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 the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct…
Install Hrm Methods
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hrm-methods --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/Human-Resource-Management-Skills/skills/hrm-methods .claude/skills/hrm-methods && 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 "hrm-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Human-Resource-Management-Skills/skills/hrm-methods into .claude/skills/hrm-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hrm-methods", 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/Human-Resource-Management-Skills/skills/hrm-methodsType 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 hrm-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hrm-methods --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/Human-Resource-Management-Skills/skills/hrm-methods .agents/skills/hrm-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hrm-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Human-Resource-Management-Skills/skills/hrm-methods into .agents/skills/hrm-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hrm-methods", 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 hrm-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hrm-methods --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/Human-Resource-Management-Skills/skills/hrm-methods .cursor/skills/hrm-methods && 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 "hrm-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Human-Resource-Management-Skills/skills/hrm-methods into .cursor/skills/hrm-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hrm-methods", 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 Human-Resource-Management-Skills/skills/hrm-methods--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 hrm-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hrm-methods --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/Human-Resource-Management-Skills/skills/hrm-methods .gemini/skills/hrm-methods && 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 "hrm-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Human-Resource-Management-Skills/skills/hrm-methods into .gemini/skills/hrm-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hrm-methods", 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 hrm-methodsInstalls 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 hrm-methods -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/Human-Resource-Management-Skills/skills/hrm-methods .github/skills/hrm-methods && 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 "hrm-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Human-Resource-Management-Skills/skills/hrm-methods into .github/skills/hrm-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hrm-methods", 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 hrm-methods -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 hrm-methods --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/Human-Resource-Management-Skills/skills/hrm-methods .opencode/skills/hrm-methods && 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 "hrm-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Human-Resource-Management-Skills/skills/hrm-methods into .opencode/skills/hrm-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hrm-methods", 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
hrm-methods- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 683 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct…
- The research design is the bottleneck for a Human Resource Management (Wiley HRM) manuscript — matching multilevel structure
- SKILL.md covers When to trigger, HRM accepts any rigorous…, Designing against the threats… and Level-of-analysis discipline, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Multi-source/multi-wave timing
What it does
Hrm Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct validity, and common-method-bias defenses to the theoretical claim. Designs the study; it does not run the estimation (hrm-data-analysis).
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 Recruiting and HR and 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
- The research design is the bottleneck for a Human Resource Management (Wiley HRM) manuscript — matching multilevel structure
- Multi-source/multi-wave timing
- Construct validity
- Common-method-bias defenses to the theoretical claim
Example prompts
- “/hrm-methods”
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
Hrm Methods loads about 1.7k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 683 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). 683 words, ~1,679 tokens.
Download SKILL.mdSave it as
.claude/skills/hrm-methods/SKILL.md (or your agent's skills folder).- name
- hrm-methods
- description
- Use when the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct validity, and common-method-bias defenses to the theoretical claim. Designs the study; it does not run the estimation (hrm-data-analysis).
Research Design & Methods (hrm-methods)
When to trigger
- Predictor and outcome are single-source, single-wave, self-reported (common-method-bias risk)
- The theory is cross-level (unit HR system → individual outcome) but data are one level
- HR-system or practice constructs lack validated measures or a defended aggregation
- The causal claim ("HPWS raises performance") rests on cross-sectional correlation
- A reviewer says "the design cannot test this hypothesis," "CMB," or "HPWS adoption is endogenous"
HRM accepts any rigorous design — the bar is fit, not method
HRM welcomes qualitative, quantitative, meta-analytic, and critical-review work, exploratory or confirmatory, inductive/deductive/abductive. The judgment is fit and rigor, plus the journal's demand that the design support a practice-relevant conclusion. Match the design to the claim:
| Theoretical claim | Design that earns it |
|---|---|
| HR practice/system → individual attitudes & behavior | Multi-source, multi-wave survey; predictor and outcome from different sources/times |
| Unit HR system → individual outcomes (cross-level) | Nested data (employees in units); HLM-appropriate structure; aggregation justified |
| HR system → firm/establishment performance | Panel archival with fixed effects + an endogeneity/identification strategy |
| Causal effect of an HR intervention | Field experiment, natural experiment, or quasi-experiment (DiD) |
| Rich, contested, or emergent HR phenomenon | Qualitative / multi-method, with grounded rigor and a transparent audit trail |
A two-study design (e.g., a field study for generalizability plus an experiment for the mechanism) is a recognized HRM strength.
Designing against the threats HRM referees punish
- Common-method bias (CMB). Procedural remedies beat statistical fixes: separate the source (self-report predictor, supervisor/objective outcome) and the time (multi-wave lag) of measurement, and plan this before data collection. A Harman single-factor test or a single unmeasured-latent-method-factor model is a supplement, not a defense.
- Endogeneity of HR adoption (archival/strategic HRM). Firms choose HPWS for reasons correlated with performance. Anticipate omitted variables, reverse causality, and selection; specify an identification strategy (panel fixed effects, DiD, instrument, or natural experiment) and state the assumption each requires.
- Construct validity. Use validated multi-item scales; pilot new HR-practice measures; plan a CFA establishing convergent/discriminant validity. Be explicit whether you measure the intended, implemented, or perceived HR system — they are different constructs and require different respondents.
- Aggregation. When measuring a unit-level HR system from individual reports, justify aggregation with r_wg, ICC(1) / ICC(2), and a substantive composition model (referent-shift vs. direct consensus). Do not aggregate without a theory of why the construct is shared.
- Sampling and power. Justify the sampling frame and response rate; power the interaction/cross-level effects, which need more power than main effects.
Show full SKILL.md (292 more words)Show less
Level-of-analysis discipline
State the level for theory, measurement, and analysis, and keep them aligned. If theory is unit-level but data are individual, justify aggregation; if effects are cross-level, the analysis must model the nesting — do not run OLS on nested data.
Execution bridge (StatsPAI / Stata MCP)
For the empirical / causal lane, estimate and audit rather than only specify. Full
map: execution-with-mcp. HRM is empirical HR — multilevel survey data, field experiments, and panels; multilevel inference and many-outcome corrections matter most.
detect_design→recommend→ fit withas_handle=true→audit_resultto enumerate the checks the design owes.- Panel / staggered DiD:
callaway_santanna/sun_abraham+bacon_decompositionhonest_did_from_result. IV:effective_f_test+anderson_rubin_ci. RDD:rdrobust+mccrary_test.
- Experiments: randomization-based inference and
romano_wolffor the many-outcome family-wise correction reviewers expect.
Match the toolchain to the reviewer pool, and report the effect size the venue wants. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Checklist
- Design can actually test each hypothesis (causal claims have causal leverage)
- CMB addressed by designed source/time separation, not just a post-hoc test
- Endogeneity strategy specified for HR-adoption / archival causal claims
- Constructs use validated measures; new HR measures piloted; CFA planned
- Intended vs. implemented vs. perceived HR system stated and matched to respondent
- Aggregation justified (r_wg, ICC) with a stated composition model
- Levels aligned across theory, measurement, analysis; nesting modeled
- Power justified for cross-level / interaction effects, not just main effects
Anti-patterns
- Cross-sectional causal claim: "HR practice causes outcome" from one-wave self-report
- CMB as afterthought: a Harman test standing in for designed separation
- Endogeneity ignored: an HPWS→performance coefficient with an obviously self-selected adopter set
- Aggregation by fiat: averaging individuals into a "unit HR system" with no r_wg/ICC
- Construct slippage: measuring perceived practices but theorizing the implemented system
- Underpowered cross-level interaction reported as a null boundary condition
Output format
【Design】multi-source survey / multilevel nested / panel-archival / experiment / qualitative / multi-method
【Hypothesis–design fit】each H testable? notes ...
【CMB plan】source separation + time lag ...
【Endogeneity strategy】(if archival) FE / DiD / IV / natural experiment ...
【Constructs】validated? new (piloted)? CFA? intended/implemented/perceived?
【Aggregation】r_wg / ICC(1)/ICC(2); composition model
【Levels & power】theory/measurement/analysis aligned; power for cross-level/interaction
【Next skill】hrm-data-analysis© 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 Human-Resource-Management-Skills/skills/hrm-methods of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Hrm Methods 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 |
|---|---|---|---|---|---|---|
| Hrm Methods 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 | |
| Statistical Data Analysislingzhi227/agent-research-skills | 384 | — | ~886 | Automated safety check: Pass | None | |
| FRED Macro Time Serieskansoku-trade/kansoku | 327 | 1 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Diagnostic Study Quality Assessment Quadasaipoch/medical-research-skills | 2k | — | ~1.4k | Automated safety check: Pass | MIT |
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Q-EDA Exploratory Analysis
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Diagnostic Study Quality Assessment Quadas
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Related
Questions about Hrm Methods
What does Hrm Methods do?
A skill your agent uses when the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct…. Hrm Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct validity, and common-method-bias defenses to the theoretical claim.
When should I use Hrm Methods?
Hrm Methods fits situations like: the research design is the bottleneck for a Human Resource Management (Wiley HRM) manuscript — matching multilevel structure; multi-source/multi-wave timing; construct validity; common-method-bias defenses to the theoretical claim.
How do I install Hrm Methods in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-methods -a claude-code`. Or copy the skill folder (Human-Resource-Management-Skills/skills/hrm-methods in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/hrm-methods in your project. Claude Code loads it when a task matches its description.
How do I install Hrm Methods in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-methods -a codex`. Or copy the skill folder (Human-Resource-Management-Skills/skills/hrm-methods in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/hrm-methods in your project. Codex loads it when a task matches its description.
Can I use Hrm Methods 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 hrm-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hrm-methods, .gemini/skills/hrm-methods, .github/skills/hrm-methods and .opencode/skills/hrm-methods in your project.
What does Hrm Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Hrm Methods is instructions for the agent only.
Does Hrm Methods 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 Hrm Methods 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 Hrm Methods use?
Hrm Methods 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 Hrm Methods use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Hrm Methods?
Skills that share tags, products or a category with Hrm Methods: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 384 stars), FRED Macro Time Series (kansoku-trade/kansoku, 327 stars) and Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hrm Methods?
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.