Agent skill

Designing The Analysis

by K-Dense-AI in K-Dense-AI/science-superpowers

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

Custom licenceAuto-check passedResearch & Science

Install Designing The Analysis

skills CLI
$ npx skills add K-Dense-AI/science-superpowers --skill designing-the-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install K-Dense-AI/science-superpowers designing-the-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/designing-the-analysis .claude/skills/designing-the-analysis && rm -rf skills-src

Use ~/.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/

Facts

Skill name
designing-the-analysis
GitHub stars
350
Token cost
~1.7k tokens
SKILL.md length
717 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

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

  • Works in 5 steps: Coverage: Does a task answer the… → Researcher degrees of freedom: Is every… → Confound coverage: Is every surveyed… → …
  • You have an approved research question and need a concrete analysis plan
  • SKILL.md covers Overview, Scope Check, Inputs You Need First and Artifact & Data-Flow Structure, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Designing The Analysis is an agent skill from K-Dense-AI/science-superpowers. Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model

Its SKILL.md is about 1.7k 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 Hypothesis generation. 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

  • You have an approved research question and need a concrete analysis plan
  • Before touching outcome data
  • Fitting any model

Example prompts

  • “/designing-the-analysis”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Coverage: Does a task answer the question? Does every hypothesis have an analysis?
  2. Researcher degrees of freedom: Is every analytic choice (test, covariates, exclusions, transformations, cutoffs) specified in advance?…
  3. Confound coverage: Is every surveyed confound handled by a task?
  4. Placeholder scan: Any of the failures above? Fix them.
  5. Consistency: Do variable names, file paths, and the decision rule match across tasks?

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 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

Designing The Analysis loads about 1.7k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 717 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 717 words (~1,722 tokens).

“Write a comprehensive analysis plan assuming the analyst has zero context for this project and questionable statistical taste. Document everything they need: which datasets and variables, how each construct is computed, the exact model or test, the sample size /…”

— opening of SKILL.md by K-Dense-AI, Custom licence
name
designing-the-analysis

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/designing-the-analysis of K-Dense-AI/science-superpowers.

Open the folder on GitHubat commit 0374bdf

Compare with similar skills

Designing The Analysis 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.

Designing The Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Designing The Analysis this skillK-Dense-AI/science-superpowers350—~1.7kAutomated safety check: PassCustom licence
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Hypothesis GenerationK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: PassMIT
Good QuestionRimagination/good-question3051 repos~4.3kAutomated safety check: PassMIT
High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab1k—~2.2kAutomated safety check: PassMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Research & ScienceAuto-check: notes
  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • Hypothesis Generation

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  • Good Question

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    A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…

    305 GitHub starsUsed in 1 repo~4.3k tokens
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  • High Stakes Analytics Decision Lab

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More from K-Dense-AI/science-superpowers

All 13 skills in this repo
  • 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

    350 GitHub stars~1.3k tokensUpdated 27 days ago
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  • Establishing Feasibility First

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    350 GitHub stars~4.2k tokensUpdated 27 days ago
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  • Framing Research Questions

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    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…

    350 GitHub stars~2.5k tokensUpdated 27 days ago
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  • Investigating Anomalous Results

    K-Dense-AI/science-superpowers

    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

    350 GitHub stars~1.9k tokensUpdated 27 days ago
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  • Receiving Critical Review

    K-Dense-AI/science-superpowers

    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 -…

    350 GitHub stars~1.3k tokensUpdated 27 days ago
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  • Reporting And Archiving Findings

    K-Dense-AI/science-superpowers

    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

    350 GitHub stars~1.7k tokensUpdated 27 days ago
    Auto-check passed

Questions about Designing The Analysis

What does Designing The Analysis do?

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. Designing The Analysis is an agent skill from K-Dense-AI/science-superpowers.

When should I use Designing The Analysis?

Designing The Analysis fits situations like: you have an approved research question and need a concrete analysis plan; before touching outcome data; fitting any model.

How do I install Designing The Analysis in Claude Code?

Run `npx skills add K-Dense-AI/science-superpowers --skill designing-the-analysis -a claude-code`. Or copy the skill folder (skills/designing-the-analysis in K-Dense-AI/science-superpowers) into .claude/skills/designing-the-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Designing The Analysis in Codex?

Run `npx skills add K-Dense-AI/science-superpowers --skill designing-the-analysis -a codex`. Or copy the skill folder (skills/designing-the-analysis in K-Dense-AI/science-superpowers) into .agents/skills/designing-the-analysis in your project. Codex loads it when a task matches its description.

Can I use Designing The Analysis 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 designing-the-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/designing-the-analysis, .gemini/skills/designing-the-analysis, .github/skills/designing-the-analysis and .opencode/skills/designing-the-analysis in your project.

What does Designing The Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Designing The Analysis is instructions for the agent only. Our summary lists: Python 3.

Does Designing The Analysis 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 Designing The Analysis 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 Designing The Analysis use?

Designing The Analysis 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 Designing The Analysis use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Designing The Analysis?

Skills that share tags, products or a category with Designing The Analysis: Hypothesis Generation (spacering-net/codeg, 3.9k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Designing The Analysis?

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.