Research Depth Control
BingHanOfUESTC/open_agent_team
A skill your agent uses when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from…
Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary…
$ npx skills add EvoScientist/EvoSkills --skill research-survey -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install EvoScientist/EvoSkills research-survey --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/EvoScientist/EvoSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-survey .claude/skills/research-survey && 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 "research-survey" agent skill from https://github.com/EvoScientist/EvoSkills/tree/main/skills/research-survey into .claude/skills/research-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-survey", 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/EvoScientist/EvoSkills/tree/main/skills/research-surveyType 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 EvoScientist/EvoSkills --skill research-survey -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install EvoScientist/EvoSkills research-survey --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EvoScientist/EvoSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-survey .agents/skills/research-survey && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-survey" agent skill from https://github.com/EvoScientist/EvoSkills/tree/main/skills/research-survey into .agents/skills/research-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-survey", 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 EvoScientist/EvoSkills --skill research-survey -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install EvoScientist/EvoSkills research-survey --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EvoScientist/EvoSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-survey .cursor/skills/research-survey && 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 "research-survey" agent skill from https://github.com/EvoScientist/EvoSkills/tree/main/skills/research-survey into .cursor/skills/research-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-survey", 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/EvoScientist/EvoSkills.git --path skills/research-survey--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 EvoScientist/EvoSkills --skill research-survey -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install EvoScientist/EvoSkills research-survey --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EvoScientist/EvoSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-survey .gemini/skills/research-survey && 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 "research-survey" agent skill from https://github.com/EvoScientist/EvoSkills/tree/main/skills/research-survey into .gemini/skills/research-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-survey", 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 EvoScientist/EvoSkills research-surveyInstalls 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 EvoScientist/EvoSkills --skill research-survey -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/EvoScientist/EvoSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-survey .github/skills/research-survey && 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 "research-survey" agent skill from https://github.com/EvoScientist/EvoSkills/tree/main/skills/research-survey into .github/skills/research-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-survey", 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 EvoScientist/EvoSkills --skill research-survey -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install EvoScientist/EvoSkills research-survey --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EvoScientist/EvoSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-survey .opencode/skills/research-survey && 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 "research-survey" agent skill from https://github.com/EvoScientist/EvoSkills/tree/main/skills/research-survey into .opencode/skills/research-survey/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-survey", 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.
research-surveyGenerates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary…
Research Survey is an agent skill from EvoScientist/EvoSkills. Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary section refinement → final assembly. Produces survey-grade output with taxonomy-based method analysis, LaTeX formalizations, comparative tables, and dense citations. Use when: user wants a literature review, research survey, field overview, or systematic synthesis of multiple papers. Do NOT use for finding/searching…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files and assets (for example `assets/survey-template.md`, `references/section-quality-checklist.md` and `references/survey-methodology.md`).
It sits in Research & Science, covering Literature review, Brainstorming and Scientific writing. It works with LaTeX. The repository describes itself as: 🧬 Extend EvoScientist with Installable Skill & Knowledge Packs. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9a9f8cf. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
write_fileedit_fileread_filethink_toolFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Research Survey loads about 2.5k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 168 tokens; SKILL.md has 1,048 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.
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.
The full file from EvoScientist/EvoSkills at commit 9a9f8cf, republished under its Apache-2.0 licence (© EvoScientist). 1,048 words, ~2,543 tokens.
.claude/skills/research-survey/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Generates high-quality, survey-grade literature reviews from papers collected by paper-navigator.
paper-navigator (collect 30-120 papers)
↓
Stage 1: Generate Outline (query-type adaptive structure)
↓
Stage 2: Draft Survey (outline + top-30 papers)
↓
Stage 3: Expand Sections (draft + all papers, section-by-section)
↓
Stage 4: Generate Section Summaries
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Stage 5: Refine Summary Sections (Abstract/Intro/Conclusion)
↓
Stage 6: Assemble + Referencespaper-navigator first, then come hereresearch-ideationpaper-writingThis skill requires papers as input. If the user hasn't provided papers, first invoke paper-navigator (Workflow 1, target 30-120 papers) to collect them.
CRITICAL: All paper discovery MUST use the paper-navigator skill and its scripts (scholar_search, citation_traverse, arxiv_monitor, recommend, etc.). Using WebSearch, WebFetch, or any generic web search tool for finding papers is PROHIBITED. Generic web search cannot access Semantic Scholar, citation graphs, or academic recommendation systems. Only paper-navigator provides the academic search infrastructure needed for survey-quality literature collection.
This is a two-phase process. Different fields have different survey conventions — a clinical systematic review looks nothing like a CS methods survey. First generate a domain-appropriate template, then create the detailed outline.
Before outlining, identify the field and adapt the structure:
assets/survey-template.md (e.g., medicine organizes by intervention type and follows PRISMA; chemistry organizes by reaction class; social sciences organize by theoretical perspective)With the domain-specific template as the framework, generate the outline:
| Type | Example | Structure |
|---|---|---|
| A: Single-topic deep dive | "Catalyst design for electrochemical CO2 reduction" | Intro → Problem Definition → Methods (by mechanism/approach) → Evaluation → Challenges → Conclusion |
| B: Multi-topic parallel | "Drug resistance mechanisms and therapeutic strategies in cancer immunotherapy" | Intro → Topic 1 (definition + methods) → Topic 2 (definition + methods) → Evaluation → Challenges → Conclusion |
| C: Pipeline/stage-based | "From sample preparation to data analysis in single-cell RNA sequencing" | Chapters organized by workflow stages |
The outline is NOT a simple heading list — it's a blueprint with meta-instructions for each section. For each ## Section:
[Instruction: ...] specifying what the section must containSee references/survey-methodology.md for full outline generation rules and assets/survey-template.md for field-specific conventions.
Generate a complete draft from the outline using the top-30 most relevant papers.
$$...$$)Expand each non-summary section using all collected papers (30-120). This is where survey-grade depth is achieved.
| Section Type | Target Length | Focus |
|---|---|---|
| Methods | 6000+ words per paradigm chapter | Technical narratives, mechanism analysis, comparison tables |
| Evaluation | 3500+ words | Benchmark taxonomy, metric analysis, SOTA summary |
| Challenges | 3000+ words | Problem definition + evidence + opportunity per challenge |
| Applications | 3000+ words | Real-world use cases with specific achievements |
| Problem Definition | 2000+ words | LaTeX formalization, constraints, assumptions |
| Other | 2500+ words | Default |
After all content sections are expanded, generate a condensed summary for each major section:
These section summaries become the shared context for the final abstract, introduction, and conclusion.
After all content sections are expanded, refine the summary sections (Abstract, Introduction, Conclusion):
Abstract (300-500 words):
Introduction:
Conclusion:
Assemble sections in outline order, then append formatted references:
**1. Title** (Year). _Authors_. *Venue*. Citations: N. [[Link]](url)Save to /artifacts/survey-{topic}-{date}.md.
Build taxonomy, don't enumerate: Cluster papers by technical mechanism, not chronology. This is the defining characteristic of a survey vs. a summary.
Critical insight over description: For EVERY method, analyze WHY it works, WHAT trade-off it makes, WHERE it fails. This separates survey-grade writing from shallow summaries.
Goal-centric filtering: Every piece of information must answer "How does this help achieve the research goal?" Discard information that doesn't serve the goal, even if it's interesting.
Strict terminology fidelity: Use the user's exact technical terms. Do NOT drift to related but different concepts.
Dense citations: Ground ALL claims with numbered citations [X]. Nearly every sentence should reference at least one paper.
Zero vagueness: Replace generic statements with specific method names, dataset names, metric values, and problem descriptions.
Visual structure: Use Markdown tables extensively — paradigm comparison, intra-paradigm method comparison, benchmark tables, metric tables.
| Resource | Location | Purpose |
|---|---|---|
| Multi-stage pipeline details | references/survey-methodology.md | Full methodology: outline rules, section standards, expansion targets |
| Section quality checklist | references/section-quality-checklist.md | Per-section verification checklist before finalizing |
| Survey output template | assets/survey-template.md | English Markdown template with section structure, table formats, and placeholder guidance |
| From → To | When |
|---|---|
paper-navigator → here | Papers collected, user wants synthesis |
Here → research-ideation | Survey reveals research gaps worth pursuing |
Here → paper-writing | Survey informs Related Work section of a paper |
Here → paper-planning | Survey provides literature context for story design |
© EvoScientist, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references, assets) in skills/research-survey of EvoScientist/EvoSkills.
Open the folder on GitHubat commit 9a9f8cf
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in EvoScientist/EvoSkills, which our catalogue first saw on October 7, 2026.
Research Survey 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 |
|---|---|---|---|---|---|---|
| Research Survey this skillEvoScientist/EvoSkills | 478 | 3 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Research Depth ControlBingHanOfUESTC/open_agent_team | 106 | — | ~989 | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Paper SkillcLin-c/paper-skill | 119 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Paper NavigatorAI4Scientist/nano-scientist | 128 | — | ~7.7k | Automated safety check: Notes | None | |
| Research Paper WritingAlexAI-MCP/hermes-CCC | 135 | — | ~1.2k | Automated safety check: Notes | MIT |
BingHanOfUESTC/open_agent_team
A skill your agent uses when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from…
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.
cLin-c/paper-skill
End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX…
AI4Scientist/nano-scientist
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…
AlexAI-MCP/hermes-CCC
Academic paper writing workflow — literature review, LaTeX setup, structure, citations, and conference submissions.
brycewang-stanford/Auto-Empirical-Research-Skills
Academic paper writing skill with 12-agent pipeline. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
EvoScientist/EvoSkills
A skill your agent uses whenever the user submits a non-trivial mathematical claim that needs a rigorous proof or audit.
EvoScientist/EvoSkills
A skill your agent uses to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames).
EvoScientist/EvoSkills
Iterative code refinement through plan → code → evaluate → refine cycles.
EvoScientist/EvoSkills
Guides pre-writing planning for academic papers with 4 structured steps: story design (task-challenge-insight-contribution-advantage), experiment planning (comparisons + ablations), figure design…
EvoScientist/EvoSkills
Find and read academic papers (S2 + arXiv). An agent skill from EvoScientist/EvoSkills.
EvoScientist/EvoSkills
A skill your agent uses for creating or refining an academic slide deck and the talk built around it: structuring a conference talk, thesis defense, lab meeting, or paper-to-slides deck; deciding…
Works with
Categories
Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary…. Research Survey is an agent skill from EvoScientist/EvoSkills. Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary section refinement → final assembly.
Research Survey fits situations like: : user wants a literature review; research survey; systematic synthesis of multiple papers; finding/searching papers (use paper-navigator).
Run `npx skills add EvoScientist/EvoSkills --skill research-survey -a claude-code`. Or copy the skill folder (skills/research-survey in EvoScientist/EvoSkills) into .claude/skills/research-survey in your project. Claude Code loads it when a task matches its description.
Run `npx skills add EvoScientist/EvoSkills --skill research-survey -a codex`. Or copy the skill folder (skills/research-survey in EvoScientist/EvoSkills) into .agents/skills/research-survey in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add EvoScientist/EvoSkills --skill research-survey -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-survey, .gemini/skills/research-survey, .github/skills/research-survey and .opencode/skills/research-survey in your project.
SKILL.md names no scripts, command-line tools or credentials: Research Survey is instructions for the agent only. Its frontmatter pre-approves these tools: write_file, edit_file, read_file, think_tool.
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.
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.
Research Survey is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k 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 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Research Survey: Research Depth Control (BingHanOfUESTC/open_agent_team, 106 stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Paper Skill (cLin-c/paper-skill, 119 stars) and Paper Navigator (AI4Scientist/nano-scientist, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
EvoScientist (a GitHub organization) maintains it in EvoScientist/EvoSkills, which has 478 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 30, 2026.
Source: EvoScientist/EvoSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.