Creator · wanshuiyin
Last updated · Sep 2, 2026
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, chann
Sandbox only
Install targets
Codex install prompt
Install the "comm-lit-review" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/comm-lit-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wanshuiyin-comm-lit-review","task":"Install comm-lit-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill comm-lit-review
Maintenance
fresh
13d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
16K
89/100 Quality · 82/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
16K GitHub stars
Repo activity
16K stars, 1.4K forks
Maintenance
13d since push
License
MIT
Install
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill comm-lit-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill comm-lit-reviewDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20comm-lit-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20comm-lit-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/wanshuiyin-comm-lit-review/install
Agent should check
Copy prompt
Task: Use comm-lit-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20comm-lit-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/wanshuiyin-comm-lit-review/install
Install command: npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill comm-lit-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/wanshuiyin-comm-lit-review/install
LLM text format
/api/skills/wanshuiyin-comm-lit-review/install?format=text
Find alternatives
/api/skills/search?q=comm-lit-review&limit=3
Agent prompt
Use comm-lit-review for this task. Review https://www.openagentskill.com/api/skills/wanshuiyin-comm-lit-review/install, then install with: npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill comm-lit-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/wanshuiyin-comm-lit-review
LLM text
/api/registry/manifest/wanshuiyin-comm-lit-review?format=text
Install alias
/api/registry/install/wanshuiyin-comm-lit-review
Recommend
/api/registry/recommend?task=Use%20comm-lit-review%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS16K GitHub stars
Stars/forks activity
PASS16K stars, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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--- name: comm-lit-review description: "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." allowed-tools: Bash(*), Read, Glob, Grep, WebSearch, WebFetch, Write, mcp__zotero__*, mcp__obsidian-vault__* ---
# 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:
| Paper | Venue | Year | Layer | Scenario | Method | Key Result | Limitation | Relevance | Source | |---|---|---:|---|---|---|---|---|---|---|
`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.
Source provenance
Decision snapshot
15,641 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for comm-lit-review, ready for a manual X post.
comm-lit-review: Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use... 15.6K stars https://www.openagentskill.com/skills/wanshuiyin-comm-lit-review?ref=x
Listing + install path for comm-lit-review: https://www.openagentskill.com/skills/wanshuiyin-comm-lit-review?ref=x Install: npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill comm-lit-review
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Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness