From my-plugins
Use when you have a spec or requirements for a multi-step task, before touching code
How this skill is triggered — by the user, by Claude, or both
Slash command
/my-plugins:plan-writingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
> **Pipeline position:** stage 2 of 3 — see [`reference/pipeline-flow.md`](../../reference/pipeline-flow.md).
Pipeline position: stage 2 of 3 — see
reference/pipeline-flow.md.
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. Assume they have no outside references or knowledge beyond the plan so any references for domain understanding are good to include.
Announce at start: "I'm using the plan-writing skill to create the implementation plan."
Context: This should be run in a dedicated worktree (created by brainstorming skill).
This skill expects an accepted spec and a handoff. Read both before drafting the plan:
spec_path).project-docs/specs/.If either is missing, stop and ask the user for the path. Do not draft a plan without both inputs. If the user invoked this skill without a spec you should point to the claude-scaffolding skill instead for plan-writing
The spec is accepted only when the associated goal metadata shows workflow_stage: spec_accepted or the spec_pr_url / spec_pr_number points to a merged GitHub PR. Use gh auth status and gh pr view <number> --json number,url,state,mergedAt for the first supported backend. If gh is missing, unauthenticated, or the PR is not merged, stop with a clear blocked state.
The user might override this if asked but you may never assume.
The plan lives in the plan-mode plan file for the current session. Do not write a separate file under .claude-control/plans/. After the human approves and the user runs ExitPlanMode, the plan-mode file is the single source of truth that subagent-driven-development consumes.
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.
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.
This structure informs the task decomposition. Each task should produce self-contained changes that make sense independently.
Each step is one action (2-5 minutes):
Always ensure the plan is written in proper markdown using frontmatter.
Every plan MUST start with this frontmatter header:
---
title: "[Feature Name] Implementation Plan"
goal: "One sentence describing what this builds"
architecture: "2-3 sentences about approach"
tech_stack:
- Technology1
spec_path: <ABSOLUTE PATH TO SPEC>
handoff_path: <ABSOLUTE PATH TO HANDOFF>
implementation_method: "<one-line summary of the chosen method>"
skills_to_use:
- claude-scaffolding:subagent-driven-development
- claude-scaffolding:tdd
- claude-scaffolding:finishing-branch
date: YYYY-MM-DD
---
Near the top of the plan body (under the frontmatter), include these sections — every plan, no exceptions:
Ask the user but always assume that tests should pass and be all green. performance should not have been impacted. code quality review should have passed if applicable.
### 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"
```
Every step must contain the actual content an engineer needs. These are plan failures — never write them:
Before showing the plan to the human, dispatch the plan-reviewer subagent with skills/plan-writing/plan-reviewer-prompt.md. The agent reads the plan, the spec, and the handoff, and reports either APPROVED or a list of issues.
Apply all BLOCKING issues inline. For OBSERVATION issues, decide case-by-case whether to address. Re-dispatch the reviewer until it returns APPROVED.
Only after the plan-reviewer returns APPROVED, present the plan to the human. Iterate on their feedback. The skill is complete when the human explicitly approves and runs ExitPlanMode.
When the human approves and runs ExitPlanMode, print:
Plan approved and saved by ExitPlanMode. Mark the goal
workflow_stage: plan_readywithplan_path, then dispatch/autopilot:subagent-driven-developmentto execute. The relay-saved.claude-control/plans/YYYY-MM-DD-*.mdfile is the source of truth — do not re-draft.
Do not auto-invoke the next skill.
Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub fleron/claude-plugins --plugin development-flow