61 tagged predictive modeling, measured the same way as everything else here.
Browse within: github 59gitlab 59security-tools 59
retentioneering/retentioneering-tools
Skill Claude CodeCodex
Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal reproductions and issue drafts, to preparing, testing, and submitting a pull request that follows this repository's…
retentioneering/retentioneering-tools
Skill Claude CodeCodex
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user, event, and timestamp columns, or asks…
Skill Claude CodeCodex
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or…
Skill Claude CodeCodex
Builds Nango Functions in a checked-out Zero YAML TypeScript Nango project using local files, index.ts registration, nango dryrun, generated tests, and optional nango deploy via CLI. Use when creating, updating, validating, testing, or deploying Nango actions or syncs locally in a repo. This content overlaps with…
Skill Claude CodeCodex
Builds Nango Functions without a checked-out Nango project by using the Nango /functions compile, dryrun, dryrun status, and deployment APIs with NANGOSERVERURL and NANGOSECRETKEY. Use when creating, updating, validating, testing, or deploying Nango actions or syncs remotely via API or single-file payloads. This…