140 tagged causal-inference, measured the same way as everything else here.
Browse within: econometrics 97academic-writing 57economics 42claude-code-skills 41difference-in-differences 20academic-research 19did 19data-analysis 18aer 15agent-teams 15american-economic-review 15monte-carlo 15python-package 15agent-memory-system 13
pedrohcgs/claude-code-my-workflow
Skill Claude CodeCodex
Enforce the replication-protocol.md rule by cross-checking numeric claims in a manuscript against the actual R / Stata / Python outputs. Report PASS/FAIL per claim against tolerance thresholds. Use before submission and before releasing a replication package.
pedrohcgs/claude-code-my-workflow
Skill Claude CodeCodex
Snapshot the computational environment for a replication package — detects the analysis stack (R / Stata / Python) and emits the right lockfiles (renv.lock + sessionInfo.txt, requirements.txt / environment.yml / uv.lock, Stata version + ado package list), records seeds and RNG kind, optionally writes a pinning…
pedrohcgs/claude-code-my-workflow
Skill Claude CodeCodex
Root-cause a failing or wrong empirical result with a disciplined reproduce → minimise → hypothesise → instrument → fix loop, instead of guessing-and-poking. Use when the user says "why is my regression wrong", "this number changed", "my script errors out", "the result won't reproduce", "debug this", "this estimate…
Skill Claude CodeCodex
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness…
Skill Claude CodeCodex
An end-to-end workflow for economics and finance research, from a research idea to a paper PDF ready for submission. It covers literature review, idea and data checks, study design, data work, writing, charts, review, and LaTeX compilation.
Skill Claude CodeCodex
Compile LaTeX to PDF and convert to target journal format.
Skill Claude CodeCodex
Generate academic-quality figures (>=300 DPI) for economics and finance papers.
Skill Claude CodeCodex
Artifact handoff protocol for two-pipeline architecture.
Skill Claude CodeCodex
Core orchestration protocol for StatsClaw agent teams framework.
Skill Claude CodeCodex
Centralized workflow log repository sync.
Skill Claude CodeCodex
Set up automation — prospective memory triggers, neuro-symbolic rules, and CLAUDE.md sync. Use when the user says 'remind me when', 'trigger when', 'create a rule', 'auto-remember', 'sync to CLAUDE.md', 'push insights', 'set up trigger', 'when I open this file', 'when this keyword appears', or when you want to…
Skill Claude CodeCodex
Debug and fix memory system issues — validate memories, rate quality, manage protection, forget bad memories, and restore from checkpoints. Use when the user says 'fix memory', 'bad memory', 'wrong memory', 'delete this', 'protect this', 'this memory is wrong', 'memory quality', 'rate this memory', 'restore…
Skill Claude CodeCodex
Navigate the knowledge graph — trace entity relationships, explore causal chains, drill into memory clusters, and traverse co-access paths. Use when the user asks 'how are these related', 'what connects X to Y', 'show me the knowledge graph', 'trace the relationship', 'what caused X', 'drill down into', 'explore…
Skill Claude CodeCodex
Causal memory for agents — install/setup the causal-memory MCP server, then record decisions/outcomes and recall them before acting. Trigger when the user asks to install or set up causal-memory/agent memory, when causal-memory MCP tools are available and the agent faces a non-trivial decision (architecture, debugging…
Skill Claude CodeCodex
Use when selecting, implementing, or stress-testing the causal identification strategy for an empirical economics manuscript — difference-in-differences (including staggered designs), instrumental variables (including weak-IV-robust inference), regression discontinuity, synthetic control, or shift-share / Bartik.…
Skill Claude CodeCodex
Use when drafting or revising the body sections of an AER, AER:Insights, or AEJ manuscript — institutional background, data, empirical strategy, results, mechanisms, and conclusion. Covers equation conventions, results-paragraph narration, magnitude interpretation, and back-of-envelope policy calculations. Apply after…
Skill Claude CodeCodex
Use when responding to a Revise & Resubmit decision from AER, AER:Insights, or an AEJ, and a point-by-point response letter plus aligned manuscript revisions are needed. Handles triage, the concede / clarify / push-back decision, and the response-letter format that editors actually read.
brycewang-stanford/Paper-WorkFlow
Skill Claude CodeCodex
A staged workflow for producing an evidence-based economics or social-science research paper, from choosing a topic through submission. It coordinates existing tools and analysis options, including Python, Stata, and R.
Skill Claude CodeCodex
Use this skill when planning or reviewing data cleaning for empirical research. Given a variable list and data dictionary, it drafts a cleaning plan; checks whether a merge/join is sound (1:1 vs m:1, key name/case/type/leading-zero consistency, expected match rate); explains the differences among missing-value…
Skill Claude CodeCodex
Use this skill when reading, interpreting, or writing up regression results. Given a regression table and variable definitions, it explains each coefficient in plain language with correct direction, magnitude and units; reads log-level, log-log and standardized coefficients correctly (semi-elasticity / elasticity /…
Skill Claude CodeCodex
Use this skill to turn a data-analysis run into reproducible records. Given the scripts you ran, the data you used and the outputs you got, it drafts a reproduction log (input data → processing script → output), a variable-construction note, a sample-selection log (row counts at each filter), a results explanation and…
jayjeo/econometrics-phd-level-skill
Skill Claude CodeCodex
A guide to econometrics, the use of statistics to study relationships in data, based on a 12-part Korean lecture series. It routes questions to explanations of topics such as regression, panel data, instrumental variables, and causal comparisons.
Skill Claude CodeCodex
Use when computing, transforming, cleaning, joining, merging, aggregating, reshaping, or modeling ANY result from data — before you trust a number, a table, a model metric, or a chart. Establishes data contracts and invariants up front, validates assumptions before building on them, asserts join cardinality before…
Skill Claude CodeCodex
Use when the deliverable is a DESCRIPTION of what's in the data rather than an effect, a counterfactual, or a prediction — stylized facts, trends ("what's the trend in X", "how has Y changed over time", "plot the growth"), summary-statistics/Table-1 tables, distributions, descriptive maps/choropleths ("map where X is…