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obra/writing-plans

obra

writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code

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v1.0Saved May 2, 2026

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/superpowers/plans/YYYY-MM-DD-<feature-name>.md

  • (User preferences for plan location override this default)

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. This is where decomposition decisions get locked in.

  • Design units with clear boundaries and well-defined interfaces. Each file should have one clear responsibility.
  • You reason best about code you can hold in context at once, and your edits are more reliable when files are focused. 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. If the codebase uses large files, don't unilaterally restructure - but if a file you're modifying has grown unwieldy, including a split in the plan is reasonable.

This structure informs the task decomposition. Each task should produce self-contained changes that make sense independently.

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]

---

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**

```python
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**

```python
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**

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

No Placeholders

Every step must contain the actual content an engineer needs. These are plan failures — never write them:

  • "TBD", "TODO", "implement later", "fill in details"
  • "Add appropriate error handling" / "add validation" / "handle edge cases"
  • "Write tests for the above" (without actual test code)
  • "Similar to Task N" (repeat the code — the engineer may be reading tasks out of order)
  • Steps that describe what to do without showing how (code blocks required for code steps)
  • References to types, functions, or methods not defined in any task

Remember

  • Exact file paths always
  • Complete code in every step — if a step changes code, show the code
  • Exact commands with expected output
  • DRY, YAGNI, TDD, frequent commits

Self-Review

After writing the complete plan, look at the spec with fresh eyes and check the plan against it. This is a checklist you run yourself — not a subagent dispatch.

1. Spec coverage: Skim each section/requirement in the spec. Can you point to a task that implements it? List any gaps.

2. Placeholder scan: Search your plan for red flags — any of the patterns from the "No Placeholders" section above. Fix them.

3. Type consistency: Do the types, method signatures, and property names you used in later tasks match what you defined in earlier tasks? A function called clearLayers() in Task 3 but clearFullLayers() in Task 7 is a bug.

If you find issues, fix them inline. No need to re-review — just fix and move on. If you find a spec requirement with no task, add the task.

Execution Handoff

After saving the plan, offer execution choice:

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

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

2. Inline Execution - Execute tasks in this session using executing-plans, batch execution with checkpoints

Which approach?"

If Subagent-Driven chosen:

  • REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development
  • Fresh subagent per task + two-stage review

If Inline Execution chosen:

  • REQUIRED SUB-SKILL: Use superpowers:executing-plans
  • Batch execution with checkpoints for review
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Overall Score

88/100

Grade

A

Excellent

Safety

95

Quality

87

Clarity

88

Completeness

82

Summary

A skill that guides AI agents to write comprehensive, bite-sized implementation plans for multi-step features before coding begins. It enforces clear file structure, TDD workflow, exact code examples in every step, and frequent commits to keep an unfamiliar developer on track through a codebase.

Detected Capabilities

Plan decomposition and task sequencingFile structure design and mappingTest-driven development workflow guidanceCode example generation with exact paths and commandsGit workflow and commit strategy documentationSpec coverage validation and gap detectionPlan document generation and formatting

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

write implementation planbreak down spec into tasksplan feature developmenttdd task breakdowndocument development roadmap

Use Cases

  • Plan a complex feature implementation across multiple files
  • Break down a spec into actionable, TDD-driven tasks
  • Document implementation strategy for a new contributor
  • Create a reference plan for asynchronous task execution by subagents

Quality Notes

  • Excellent scope clarity — skill is explicitly non-generative; it *plans* work rather than executes it
  • Strong pedagogical design — assumes reader has zero domain knowledge and 'questionable taste'; tasks are self-contained
  • Comprehensive 'no placeholders' policy prevents vague instructions that would trap an implementer
  • Self-review checklist (spec coverage, placeholder scan, type consistency) bakes quality gates into the process
  • Well-structured task template with checkbox syntax enables progress tracking across subagents
  • Good contextualization — assumes execution in a dedicated worktree from brainstorming phase
  • Plan handoff explicitly offers two execution paths (subagent-driven vs. inline) and routes to correct sub-skills
  • Supporting file (plan-document-reviewer-prompt.md) provides a quality-gate dispatcher template
  • File structure guidance emphasizes responsibility-driven design and context-fit, not technical layering
  • Task granularity guidance (2-5 minute steps) is concrete and repeatable
  • Assumption that implementer is skilled but unfamiliar with toolset is realistic for team onboarding
Model: claude-haiku-4-5-20251001Analyzed: May 2, 2026

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