一键导入
paper-review
Use for review-only requests for papers or books when the user did not explicitly ask for annotation. Handles the normal single-agent review flow.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use for review-only requests for papers or books when the user did not explicitly ask for annotation. Handles the normal single-agent review flow.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Single-agent paper review workflow.
Comprehensive guide and reference for the Antigravity Customization System. Use to explain how customizations work, their loading priority, discovery mechanisms, and to guide the creation of skills, rules, plugins, hooks, and MCP servers.
Provides a comprehensive guide, quick reference, and sitemap for Google Antigravity (AGY), including the Antigravity CLI (agy), Antigravity 2.0, Antigravity IDE, Python SDK, slash commands, keybindings, and customizations (skills, rules, MCP, sidecars). Activate this skill when the user asks questions about how to use, configure, or customize Antigravity, AGY, the agy CLI, the Antigravity IDE, or Antigravity 2.0.
Guidelines for interacting with GitHub and request permissions from the user when commands fail due to restrictions in the agent environment.
ALWAYS use this skill when the user asks to send, get, retrieve, find, share, add, or search for a paper. This skill manages the user's Zotero library with 10,000+ papers and can retrieve PDFs, create share links, add new papers, and search. Prefer this over getscipapers for any request involving sending/getting/finding papers.
Use when the user asks to send, get, retrieve, find, share, add, or search for a paper. This is the live OpenClaw Zotero workflow adapted for Codex and should take priority over external paper retrieval.
| name | paper-review |
| description | Use for review-only requests for papers or books when the user did not explicitly ask for annotation. Handles the normal single-agent review flow. |
| metadata | {"short-description":"Single-agent paper review workflow"} |
This skill is installed as an OpenCode-native SKILL.md. For runtime-backed
helpers, prefer the shared ai-agents-skills runtime root and the
AAS_RUNTIME_ROOT override instead of assuming a Codex-specific runtime
path.
Use this skill for the normal single-agent review flow.
Use this skill when the user asks for a review-only pass such as:
Do not use this skill when the user explicitly asks for both annotation and review.
In that case, use annotated-review instead.
If the user explicitly asks for multiple agents, a panel, or a multi-agent review,
use agent-group-discuss instead of this skill.
If the user did not already provide a source path, attached file, PDF, or source tree:
zoterocalibregetscipapers-requesterFor review tasks, do not go online before checking both local libraries.
When you have the document as a local PDF, office file, HTML export, or image-backed scan, prefer docling for structure-aware parsing before relying on ad hoc plain-text extraction.
Use Docling especially when the review depends on:
Before writing review prose, load writing-style-settings.md and record the
active style profile for the review artifact. If the paper is a mathematical,
TCS, graph-theoretic, Lean, or LaTeX manuscript, also load
math-manuscript-style.md. Final review artifacts should record
style_profile_ref, active_overlays, active_requirement_ids, and
style_applied; do not treat a bare style_applied: true assertion as
evidence that the style policy was loaded.
Zotero note storage is off by default for review-only requests.
Do not touch Zotero beyond lookup/retrieval unless the user explicitly asks.
references/common_issues.md and references/reporting_standards.md as internal checklists.source-research/references/specialist-subagents.md without turning the task into a multi-agent run unless the user asked for one.For each issue:
annotated-reviewagent-group-discussWhen this skill is involved, consider these workflow templates (install via
the workflow-templates artifact profile, or --with-deps to pull backing skills):
cross-agent-adversarial-review -- Producer-never-confirmer adversarial review of a paper, proof, or code artifact across agent families with a fresh-agent confirmation gate.