Results for “growth-log”

Log workouts, plan routines, track progress, and get intelligent coaching for any fitness level.

Standards for structured logging and observability in Golang. Use when adding structured logging or tracing to Go services.

Generates and maintains CHANGELOG.md files following Keep a Changelog conventions — from git history, commit messages, or a description of changes. Use when asked to write a changelog, update release notes, or document what changed in a version.

Creates or updates CHANGELOG.md following the Keep a Changelog 1.1.0 format. Use this skill when the user asks to "update the changelog", "generate changelog", "add changelog entry", "create CHANGELOG.md", "sync changelog with tags", or wants to document project changes based on git tags and commit history.

debug-logging

Analyzes git commit history and generates structured changelogs categorized by change type.

Generate changelogs from git history and validate conventional commits. Usage: /changelog <generate|lint> [options]

当需要建立结构化的每日例行程序，以支持不同阶段的个人成长目标时

Investigate a problem, log it to the debug changelog, cross-check past issues, and suggest a non-duplicate fix.

Generates a single unified changelog from git history, written in plain language for the whole company, defaulting to Slovak and comparing the release branch against develop for unreleased changes.

当需要将个人学习、成长与价值创造整合为一个持续发展的系统时

CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Four modes: SCOPE EXPANSION (dream big), SELECTIVE EXPANSION (hold scope + cherry-pick expansions), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials). Use when asked to "think bigger", "expand scope", "strategy review", "rethink this", or "is this ambitious enough". Proactively suggest when the user is questioning scope or ambition of a plan, or when the plan feels like it could be thinking bigger. (gstack)

Search and analyze your own session logs (older/parent conversations) using jq.

AutoAugment: Learning Augmentation Strategies from Data

Diagnose Apex behavior with debug logs, structured production logging, and async job monitoring, replacing ad-hoc System.debug habits with durable, queryable observability.