Comm Lit Review logo

Comm Lit Review

CommunityPopular
wanshuiyin
comm-lit-review

Communications-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.

Overview

Publisherwanshuiyin
RepositoryAuto-claude-code-research-in-sleep
Skill namecomm-lit-review
Stars
16.3K
Forks
1.4K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wanshuiyin on GitHub. Read the source before you install it.

Installation

Install the Comm Lit Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep
mkdir -p .claude/skills
cp -r /tmp/Auto-claude-code-research-in-sleep/skills/comm-lit-review .claude/skills/comm-lit-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comm Lit Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Comm Lit Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Comm Lit Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Comm Lit Review Claude Single

Research topic: $ARGUMENTS

Purpose

Use this skill for communications-domain literature review when the topic is about:

  • wireless communications
  • cellular systems, 4G/5G/6G, NR, NTN
  • satellite, LEO, GEO, integrated space-air-ground systems
  • Wi-Fi, WLAN, mesh, ad hoc, sidelink, V2X
  • routing, scheduling, resource allocation, beamforming
  • rate adaptation, link adaptation, ACM, HARQ, CSI feedback
  • transport protocols and congestion control in communication networks
  • cross-layer optimization for communication systems

If the center of gravity is generic ML architecture research, pure control theory without communications literature, or software/API documentation rather than papers, fall back to a general literature skill.

Constants

  • PAPER_LIBRARY: Check local PDFs in this order:
    1. papers/ in the current project
    2. literature/ in the current project
    3. Custom path specified by the user in CLAUDE.md under ## Paper Library
  • MAX_LOCAL_PAPERS = 20: Maximum number of local PDFs to scan. If there are more, prioritize by filename and first-page relevance.

Source Selection

Parse $ARGUMENTS for a — sources: directive.

  • If — sources: is specified, only search the listed sources.
  • If not specified, default to:
    • zotero
    • obsidian
    • local
    • ieee
    • sciencedirect
    • acm
    • web

Valid source values:

  • zotero
  • obsidian
  • local
  • ieee
  • sciencedirect
  • acm
  • web
  • all

If all is specified, interpret it as the full default source set.

Retrieval Order

This is a knowledge-base-first skill. Search in this order unless the user overrides it:

  1. Zotero
  2. Obsidian
  3. local papers/ and literature/
  4. IEEE Xplore
  5. ScienceDirect
  6. ACM Digital Library
  7. broader web

Graceful degradation rules:

  • If a source is unavailable, do not fail.
  • Skip it silently.
  • Continue to the next source.

External Search Policy

For external search:

  • prefer IEEE Xplore first
  • then ScienceDirect
  • then ACM
  • then broader web only when needed

Publication policy:

  • prefer peer-reviewed journals and major conferences
  • label workshop papers as workshop
  • label arXiv-only or author-hosted versions as preprint
  • if both preprint and formal version exist, cite the formal version first

Time-window policy:

  • if the user does not specify a year range, include both a short foundational set and a recent set
  • recommended split:
    • foundational: before 2022
    • recent: 2022 to present

Venue Priority

Within each database tier, search venue tiers in this order.

Tier A

Journals:

  • IEEE Journal on Selected Areas in Communications (JSAC)
  • IEEE/ACM Transactions on Networking (ToN)
  • IEEE Transactions on Wireless Communications (TWC)
  • IEEE Transactions on Communications (TCOM)

Conferences:

  • ACM SIGCOMM
  • USENIX NSDI
  • ACM MobiCom
  • ACM CoNEXT
  • IEEE INFOCOM

Tier B

Journals:

  • IEEE Transactions on Vehicular Technology (TVT)
  • IEEE Wireless Communications Letters (WCL)
  • IEEE Communications Letters
  • Computer Networks
  • Computer Communications
  • Ad Hoc Networks
  • Physical Communication

Conferences:

  • IEEE ICC
  • IEEE GLOBECOM
  • IEEE WCNC
  • IEEE PIMRC
  • ACM MobiHoc

Tier C

  • other relevant IEEE journals and transactions
  • other relevant Elsevier journals
  • other clearly relevant ACM conferences and workshops
  • topic-specific satellite, optical, vehicular, IoT, aerial, or edge communications venues

Usage rules:

  • start from Tier A
  • widen to Tier B if needed
  • widen to Tier C if still sparse
  • only then broaden to full web search
  • by default this is a soft priority, not a hard whitelist
  • if the user says only top venues, top journals only, or top conferences only, treat Tier A as a hard filter

Workflow

Step 0a: Search Zotero Library

Skip this step if Zotero MCP is not configured or zotero is not enabled.

If available:

  1. search by topic
  2. capture title, authors, year, venue
  3. pull user annotations, tags, or collections when present
  4. treat these as high-priority evidence because they reflect the user's existing library

Step 0b: Search Obsidian Vault

Skip this step if Obsidian MCP is not configured or obsidian is not enabled.

If available:

  1. search topic-related notes
  2. collect summaries, wikilinks, tags, and paper references
  3. treat these notes as the user's processed understanding of the topic

Step 0c: Scan Local Paper Library

Run this step if local is enabled.

  1. locate PDFs from papers/**/*.pdf and literature/**/*.pdf
  2. de-duplicate against Zotero hits when possible
  3. read the first pages of relevant PDFs
  4. extract title, authors, year, problem, method, and relevance
  5. use local hits to guide and de-duplicate later external search

Step 1: Search External Primary Sources

Use a layered search strategy. For communications topics, avoid random blog posts or tertiary summaries.

Database ladder:

  1. ieeexplore.ieee.org
  2. sciencedirect.com
  3. dl.acm.org
  4. broader web using primary publisher pages, official conference sites, DOI pages, and author-hosted copies of already-identified formal papers

Move to the next database tier only when:

  • the higher-priority tier is too sparse
  • the topic clearly publishes elsewhere
  • the user explicitly asks for broader coverage

Within each database tier:

  1. start from Tier A venues
  2. widen to Tier B if needed
  3. widen to Tier C if still sparse

Step 2: Extract Paper-Level Facts

For each relevant paper, capture:

  • Title
  • Authors
  • Year
  • Venue
  • Layer or system scope
  • Scenario and assumptions
  • Core method
  • Main result or claim
  • Limitation
  • Relevance to the user's topic
  • Source URL
  • Source origin: zotero, obsidian, local, ieee, sciencedirect, acm, or web

Favor concrete numbers, assumptions, and problem definitions over generic paraphrases.

Do not collapse transport-layer rate control and PHY/MAC rate adaptation into one bucket without saying so explicitly.

Synthesis Rules

Group papers by technical axis rather than by search order. Common groupings:

  • PHY/MAC adaptation
  • transport and congestion control
  • NTN and satellite resource management
  • cross-layer or learning-based control
  • measurement and empirical studies

When useful, explicitly separate:

  • foundational vs recent work
  • formal publications vs preprints
  • top-tier vs lower-tier venues
  • single-link vs multi-user formulations
  • simulation-only vs deployment-backed work
  • user-owned sources vs newly surfaced external papers

If evidence is weak, say so instead of smoothing it over.

Output

Use a literature table with these columns:

PaperVenueYearLayerScenarioMethodKey ResultLimitationRelevanceSource

Source should indicate where the paper came from first:

  • zotero
  • obsidian
  • local
  • ieee
  • sciencedirect
  • acm
  • web

After the table, summarize in this order:

  1. what the field is mostly trying to solve
  2. how papers cluster into 2-4 approaches
  3. what the user already had vs what was newly surfaced
  4. where the evidence is strong vs weak
  5. what research gap remains

End with Practical Takeaway:

  • dominant current approach
  • likely saturated direction
  • promising open direction

Key Rules

  • Never fail because Zotero or Obsidian MCP is missing.
  • Prefer user-owned sources first when available, but do not let them replace external validation.
  • Prefer primary formal sources over summaries or tertiary commentary.
  • Prefer IEEE and ScienceDirect first, ACM second, and only then broader web search unless the user asks otherwise.
  • Search venue tiers from top to broad within each database tier.
  • Treat venue tiers as soft ranking by default and hard constraint only when the user explicitly asks for top-only search.
  • Do not pretend a preprint is peer reviewed.
  • If the topic spans multiple layers, say that the literature itself is split across layers.

Frequently asked questions

What does the Comm Lit Review AI skill do?

Communications-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.

Why use Comm Lit Review on TypingMind?

Because you install it once and use it with any model. Comm Lit Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Comm Lit Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/comm-lit-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Comm Lit Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Comm Lit Review?

As many as you like. As long as a model supports skills, you can use Comm Lit Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Comm Lit Review AI skill free?

Yes. It is published on GitHub by wanshuiyin under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇