Agent skill

writing-plans

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

Stars 26,484
Forks 4,773

Install this agent skill to your Project

npx add-skill https://github.com/srbhr/Resume-Matcher/tree/main/.claude/skills/writing-plans

SKILL.md

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:

markdown
# [Feature Name] Implementation Plan

> **For agentic workers:** REQUIRED: Use superpowers:subagent-driven-development (if subagents available) or superpowers:executing-plans to implement this plan. 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

markdown
### 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"
```

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

Plan Review Loop

After completing each chunk of the plan:

  1. Dispatch plan-document-reviewer subagent (see plan-document-reviewer-prompt.md) with precisely crafted review context — never your session history. This keeps the reviewer focused on the plan, not your thought process.
    • Provide: chunk content, path to spec document
  2. If ❌ Issues Found:
    • Fix the issues in the chunk
    • Re-dispatch reviewer for that chunk
    • Repeat until ✅ Approved
  3. If ✅ Approved: proceed to next chunk (or execution handoff if last chunk)

Chunk boundaries: Use ## Chunk N: <name> headings to delimit chunks. Each chunk should be ≤1000 lines and logically self-contained.

Review loop guidance:

  • Same agent that wrote the plan fixes it (preserves context)
  • If loop exceeds 5 iterations, surface to human for guidance
  • Reviewers are advisory - explain disagreements if you believe feedback is incorrect

Execution Handoff

After saving the plan:

"Plan complete and saved to docs/superpowers/plans/<filename>.md. Ready to execute?"

Execution path depends on harness capabilities:

If harness has subagents (Claude Code, etc.):

  • REQUIRED: Use superpowers:subagent-driven-development
  • Do NOT offer a choice - subagent-driven is the standard approach
  • Fresh subagent per task + two-stage review

If harness does NOT have subagents:

  • Execute plan in current session using superpowers:executing-plans
  • Batch execution with checkpoints for review

Expand your agent's capabilities with these related and highly-rated skills.

srbhr/Resume-Matcher

ui-review

Review UI changes against Swiss International Style design system. Checks colors, typography, borders, shadows, spacing, and anti-patterns. Use before committing any frontend UI changes.

26,484 4,773
Explore
srbhr/Resume-Matcher

codebase-navigator

Navigate, search, and understand the Resume Matcher codebase using ripgrep, ack, or grep. Find functions, classes, components, API endpoints, trace data flows, and understand architecture. Use FIRST when exploring code, finding files, or understanding project structure.

26,484 4,773
Explore
srbhr/Resume-Matcher

fastapi

Build Python APIs with FastAPI, Pydantic v2, and async patterns. Covers project structure, JWT auth, validation, database integration, and 7 documented error preventions. Use when creating Python APIs, implementing auth, or troubleshooting 422 validation, CORS, async blocking, or schema errors.

26,484 4,773
Explore
srbhr/Resume-Matcher

tailwind-patterns

Production-ready Tailwind CSS patterns for responsive layouts, cards, navigation, forms, buttons, and typography. Includes spacing scale, breakpoints, mobile-first patterns, dark mode, and Swiss International Style overrides for Resume Matcher.

26,484 4,773
Explore
srbhr/Resume-Matcher

full-stack

Full-stack development skill that coordinates backend and frontend changes together. Use for features that span both layers: new API endpoint + UI, data model changes, end-to-end flows.

26,484 4,773
Explore
srbhr/Resume-Matcher

code-review

Review code for correctness, security, performance, and Resume Matcher conventions. Use when receiving code review feedback or before submitting PRs. Requires technical rigor, not performative agreement.

26,484 4,773
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results