Agent skill

Planning Mastery

by xenitV1 in xenitV1/claude-code-maestro

Create concise, architectural implementation plans using the RFC-Lite format.

MITAuto-check: notesAgent Workflows

Install Planning Mastery

skills CLI
$ npx skills add xenitV1/claude-code-maestro --skill planning-mastery -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xenitV1/claude-code-maestro planning-mastery --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/xenitV1/claude-code-maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/planning-mastery .claude/skills/planning-mastery && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
planning-mastery
GitHub stars
229
Token cost
~699 tokens
SKILL.md length
213 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Create concise, architectural implementation plans using the RFC-Lite format.

  • Works in 4 steps: NO CODE BLOCKS: Do not write function… → NO EXPLANATIONS: Do not teach the user… → NO CONVERSATION: Do not talk to the user… → …
  • Tasks that involve Planning
  • SKILL.md covers 🎯 CORE PHILOSOPHY, 📝 MANDATORY TEMPLATE (Copy &…, ⛔ ZERO TOLERANCE RULES and 📂 COGNITIVE AUDIT CYCLE
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Planning Mastery is an agent skill from xenitV1/claude-code-maestro. Create concise, architectural implementation plans using the RFC-Lite format. STRICTLY LIMITED VERBOSITY.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning. The licence is MIT.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “/planning-mastery”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. NO CODE BLOCKS: Do not write function bodies in the plan.
  2. NO EXPLANATIONS: Do not teach the user why React is good.
  3. NO CONVERSATION: Do not talk to the user in the plan.
  4. STAY HIGH LEVEL: "Implement Auth" is better than "Write function login() { ... }".

What it can do on your machine

Read from SKILL.md and the folder at commit 924315b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Planning Mastery loads about 699 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 213 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~699

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Glob, Grep, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from xenitV1/claude-code-maestro at commit 924315b, republished under its MIT licence (© xenitV1). 213 words, ~699 tokens.

Download SKILL.mdSave it as .claude/skills/planning-mastery/SKILL.md (or your agent's skills folder).
name
planning-mastery
description
Create concise, architectural implementation plans using the RFC-Lite format. STRICTLY LIMITED VERBOSITY.
allowed-tools
Read, Write, Edit, Glob, Grep, Bash

<domain_overview>

📋 RFC-Lite Planning Protocol

The 300-Line Limit: If your plan exceeds 300 lines, YOU HAVE FAILED. Rule: Code belongs in files, not plans. Do not write pseudo-code. Do not paste entire file contents. Focus: Define What (Files), How (Logic Strategy), and Success (Verification).

DEPENDENCY FORECASTING MANDATE (CRITICAL): Never propose a change without mapping its "Blast Radius". AI-generated plans frequently fail by ignoring downstream effects on coupled modules. Before defining file changes, you MUST explicitly identify which existing features or tests might break. If a change requires "Shotgun Surgery" (modifying more than 5 files for one feature), you MUST pause and propose an architectural abstraction instead. </domain_overview> <philosophy>

🎯 CORE PHILOSOPHY

Understanding comes before implementation. A well-designed solution is half-implemented. Never code without a clear design. </philosophy> <template_enforcement>

📝 MANDATORY TEMPLATE (Copy & Fill)

markdown
# [Task/Feature Name] - Implementation Plan
## 1. 🎯 Objective
[1-2 sentences strictly defining the goal.]
## 2. 🏗️ Tech Strategy
- **Pattern:** [e.g. Composition vs Inheritance]
- **State:** [e.g. Global Store vs Local Hook]
- **Constraints:** [e.g. "Must use LCH colors", "No external libs"]
## 3. 📂 File Changes
| Action | File Path | Brief Purpose |
|:-------|:----------|:--------------|
| [NEW]  | `src/components/MyComp.tsx` | Visual shell |
| [MOD]  | `src/App.tsx` | Routing integration |
## 4. 👣 Execution Sequence
1.  **Scaffold:** Create component files with types (No logic yet).
2.  **Logic:** Implement `useLogic.ts` hook with TDD.
3.  **Visuals:** Apply LCH gradients & Glassmorphism.
4.  **Connect:** Wire up to parent component.
## 5. ✅ Verification Standards
- [ ] **Visual:** Check against `frontend_reference.md` (no flat colors).
- [ ] **Interaction:** Verify `scale(0.97)` tap effect.
- [ ] **Console:** Zero errors during flow.

</template_enforcement> <strict_rules>

⛔ ZERO TOLERANCE RULES

  1. NO CODE BLOCKS: Do not write function bodies in the plan.
  2. NO EXPLANATIONS: Do not teach the user why React is good.
  3. NO CONVERSATION: Do not talk to the user in the plan.
  4. STAY HIGH LEVEL: "Implement Auth" is better than "Write function login() { ... }". </strict_rules> <audit_and_reference>

📂 COGNITIVE AUDIT CYCLE

  1. Does the plan exceed 300 lines?
  2. Are all breaking changes identified?
  3. Is it RFC-Lite compliant?
  4. Are verification steps actionable commands? </audit_and_reference>

© xenitV1, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/planning-mastery of xenitV1/claude-code-maestro.

Open the folder on GitHubat commit 924315b

Compare with similar skills

Planning Mastery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Planning Mastery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Planning Mastery this skillxenitV1/claude-code-maestro229—~699Automated safety check: NotesMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    103k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    71k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 57 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    313 GitHub starsUsed in 19 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

More from xenitV1/claude-code-maestro

All 13 skills in this repo
  • Clean Code

    xenitV1/claude-code-maestro

    The Foundation Skill. An agent skill from xenitV1/claude-code-maestro.

    229 GitHub stars~1.5k tokensUpdated 8 mo ago
    Auto-check passed
  • Ralph Wiggum

    xenitV1/claude-code-maestro

    Surgical Debugger & Code Optimizer. An agent skill from xenitV1/claude-code-maestro.

    229 GitHub stars~795 tokensUpdated 8 mo ago
    Auto-check: notes
  • Backend Design

    xenitV1/claude-code-maestro

    Elite Tier Backend standards, including Vertical Slice Architecture, Zero Trust Security, and High-Performance API protocols.

    229 GitHub stars~2.1k tokensUpdated 8 mo ago
    Auto-check: notes
  • Brainstorming

    xenitV1/claude-code-maestro

    Design-first methodology. An agent skill from xenitV1/claude-code-maestro.

    229 GitHub stars~2k tokensUpdated 8 mo ago
    Auto-check passed
  • Browser Extension

    xenitV1/claude-code-maestro

    Master specialized skill for building 2025/2026-grade browser extensions.

    229 GitHub stars~1.2k tokensUpdated 8 mo ago
    Auto-check: notes
  • Debug Mastery

    xenitV1/claude-code-maestro

    Systematic debugging methodology with 4-phase process, root cause tracing, and elite observability standards.

    229 GitHub stars~2.5k tokensUpdated 8 mo ago
    Auto-check: notes

Categories

Questions about Planning Mastery

What does Planning Mastery do?

Create concise, architectural implementation plans using the RFC-Lite format. Planning Mastery is an agent skill from xenitV1/claude-code-maestro. Create concise, architectural implementation plans using the RFC-Lite format.

When should I use Planning Mastery?

Planning Mastery fits situations like: tasks that involve Planning.

How do I install Planning Mastery in Claude Code?

Run `npx skills add xenitV1/claude-code-maestro --skill planning-mastery -a claude-code`. Or copy the skill folder (skills/planning-mastery in xenitV1/claude-code-maestro) into .claude/skills/planning-mastery in your project. Claude Code loads it when a task matches its description.

How do I install Planning Mastery in Codex?

Run `npx skills add xenitV1/claude-code-maestro --skill planning-mastery -a codex`. Or copy the skill folder (skills/planning-mastery in xenitV1/claude-code-maestro) into .agents/skills/planning-mastery in your project. Codex loads it when a task matches its description.

Can I use Planning Mastery in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xenitV1/claude-code-maestro --skill planning-mastery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/planning-mastery, .gemini/skills/planning-mastery, .github/skills/planning-mastery and .opencode/skills/planning-mastery in your project.

What does Planning Mastery need to run?

SKILL.md names no scripts, command-line tools or credentials: Planning Mastery is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash.

Does Planning Mastery access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Planning Mastery safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Planning Mastery use?

Planning Mastery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Planning Mastery use?

About 699 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Planning Mastery?

Skills that share tags, products or a category with Planning Mastery: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Planning Mastery?

xenitV1 (a GitHub user) maintains it in xenitV1/claude-code-maestro, which has 229 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on January 24, 2026.

Source: xenitV1/claude-code-maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.