Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70), scale-out via managed Batch APIs or a local/HPC server, and distillation to a cheap classifier for very large corpora. Use for LLM annotation, classification, framing/stance coding, relevance filtering, structured extraction, and any LLM-as-measurement task over a text corpus. Ships a real execution engine (assets/) — not in-context snippets.
EnglishConduct exploratory data analysis (EDA) before hypothesis testing. Run when the user has a dataset and needs to load data, build the analytic sample, diagnose missing data, inspect distributions, visualize relationships, check collinearity, and produce a publication-ready Table 1 and pre-analysis memo. Produces figures (PDF/PNG) and tables (HTML/docx/TeX). Saves output to disk. Works after /scholar-data and before /scholar-analyze.
EnglishExplore broad social science ideas and convert them into formal, researchable questions. Use when the user has an early-stage topic, puzzle, or rough question and wants sharper research questions, candidate mechanisms, scope conditions, testable hypotheses, and feasible study directions.
EnglishImplement open science practices for a social science study. Five modes: (1) PREREGISTER — OSF / AsPredicted / EGAP / Registered Reports; secondary-data preregistration; deviation reporting; (2) DATA-SHARE — FAIR principles, de-identification, repository selection (Dataverse / ICPSR / Zenodo / QDR), social media policies, computational data (model weights, embeddings), data availability statements; (3) CODE-SHARE — minimum + gold-standard replication packages, README template, renv / conda / Docker / Makefile environments, CITATION.cff, Zenodo DOI via GitHub; (4) FULL-PACKAGE — data management plan (NSF/NIH template), CRediT authorship, COI, IRB statement, preprint strategy, open access + APC waiver guidance; (5) REPLICATION-PACKAGE — end-to-end audit against journal requirements. Required at Nature journals; increasingly expected at ASR, Demography, and Science Advances. Saves preregistration document, data management plan, and replication-package README to disk.
EnglishDraft, revise, or polish any section of a social science manuscript — Introduction, Theory, Methods, Results, Discussion, Abstract, or full paper. Saves draft sections to disk as publication-ready text and an internal writing log. Works best after /scholar-lit-review, /scholar-hypothesis, /scholar-design, and /scholar-analyze. Invoke with mode (draft/revise/polish), section name, topic, and target journal.
English
AGENT SKILLS ATLASIncludes Scholar Annotate, Scholar Eda, Scholar Idea, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Scholar Annotate
Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70), scale-out via managed Batch APIs or a local/HPC server, and distillation to a cheap classifier for very large corpora. Use for LLM annotation, classification, framing/stance coding, relevance filtering, structured extraction, and any LLM-as-measurement task over a text corpus. Ships a real execution engine (assets/) — not in-context snippets.
Scholar Eda
Conduct exploratory data analysis (EDA) before hypothesis testing. Run when the user has a dataset and needs to load data, build the analytic sample, diagnose missing data, inspect distributions, visualize relationships, check collinearity, and produce a publication-ready Table 1 and pre-analysis memo. Produces figures (PDF/PNG) and tables (HTML/docx/TeX). Saves output to disk. Works after /scholar-data and before /scholar-analyze.
Scholar Idea
Explore broad social science ideas and convert them into formal, researchable questions. Use when the user has an early-stage topic, puzzle, or rough question and wants sharper research questions, candidate mechanisms, scope conditions, testable hypotheses, and feasible study directions.
Scholar Open
Implement open science practices for a social science study. Five modes: (1) PREREGISTER — OSF / AsPredicted / EGAP / Registered Reports; secondary-data preregistration; deviation reporting; (2) DATA-SHARE — FAIR principles, de-identification, repository selection (Dataverse / ICPSR / Zenodo / QDR), social media policies, computational data (model weights, embeddings), data availability statements; (3) CODE-SHARE — minimum + gold-standard replication packages, README template, renv / conda / Docker / Makefile environments, CITATION.cff, Zenodo DOI via GitHub; (4) FULL-PACKAGE — data management plan (NSF/NIH template), CRediT authorship, COI, IRB statement, preprint strategy, open access + APC waiver guidance; (5) REPLICATION-PACKAGE — end-to-end audit against journal requirements. Required at Nature journals; increasingly expected at ASR, Demography, and Science Advances. Saves preregistration document, data management plan, and replication-package README to disk.
Scholar Write
Draft, revise, or polish any section of a social science manuscript — Introduction, Theory, Methods, Results, Discussion, Abstract, or full paper. Saves draft sections to disk as publication-ready text and an internal writing log. Works best after /scholar-lit-review, /scholar-hypothesis, /scholar-design, and /scholar-analyze. Invoke with mode (draft/revise/polish), section name, topic, and target journal.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Scholar Annotate skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- License details are not provided in these listings. Check the author’s terms before using the skills.