Scientific Critical Thinking
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
Plans research experiments in four progressive stages, from a first working implementation through baseline tuning and creative research to ablation studies.
$ npx skills add lingzhi227/agent-research-skills --skill experiment-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lingzhi227/agent-research-skills experiment-design --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/experiment-design .claude/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/experiment-design into .claude/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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/experiment-designType 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 experiment-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lingzhi227/agent-research-skills experiment-design --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/experiment-design .agents/skills/experiment-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-design" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/experiment-design into .agents/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 experiment-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lingzhi227/agent-research-skills experiment-design --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/experiment-design .cursor/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/experiment-design into .cursor/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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/experiment-design--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 experiment-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lingzhi227/agent-research-skills experiment-design --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/experiment-design .gemini/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/experiment-design into .gemini/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 experiment-designInstalls 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 experiment-design -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/experiment-design .github/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/experiment-design into .github/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 experiment-design -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 experiment-design --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/experiment-design .opencode/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/experiment-design into .opencode/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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.
experiment-designPlans research experiments in four progressive stages, from a first working implementation through baseline tuning and creative research to ablation studies.
Given a research idea, plan or method description, the skill structures an experiment plan around four stages taken from AI-Scientist-v2. Stage 1 gets a simple working implementation on a basic dataset, stage 2 tunes hyperparameters without changing the architecture and tests on at least two datasets, stage 3 explores novel improvements on at least three, and stage 4 runs systematic ablations on the same datasets.
A bundled stdlib-only Python script, `scripts/design_experiments.py`, generates baselines, an ablation matrix, a hyperparameter grid and metric selection from a plan JSON file or from a method and task, with JSON or Markdown output. The rules call for multi-seed evaluation, logging every run in notes.txt and figures for training curves. A references file holds the stage prompts.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9e6c085. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom 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 Experiment Designer loads about 752 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 200 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 200 words (~752 tokens).
“Design structured, progressive experiment plans for research papers.”
SKILL.md and 2 other files (scripts, references) in skills/experiment-design of lingzhi227/agent-research-skills.
Open the folder on GitHubat commit 9e6c085
Research Experiment Designer 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 Experiment Designer this skilllingzhi227/agent-research-skills | 390 | — | ~752 | Automated safety check: Pass | None | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 22 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 6 repos | ~2.3k | Automated safety check: Notes | None | |
| Research Refine PipelinezjYao36/Auto-Research-Refine | 128 | 5 repos | ~1.4k | Automated safety check: Notes | None | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT |
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
HKUSTDial/Supervisor-Skills
Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
zjYao36/Auto-Research-Refine
Chains research-refine and experiment-plan to turn a vague research direction into a focused proposal and a claim-driven experiment roadmap.
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.
K-Dense-AI/scientific-agent-skills
Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.
lingzhi227/agent-research-skills
Makes each number in a LaTeX paper link back to the code line that produced it, using hypertarget and hyperlink tags and compile-time `\num` formulas.
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
lingzhi227/agent-research-skills
Draws and refines Excalidraw diagrams on a live canvas through MCP tools or a REST API, with screenshots, file import and export, snapshots and Mermaid conversion.
lingzhi227/agent-research-skills
Generates publication-quality scientific figures with matplotlib or seaborn through query expansion, a run-and-retry coding loop and a visual check of the rendered PNG.
lingzhi227/agent-research-skills
Generates and iteratively refines research ideas for a given area, checking each one's novelty against Semantic Scholar and arXiv, and scoring it on interestingness, feasibility and novelty.
lingzhi227/agent-research-skills
Sets up conference-specific LaTeX paper templates, checks a draft for formatting and submission issues, and auto-fixes common problems for venues like ICML, ICLR, NeurIPS, AAAI and ACL.
Categories
Plans research experiments in four progressive stages, from a first working implementation through baseline tuning and creative research to ablation studies. Given a research idea, plan or method description, the skill structures an experiment plan around four stages taken from AI-Scientist-v2. Stage 1 gets a simple working implementation on a basic dataset, stage 2 tunes hyperparameters without changing the architecture and tests on at least two datasets, stage 3 explores novel improvements on at least three, and stage 4 runs systematic ablations on the same datasets.
Research Experiment Designer fits situations like: planning experiments for a research paper; choosing baselines and an ablation matrix for a new method; laying out hyperparameter sweeps and evaluation metrics.
Run `npx skills add lingzhi227/agent-research-skills --skill experiment-design -a claude-code`. Or copy the skill folder (skills/experiment-design in lingzhi227/agent-research-skills) into .claude/skills/experiment-design in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lingzhi227/agent-research-skills --skill experiment-design -a codex`. Or copy the skill folder (skills/experiment-design in lingzhi227/agent-research-skills) into .agents/skills/experiment-design 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 lingzhi227/agent-research-skills --skill experiment-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-design, .gemini/skills/experiment-design, .github/skills/experiment-design and .opencode/skills/experiment-design in your project.
Going by SKILL.md and its folder, Research Experiment Designer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python, standard library only, to run `scripts/design_experiments.py`.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Research Experiment Designer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 752 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 878 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Research Experiment Designer: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars), Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars) and Research Refine Pipeline (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.