not require structured checkpoints for parallelizable feature delivery.