skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review/SKILL.md
Communications-domain literature review and related-work search with database-aware source control. 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, prior art, a survey, related work, or a landscape summary. Prioritize IEEE Xplore and ScienceDirect, prefer formal publications over preprints, and separate foundational work from recent progress.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research comm-lit-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run communications-focused paper search with tighter source policy than a generic literature review. Default to formal publications, prioritize IEEE Xplore and ScienceDirect, then ACM Digital Library, and output a review that is structured for research use rather than casual browsing.
Read references/source-policy.md before searching. Use references/domain-taxonomy.md to classify the topic, references/venue-tiering.md to rank venues, and references/output-template.md to format the final answer.
Decide whether the request is primarily about:
If the request is not clearly in communications systems research, fall back to a more general literature skill.
Apply these defaults unless the user overrides them:
IEEE Xplore, ScienceDirect, then ACM Digital Library, then broader webIf the user explicitly narrows scope, obey the narrower scope:
Use a layered search strategy. For communications topics, do not build the review from random blog posts or derivative summaries.
Search in this order by default:
ieeexplore.ieee.orgsciencedirect.comdl.acm.orgOnly move to the next database tier when one of these is true:
Within each database tier, search venue tiers in this order:
Follow the concrete tier lists in references/venue-tiering.md.
By default this venue tiering is a soft priority, not a hard whitelist.
only top venues, top journals only, top conferences only, or equivalent, switch to hard constraint mode and do not auto-expand beyond Tier A unless the user later relaxes the constraintUse preprints only when:
When a preprint is used, label it clearly as preprint.
For each relevant paper, capture:
Favor numbers, assumptions, and actual problem statements over generic summaries.
Group papers by technical axis, not by search order. Common groupings:
Explicitly separate:
Follow the templates in references/output-template.md.
The default output should include:
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.