Statistical Data Analysis
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.
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…
Install Framing Research Questions
$ npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/science-superpowers framing-research-questions --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/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/framing-research-questions .claude/skills/framing-research-questions && 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 "framing-research-questions" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questions into .claude/skills/framing-research-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-research-questions", 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/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questionsType 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 K-Dense-AI/science-superpowers --skill framing-research-questions -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/science-superpowers framing-research-questions --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/framing-research-questions .agents/skills/framing-research-questions && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "framing-research-questions" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questions into .agents/skills/framing-research-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-research-questions", 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 K-Dense-AI/science-superpowers --skill framing-research-questions -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/science-superpowers framing-research-questions --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/framing-research-questions .cursor/skills/framing-research-questions && 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 "framing-research-questions" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questions into .cursor/skills/framing-research-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-research-questions", 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/K-Dense-AI/science-superpowers.git --path skills/framing-research-questions--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 K-Dense-AI/science-superpowers --skill framing-research-questions -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/science-superpowers framing-research-questions --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/framing-research-questions .gemini/skills/framing-research-questions && 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 "framing-research-questions" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questions into .gemini/skills/framing-research-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-research-questions", 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 K-Dense-AI/science-superpowers framing-research-questionsInstalls 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 K-Dense-AI/science-superpowers --skill framing-research-questions -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/framing-research-questions .github/skills/framing-research-questions && 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 "framing-research-questions" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questions into .github/skills/framing-research-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-research-questions", 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 K-Dense-AI/science-superpowers --skill framing-research-questions -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/science-superpowers framing-research-questions --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/framing-research-questions .opencode/skills/framing-research-questions && 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 "framing-research-questions" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/framing-research-questions into .opencode/skills/framing-research-questions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framing-research-questions", 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
framing-research-questions- GitHub stars
- 350
- Token cost
- ~2.5k tokens
- SKILL.md length
- 1,135 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…
- Works in 8 steps: Explore context — what data exists, its… → Ask clarifying questions — one at a… → Propose 2-3 framings — different ways to… → …
- Tasks that involve Hypothesis generation
- SKILL.md covers When Feasibility Is Unknown, Anti-Pattern: "This Is Too…, Checklist and Process Flow, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Framing Research Questions is an agent skill from K-Dense-AI/science-superpowers. You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched
Its SKILL.md is about 2.5k 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 Data & Analytics, covering Hypothesis generation, Statistics and Data analysis. The repository describes itself as: Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
When your agent uses it
- Tasks that involve Hypothesis generation
- Tasks that involve Statistics
- Tasks that involve Data analysis
Example prompts
- “/framing-research-questions”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Explore context — what data exists, its shape and provenance, the domain, recent related work in the repo
- Ask clarifying questions — one at a time; understand the phenomenon, the population, the unit of analysis, and what decision the answer…
- Propose 2-3 framings — different ways to make the question precise, with trade-offs and your recommendation
- Present the framing — question, hypotheses, data needed, success/answer criteria, scope; get approval after each section
- Write the question document — save to docs/science-superpowers/questions/YYYY-MM-DD-.md and commit
- Self-review — quick inline check for vagueness, unfalsifiable claims, undefined measures, scope creep (see below)
- Your human partner reviews the written framing — ask them to review the file before proceeding
- Transition — invoke surveying-prior-work to ground methods, then designing-the-analysis
What it can do on your machine
Read from SKILL.md and the folder at commit 0374bdf. 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 dot and markdown).
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
Framing Research Questions loads about 2.5k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,135 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,135 words (~2,543 tokens).
“Help turn a fuzzy research interest into a precise, falsifiable question with explicit hypotheses, the data required, and what would count as an answer — through natural collaborative dialogue.”
- name
- framing-research-questions
Files
Just SKILL.md in skills/framing-research-questions of K-Dense-AI/science-superpowers.
Open the folder on GitHubat commit 0374bdf
Compare with similar skills
Framing Research Questions 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 |
|---|---|---|---|---|---|---|
| Framing Research Questions this skillK-Dense-AI/science-superpowers | 350 | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Statistical Data Analysislingzhi227/agent-research-skills | 390 | — | ~886 | Automated safety check: Pass | None | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT | |
| PyMC Bayesian Modelingdavila7/claude-code-templates | 33k | 11 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Gwas Databasedavila7/claude-code-templates | 33k | 10 repos | ~5k | Automated safety check: Pass | MIT | |
| Power Analysisgaasher/Agent-Loop-Skills | 174 | — | ~2.2k | Automated safety check: Pass | MIT |
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More from K-Dense-AI/science-superpowers
All 13 skills in this repoDesigning The Analysis
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A skill your agent uses when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
Dispatching Parallel Investigations
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A skill your agent uses when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
Establishing Feasibility First
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A skill your agent uses when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested…
Investigating Anomalous Results
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A skill your agent uses when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
Receiving Critical Review
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A skill your agent uses when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable -…
Reporting And Archiving Findings
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A skill your agent uses when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
Related
Categories
Questions about Framing Research Questions
What does Framing Research Questions do?
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…. Framing Research Questions is an agent skill from K-Dense-AI/science-superpowers.
When should I use Framing Research Questions?
Framing Research Questions fits situations like: tasks that involve Hypothesis generation; tasks that involve Statistics; tasks that involve Data analysis.
How do I install Framing Research Questions in Claude Code?
Run `npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions -a claude-code`. Or copy the skill folder (skills/framing-research-questions in K-Dense-AI/science-superpowers) into .claude/skills/framing-research-questions in your project. Claude Code loads it when a task matches its description.
How do I install Framing Research Questions in Codex?
Run `npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions -a codex`. Or copy the skill folder (skills/framing-research-questions in K-Dense-AI/science-superpowers) into .agents/skills/framing-research-questions in your project. Codex loads it when a task matches its description.
Can I use Framing Research Questions 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 K-Dense-AI/science-superpowers --skill framing-research-questions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/framing-research-questions, .gemini/skills/framing-research-questions, .github/skills/framing-research-questions and .opencode/skills/framing-research-questions in your project.
What does Framing Research Questions need to run?
SKILL.md names no scripts, command-line tools or credentials: Framing Research Questions is instructions for the agent only.
Does Framing Research Questions 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 Framing Research Questions 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 Framing Research Questions use?
Framing Research Questions has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Framing Research Questions use?
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.
What are the alternatives to Framing Research Questions?
Skills that share tags, products or a category with Framing Research Questions: Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars), PyMC Bayesian Modeling (davila7/claude-code-templates, 33k stars) and Gwas Database (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Framing Research Questions?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/science-superpowers, which has 350 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 13, 2026.
Source: K-Dense-AI/science-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.