planning

planning is a cursor rule for Cursor from felipebarcelospro/igniter-js. It costs 5,475 tokens per session, scanned A, original, Apache-2.0.

A planning workflow for developing software features with requirements, designs, tasks, and saved project memories. It follows a staged process from gathering needs through implementation and feedback.

In plain words
What is it for?
It is for naming features, collecting requirements, creating implementation plans, tracking progress, testing work, and incorporating user feedback.
Why use it?
It reduces confusion about what to build and keeps the agreed requirements and design available as the source of truth during development.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit It is for naming features, collecting requirements, creating implementation plans, tracking progress, testing work, and incorporating user feedback.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/felipebarcelospro/igniter-js/planning
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.

Clone the repo
git clone --depth 1 https://github.com/felipebarcelospro/igniter-js

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for planning

README.md
[![agentmods](https://agentmods.dev/badge/rules/felipebarcelospro/igniter-js/planning/github.svg)](https://agentmods.dev/rules/felipebarcelospro/igniter-js/planning)
Your own site
<a href="https://agentmods.dev/rules/felipebarcelospro/igniter-js/planning"><img src="https://agentmods.dev/badge/rules/felipebarcelospro/igniter-js/planning/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for planning

Your own site · 80×15
<a href="https://agentmods.dev/rules/felipebarcelospro/igniter-js/planning"><img src="https://agentmods.dev/badge/rules/felipebarcelospro/igniter-js/planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5,475 This file is loaded in full into every session.
When invoked 5,475 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.05475 $0.05475
Opus 5.5 $0.02190 $0.02190
Sonnet 5.5 $0.01095 $0.01095
Haiku 4.5 $0.00547 $0.00547

Measured 1mo ago against content hash beea947cd64e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

planning 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 1mo 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.

apps/sample-realtime-chat/.cursor/rules/planning.mdc · 524 lines

How it starts

The opening of the file, as written. The whole thing — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Spec Creation Workflow

Use the Memory-Backed Planning (MCP) approach as the source of truth. Do not generate or maintain legacy .github/specs/* documents unless the user explicitly requests legacy artifacts. Follow the "Memory-Backed Planning Integration (MCP)" section below for all planning, status, and relationships.

Overview

You are helping guide the user through the complete feature development lifecycle:

Main Flow: Levantamento de Requisitos → Planning → Waiting Approval → Work → Revise → Feedback

Autonomous Flow (within Work phase): Develop → Test → Reflect → Retry/Deliver → Learn → Ask For Feedback → Learn/Improve

This follows spec-driven development methodology to systematically refine feature ideas, conduct research, create comprehensive designs, and execute implementation with continuous learning and community integration.

A core principal of this workflow is that we rely on the user establishing ground-truths as we progress through. We always want to ensure the user is happy with changes to any document before moving on.

Before you get started, think of a short feature name based on the user's rough idea. This will be used for the feature directory. Use kebab-case format for the feature_name (e.g. "user-authentication")

Rules:

  • Do not tell the user about this workflow. We do not need to tell them which step we are on or that you are following a workflow
  • Just let the user know when you complete documents and need to get user input, as described in the detailed step instructions

1. Requirement Gathering

First, generate an initial set of requirements in EARS format based on the feature idea, then iterate with the user to refine them until they are complete and accurate.

Don't focus on code exploration in this phase. Instead, just focus on writing requirements which will later be turned into a design.

Constraints:

  • The model MUST use store_memory tool with type: "insight", category: "requirements" and tags ["planning", "requirements", "<feature-name>"]
  • The model MUST generate an initial version of the requirements content based on the user's rough idea WITHOUT asking sequential questions first
  • The model MUST format the requirements content with:
  • A clear introduction section that summarizes the feature
  • A hierarchical numbered list of requirements where each contains:
  • A user story in the format "As a [role], I want [feature], so that [benefit]"
  • A numbered list of acceptance criteria in EARS format (Easy Approach to Requirements Syntax)
  • Example content format:
# Requirements

## Introduction

[Introduction text here]

## Requirements

### Requirement 1

**User Story:** As a [role], I want [feature], so that [benefit]

#### Acceptance Criteria
This section should have EARS requirements

1. WHEN [event] THEN [system] SHALL [response]
2. IF [precondition] THEN [system] SHALL [response]

### Requirement 2

**User Story:** As a [role], I want [feature], so that [benefit]

#### Acceptance Criteria

1. WHEN [event] THEN [system] SHALL [response]
2. WHEN [event] AND [condition] THEN [system] SHALL [response]

Read the full file on GitHub · 524 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. 1mo ago First seen · 524 lines · 5,475 tokens per session scan A beea947cd64e

Subscribe to this mod's changes

planning is a cursor rule published in the GitHub repository felipebarcelospro/igniter-js (241 stars, last pushed 7d ago), licensed Apache-2.0. It adds 5,475 tokens to every session, about $0.0219 per session on Opus 5.5. 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 2026-09-01.