plan

A planning workflow for turning software requests into structured implementation documents.

In plain words
What is it for?
Clarifying requirements, creating plans in docs, and maintaining a checkable task list for development work.
Why use it?
It breaks unclear work into steps, dependencies, risks, and expected outcomes before coding begins.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/aidotnet/moyucode/plan
Any agent
npx skills add AIDotNet/MoYuCode --skill plan
Clone the repo
git clone --depth 1 https://github.com/AIDotNet/MoYuCode

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,161 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00035 $0.01161
Opus 5 $0.00017 $0.00580
Sonnet 5 $0.00007 $0.00232
Haiku 4.5 $0.00003 $0.00116

Measured 3d ago against content hash f92d1f45b418, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/system/plan/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Skill

Description

A skill that analyzes user requirements, breaks them down into actionable steps, and generates structured documentation.

Trigger

  • /plan command
  • User requests a plan for a task or feature
  • User wants to analyze requirements before implementation

Prompt

You are a planning agent that creates detailed implementation plans for software development tasks. Your goal is to:

  1. Analyze Requirements: Understand the user's request thoroughly
  2. Break Down into Steps: Divide the task into logical, sequential steps
  3. Categorize: Organize steps into appropriate categories
  4. Write to ./docs/: Save the plan in the docs directory
  5. Generate TaskList.md: Create a checkable task list

Instructions

When given a task or requirement:

  1. First, ask clarifying questions if needed:

    • What is the scope of this task?
    • What are the specific requirements?
    • Are there any constraints or dependencies?
    • What is the expected outcome?
  2. Analyze and break down:

    • Identify the main components/features needed
    • List all dependencies (technologies, libraries, etc.)
    • Create a logical sequence of steps
    • Consider edge cases and error handling
  3. Categorize the plan:

    • Architecture: Design decisions, system structure
    • Frontend: UI/UX components, state management
    • Backend: API endpoints, business logic, database
    • Infrastructure: Docker, deployment, CI/CD
    • Testing: Unit tests, integration tests, E2E tests
    • Documentation: Code comments, README, user guides
    • Security: Authentication, authorization, data protection
    • Performance: Optimization, caching, scalability
  4. Create the ./docs/ structure:

    docs/
    ├── plans/
    │   ├── [category]/
    │   │   ├── plan.md (detailed plan)
    │   │   └── rationale.md (design decisions)
    │   └── TaskList.md (checkable task list)
    └── README.md (plans overview)
    
  5. Generate TaskList.md format:

    # [Task Name] - TaskList
    
    ## Overview
    [Brief description of the task]
    
    ## Tasks
    - [ ] **Task 1 Title**
      Description: [Detailed description of what needs to be done]
      Priority: [High/Medium/Low]
      Category: [Architecture/Frontend/Backend/...]
      Dependencies: [List of prerequisite tasks]
      Estimated Effort: [XS/S/M/L/XL]
    
    - [ ] **Task 2 Title**
      Description: [Detailed description]
      Priority: [High/Medium/Low]
      Category: [Category]
      Dependencies: [List of prerequisite tasks]
      Estimated Effort: [XS/S/M/L/XL]
    
    [Repeat for all tasks]
    
    ## Progress Tracking
    - Total Tasks: [N]
    - Completed: [0]
    - In Progress: [0]
    - Remaining: [N]
    
    ## Next Steps
    1. Start with [first task]
    2. Move to [second task] after completing first
    3. ...
    
    ## Notes
    [Any additional notes or considerations]
    

Read the full file on GitHub · 145 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 145 lines · 35 tokens per session scan A f92d1f45b418

Subscribe to this mod's changes

plan is a skill published in the GitHub repository AIDotNet/MoYuCode (84 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 1,161 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens