shipyard-writing-plans
Use when you have a spec, requirements, or design for a multi-step task — before touching code. Also triggers on "plan this", "break this down", "create tasks", "decompose this feature", or when a task clearly needs more than 2-3 steps to implement. If you're about to start building without a plan, or writing vague tasks like "implement feature X" without file paths and verification commands, this skill applies.
What this skill does
<!-- TOKEN BUDGET: 290 lines / ~870 tokens -->
# Writing Plans
<activation>
## When This Skill Activates
- You have a spec, requirements, or design for a multi-step implementation task
- You need to break work into bite-sized, executable tasks before touching code
- You are preparing work for builder agents or a parallel execution session
**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`
## Natural Language Triggers
- "write a plan", "create a plan", "plan this feature", "break this down into tasks"
</activation>
<instructions>
## 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.
## Shipyard Plan Format
Shipyard plans use XML-structured tasks with verification criteria. Each task includes:
```xml
<task id="1" name="Component Name">
<description>What this task accomplishes</description>
<files>
<create>exact/path/to/file.py</create>
<modify>exact/path/to/existing.py:123-145</modify>
<test>tests/exact/path/to/test.py</test>
</files>
<steps>
<step>Write the failing test</step>
<step>Run test to verify it fails</step>
<step>Write minimal implementation</step>
<step>Run test to verify it passes</step>
<step>Commit</step>
</steps>
<verification>
<command>pytest tests/path/test.py::test_name -v</command>
<expected>PASS</expected>
</verification>
</task>
```
This structured format enables `/shipyard:build` to parse and execute tasks systematically, and `/shipyard:status` to track progress.
## Task Granularity Guide
| Size | Example | Action |
|------|---------|--------|
| **Too big** | "Implement authentication system" | Split — no single commit for a whole system |
| **Right size** | "Add JWT token validation middleware" | Keep — one TDD cycle, one commit |
| **Too small** | "Add import statement" | Merge with its parent task |
**Target:** Each task = one TDD cycle (write test → fail → implement → pass → commit). If a task needs more than one commit, split it.
## 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
## Coupling Detection
Before ordering tasks, check for dependencies. Tasks that must share state or touch the same file need sequencing:
| Dependency Type | Example | Resolution |
|----------------|---------|------------|
| Same file | Tasks A and B both modify `auth.py` | Sequence them; never parallelize |
| Import dependency | Task B imports what Task A creates | B blocks on A |
| Interface contract | Task B depends on Task A's return type | Define interface in Task A, implement in B |
| Shared utility | Both tasks call a helper that doesn't exist yet | Create helper as Task 0 |
**Red flag:** Two tasks listed as parallelizable that both modify the same file — this will produce merge conflicts.
## Mid-Phase Adaptation
When reality diverges from the plan during execution:
- **Minor divergence** (file path changed, one extra step) — adapt in place, note in SUMMARY.md
- **Major divergence** (wrong architecture, missing component) — pause, update plan, re-approve before continuing
- **Blocker** (dependency missing, API changed) — stop, document in SUMMARY.md as blocker, escalate
Do not silently adapt major changes. The plan is a contract; changes need acknowledgment.
## Plan Document Header
**Every plan MUST start with this header:**
```markdown
# [Feature Name] Implementation Plan
> **For Claude:** REQUIRED SUB-SKILL: Use shipyard:shipyard-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
```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"
```
```
</instructions>
<examples>
## Example: Well-Written vs Poorly-Written Plan Task
<example type="good" title="Clear, executable task with exact paths and code">
### Task 2: Add Email Validation
**Files:**
- Create: `src/validators/email.py`
- Test: `tests/validators/test_email.py`
**Step 1: Write the failing test**
```python
def test_rejects_empty_email():
with pytest.raises(ValidationError, match="email is required"):
validate_email("")
```
**Step 2: Run test to verify it fails**
Run: `pytest tests/validators/test_email.py::test_rejects_empty_email -v`
Expected: FAIL with "cannot import name 'validate_email'"
**Step 3: Write minimal implementation**
```python
from src.errors import ValidationError
def validate_email(email: str) -> str:
if not email or not email.strip():
raise ValidationError("email is required")
return email.strip()
```
**Step 4: Run test to verify it passes**
Run: `pytest tests/validators/test_email.py::test_rejects_empty_email -v`
Expected: PASS
**Step 5: Commit**
```bash
git add src/validators/email.py tests/validators/test_email.py
git commit -m "feat: add email validation with empty check"
```
</example>
<example type="bad" title="Vague task that leaves builder guessing">
### Task 2: Add Validation
Add email validation to the project. Make sure it handles edge cases. Write tests.
</example>
The good example provides exact file paths, complete code, exact commands with expected output, and a single commit per TDD cycle. The bad example forces the builder to guess paths, invent code, and figure out what "edge cases" means.
</examples>
<rules>
## 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
## Red Flags
A plan is not ready to ship if any task:
- Has no file path (builder must guess where to put the code)
- Has no verification command (builder cannot confirm it worked)
- Touches the same file as an adjacent task (guaranteed conflict)
- Would take more than 20 minutes (too big — split it)
- Mentions "implement feature X" without TDD steps (builder will skip tests)
## AI-Awareness: Common Plan Quality Failures
AI writers produce plans with predictable failure modes:
| Failure | Symptom | Fix |
|---------|---------|-----|
| Tightly-coupled tasks | Two tasks listed as parallel both modify same file | Add dependency, sequence them |
| Vague verification | `<expected>success</expected>` | Specify exact output or exit code |
| Missing file paths | "Add auth middleware" without path | Read codebase, provide exact path |
| Over-scoped tasks | Single task covers auth + session + logging | SpRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
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mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
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plaid
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nextjs-framer-motion-animations
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