specification-writing
$
npx mdskill add wanshuiyin/Auto-claude-code-research-in-sleep/specification-writingWrite the patent specification based on: **$ARGUMENTS**
SKILL.md
.github/skills/specification-writingView on GitHub ↗
---
name: specification-writing
description: "Write the full patent specification from claims and invention disclosure. Use when user says \"撰写说明书\", \"write specification\", \"写说明书\", \"patent description\", or wants to draft the complete patent specification."
argument-hint: [claims-path]
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, Skill, WebSearch, WebFetch
---
# Specification Writing: Section-by-Section Patent Description
Write the patent specification based on: **$ARGUMENTS**
Adapted from `/paper-write` for patent specifications. The specification supports the claims -- it is not a paper.
## Constants
- `REVIEWER_MODEL = gpt-5.5` — External reviewer for specification quality
- `JURISDICTION = "auto"` — Inherit from pipeline or detect from args; `CN`, `US`, `EP`, `ALL`
- `OUTPUT_FORMAT = "markdown"` — Markdown drafts; converted to filing format by `/jurisdiction-format`
- `OUTPUT_DIR = "patent/"` — Base output directory
- `LANGUAGE = "auto"` — Auto from jurisdiction: CN->Chinese, US/EP->English
## Inputs
1. `patent/CLAIMS.md` — the drafted claims (primary source)
2. `patent/INVENTION_DISCLOSURE.md` — invention decomposition
3. `patent/PRIOR_ART_REPORT.md` — for background section
4. User-provided figures (if any)
## Shared References
Load `../shared-references/patent-writing-principles.md` for specification writing rules, language guidelines, and reference numeral conventions.
Load `../shared-references/patent-format-cn.md` or `patent-format-us.md` or `patent-format-ep.md` based on jurisdiction.
## Workflow
### Step 1: Initialize Specification Structure
Create the output directory and section files:
```
patent/specification/
├── title.md
├── technical_field.md
├── background.md
├── summary.md
├── drawings_description.md
├── detailed_description.md
└── abstract.md
```
### Step 2: Write Title (发明名称)
- Must match the broadest claim scope
- No trademarks, no "improved" or "new" or "novel"
- CN format: "一种[领域]的[技术主题]" or "[领域]的[技术主题]装置"
- US/EP format: "[Technical topic] for [purpose]" or "[Technical topic] and method thereof"
- Keep concise (CN: typically under 25 characters; US: under 500 characters)
### Step 3: Write Technical Field (技术领域)
1-2 paragraphs identifying the technical domain:
- "The present invention relates to [broad field], and more particularly to [specific area]."
- CN: "本发明涉及[技术领域],具体涉及[具体领域]。"
### Step 4: Write Background (背景技术)
This is NOT a literature review. It directly sets up the problem.
Structure:
1. Describe the closest prior art approaches (2-3 paragraphs)
2. Identify specific technical deficiencies of each approach
3. The deficiencies must be technical, not commercial or social
4. DO NOT admit the prior art is "superior" or "better"
5. DO NOT cite specific patent numbers unless they are known prior art (citations go in IDS for US, or Background section for CN)
CN format: "背景技术" section describing existing technology and its shortcomings.
### Step 5: Write Summary (发明内容)
Three parts, directly mirroring INVENTION_DISCLOSURE.md:
**Technical Problem (要解决的技术问题)**:
- State the problem derived from background deficiencies
- CN: "本发明要解决的技术问题是..."
**Technical Solution (技术方案)**:
- Describe how the invention solves the problem
- Must provide support for ALL claim elements
- Start from the broadest claim and describe the core inventive concept
- CN: "为解决上述技术问题,本发明采用的技术方案是:..."
- **NO formulas, NO mathematical derivations, NO circuit models** — these belong in 具体实施方式, not 发明内容
**Advantages (有益效果)**:
- Benefits derived from the structural/technical features (qualitative reasoning)
- CN: "本发明的有益效果是:..."
- **NO specific numerical results** (e.g., "detection limit 70μm", "response time 105ms") — these are experimental findings, not invention properties
- Frame advantages structurally: "由于采用了...结构,因此具有...效果"
### Step 6: Write Brief Description of Drawings (附图说明)
Invoke `/figure-description` as a sub-skill if user has provided figures:
```
/figure-description "patent/figures/"
```
If no user figures, describe what figures should exist based on the claims.
Format:
- CN: "图1是...的示意图;图2是...的流程图;"
- US: "FIG. 1 is a block diagram showing...; FIG. 2 is a flowchart illustrating..."
### Step 7: Write Detailed Description (具体实施方式)
Invoke `/embodiment-description` as a sub-skill:
```
/embodiment-description "patent/CLAIMS.md"
```
This section must:
- Describe at least one complete embodiment with reference numerals
- Enable a POSITA to make and use the invention
- Support every claim element with explicit description
- Include variations and alternatives for broader claim interpretation
### Step 8: Write Abstract (摘要)
Jurisdiction-specific word limits:
| Jurisdiction | Word Limit | Notes |
|-------------|-----------|-------|
| CN | 300 words (Chinese characters) | Include most representative claim reference |
| US | 150 words (2500 characters) | Enable efficient searching, no legal phrases |
| EP | ~150 words | No statements on merits or value |
The abstract summarizes:
1. The technical field
2. The problem being solved
3. The technical solution (core features)
4. Key advantages
### Step 9: Claim Support Verification
Verify every claim element finds support in the specification:
| Claim | Element | Specification Section | Paragraph(s) | Reference Numeral |
|-------|---------|----------------------|-------------|-------------------|
| 1 | step a | detailed_description | ¶3 | 202 |
| 1 | step b | detailed_description | ¶4 | 204 |
| X | component A | detailed_description | ¶2 | 102 |
If any element lacks support, add the necessary description before proceeding.
### Step 10: Cross-Model Review
Call `REVIEWER_MODEL` via a dedicated Codex reviewer agent at xhigh reasoning:
```text
spawn_agent:
model: gpt-5.5
reasoning_effort: xhigh
message: |
You are a patent examiner reviewing a specification for completeness.
CLAIMS: [all claims]
SPECIFICATION: [all specification sections]
Check for:
1. Written description support: Does every claim element have explicit or inherent support?
2. Enablement: Can a POSITA practice the invention from this specification?
3. Consistency: Do reference numerals match across figures and specification?
4. Language quality: Any subjective terms, relative terms without definition, or result-to-be-achieved language?
5. Missing embodiments: Are there claim features that need additional embodiments?
6. Background deficiencies: Are they technical and specific enough?
```
### Step 11: Output
All specification sections are in `patent/specification/`.
Summary file: `patent/specification/SPECIFICATION_INDEX.md` with:
```markdown
## Patent Specification
### Sections
| Section | File | Word Count | Status |
|---------|------|-----------|--------|
| Title | title.md | | Complete |
| Technical Field | technical_field.md | | Complete |
| Background | background.md | | Complete |
| Summary | summary.md | | Complete |
| Drawings Description | drawings_description.md | | Complete |
| Detailed Description | detailed_description.md | | Complete |
| Abstract | abstract.md | | Complete |
### Claim Support Status
| Claim | Elements Supported | Elements Missing |
|-------|-------------------|-----------------|
| 1 | All | None |
| X | All | None |
```
## Key Rules
- The specification supports the claims, not the other way around. Every claim element must have support.
- Use consistent terminology -- same word for the same concept throughout.
- DO NOT include experimental results, accuracy metrics, or empirical evaluations.
- DO NOT use subjective language ("excellent", "surprising", "superior").
- Reference numerals must be consistent: same component, same numeral, everywhere.
- Background section describes specific deficiencies, not general "need for improvement."
- Multiple embodiments strengthen the specification but are not always required.
- Large file handling: if a Write operation fails, retry with Bash `cat <<'EOF'` heredoc.
- If reviewer delegation is unavailable in the current Codex host, stop and ask the user to enable Codex agent support before continuing.
More from wanshuiyin/Auto-claude-code-research-in-sleep
- ablation-plannerUse when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.
- alphaxivQuick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
- analyze-resultsAnalyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
- auto-paper-improvement-loopAutonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
- auto-review-loopAutonomous multi-round research review loop. Repeatedly reviews via external reviewer backend (Codex or manual), implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
- auto-review-loop-llmAutonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
- auto-review-loop-minimaxAutonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
- citation-auditZero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports. Uses a fresh cross-model reviewer with web/DBLP/arXiv lookup to catch hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations (cite present but the cited paper does not establish the claim). Use when user says \"审查引用\", \"check citations\", \"citation audit\", \"verify references\", \"引用核对\", or before submission to ensure bibliography integrity.
- claims-draftingDraft patent claims for an invention. Use when user says \"撰写权利要求\", \"draft claims\", \"写权利要求书\", \"claim drafting\", or wants to create patent claims. The core skill of the patent pipeline.
- comm-lit-review-claude-singleCommunications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary. Search Zotero, Obsidian, and local paper folders first when available, then search IEEE Xplore, ScienceDirect, ACM Digital Library, and broader web in that order.