task-generate-list

A workflow for turning a product requirements document and technical specification into a detailed list of development tasks. A JSON file is the main task record, while Markdown files are readable generated views.

In plain words
What is it for?
It helps create feature task folders, task summaries, individual task files, complexity reports, and a combined requirements-and-specification document.
Why use it?
It gives teams a consistent way to break work into phases, assess complexity, and keep task status changes in one authoritative place.

Cursor rule for Cursor

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 rules/compozy/gograph/task-generate-list
Clone the repo
git clone --depth 1 https://github.com/compozy/gograph

Made for: Cursor.

Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,227 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 $0.00020 $0.02227
Opus 5 $0.00010 $0.01113
Sonnet 5 $0.00004 $0.00445
Haiku 4.5 $0.00002 $0.00223

Measured 2d ago against content hash e43b083c3d84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-generate-list 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 2d 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.

.cursor/rules/task-generate-list.mdc · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rule: Generating a Task List from a PRD

<source_of_truth_policy> SINGLE SOURCE OF TRUTH: Taskmaster JSON

  • tasks.json (generated by taskmaster) is the authoritative task store
  • _tasks.md and individual <num>_task.md files are generated views from the JSON
  • All task status updates, modifications, and tracking must be done through taskmaster MCP tools
  • Markdown files are for human readability and should be regenerated when JSON changes
  • Never manually edit Markdown task files - use taskmaster commands for all task operations </source_of_truth_policy>

<output_specification>

  • Format: Markdown (.md)
  • Locations:
    • Feature folder: /tasks/prd-[feature-slug]/
    • Tasks summary file: /tasks/prd-[feature-slug]/_tasks.md (generated from JSON)
    • Individual task files: /tasks/prd-[feature-slug]/<num>_task.md (generated from JSON)
    • Authoritative source: /tasks/prd-[feature-slug]/tasks.json (taskmaster managed)
    • Complexity report: /tasks/prd-[feature-slug]/task-complexity-report.json
    • Merged file: /tasks/prd-[feature-slug]/merged_prd_techspec.md </output_specification>

Process

<process_steps>

  1. Receive PRD Reference: The user points the AI to a specific PRD file
  2. Verify Tech Spec: Confirm that a corresponding tech spec document exists (tasks/prd-[feature-slug]/_techspec.md). If not, remind the user to create it using prd-tech-spec.mdc before proceeding with task generation.
  3. Generate Merged File: Run mf ./tasks/prd-[feature-slug] to generate a merged file containing the PRD + techspec (merged_prd_techspec.md)
  4. Create Taskmaster Tag: Using the taskmaster MCP, create a tag for this feature implementation
  5. Generate Taskmaster Tasks: Use taskmaster's parse-prd functionality with the merged file to generate the initial task structure (tasks.json)
  6. Generate Complexity Report: Use taskmaster to analyze task complexity and generate the complexity report (task-complexity-report.json)
  7. Generate Tasks Summary: Based on the taskmaster output and complexity analysis, create the _tasks.md file following the established format
  8. Parallel Agent Analysis: ⚠️MUST: For each task under the prd-[slug], spin up parallel agents to provide a final analysis. Check based on the current architecture and files if we are duplicating stuff or forgetting something - a general analysis using our current architecture as review before starting the tasks
  9. Wait for Confirmation: Present the analysis results to the user and inform them: "I have completed the task generation and architectural analysis. Ready to proceed with implementation? Respond with 'Go' to start."
  10. Generate Individual Task Files: Create separate files for each parent task in /tasks/prd-[feature-slug]/<num>_task.md </process_steps>

Read the full file on GitHub · 211 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. 2d ago First seen · 211 lines · 20 tokens per session scan A e43b083c3d84

Subscribe to this mod's changes

task-generate-list is a cursor rule published in the GitHub repository compozy/gograph (9 stars, last pushed 1y ago), licensed MIT. It adds 20 tokens to every session and 2,227 once invoked, about $0.0001 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 2026-08-31.