Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
A skill your agent uses when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on…
Install Cps Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cps-data-analysis --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Comparative-Political-Studies-Skills/skills/cps-data-analysis .claude/skills/cps-data-analysis && 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 "cps-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysis into .claude/skills/cps-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cps-data-analysis", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysisType 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 brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cps-data-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Comparative-Political-Studies-Skills/skills/cps-data-analysis .agents/skills/cps-data-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cps-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysis into .agents/skills/cps-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cps-data-analysis", 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 brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cps-data-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Comparative-Political-Studies-Skills/skills/cps-data-analysis .cursor/skills/cps-data-analysis && 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 "cps-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysis into .cursor/skills/cps-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cps-data-analysis", 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/brycewang-stanford/Awesome-Journal-Skills.git --path Comparative-Political-Studies-Skills/skills/cps-data-analysis--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 brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cps-data-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Comparative-Political-Studies-Skills/skills/cps-data-analysis .gemini/skills/cps-data-analysis && 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 "cps-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysis into .gemini/skills/cps-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cps-data-analysis", 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 brycewang-stanford/Awesome-Journal-Skills cps-data-analysisInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Comparative-Political-Studies-Skills/skills/cps-data-analysis .github/skills/cps-data-analysis && 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 "cps-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysis into .github/skills/cps-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cps-data-analysis", 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 brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cps-data-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Comparative-Political-Studies-Skills/skills/cps-data-analysis .opencode/skills/cps-data-analysis && 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 "cps-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Comparative-Political-Studies-Skills/skills/cps-data-analysis into .opencode/skills/cps-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cps-data-analysis", 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
cps-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 707 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on…
- Works in 6 steps: Main estimate that matches the design.… → Honest uncertainty. Cluster at the… → Measurement transparency. Name the… → …
- Running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation
- SKILL.md covers When to trigger, Analysis priorities (in order), Comparative-data hazards to… and Failure-mode audit, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cps Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data. Sets analysis norms; it does not choose the identification strategy (see cps-research-design).
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 Data & Analytics, covering Data analysis. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation
- Multi-method triangulation on comparative data
Example prompts
- “/cps-data-analysis”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Main estimate that matches the design. The headline specification should be the one the
- Honest uncertainty. Cluster at the assignment level (usually country / country-year); with few
- Measurement transparency. Name the source and coding of each comparative variable (e.g., V-Dem,
- Robustness as a coherent story. Alternative specifications, samples, codings, and estimators that
- Heterogeneity by theory. Subgroups/scope conditions pre-specified by the mechanism
- Mechanism evidence. Tie the quantitative result to the mechanism — mediation cautiously, or case
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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.
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
Cps Data Analysis loads about 1.7k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 707 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
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 707 words, ~1,696 tokens.
Download SKILL.mdSave it as
.claude/skills/cps-data-analysis/SKILL.md (or your agent's skills folder).- name
- cps-data-analysis
- description
- Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data. Sets analysis norms; it does not choose the identification strategy (see cps-research-design).
Data Analysis (cps-data-analysis)
Once the design is fixed (cps-research-design), this skill governs how the analyses are run and
reported so a CPS reviewer trusts them. Comparative data bring distinctive hazards: few clusters
(countries), cross-national measurement error, missing data that differ by regime, and the temptation to
over-read a panel correlation as causal. The standard is modern, transparent, and replication-ready.
When to trigger
- Estimating the main results, robustness, and heterogeneity
- A reviewer questioned standard errors, specification, measurement, or fragility of the result
- Deciding what goes in the main text vs. the supplementary/online appendix
- Triangulating quantitative estimates with case evidence
Analysis priorities (in order)
- Main estimate that matches the design. The headline specification should be the one the identification argument justifies — not the one with the biggest coefficient or most stars.
- Honest uncertainty. Cluster at the assignment level (usually country / country-year); with few countries use wild-cluster bootstrap or randomization inference. Report CIs, not just stars.
- Measurement transparency. Name the source and coding of each comparative variable (e.g., V-Dem, Polity, CSES, Manifesto Project); show robustness to alternative codings of the key construct.
- Robustness as a coherent story. Alternative specifications, samples, codings, and estimators that probe the threats named in the design — not a scattershot table of every variant.
- Heterogeneity by theory. Subgroups/scope conditions pre-specified by the mechanism
(
cps-theory-building), not data-mined; adjust for multiple comparisons. - Mechanism evidence. Tie the quantitative result to the mechanism — mediation cautiously, or case evidence in a multi-method design.
Comparative-data hazards to address explicitly
| Hazard | Symptom | Fix |
|---|---|---|
| Few clusters (countries) | over-rejection, tiny SEs | wild-cluster bootstrap / randomization inference |
| Cross-national measurement error | results flip across codings | show robustness to V-Dem/Polity/alt scales |
| Differential missingness | sample changes by regime type | report attrition; multiple imputation with caution |
| Time-series confounding | spurious trend correlations | unit + period FE; over-time placebo |
Failure-mode audit
Run this audit before interpreting the main coefficient:
- Concept equivalence: Does the key variable mean the same thing across regimes, languages, regions, or institutions? If not, report measurement-invariance checks, alternative codings, or scope limits.
- Selection into observation: Are only more democratic, richer, more peaceful, or better-measured cases observed? Report the observation process and show how estimates change under credible sample restrictions.
- Temporal dependence: Are observations mechanically persistent across years? Use lag structure, unit trends, event-time plots, or placebo leads to avoid re-labeling persistence as effect.
- Cluster leverage: Does one country, region, election, conflict, or reform episode drive the result? Show leave-one-cluster-out or influence diagnostics for claims that hinge on few cases.
- Subgroup multiplicity: If theory predicts heterogeneity, pre-specify the dimensions and report how many comparisons were examined.
The output should connect each failure mode to a design threat. Do not add a robustness table unless it
answers a named threat in cps-research-design.
Show full SKILL.md (255 more words)Show less
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. CPS is comparative politics — cross-national and sub-national designs; emphasize identification and clustered / multiway inference.
- Many outcomes / specifications:
romano_wolf(step-down FWER) orbenjamini_hochberg— report the adjusted threshold. - OVB sensitivity:
oster_delta/sensemakr. - Inference:
wild_cluster_bootstrap(few clusters),twoway_cluster/conley; multilevel data → cluster at the right level. - Re-fit off one handle:
audit_result(result_id)lists the missing checks and the exactsuggest_functionfor each. - Exhibits:
etable/did_summary_to_latexfrom the handle — no retyped numbers.
Keep the decisive checks in the body and the exhaustive battery in the supplement. See the executed chain in the JF execution walkthrough.
Checklist
- Headline specification = the one the design justifies
- SEs clustered at the assignment level; few-cluster correction where needed
- Every comparative variable's source and coding named; key construct robust to alt codings
- Robustness probes the design's named threats; not a kitchen sink
- Heterogeneity pre-specified by theory; multiple testing addressed
- Main text vs. appendix split is deliberate; every appendix result is referenced
- All results reproduce from the script destined for the CPS Dataverse
Anti-patterns
- Treating a cross-national panel correlation as causal without the design to back it
- Default OLS SEs with 20 countries (massively over-rejects)
- Cherry-picking the coding of the key variable that gives significance
- Robustness theater — many variants that never test the actual threat
- Data-mined subgroups reported as confirmed heterogeneity
- Results in the paper that the deposited code does not reproduce
Output format
【Headline result】estimate + CI, with the design it rests on
【Inference】clustering level + few-cluster correction if any
【Measurement】sources/codings + alt-coding robustness
【Failure-mode audit】concept equivalence / observation selection / temporal dependence / cluster leverage / multiplicity
【Robustness】the design-threats probed
【Heterogeneity】theory-driven subgroups + multiple-testing fix
【Reproducible?】script regenerates every exhibit [Y/N]
【Next】cps-tables-figuresSupplementary resources
../../resources/code/— clean → estimate → robustness → tables skeleton (Stata + Python)../../resources/external_tools.md— estimation and inference packages (R / Stata / Python)
© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in Comparative-Political-Studies-Skills/skills/cps-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Cps Data 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cps Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 206 | 3 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT |
Similar skills
Excel and CSV Data Analysis
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
Exploratory Data Analysis
Oleafly/Oleafly
Perform bounded, local exploratory analysis of explicitly supported scientific files.
Python Executor
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
Agentic Kaggle Workflow
FrankS-IntelLab/agentic-kaggle-skill
Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.
Yichen Wecom Local Vault
mcncarl/yichen-skills
Read, decrypt, query, search, and export local WeCom/企业微信 5.x desktop databases on macOS into a private read-only vault.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Related
Categories
Questions about Cps Data Analysis
What does Cps Data Analysis do?
A skill your agent uses when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on…. Cps Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data.
When should I use Cps Data Analysis?
Cps Data Analysis fits situations like: running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation; multi-method triangulation on comparative data.
How do I install Cps Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a claude-code`. Or copy the skill folder (Comparative-Political-Studies-Skills/skills/cps-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cps-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Cps Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cps-data-analysis -a codex`. Or copy the skill folder (Comparative-Political-Studies-Skills/skills/cps-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cps-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Cps Data 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 brycewang-stanford/Awesome-Journal-Skills --skill cps-data-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/cps-data-analysis, .gemini/skills/cps-data-analysis, .github/skills/cps-data-analysis and .opencode/skills/cps-data-analysis in your project.
What does Cps Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Cps Data Analysis is instructions for the agent only.
Does Cps Data 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 Cps Data 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 Cps Data Analysis use?
Cps Data Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cps Data Analysis use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Cps Data Analysis?
Skills that share tags, products or a category with Cps Data Analysis: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 206 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cps Data Analysis?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.