superpowers-writing-plans

superpowers-writing-plans is a skill for Claude Code, Codex from regen-coordination/org-os-template. It costs 33 tokens per session (907 once invoked), scanned A, original, MIT.

A method for turning a software specification into a detailed implementation plan before coding begins. It assumes the implementer knows programming but not the project's tools, files, or business domain.

In plain words
What is it for?
It helps map files, split work into small tasks, define interfaces, plan tests and documentation, and save the plan in the project's documentation folder.
Why use it?
Large tasks are easier to implement and test when the files, boundaries, code changes, and verification steps are decided in advance. It reduces missing work and unclear handoffs.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions subagents; built for openclaw.

Good fit It helps map files, split work into small tasks, define interfaces, plan tests and documentation, and save the plan in the project's documentation folder.

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Install with agentmods
npx agentmods add skills/regen-coordination/org-os-template/superpowers-writing-plans
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.

Any agent
npx skills add regen-coordination/org-os-template --skill superpowers-writing-plans
Clone the repo
git clone --depth 1 https://github.com/regen-coordination/org-os-template

Made for: Claude Code, Codex.

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 superpowers-writing-plans

README.md
[![agentmods](https://agentmods.dev/badge/skills/regen-coordination/org-os-template/superpowers-writing-plans/github.svg)](https://agentmods.dev/skills/regen-coordination/org-os-template/superpowers-writing-plans)
Your own site
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/superpowers-writing-plans"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/superpowers-writing-plans/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 superpowers-writing-plans

Your own site · 80×15
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/superpowers-writing-plans"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/superpowers-writing-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 907 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00033 $0.00907
Opus 5 $0.00016 $0.00453
Sonnet 5 $0.00007 $0.00181
Haiku 4.5 $0.00003 $0.00091

Measured 9d ago against content hash bfb57e10fb43, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

superpowers-writing-plans 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 9d 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/superpowers-writing-plans/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing Plans

Overview

Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.

Assume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.

Announce at start: "I'm using the writing-plans skill to create the implementation plan."

Save plans to: docs/superpowers/plans/YYYY-MM-DD-<feature-name>.md

Scope Check

If the spec covers multiple independent subsystems, it should have been broken into sub-project specs during brainstorming. If it wasn't, suggest breaking this into separate plans — one per subsystem. Each plan should produce working, testable software on its own.

File Structure

Before defining tasks, map out which files will be created or modified and what each one is responsible for.

  • Design units with clear boundaries and well-defined interfaces.
  • Prefer smaller, focused files over large ones that do too much.
  • Files that change together should live together. Split by responsibility, not by technical layer.
  • In existing codebases, follow established patterns.

Bite-Sized Task Granularity

Each step is one action (2-5 minutes):

  • "Write the failing test" — step
  • "Run it to make sure it fails" — step
  • "Implement the minimal code to make the test pass" — step
  • "Run the tests and make sure they pass" — step
  • "Commit" — step

Plan Document Header

Every plan MUST start with this header:

# [Feature Name] Implementation Plan

> **For agentic workers:** REQUIRED SUB-SKILL: Use `superpowers:subagent-driven-development` (recommended) or `superpowers:executing-plans` to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.

**Goal:** [One sentence describing what this builds]

**Architecture:** [2-3 sentences about approach]

**Tech Stack:** [Key technologies/libraries]

---

Read the full file on GitHub · 108 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. 9d ago First seen · 108 lines · 33 tokens per session scan A bfb57e10fb43

Subscribe to this mod's changes

superpowers-writing-plans is a skill published in the GitHub repository regen-coordination/org-os-template (5 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 907 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 2026-09-03.

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