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Writing Plans

  • 8 installs
  • 33 repo stars
  • Updated April 26, 2026
  • bighardperson/computer-science-skills-collection

This is a copy of writing-plans by julianromli - installs and ranking accrue to the original listing.

Writing Plans is a Claude Code skill that turns a spec into a bite-sized, TDD-structured implementation plan saved to docs/plans for task-by-task execution.

About

Writing Plans is a skill that generates a detailed implementation plan from a spec or requirements before coding starts. It breaks the work into bite-sized tasks (write the failing test, run it, implement, commit) with exact file paths and expected command output. A developer uses it when a multi-step task needs a written plan an engineer with no codebase context can follow. It saves the plan to docs/plans and offers subagent-driven or parallel-session execution.

  • Turns a spec into a task-by-task implementation plan (2-5 minute steps)
  • Enforces a required plan-document header and TDD/DRY/YAGNI structure
  • Offers a subagent-driven or parallel-session execution handoff

Writing Plans by the numbers

  • 8 all-time installs (skills.sh)
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
At a glance

writing-plans capabilities & compatibility

free

Capabilities
task planning · tdd workflow · spec breakdown
Use cases
planning · project management · testing
Pricing
Free
From the docs

What writing-plans says it does

Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.
SKILL.md
Save plans to:** `docs/plans/YYYY-MM-DD-<feature-name>.md`
SKILL.md
Use when you have a spec or requirements for a multi-step task, before touching code
SKILL.md
npx skills add https://github.com/bighardperson/computer-science-skills-collection --skill writing-plans

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Listed on Skillselion
Installs8
repo stars33
Last updatedApril 26, 2026
Repositorybighardperson/computer-science-skills-collection

What it does

Convert a spec into a task-by-task TDD implementation plan an engineer with zero codebase context can execute.

Who is it for?

Planning a multi-step feature before touching code

Skip if: Small single-step changes that need no written plan

When should I use this skill?

You have a spec or requirements for a multi-step task, before touching code

What you get

A saved plan of bite-sized, testable tasks with exact files, commands and expected output.

  • Implementation plan markdown document
  • Bite-sized task list with exact file paths and commands

By the numbers

  • Each step is one 2-5 minute action
  • 5-step per-task cycle: test, verify fail, implement, verify pass, commit

Files

SKILL.mdMarkdownGitHub ↗

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."

Context: This should be run in a dedicated worktree (created by brainstorming skill).

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

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 Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.

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

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

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

---

Task Structure

### Task N: [Component Name]

**Files:**
- Create: `exact/path/to/file.py`
- Modify: `exact/path/to/existing.py:123-145`
- Test: `tests/exact/path/to/test.py`

**Step 1: Write the failing test**

def test_specific_behavior(): result = function(input) assert result == expected


**Step 2: Run test to verify it fails**

Run: `pytest tests/path/test.py::test_name -v`
Expected: FAIL with "function not defined"

**Step 3: Write minimal implementation**

def function(input): return expected


**Step 4: Run test to verify it passes**

Run: `pytest tests/path/test.py::test_name -v`
Expected: PASS

**Step 5: Commit**

git add tests/path/test.py src/path/file.py git commit -m "feat: add specific feature"

Remember

  • Exact file paths always
  • Complete code in plan (not "add validation")
  • Exact commands with expected output
  • Reference relevant skills with @ syntax
  • DRY, YAGNI, TDD, frequent commits

Execution Handoff

After saving the plan, offer execution choice:

"Plan complete and saved to `docs/plans/<filename>.md`. Two execution options:

1. Subagent-Driven (this session) - I dispatch fresh subagent per task, review between tasks, fast iteration

2. Parallel Session (separate) - Open new session with executing-plans, batch execution with checkpoints

Which approach?"

If Subagent-Driven chosen:

  • REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development
  • Stay in this session
  • Fresh subagent per task + code review

If Parallel Session chosen:

  • Guide them to open new session in worktree
  • REQUIRED SUB-SKILL: New session uses superpowers:executing-plans

Related skills

FAQ

How granular should each step be?

Each step is one action taking 2-5 minutes, such as write the failing test, run it, implement, then commit.

Where are plans saved?

Plans are saved to docs/plans/YYYY-MM-DD-<feature-name>.md.

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