How do I install the Rt Execution Bridge skill?

Run npx skillmds add thedixitjain/rt-execution-bridge in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Rt Execution Bridge safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Rt Execution Bridge?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Rt Execution Bridge free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Rt Execution Bridge?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Rt Execution Bridge by thedixitjain

Name: Rt Execution Bridge
Rating: 4.2 (5 reviews)
Author: thedixitjain

Rt Execution Bridge

Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Maps the design to the concrete StatsPAI / Stata MCP tools in this environment and reports the fitted, audited number. Defers result placement and house style to the target journal's pack.

thedixitjain c6a6f46 3.0 KB Updated Sep 8, 2026 2 repo stars

File contents

Execution Bridge (rt-execution-bridge)

Close the last mile: turn "you should use a heterogeneity-robust DiD / weak-IV-robust CI / multiple-testing correction" into an actual fitted, audited estimate. Full map + orchestration spine + validated worked-examples (DiD / IV / RDD / synthetic-control / DML): shared-resources/empirical-methods/execution-with-mcp.md.

When to trigger

You have data and a design and need the actual estimate + its diagnostics.
A reviewer objection (real or simulated) needs an executed answer (e.g. "TWFE is biased under staggered adoption" → run Callaway–Sant'Anna + Goodman-Bacon).

The spine (always)

detect_design → preflight / recommend → fit with as_handle=true.
audit_result(result_id) — enumerate the checks the design still owes; run each suggest_function it names.
Design-specific sensitivity from the handle (honest_did_from_result, sensitivity_from_result, evalue_from_result).
bibtex(keys=[…]) for citations — never invent references.

Design → tools (summary; full table in the canonical doc)

Staggered DiD: callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result.
IV: iv + effective_f_test + anderson_rubin_ci (weak-IV-robust).
RDD: rdrobust + rddensity / mccrary_test.
Synthetic control: synth / sdid + placebo inference.
DML / high-dim: dml + dml_diagnostics (overlap) + oster / sensemakr.
Multiple testing / inference: romano_wolf, wild_cluster_bootstrap, twoway_cluster.
Exhibits: etable / did_summary_to_latex straight from the handle.

Hard rules

Run, don't claim — every reported estimate/CI/F/bound traces to a tool call.
bibtex is the only citation source.
Method here, placement there — where the result goes (body vs. appendix, page limit, house table style) is the target pack's skills + official-source-map.md.
Degrade honestly — if StatsPAI/Stata are not connected, adapt the code/ skeleton and flag any unverified number.

Output format

【Design】DiD / IV / RDD / SCM / DML / …
【Estimate】point [CI] (estimator)
【Key diagnostic】(first-stage/effective F, pre-trends p, overlap, placebo p, …)
【Audit gaps run】…
【Magnitude】interpretable units
【Next】rt-submission-readiness / the pack's tables-figures skill

Source: brycewang-stanford/Awesome-Journal-Skills → Research-Toolkit-Skills/skills/rt-execution-bridge/SKILL.md

---name: rt-execution-bridgedescription: Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Maps the design to the concrete StatsPAI / Stata MCP tools in this environment and reports the fitted, audited number. Defers result placement and house style to the target journal's pack.---# Execution Bridge (rt-execution-bridge)Close the last mile: turn "you should use a heterogeneity-robust DiD / weak-IV-robust CI /multiple-testing correction" into an actual fitted, audited estimate. Full map +orchestration spine + validated worked-examples (DiD / IV / RDD / synthetic-control / DML):[`shared-resources/empirical-methods/execution-with-mcp.md`](../../../shared-resources/empirical-methods/execution-with-mcp.md).## When to trigger- You have data and a design and need the actual estimate + its diagnostics.- A reviewer objection (real or simulated) needs an executed answer (e.g. "TWFE is biased under staggered adoption" → run Callaway–Sant'Anna + Goodman-Bacon).## The spine (always)1. `detect_design` → `preflight` / `recommend` → fit with `as_handle=true`.2. `audit_result(result_id)` — enumerate the checks the design still owes; run each `suggest_function` it names.3. Design-specific sensitivity from the handle (`honest_did_from_result`, `sensitivity_from_result`, `evalue_from_result`).4. `bibtex(keys=[…])` for citations — never invent references.## Design → tools (summary; full table in the canonical doc)- **Staggered DiD:** `callaway_santanna` / `sun_abraham` + `bacon_decomposition` + `honest_did_from_result`.- **IV:** `iv` + `effective_f_test` + `anderson_rubin_ci` (weak-IV-robust).- **RDD:** `rdrobust` + `rddensity` / `mccrary_test`.- **Synthetic control:** `synth` / `sdid` + placebo inference.- **DML / high-dim:** `dml` + `dml_diagnostics` (overlap) + `oster` / `sensemakr`.- **Multiple testing / inference:** `romano_wolf`, `wild_cluster_bootstrap`, `twoway_cluster`.- **Exhibits:** `etable` / `did_summary_to_latex` straight from the handle.## Hard rules1. **Run, don't claim** — every reported estimate/CI/F/bound traces to a tool call.2. **`bibtex` is the only citation source.**3. **Method here, placement there** — where the result goes (body vs. appendix, page limit, house table style) is the target pack's skills + `official-source-map.md`.4. **Degrade honestly** — if StatsPAI/Stata are not connected, adapt the `code/` skeleton and flag any unverified number.## Output format```【Design】DiD / IV / RDD / SCM / DML / …【Estimate】point [CI] (estimator)【Key diagnostic】(first-stage/effective F, pre-trends p, overlap, placebo p, …)【Audit gaps run】…【Magnitude】interpretable units【Next】rt-submission-readiness / the pack's tables-figures skill```---**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Research-Toolkit-Skills/skills/rt-execution-bridge/SKILL.md`

Frequently asked questions