Results for “ec”

Configure PHP ecosystem tooling, dependency management, and static analysis. Use when managing Composer dependencies, running PHPStan, or configuring PHP build tools.

Complete MCP ecosystem — native client configuration, mcporter CLI, ACP subagent integration (Cursor, Claude Code), MCP server mode, and application-specific MCP integrations.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Use when collecting sorted UID lists from EDirect query sources such as PubMed queries, explicit IDs, WebEnv history state, or input files.

Triggers a code-review subagent after tasks, features, or before merging to catch issues early.

The Supreme Verifier for the Synthetic Economy. Autonomous inspection of code, contracts, and capital flows. Ensuring truth in an era of infinite generation.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

Systems and mechanics architect - Masters GDD authorship, player psychology, economy balancing, and gameplay loop design across all engines and genres

Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.

Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt + WeightIt + cobalt + ebal + grf + DoubleML + mediation + marginaleffects + modelsummary + kableExtra + gt + ggplot2 + ggpubr + cowplot + binsreg. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step R pipeline an applied economist runs on every paper — (1) data import & cleaning (read_dta/read_csv, naniar, janitor, validate-merges), (2) variable construction (mutate/across/winsorize/group_by + lag/lead with dplyr), (3) descriptive

Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step pipeline an applied economist or quantitative social scientist runs on every paper — (1) data cleaning, (2) variable construction & transformation, (3) descriptive statistics & Table 1, (4) statistical diagnostic tests, (5) baseline empirical modeling, (6) robustness battery, (7) further analysis (mechanism, heterogeneity, mediation, moderation), (8) publication-ready tables & figures. **Also covers two parallel domain modes that share the same 8-step scaf

Executes a written implementation plan in batches, pausing between batches for review and feedback.

Creates isolated git worktrees with smart directory selection and safety verification before starting feature work.

Builds distinctive, production-grade frontend interfaces with bold aesthetics, avoiding generic AI design patterns.

Explains cryptographic primitives and provides Python implementations for encryption, hashing, key exchange, and digital signatures.

Reference for AWS services, architecture patterns, and Well-Architected Framework implementation.

Automate Remarkety e-commerce marketing operations through Composio's Remarkety toolkit via Rube MCP.

Creates, edits, and analyzes spreadsheet files using pandas and openpyxl, with formula recalculation via LibreOffice.

Use when creating new skills, editing existing skills, or verifying skills work before deployment.

Connects Claude to 1000+ apps via Composio to send emails, create issues, post messages, and update databases.

Manages the ABA and ABC board games, drawing numbered boards and enforcing win conditions.

Crea nuevas skills para el ecosistema siguiendo el estándar Agent Skills, con template, estructura de carpetas y registro automático.

Apply strict-mode Bash scripting conventions: minimal validation, concise logic, executable scripts, and no unnecessary comments or echoes.

Use when ETABS integration, API development, or data synchronization is needed. This agent specializes in ETABS connectivity within the IntegrateForge AI ecosystem.

Use when Revit integration, API development, or data synchronization is needed. This agent specializes in Revit connectivity within the IntegrateForge AI ecosystem.

Use when Aconex integration, API development, or data synchronization is needed. This agent specializes in Aconex connectivity within the IntegrateForge AI ecosystem.

Use when CostX integration, API development, or data synchronization is needed. This agent specializes in CostX connectivity within the IntegrateForge AI ecosystem.

Use when Candy integration, API development, or data synchronization is needed. This agent specializes in Candy connectivity within the IntegrateForge AI ecosystem.

Use when STAAD integration, API development, or data synchronization is needed. This agent specializes in STAAD connectivity within the IntegrateForge AI ecosystem.

Use when SWMM integration, API development, or data synchronization is needed. This agent specializes in SWMM connectivity within the IntegrateForge AI ecosystem.

Econometrics skill for Synthetic Control Method (SCM). Activates when the user asks about "synthetic control", "SCM", "placebo test", "synthetic DID", "合成控制", "安慰剂检验", "合成反事实", "合成DID".

Routes documents in the psychological counseling domain to the appropriate family skill based on methodological terms and task goals.

Adds concise Chinese comments to C++ code snippets, inferring meaning from variable and function names while preserving the original code structure.

Quizzes users on Information Retrieval concepts, including Elasticsearch architecture and probabilistic models like BM25, with concise feedback.

Guides technical evaluation of code review feedback, emphasizing verification before implementation and reasoned pushback over performative agreement.