dr-claw
Dr. Claw skill for OpenClaw project discovery, idea intake, waiting-session triage, structured session control, event-driven notifications, and mobile…
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,
$ npx -y skills add OpenLAIR/dr-claw --skill aris-comm-lit-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/aris-comm-lit-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
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,
name: aris-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. Search Zotero, Obsidian, and local paper folders first when available, then search IEEE Xplore, ScienceDirect, ACM Digital Library, and broader web in that order. allowed-tools: Bash(*), Read, Glob, Grep, WebSearch, WebFetch, Write, Agent, mcp__zotero__*, mcp__obsidian-vault__* license: MIT metadata: author: wanshuiyin/ARIS version: "1.0.0"
Research topic: $ARGUMENTS
Use this skill for communications-domain literature review when the topic is about:
If the center of gravity is generic ML architecture research, pure control theory without communications literature, or software/API documentation rather than papers, fall back to a general literature skill.
1. `papers/` in the current project 2. `literature/` in the current project 3. Custom path specified by the user in `CLAUDE.md` under `## Paper Library`
Parse `$ARGUMENTS` for a `— sources:` directive.
Valid source values:
If `all` is specified, interpret it as the full default source set.
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:
For external search:
Publication policy:
Time-window policy:
Within each database tier, search venue tiers in this order.
Journals:
Conferences:
Journals:
Conferences:
Usage rules:
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
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
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
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 pa
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
Repo: OpenLAIR/dr-claw
Dr. Claw skill for OpenClaw project discovery, idea intake, waiting-session triage, structured session control, event-driven notifications, and mobile…
Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews,…
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or…
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you…
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct…
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices,…