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writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use when you have a spec or requirements for a multi-step task, before touching code
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Query or contribute to syv.ai's shared company brain — the private 1brain GitHub repo (kunder, tilbud, teknik, strategi, wiki) — from any session, regardless of the current directory. Bootstraps a local clone when needed. Use when the user asks what syv.ai knows about a client or topic ("hvad ved vi om Krifa?", "har vi løst noget lignende før?"), wants something added to the brain ("tilføj til hjernen", mødenoter, læringer, nye dokumenter), or mentions 1brain or hjernen. All brain content is in Danish.
Write a syv.ai client proposal (tilbud, forslag, offer, PoC-beskrivelse, bud på udbud) in the company's fixed format and style, and render it as a branded PDF. Works from any session — bootstraps the private 1brain repo where the full proposal skill, templates and Typst PDF pipeline live. Trigger on opgavebeskrivelser, kravspecifikationer, SKI-udbud, RFPs and "lav et tilbud til …", also when the word "tilbud" isn't used directly.
Interviews the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when the user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Zooms out to give broader context or a higher-level perspective on a section of code. Use when you're unfamiliar with an area of code or need to understand how it fits into the bigger picture.
How to add or restyle a D3 diagram in the playbook docs (MkDocs Material). Use for any flowchart, diagram, chart, or graphic in docs/.
Use when a plan is multi-file, architecture-heavy, data-heavy, UI-heavy, ambiguous, or risky enough that the wrong direction would be expensive to undo. Renders the plan as a single self-contained HTML review surface — diagrams, file maps, annotated code, open questions — opened in the browser, with decisions captured in the terminal.
SOC 직업 분류 기준
| name | writing-plans |
| description | Use when you have a spec or requirements for a multi-step task, before touching code |
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: If working in an isolated worktree, it should already exist when execution begins.
Save plans to: docs/plans/YYYY-MM-DD-<feature-name>.md
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):
Every plan MUST start with this header:
# [Feature Name] Implementation Plan
> **For agentic workers:** Use the executing-plans skill 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 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:
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.
For a deeper independent check, you can hand the plan to a fresh agent using the prompt in plan-document-reviewer-prompt.md.
After saving the plan, confirm completion:
"Plan complete and saved to docs/plans/<filename>.md. Use the executing-plans skill to implement it task-by-task, with checkpoints for review."