peer-review
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
DEFAULT search tool for ALL search/lookup needs. Multi-source search and deduplication layer with intent-aware scoring. Integrates Brave Search (web_search), Exa, Tavily, and Grok to provide high-coverage, high-quality results. Automatically classifies query intent and adjusts search strategy, scoring weights, and result synthesis. Use for ANY query that requires web search — factual lookups, research, news, comparisons, resource finding, "what is X", status checks, etc. Do NOT use raw web_search directly; always route through this skill.
Discover Prisma SD-WAN sites, ION elements, machines, and network topology
CML packet capture — start, stop, download pcaps from CML lab links, integrate with Packet Buddy for analysis. Use when capturing packets in a CML lab, troubleshooting BGP or OSPF with packet analysis, or downloading pcap files for Wireshark review.
Manage GNS3 project snapshots - create, restore, delete for safe experimentation
Cisco CML lab lifecycle management — create, start, stop, wipe, delete, clone, import/export labs. Use when building a network lab, starting or stopping a CML lab, cloning a topology, or importing lab YAML files.
Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.
Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.
Control motorized camera docks and enable intelligent subject tracking using DockKit. Use when discovering DockKit-compatible accessories, implementing camera subject tracking for faces or bodies, controlling dock motors for pan and tilt, configuring framing behavior, setting regions of interest, or building video apps with automatic camera tracking.
Access research-grade sensor data using SensorKit. Use when reading ambient light levels, accelerometer data, rotation rates, device usage patterns, keyboard metrics, or media events for approved research studies. Requires SensorKit entitlement and research study authorization.
Guidelines for updating citation counts for papers in the section files using the `update_citation_counts.py` tool. USE FOR: Updating citation counts for papers listed in the section files to keep information current. DO NOT USE FOR: 1) Adding new papers to the section files; 2) Classifying entries into sections.
Download PDFs (when available) and extract plain text to support full-text evidence, writing `papers/fulltext_index.jsonl` and `papers/fulltext/*.txt`. **Trigger**: PDF download, fulltext, extract text, papers/pdfs, 全文抽取, 下载PDF. **Use when**: `queries.md` 设置 `evidence_mode: fulltext`(或你明确需要全文证据)并希望为 paper notes/claims 提供更强 evidence。 **Skip if**: `evidence_mode: abstract`(默认);或你不希望进行下载/抽取(成本/权限/时间)。 **Network**: fulltext 下载通常需要网络(除非你手工提供 PDF 缓存在 `papers/pdfs/`)。 **Guardrail**: 缓存下载到 `papers/pdfs/`;默认不覆盖已有抽取文本(除非显式要求重抽)。
Synthesize evidence into a structured narrative (`output/SYNTHESIS.md`) grounded in `papers/extraction_table.csv`, including limitations and bias considerations. **Trigger**: synthesis, evidence synthesis, systematic review writing, 综合写作, SYNTHESIS.md. **Use when**: systematic review 完成 screening+extraction(含 bias 评估)后进入写作阶段(C4)。 **Skip if**: 还没有 `papers/extraction_table.csv`(或 protocol/screening 尚未完成)。 **Network**: none. **Guardrail**: 以 extraction table 为证据底座;明确局限性与偏倚;不要在无数据支撑时扩写结论。
Raise citation diversity/density (NO NEW FACTS): generate an in-scope “citation budget” plan per H3 so drafts stop failing the global unique-citation gate and stop looking under-cited. **Trigger**: cite boost, citation budget, unique citations too low, add more citations, improve reference density, 引用太少, 增加引用, 引用密度. **Use when**: `pipeline-auditor` FAILs due to low unique citations, or you want to increase cite density without changing claims. **Skip if**: you need new papers (fix C1/C2 mapping first), or `citations/ref.bib` / `outline/writer_context_packs.jsonl` is missing. **Network**: none. **Guardrail**: NO NEW FACTS; do not invent citations; only use keys already present in `citations/ref.bib`; keep citations within each H3’s allowed scope (`outline/writer_context_packs.jsonl` / `outline/evidence_bindings.jsonl`).
Rewrite `outline/claim_evidence_matrix.md` as a projection/index of evidence packs (NO PROSE), so claims/axes are driven by `outline/evidence_drafts.jsonl` rather than outline placeholders. **Trigger**: claim matrix rewriter, rewrite claim-evidence matrix, evidence-first claim matrix, matrix index, 证据矩阵重写, 从证据包生成矩阵. **Use when**: `outline/subsection_briefs.jsonl` + `outline/evidence_drafts.jsonl` are ready and you want a clean claim→evidence index for QA/writing. **Skip if**: `outline/claim_evidence_matrix.md` is already refined and consistent with evidence packs. **Network**: none. **Guardrail**: NO PROSE; do not invent facts; only cite keys present in `citations/ref.bib`; if evidence is abstract/title-only, claims must be provisional.
Add bias/risk-of-bias assessment fields to an extraction table and populate them consistently. **Trigger**: bias, risk-of-bias, RoB, evidence quality, 偏倚评估, 证据质量. **Use when**: systematic review 已生成 `papers/extraction_table.csv`,需要在 synthesis 前补齐偏倚/质量字段。 **Skip if**: 不是 systematic review,或还没有 `papers/extraction_table.csv`。 **Network**: none. **Guardrail**: 使用简单可复核刻度(low/unclear/high)+ 简短 notes;保持字段一致性。
Create per-subsection evidence packs (NO PROSE): claim candidates, concrete comparisons, evaluation protocol, limitations, plus citation-backed evidence snippets with provenance. **Trigger**: evidence draft, evidence pack, claim candidates, concrete comparisons, evidence snippets, provenance, 证据草稿, 证据包, 可引用事实. **Use when**: `outline/subsection_briefs.jsonl` exists and you want evidence-first section drafting where every paragraph can be backed by traceable citations/snippets. **Skip if**: `outline/evidence_drafts.jsonl` already exists and is refined (no placeholders; >=4 grounded comparisons per subsection in survey mode; `blocking_missing` empty). **Network**: none (richer evidence improves with abstracts/fulltext). **Guardrail**: NO PROSE; do not invent facts; only use citation keys that exist in `citations/ref.bib`.
Generate and verify BibTeX entries from paper notes, writing `citations/ref.bib` and `citations/verified.jsonl`. **Trigger**: citation, BibTeX, ref.bib, verified.jsonl, references, 引用, 参考文献. **Use when**: 已有 `papers/paper_notes.jsonl`,需要为 prose/LaTeX 准备可追溯的引用(每条都有 url/date/title 验证记录)。 **Skip if**: 还没有 paper notes(或本次产出不需要引用/参考文献)。 **Network**: 自动验证通常需要网络;无网络时可先 record,再标注 needs manual verification。 **Guardrail**: 每个 BibTeX entry 必须对应一条 `citations/verified.jsonl` 记录;prose 只能使用已存在于 `citations/ref.bib` 的 citation keys。
Audit the evidence supporting each claim and write gaps/concerns into `output/MISSING_EVIDENCE.md`. **Trigger**: evidence audit, missing evidence, unsupported claims, 审稿证据审计, 证据缺口. **Use when**: peer review 流程中,需要逐条检查 claim 的证据链、缺 baseline、评测薄弱点。 **Skip if**: 缺少 claims 输入(例如还没有 `output/CLAIMS.md`)。 **Network**: none. **Guardrail**: 只写“缺口/风险/下一步验证”,不要替作者补写论述或引入新主张。
Manage title/abstract screening and record decisions into `papers/screening_log.csv` according to an approved protocol. **Trigger**: screening, title/abstract screening, inclusion/exclusion, screening_log.csv, 文献筛选, 纳入排除. **Use when**: systematic review 的 screening 阶段(C2),protocol 已锁定并通过 HUMAN 审批。 **Skip if**: 还没有 `output/PROTOCOL.md`(或 protocol 未通过签字)。 **Network**: none. **Guardrail**: 每条记录包含决策与理由;保持可审计(不要把“未读/不确定”当作纳入)。