aiopshwang

aiopshwang/goal-to-proof

Plugin Claude Code

Official marketplace for the Goal to Proof AI agent skill.

aiopshwang/goal-to-proof

Plugin Claude Code

Finish authorized, non-trivial AI agent work with direct, scope-matched evidence.

aiopshwang/goal-to-proof

Skill Claude CodeCodex

Finish authorized, non-trivial work and prove the requested outcome. Use when a deliverable has dependent steps, integration boundaries, or a risk of stopping at a plan, partial artifact, isolated component, or proxy check, or when the cause, solution path, or proof boundary of a consequential problem is genuinely…

aiopshwang/data-analysis-ml-agent-skills

Plugin Claude Code

Evidence-first data analysis and ML skills for AI coding agents.

aiopshwang/data-analysis-ml-agent-skills

Plugin Claude Code

Evidence-first AI agent skills for reliable data analysis, machine learning, and reproducible model validation.

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Audit datasets, joins, labels, and ground truth before analysis or modeling. Use when data meaning, row grain, time semantics, source-of-truth reliability, or label construction may invalidate conclusions; not for general model evaluation after the evidence base is already trusted.

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Design leakage-safe machine learning experiments that mirror real deployment and support fair model comparisons. Use when defining prediction timing, feature eligibility, train-validation-test splits, baselines, metrics, or controlled model iterations; not for auditing whether raw labels are trustworthy.

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Isolate the root cause of ML performance drops, inconsistent evaluations, prediction errors, and training-serving mismatches across data, labels, splits, pipelines, models, metrics, and runtime behavior. Use when investigating a reproducible failure or regression, not routine model selection or general performance…

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Orchestrate an end-to-end data analysis or machine learning project from decision framing through reproducible handoff. Use when a request spans multiple lifecycle stages or an ambiguous modeling request must become a decision-ready result; use narrower audit or experiment-design skills for isolated reviews.

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Package completed data analysis and ML work so an independent recipient can reproduce the claimed results, verify artifact lineage, and operate the handoff within its stated scope. Use when finalizing a project, study, model package, or review bundle; not for deploying to a live system.

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Route data analysis and machine learning work to the right skill in this suite. Use when starting any analysis, modeling, validation, or reproducibility task and the matching specialized skill is not yet clear; not needed when one specific skill already clearly applies.

aiopshwang/data-analysis-ml-agent-skills

Skill Claude CodeCodex

Validate trained models and analytical claims against their intended decision, independent evidence, and human-reviewed ground truth. Use when reviewing model performance, analysis conclusions, launch claims, or evaluation reports; use failure diagnosis instead when the main task is locating a known defect.

aiopshwang/ship-mobile-app

Skill Claude CodeCodex

Build, change, debug, and prepare production mobile apps across domain meaning, local and server state, lifecycle, platform, and release boundaries. Use for non-trivial Flutter, React Native, iOS, or Android work involving persistence, sync, auth, offline behavior, notifications, permissions, native integrations…

aiopshwang/verify-regression-tests

Skill Claude CodeCodex

Verify that a regression test actually detects the defect it claims to guard against. Use after adding or reviewing a bug-fix guard, reproducing the original failure after a fix, or investigating a suspiciously green regression test. Do not use for general TDD, broad test-suite audits, mutation-score optimization…