Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Write the patent specification based on: $ARGUMENTS
Adapted from /paper-write for patent specifications. The specification supports the claims -- it is not a paper.
REVIEWER_MODEL = gpt-6-astra — External reviewer for specification qualityJURISDICTION = "auto" — Inherit from pipeline or detect from args; CN, US, EP, ALLOUTPUT_FORMAT = "markdown" — Markdown drafts; converted to filing format by /jurisdiction-formatOUTPUT_DIR = "patent/" — Base output directoryLANGUAGE = "auto" — Auto from jurisdiction: CN->Chinese, US/EP->Englishpatent/CLAIMS.md — the drafted claims (primary source)patent/INVENTION_DISCLOSURE.md — invention decompositionpatent/PRIOR_ART_REPORT.md — for background sectionLoad ../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.
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
1-2 paragraphs identifying the technical domain:
This is NOT a literature review. It directly sets up the problem.
Structure:
CN format: "背景技术" section describing existing technology and its shortcomings.
Three parts, directly mirroring INVENTION_DISCLOSURE.md:
Technical Problem (要解决的技术问题):
Technical Solution (技术方案):
Advantages (有益效果):
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:
Invoke /embodiment-description as a sub-skill:
/embodiment-description "patent/CLAIMS.md"
This section must:
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:
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.
Call REVIEWER_MODEL via mcp__codex__codex with xhigh reasoning:
mcp__codex__codex:
model: gpt-6-astra
config: {"model_reasoning_effort": "xhigh"}
prompt: |
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?
All specification sections are in patent/specification/.
Summary file: patent/specification/SPECIFICATION_INDEX.md with:
## 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 |
cat <<'EOF' heredoc.mcp__codex__codex is not available, skip cross-model review and note it in the output.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
日本語の概要は準備中です。原文の説明を表示しています。
Use when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
日本語の概要は準備中です。原文の説明を表示しています。
Quick 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.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
日本語の概要は準備中です。原文の説明を表示しています。
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
日本語の概要は準備中です。原文の説明を表示しています。
Autonomously improve a generated paper via GPT-6-Astra 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.
日本語の概要は準備中です。原文の説明を表示しています。