Claude Skills by scdenney

Designs and diagnoses list experiments (the item count technique) — whether indirect measurement is warranted at all, control-list construction against ceiling and floor effects, design variants such as double list and direct-question pairing, difference-in-means and maximum-likelihood estimators via ictreg, the no-design-effect and no-liar assumptions with ict.test and ict.hausman.test, corrections for common failures, and power planning that accounts for the large precision penalty. Use whe...

Builds or audits a literature review — evidence map, closest prior work, source clusters, gap verdict, and a synthesis plan that feeds the introduction. Use when the user asks whether a contribution is novel, who else has studied a question, what the literature actually establishes, how to organize or restructure a review section, or wants a reading list, Zotero export, or pile of papers turned into a review. Produces a systematic-review protocol scaffold and hands off to registration (PROSPE...

Reads a model's own uncertainty off its token log-probabilities — collecting logprobs and aggregating multi-token labels, confidence tiers and margins for triage, calibration assessment with ECE, Brier scores, and reliability diagrams, using confidence downstream without laundering it into evidence, and what to archive for reproducibility. Use when the user asks how confident a classifier was on each item, asks about logprobs, top-k tokens, calibration, ECE, Brier, or reliability diagrams, or...

Audits a methods section against a 45-item checklist synthesized from the APSA Experimental Section rubric, JARS-Quant, CONSORT, and DA-RT — pre-registration and design documentation, subjects and recruitment, randomization and treatment detail, CONSORT-style sample flow with attrition, statistical analysis with sample-size justification and three-tier results labeling, conjoint-specific reporting, the four validity types, and open-science infrastructure. Use when the user asks whether a meth...

Runs a deliberative two-model committee — GPT-5.6 Sol and Claude Opus 5 as members, under a selectable chair. Chair defaults to Claude Opus 5; `/model-committee-fable` chairs with Fable 5.1, and `/model-committee-sol` chairs with GPT-5.6 Sol via Codex, which also drops the GPT member to Terra so the chair is not also a member. Use when one consequential decision must come out of several defensible options and the two model families should propose independently, critique each other, revise, an...

Runs several language models as independent coders on the same labeling or discovery task and reads their disagreement as data — panel assembly for model diversity, keeping votes independent, consensus rules, agreement statistics (Cohen's and Fleiss kappa, Krippendorff's alpha), the correlated-errors caveat that stops agreement being mistaken for validity, human validation beyond the panel, and reporting. Use when the user asks about a council, panel, ensemble, or jury of models, asks how to ...

Drafts or audits the introduction and framing of a scientific paper — the motivating real-world "why", the evidence audit, the funnel from theory to a falsifiable if-then with a named estimand, bridges between multiple experiments, and a contribution list that matches what the design can deliver. Use when the user asks to write, restructure, or critique an introduction, motivate or frame a paper, fix a gap-in-the-literature opening, sharpen or calibrate a contribution claim, or connect severa...

Run a multi-model orchestration workflow led by the session's own strongest-available model — Fable 5.1 or Claude Opus 5 — delegating mechanical work (boilerplate, tests, formatting, bulk edits) to a fast-worker subagent (Sonnet), wide or parallel reasoning to deep-reasoner subagents (Opus, pinned high), and high-stakes or fresh-perspective calls to Codex, a different-vendor GPT-5.6 peer (`gpt-5.6-sol` by default). The lead is detected from the model line in the session's own context, and `--...

Pre-submission audit of a manuscript — argument, numerical consistency, references and DOIs, writing, figures, CONSORT flow, pre-registration, replication archive. Use before submitting a paper, or whenever a draft needs an adversarial, quote-grounded review with a journal-readiness checklist. Add `--codex` to run the same specification independently on Claude and on Codex (GPT-5.6 "Sol") and cross-check the two sets of findings.

Typeset a working paper or journal submission in house-style LaTeX from any draft — Markdown, Word (.docx), TeX, ODT, RTF, or HTML. Convert with pandoc, wrap in an EB Garamond template, build the PDF with latexmk, and prepare for a specific journal (spacing, page limit, anonymization, disclosures, citation style). Use for "format/typeset/convert my paper to LaTeX", "make a working paper", "prepare this for submission to <journal>".

Writes a pre-analysis plan before data collection — registry selection (OSF, AsPredicted, AEA, EGAP), PAP document structure, an analytical strategy specified down to the model and the decision rule, analysis code pre-registered against simulated data, contingency planning for attrition, failed manipulations, and exclusions, deviation documentation, and timeline. Operationalizes the pre-data-collection side of DA-RT. Use when the user asks to write or review a pre-registration or PAP, asks wh...

Launcher and setup wizard for the standalone presubmit CLI, an API-driven adversarial peer-review pipeline of 30-plus stages (Red Team finders, Blue Team defence, verification cascade, legal pass, copyedit) that writes one consolidated review report to disk. Verifies the install and the API key, settles where output lands, picks smoke, standard, or custom mode, launches the run, and reports where the report ended up. Use when the user asks to run presubmit, wants a deep unattended audit of a ...

Operate or audit a live Qualtrics survey via the v3 APIs without breaking fielding — publish gating, quotas, flow routing, embedded data, panel-vendor redirects, read-back verification, and a read-only pre-fielding audit. Use when publishing or patching a fielding instrument, when a quota counts but never blocks, when wiring panel-vendor redirects or flow gates, or when auditing a survey before launch (consent-before-anything gates, force-response completeness, quota and redirect checks, anti...

Organizes and formats an author's response to peer review — extracts every distinct point from the referee reports and the editor's letter, tags severity and type, maps the dependencies so the revision runs in the right order, flags which points the author may want to push back on, and builds the response-to-reviewers letter as a numbered comment → response → location table with the substantive answers left for the author to write. It formats and checks the response; it never writes the scien...

Scaffold or audit a social-science replication package, and audit the manuscript and its archived research objects against the FAIR principles. Scaffold mode writes the folder structure, README, master.R, figure/table crosswalk, codebook template, LICENSE placeholder, .gitignore, and pre-release checklist. Audit mode grades an existing package against that checklist and runs the FAIR block over data, code, materials, prompts, preregistrations, DOIs, metadata, licenses, access restrictions, an...

Interviews a researcher, in rounds, until a research idea, design, or draft has no silently assumed decision left — every question numbered, each with a plain-language "why this matters" and a recommended answer, facts fetched by the assistant rather than asked, and every settled decision written to a file. Three stages, idea (a topic or hunch → a falsifiable question and a contribution claim), design (a question → estimand, identification, sample and power, measurement, pre-registration, ana...

Scaffold or audit an entire research project repository organized around its source library. Use whenever the user is starting, structuring, organizing, or reviewing a whole project — "set up a research repo", "how should I structure/organize this project", "initialize my sources folder", "new paper or literature-review project", "audit my repo structure", "is my sources folder set up right", "check my project layout". Builds the sources spine (original PDFs, tracked Markdown conversions, a d...

Plan a research project as a decision map that outlives any single session — a destination (a defensible, pre-registerable design) reached by resolving decision tickets of four kinds, one at a time. Adapted for research from Matt Pocock's wayfinder. The map lives in the repo as markdown; each session claims one frontier ticket; literature sweeps run as parallel research tickets; the resolved map compiles into a pre-analysis plan. Use at the start of a project, when a design has more open deci...

Spawn full Claude Code peer sessions in their own terminal panes and git worktrees — real sessions, not subagents — each on a directed task with a contract brief, monitored and merged back by the spawning lead. Detects the environment and takes the strongest path — herdr first, then tmux, then a native claude background agent. Use when work must outlive or run beside the current session, needs its own worktree or its own permission settings, should stay steerable by the user in a visible pane...

Audit fielded survey response data for registered elements, data quality, bot and AI-automation screening, and sample integrity. Emits an appendix-ready quality report.

Designs survey instruments — item-specific question wording that avoids acquiescence, double-barreling, and leading language, scale construction (points, labeling, polarity, feeling thermometers, index reliability with Cronbach's alpha and McDonald's omega), flow and ordering with treatment placement and buffer items, pretesting through cognitive interviews and soft launches, respondent burden with attention checks and speeding rules, sensitive questions and social-desirability bias, and trea...

Designs and formats publication-quality tables for social-science manuscripts — column order, row grouping and panels, decimal precision, standard-error versus confidence-interval conventions, self-contained titles and notes, and code-generated output. Use when the user is building or revising a regression table, balance table, descriptive-statistics table, summary table, or robustness table, mentions stargazer, modelsummary, gt, huxtable, kable, pystout, esttab, or booktabs, or asks whether ...

Designs and validates LLM-based text classification for research data — codebook construction, choice of learning regime, model selection and reproducibility, prompt construction, pilot validation against human coding with agreement statistics (kappa, F1), hybrid human-LLM workflows, and reporting model-coded data. Also carries a resumable batch pipeline with a rule-based baseline for coding large sets of repeated free-text values against a closed codebook — occupation, institution, and regis...

Specifies and diagnoses structural topic models for survey and experimental text — choosing among STM, LDA, and BERTopic, preprocessing decisions and their consequences, prevalence and content formulas with spectral initialization and a recorded seed, selecting the topic count across semantic coherence, exclusivity and FREX, held-out likelihood, and residuals rather than one metric, interpretation and validation against representative documents, robustness checks, and DA-RT-compliant reportin...

OCR a scanned or image-only corpus with vision-language models, in three phases — evaluate compares candidate OCR systems against stratified human ground truth and picks one on measured CER/WER; run builds the production pipeline (model selection, image handling, prompts, architecture, batching, accuracy evaluation, reproducibility); clean corrects the raw OCR text with LLM and rule-based passes, quality diagnostics, multilingual handling, and span-level provenance. Use when the question is w...