Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Visual literature mapping and connected papers exploration. An agent skill from wentorai/research-plugins.
Install Literature Mapping Guide
$ npx skills add wentorai/research-plugins --skill literature-mapping-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins literature-mapping-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature/discovery/literature-mapping-guide .claude/skills/literature-mapping-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "literature-mapping-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guide into .claude/skills/literature-mapping-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-mapping-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill literature-mapping-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins literature-mapping-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/literature/discovery/literature-mapping-guide .agents/skills/literature-mapping-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "literature-mapping-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guide into .agents/skills/literature-mapping-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-mapping-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill literature-mapping-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins literature-mapping-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/literature/discovery/literature-mapping-guide .cursor/skills/literature-mapping-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "literature-mapping-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guide into .cursor/skills/literature-mapping-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-mapping-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/literature/discovery/literature-mapping-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill literature-mapping-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins literature-mapping-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/literature/discovery/literature-mapping-guide .gemini/skills/literature-mapping-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "literature-mapping-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guide into .gemini/skills/literature-mapping-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-mapping-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins literature-mapping-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill literature-mapping-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/literature/discovery/literature-mapping-guide .github/skills/literature-mapping-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "literature-mapping-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guide into .github/skills/literature-mapping-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-mapping-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill literature-mapping-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins literature-mapping-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/literature/discovery/literature-mapping-guide .opencode/skills/literature-mapping-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "literature-mapping-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/discovery/literature-mapping-guide into .opencode/skills/literature-mapping-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-mapping-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
literature-mapping-guide- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~1.8k tokens
- SKILL.md length
- 574 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Visual literature mapping and connected papers exploration. An agent skill from wentorai/research-plugins.
- Works in 5 steps: Enter a seed paper URL or title → The tool builds a graph of the most… → Click any node to see its abstract and… → …
- Research & Science work in your project
- SKILL.md covers What Is Literature Mapping?, Tools for Visual Literature…, Building a Custom Literature… and Interpreting Literature Maps, plus 1 more section
- Reaches api.semanticscholar.org
What it does
Literature Mapping Guide is an agent skill from wentorai/research-plugins. Visual literature mapping and connected papers exploration
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Research & Science work in your project
Example prompts
- “/literature-mapping-guide”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Enter a seed paper URL or title
- The tool builds a graph of the most similar papers (regardless of direct citation links)
- Click any node to see its abstract and bibliographic details
- Use "Prior works" to find foundational papers and "Derivative works" for recent developments
- Export the graph or paper list as BibTeX
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.semanticscholar.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Literature Mapping Guide loads about 1.8k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 574 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 574 words, ~1,778 tokens.
Download SKILL.mdSave it as
.claude/skills/literature-mapping-guide/SKILL.md (or your agent's skills folder).- name
- literature-mapping-guide
- description
- Visual literature mapping and connected papers exploration
Literature Mapping Guide
Build visual maps of scholarly literature to understand research landscapes, identify clusters of related work, and discover hidden connections between papers.
What Is Literature Mapping?
Literature mapping transforms flat lists of papers into interactive visual networks where nodes represent papers and edges represent citation or similarity relationships. This approach helps researchers:
- See the overall structure of a research field at a glance
- Identify seminal papers (highly connected nodes)
- Discover clusters and subfields
- Find bridging papers that connect disparate areas
- Spot gaps where no papers exist
Tools for Visual Literature Mapping
Connected Papers
Connected Papers (connectedpapers.com) builds a similarity graph around a seed paper using co-citation and bibliographic coupling analysis.
| Feature | Details |
|---|---|
| Input | Paper title, DOI, or URL |
| Graph type | Similarity (not direct citation) |
| Node size | Citation count |
| Node color | Publication year (darker = older) |
| Max nodes | ~40 per graph |
| Cost | Free: 5 graphs/month; Premium: unlimited |
How to use:
- Enter a seed paper URL or title
- The tool builds a graph of the most similar papers (regardless of direct citation links)
- Click any node to see its abstract and bibliographic details
- Use "Prior works" to find foundational papers and "Derivative works" for recent developments
- Export the graph or paper list as BibTeX
Litmaps
Litmaps (litmaps.com) creates dynamic, multi-seed citation maps that update as new papers are published.
Workflow:
- Add one or more seed papers via DOI, title, or OpenAlex ID
- The tool builds a citation graph showing how the papers are connected
- Add "discover" nodes to expand the map with algorithmically suggested papers
- Create "collections" to organize maps by topic
- Set up alerts for new papers that connect to your existing map
VOSviewer
VOSviewer (vosviewer.com) is a free desktop tool for constructing and visualizing bibliometric networks at scale.
# VOSviewer supports several network types:
# - Co-authorship networks
# - Co-citation networks
# - Bibliographic coupling networks
# - Co-occurrence of keywords
# - Citation networks
# Input formats:
# - Web of Science export files
# - Scopus CSV exports
# - Dimensions export files
# - RIS files from reference managers
# - CrossRef API queries (built-in)Steps for VOSviewer analysis:
- Export search results from Web of Science or Scopus (include cited references)
- Open VOSviewer and select "Create a map based on bibliographic data"
- Choose analysis type (e.g., co-citation of cited references)
- Set thresholds (e.g., minimum 5 citations for a reference to appear)
- VOSviewer automatically clusters nodes and applies colors
- Explore clusters to understand subfield structure
Show full SKILL.md (210 more words)Show less
CiteSpace
CiteSpace (citespace.podia.com) specializes in detecting research fronts and intellectual turning points.
Key features:
- Burst detection: identifies keywords or references with sudden spikes in frequency
- Timeline visualization: shows how clusters evolve over time
- Betweenness centrality: highlights bridging papers between clusters
- Requires Java; works with Web of Science data exports
Building a Custom Literature Map with Python
import networkx as nx
import requests
from collections import defaultdict
def build_citation_graph(seed_ids, depth=1, max_per_level=20):
"""Build a directed citation graph from seed papers."""
G = nx.DiGraph()
visited = set()
queue = [(sid, 0) for sid in seed_ids]
while queue:
paper_id, level = queue.pop(0)
if paper_id in visited or level > depth:
continue
visited.add(paper_id)
# Get paper metadata
meta_resp = requests.get(
f"https://api.semanticscholar.org/graph/v1/paper/{paper_id}",
params={"fields": "title,year,citationCount"}
)
if meta_resp.status_code != 200:
continue
meta = meta_resp.json()
G.add_node(paper_id, title=meta.get("title", ""),
year=meta.get("year"), citations=meta.get("citationCount", 0))
# Get references (backward)
refs_resp = requests.get(
f"https://api.semanticscholar.org/graph/v1/paper/{paper_id}/references",
params={"fields": "title,year,citationCount", "limit": max_per_level}
)
if refs_resp.status_code == 200:
for ref in refs_resp.json().get("data", []):
cited = ref["citedPaper"]
if cited.get("paperId"):
G.add_node(cited["paperId"], title=cited.get("title", ""),
year=cited.get("year"), citations=cited.get("citationCount", 0))
G.add_edge(paper_id, cited["paperId"], relation="cites")
if level < depth:
queue.append((cited["paperId"], level + 1))
return G
# Build graph from 2 seed papers
seeds = ["DOI:10.1038/s41586-021-03819-2", "ARXIV:2005.14165"]
graph = build_citation_graph(seeds, depth=1, max_per_level=15)
print(f"Graph: {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges")
# Find most central papers
centrality = nx.betweenness_centrality(graph)
top_central = sorted(centrality.items(), key=lambda x: x[1], reverse=True)[:10]
for node_id, score in top_central:
title = graph.nodes[node_id].get("title", "Unknown")
print(f" Centrality={score:.3f}: {title}")Interpreting Literature Maps
| Visual Feature | Interpretation |
|---|---|
| Large cluster | Established subfield with many related papers |
| Small isolated cluster | Emerging or niche research area |
| Bridge node between clusters | Interdisciplinary or foundational paper |
| Dense interconnections | Mature area with extensive cross-referencing |
| Sparse area between clusters | Potential research gap or opportunity |
| Temporal gradient (old to new) | Evolution of ideas over time |
Best Practices
- Start with multiple seeds: Using 3-5 seed papers from different angles gives better coverage than a single seed.
- Combine tools: Use Connected Papers for quick exploration, VOSviewer for large-scale analysis, and custom scripts for specific analyses.
- Iterate: Literature mapping is not a one-shot process. Refine your seeds and parameters based on initial results.
- Export and annotate: Save your maps and annotate clusters with descriptive labels for use in literature review sections.
- Check boundaries: If your map only shows papers from one group or country, broaden your seeds to capture different perspectives.
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/literature/discovery/literature-mapping-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Literature Mapping Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Literature Mapping Guide this skillwentorai/research-plugins | 298 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
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Structured manuscript/grant review with checklist-based evaluation.
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Related
Categories
Questions about Literature Mapping Guide
What does Literature Mapping Guide do?
Visual literature mapping and connected papers exploration. An agent skill from wentorai/research-plugins. Literature Mapping Guide is an agent skill from wentorai/research-plugins.
When should I use Literature Mapping Guide?
Literature Mapping Guide fits situations like: research & Science work in your project.
How do I install Literature Mapping Guide in Claude Code?
Run `npx skills add wentorai/research-plugins --skill literature-mapping-guide -a claude-code`. Or copy the skill folder (skills/literature/discovery/literature-mapping-guide in wentorai/research-plugins) into .claude/skills/literature-mapping-guide in your project. Claude Code loads it when a task matches its description.
How do I install Literature Mapping Guide in Codex?
Run `npx skills add wentorai/research-plugins --skill literature-mapping-guide -a codex`. Or copy the skill folder (skills/literature/discovery/literature-mapping-guide in wentorai/research-plugins) into .agents/skills/literature-mapping-guide in your project. Codex loads it when a task matches its description.
Can I use Literature Mapping Guide in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill literature-mapping-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/literature-mapping-guide, .gemini/skills/literature-mapping-guide, .github/skills/literature-mapping-guide and .opencode/skills/literature-mapping-guide in your project.
What does Literature Mapping Guide need to run?
SKILL.md names no scripts, command-line tools or credentials: Literature Mapping Guide is instructions for the agent only. Our summary lists: Python 3.
Does Literature Mapping Guide access the network?
SKILL.md names 1 domain. In commands or code: api.semanticscholar.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Literature Mapping Guide safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Literature Mapping Guide use?
Literature Mapping Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Literature Mapping Guide use?
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Literature Mapping Guide?
Skills that share tags, products or a category with Literature Mapping Guide: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Literature Mapping Guide?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.