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plan

Decomposes specs into ordered, verifiable implementation tasks with acceptance criteria.

Updated Aug 10, 2026
Search Tags:#planning#code reuse#task breakdown#acceptance criteria#implementation plan#agile#dependency mapping
One-click install
npx skills add https://github.com/ledtorch/coding-agent-workflow --skill plan-ledtorch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan
Source: https://github.com/ledtorch/coding-agent-workflow/tree/main/skills/plan
Command: npx skills add https://github.com/ledtorch/coding-agent-workflow --skill plan-ledtorch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Large or vague development requests lead agents to make hundreds of invisible decisions that surface as bugs later. This Skill turns a spec or feature request into a structured plan document of small, independently verifiable tasks before any code is written. ## Core Features & Use Cases - Vertical task slicing: Breaks work into complete, testable slices (schema + API + UI) rather than horizontal layers, each passing a six-point "small enough" definition. - Dependency and conflict mapping: Builds a logic map of task dependencies and shared surfaces (files, stores, API contracts) to justify sequential vs. parallel scheduling. - Reuse review: Searches the codebase for existing components, stores, and endpoints so the plan extends what exists instead of duplicating it. - Use Case: Given a request like "add user registration", produce a references/build-registration.md plan with phased tasks, acceptance criteria, review checks, checkpoints, and risk mitigations ready for a builder agent to execute. ## Quick Start Ask the agent to plan the work: "Break the user registration feature into an implementation plan with ordered tasks and acceptance criteria."

Frequently Asked Questions about plan

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

FAQPage Schema
How do I break a large feature request into implementable tasks?▼

Slice the request vertically so each task delivers one complete, testable path rather than one layer. Each task must touch at most 5 files, stay within one subsystem, have at most 3 acceptance criteria, and fit in a single focused session.

How to decide if coding tasks can run in parallel?▼

Build a logic map of dependencies and shared surfaces first. Tasks may run in parallel only when they share no files, stores, API contracts, or database tables; tasks sharing a contract can parallelize only after a task pins that contract down.

When should I not use a task breakdown planning workflow?▼

Skip full planning for single-file changes with obvious scope, or when a spec already contains well-defined tasks. The planning overhead only pays off when work is large, vague, or spans multiple subsystems.

Does the planning skill write or modify any code?▼

No, planning is strictly read-only. The only output is a plan document saved under references/ containing the task list, logic map, schedule, and risks; implementation is handled separately by a build step.

What makes a task small enough to implement in one session?▼

A task passes when it touches at most 5 files, stays in one subsystem, has at most 3 acceptance criteria, fits in roughly 2 hours of agent work, ends in a working system state, and has no "and" in its title.

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