Live Research
brightdata/skills
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content).
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement.
Install Survey Generation
$ npx skills add lingzhi227/agent-research-skills --skill survey-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lingzhi227/agent-research-skills survey-generation --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/lingzhi227/agent-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/survey-generation .claude/skills/survey-generation && 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 "survey-generation" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/survey-generation into .claude/skills/survey-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-generation", 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/lingzhi227/agent-research-skills/tree/main/skills/survey-generationType 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 lingzhi227/agent-research-skills --skill survey-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lingzhi227/agent-research-skills survey-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/survey-generation .agents/skills/survey-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "survey-generation" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/survey-generation into .agents/skills/survey-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-generation", 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 lingzhi227/agent-research-skills --skill survey-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lingzhi227/agent-research-skills survey-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/survey-generation .cursor/skills/survey-generation && 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 "survey-generation" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/survey-generation into .cursor/skills/survey-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-generation", 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/lingzhi227/agent-research-skills.git --path skills/survey-generation--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 lingzhi227/agent-research-skills --skill survey-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lingzhi227/agent-research-skills survey-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/survey-generation .gemini/skills/survey-generation && 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 "survey-generation" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/survey-generation into .gemini/skills/survey-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-generation", 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 lingzhi227/agent-research-skills survey-generationInstalls 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 lingzhi227/agent-research-skills --skill survey-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/survey-generation .github/skills/survey-generation && 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 "survey-generation" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/survey-generation into .github/skills/survey-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-generation", 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 lingzhi227/agent-research-skills --skill survey-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lingzhi227/agent-research-skills survey-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/survey-generation .opencode/skills/survey-generation && 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 "survey-generation" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/survey-generation into .opencode/skills/survey-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-generation", 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
survey-generation- GitHub stars
- 390
- Token cost
- ~741 tokens
- SKILL.md length
- 290 words
- Files
- 2 (incl. references)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- None found
At a glance
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement.
- Works in 6 steps: Collect Papers → Generate Outline (Multi-LLM Parallel) → Write Subsections (RAG-Based) → …
- Writing comprehensive literature surveys
- SKILL.md covers Input, Scripts, References and Workflow (from AutoSurvey), plus 3 more sections
- Calls python
What it does
Survey Generation is an agent skill from lingzhi227/agent-research-skills. Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/survey-prompts.md`).
It sits in Research & Science, covering Literature review, Citation management and Retrieval-augmented generation. The repository describes itself as: Skills for Claude Code — deep-research: systematic academic literature review.
When your agent uses it
- Writing comprehensive literature surveys
- Tasks that involve Literature review
- Tasks that involve Citation management
Example prompts
- “/survey-generation”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Collect Papers
- Generate Outline (Multi-LLM Parallel)
- Write Subsections (RAG-Based)
- Validate Citations
- Enhance Local Coherence
- Convert Citations to BibTeX
What it can do on your machine
Read from SKILL.md and the folder at commit 9e6c085. 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
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Survey Generation loads about 741 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 290 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 290 words (~741 tokens).
“Generate complete academic survey papers with structured outline, RAG-based writing, and citation validation.”
- name
- survey-generation
- argument-hint
- topic
Files
SKILL.md and 1 other file (references) in skills/survey-generation of lingzhi227/agent-research-skills.
- SKILL.md
- references/survey-prompts.md
Open the folder on GitHubat commit 9e6c085
Compare with similar skills
Survey Generation 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 |
|---|---|---|---|---|---|---|
| Survey Generation this skilllingzhi227/agent-research-skills | 390 | — | ~741 | Automated safety check: Pass | None | |
| Live Researchbrightdata/skills | 264 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Scholar RAGjoshzyj/open-scholar-skill | 168 | — | ~7.4k | Automated safety check: Notes | Custom licence | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT |
Similar skills
Scholar RAG
joshzyj/open-scholar-skill
Build and query a local vector database + GraphRAG over your entire reference library (Zotero or a PDF folder) for literature review.
Systematic Review Screener
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Preprint Search on bioRxiv
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
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Related
Categories
Questions about Survey Generation
What does Survey Generation do?
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Survey Generation is an agent skill from lingzhi227/agent-research-skills. Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement.
When should I use Survey Generation?
Survey Generation fits situations like: writing comprehensive literature surveys; tasks that involve Literature review; tasks that involve Citation management.
How do I install Survey Generation in Claude Code?
Run `npx skills add lingzhi227/agent-research-skills --skill survey-generation -a claude-code`. Or copy the skill folder (skills/survey-generation in lingzhi227/agent-research-skills) into .claude/skills/survey-generation in your project. Claude Code loads it when a task matches its description.
How do I install Survey Generation in Codex?
Run `npx skills add lingzhi227/agent-research-skills --skill survey-generation -a codex`. Or copy the skill folder (skills/survey-generation in lingzhi227/agent-research-skills) into .agents/skills/survey-generation in your project. Codex loads it when a task matches its description.
Can I use Survey Generation 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 lingzhi227/agent-research-skills --skill survey-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/survey-generation, .gemini/skills/survey-generation, .github/skills/survey-generation and .opencode/skills/survey-generation in your project.
What does Survey Generation need to run?
Going by SKILL.md and its folder, Survey Generation needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Survey Generation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Survey Generation 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 Survey Generation use?
No licence was found for Survey Generation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Survey Generation use?
About 741 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Survey Generation?
Skills that share tags, products or a category with Survey Generation: Live Research (brightdata/skills, 264 stars), Scholar RAG (joshzyj/open-scholar-skill, 168 stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Survey Generation?
lingzhi227 (a GitHub user) maintains it in lingzhi227/agent-research-skills, which has 390 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on February 27, 2026.
Source: lingzhi227/agent-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.