Lit Search
luwill/research-skills
Runs an exhaustive time-windowed literature search over a research topic and delivers a quality-tiered DOI list plus a matching formatted reference list, with measurable recall (gold-set recall…
Structured methodology for comprehensive literature review following PRISMA guidelines.
$ npx skills add aiming-lab/AutoResearchClaw --skill systematic-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/AutoResearchClaw systematic-review --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/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .claude/skills/systematic-review && 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 "systematic-review" agent skill from https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-review into .claude/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", 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/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-reviewType 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 aiming-lab/AutoResearchClaw --skill systematic-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/AutoResearchClaw systematic-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .agents/skills/systematic-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "systematic-review" agent skill from https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-review into .agents/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", 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 aiming-lab/AutoResearchClaw --skill systematic-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/AutoResearchClaw systematic-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .cursor/skills/systematic-review && 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 "systematic-review" agent skill from https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-review into .cursor/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", 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/aiming-lab/AutoResearchClaw.git --path researchclaw/skills/builtin/experiment/systematic-review--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 aiming-lab/AutoResearchClaw --skill systematic-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/AutoResearchClaw systematic-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .gemini/skills/systematic-review && 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 "systematic-review" agent skill from https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-review into .gemini/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", 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 aiming-lab/AutoResearchClaw systematic-reviewInstalls 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 aiming-lab/AutoResearchClaw --skill systematic-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .github/skills/systematic-review && 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 "systematic-review" agent skill from https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-review into .github/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", 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 aiming-lab/AutoResearchClaw --skill systematic-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiming-lab/AutoResearchClaw systematic-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .opencode/skills/systematic-review && 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 "systematic-review" agent skill from https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/systematic-review into .opencode/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", 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.
systematic-reviewStructured methodology for comprehensive literature review following PRISMA guidelines.
Systematic Review is an agent skill from aiming-lab/AutoResearchClaw. Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.
Its SKILL.md is about 250 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, covering Literature review. It works with Prisma. The repository describes itself as: Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit be4ba47. It shows what the files ask for, not the result of running them.
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.
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.
Systematic Review loads about 246 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 73 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 aiming-lab/AutoResearchClaw at commit be4ba47, republished under its MIT licence (© aiming-lab). 73 words, ~246 tokens.
.claude/skills/systematic-review/SKILL.md (or your agent's skills folder).Follow PRISMA-like methodology for literature search:
© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in researchclaw/skills/builtin/experiment/systematic-review of aiming-lab/AutoResearchClaw.
Open the folder on GitHubat commit be4ba47
Systematic Review 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 |
|---|---|---|---|---|---|---|
| Systematic Review this skillaiming-lab/AutoResearchClaw | 15k | — | ~246 | Automated safety check: Pass | MIT | |
| Lit Searchluwill/research-skills | 860 | — | ~3.7k | Automated safety check: Notes | MIT | |
| Ma Search Bibliographyhtlin222/meta-pipe | 139 | — | ~2.1k | Automated safety check: Notes | Custom licence | |
| Meta AnalysisAperivue/medsci-skills | 333 | — | ~8.7k | Automated safety check: Pass | MIT | |
| Literature Review Toolsbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Review PaperAperivue/medsci-skills | 333 | — | ~1.3k | Automated safety check: Pass | MIT |
luwill/research-skills
Runs an exhaustive time-windowed literature search over a research topic and delivers a quality-tiered DOI list plus a matching formatted reference list, with measurable recall (gold-set recall…
htlin222/meta-pipe
Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes.
Aperivue/medsci-skills
A skill your agent uses when running a systematic review and meta-analysis, DTA or intervention.
brycewang-stanford/Auto-Empirical-Research-Skills
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening…
Aperivue/medsci-skills
A skill your agent uses when writing a literature review article (narrative, scoping PRISMA-ScR or systematic).
brycewang-stanford/Auto-Empirical-Research-Skills
Universal deep research agent team. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
aiming-lab/AutoResearchClaw
Diagnoses where an agent failed across runs and turns the findings into new skills, system prompt patches and knowledge entries, using the A-Evolve loop.
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
aiming-lab/AutoResearchClaw
Reference patterns for writing qiskit 2.x code for variational quantum machine learning: feature maps, VQC training, VQE for chemistry, MPS circuits and noise models.
aiming-lab/AutoResearchClaw
Builds or loads a genome-scale metabolic model in COBRApy, sets its growth medium and objective, and exports it as a validated JSON file for flux analysis.
aiming-lab/AutoResearchClaw
Quick reference for Biopython work: sequence operations, SeqIO file parsing, BLAST searches, Entrez queries, phylogenetic trees and PDB structure analysis.
Works with
Categories
Structured methodology for comprehensive literature review following PRISMA guidelines. Systematic Review is an agent skill from aiming-lab/AutoResearchClaw. Structured methodology for comprehensive literature review following PRISMA guidelines.
Systematic Review fits situations like: tasks that involve Literature review.
Run `npx skills add aiming-lab/AutoResearchClaw --skill systematic-review -a claude-code`. Or copy the skill folder (researchclaw/skills/builtin/experiment/systematic-review in aiming-lab/AutoResearchClaw) into .claude/skills/systematic-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aiming-lab/AutoResearchClaw --skill systematic-review -a codex`. Or copy the skill folder (researchclaw/skills/builtin/experiment/systematic-review in aiming-lab/AutoResearchClaw) into .agents/skills/systematic-review 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 aiming-lab/AutoResearchClaw --skill systematic-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/systematic-review, .gemini/skills/systematic-review, .github/skills/systematic-review and .opencode/skills/systematic-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Systematic Review is instructions for the agent only.
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.
Systematic Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 246 tokens (SKILL.md is roughly 984 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Systematic Review: Lit Search (luwill/research-skills, 860 stars), Ma Search Bibliography (htlin222/meta-pipe, 139 stars), Meta Analysis (Aperivue/medsci-skills, 333 stars) and Literature Review Tools (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aiming-lab (a GitHub organization) maintains it in aiming-lab/AutoResearchClaw, which has 14,607 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on August 19, 2026.
Source: aiming-lab/AutoResearchClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.