Results for “log-source-onboarding”

Generates four audience-tailored onboarding guides in an onboarding/ folder — Contributor, Staff Engineer, Executive, and Product Manager. Use when the user wants onboarding documentation for a codebase.

Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors, with fast fact-gathering and repeatable outputs.

Generates a comprehensive developer onboarding guide from a codebase, covering tech stack, setup, architecture, conventions, and troubleshooting.

Codebase Onboarding

Codebase Onboarding

Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

First-contact orientation for an unfamiliar codebase. Use when "I'm new to this repo", "orient me", "explain this codebase", "what does this do?", "onboard me", "first day on this project", or "catch me up on the codebase".

Guides a developer through first steps on Google Cloud, including account setup, authentication, project creation, and billing linkage.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md.

Full project analysis for an unfamiliar Sage/Acorn/Lando project — discovers CPTs, routes, ACF field groups, Livewire components, Service Providers, active plans, installed packages; produces a structured project overview with health status and recommended next steps. Invoke for: "/onboarding", "I'm new to this project", "what does this project do", "show me what exists", "project overview", "orient me to this codebase", "what exists in this project". Skip when: you already know the project — the session-start hook already provided basic stack info; invoke the target skill directly instead.

First-time onboarding — asks where you are, then guides you to the right workflow. No assumptions.

Practical codebase onboarding for Nick's workflow. Use when opening a stale project, picking up a new repo, rebuilding context after time away, or generating fast markdown docs that explain how to start working on a codebase right now. Focus on setup, key files, flows, commands, risks, and what to touch first.

Onboard

Loki is a horizontally scalable log aggregation system built by Grafana Labs. Unlike traditional log platforms that index the full text of every log line, Loki indexes only metadata labels, making it significantly cheaper to operate. It integrates natively with Grafana for querying and visualization, and uses LogQL — a query language inspired by PromQL — to filter, parse, and aggregate log streams.

ade-ops setup — START HERE on a fresh clone. Scenario-aware onboarding for Databricks with Power BI and/or Microsoft Fabric.

Configure Fluentd and Fluent Bit for centralized log aggregation, routing, filtering, and enrichment across distributed infrastructure.

Onboard a new small-business owner — connect their first two tools, run one recipe, interview them, store context, and set a weekly check-in.

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

Use when sources must stay traceable across sessions and years, when each reference needs a passport recording where it was found, how it was verified, and where it is cited, or when a draft needs a cited-but-unverified sweep before submission.

Guía a un usuario nuevo a través de un ciclo SDD completo, aplicando un cambio real en su proyecto para aprender haciendo.

Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

Skill for the Onboarding area of paddock. 41 symbols across 7 files.

Use when taking over an existing codebase that has no living document. Produces a factual record of what already exists.

Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous improvement. Activate on "skill logging", "skill quality", "skill analytics", "skill scoring", "skill performance", "skill metrics", "track skill usage", "skill improvement". NOT for creating skills (use agent-creator), skill documentation (use skill-coach), or runtime debugging (use debugger skills).

Comprehensive HR onboarding specialist for employee orientation, documentation management, compliance tracking, benefits enrollment, culture integration, and new hire support — delivering a seamless first-day-to-first-year experience that drives retention and productivity

Logging in Acorn/WordPress — Log::debug(), Log::error(), Log::channel(), custom log channels, daily log files, stack channel, Slack log notifications, exception handling logging, WordPress debug.log integration, WP_DEBUG_LOG, structured logging, context arrays, monolog handlers, log levels, emergency info warning error debug, lando logs, lando ssh tail log

Builds a reusable writing style profile from real source material and applies it across content, outreach, and social workflows for consistent brand voice.

debug-logging

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.

Generates a three-screen mobile onboarding flow with splash, value proposition, and sign-in screens displayed side by side.

从真实的帖子、文章、发布说明、文档或网站文案中构建基于源材料的写作风格档案，然后在内容、外展和社交工作流中重复使用该档案。当用户希望保持声音一致性而不使用通用的AI写作套路时使用。

Patterns for running AI models locally in browsers using WebGPU, Transformers.js, WebLLM, and ONNX Runtime. Zero API costs, full privacy. Use when "on-device AI, browser AI, WebLLM, Transformers.js, WebGPU, edge inference, offline AI, client-side ML, ONNX web, " mentioned.

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.