Toolverse
All skills

log-focus-debug

by solidSpoon

DashPlayer 日志聚焦调试技能。Use when developers ask to reduce noisy logs, focus on one feature log chain, add temporary focus markers (e.g. [FOCUS:token]), or clean up temporary debug logs after task completion. Triggers on: \

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Category
Testing
Views
1

About this skill

DashPlayer 日志聚焦调试技能。Use when developers ask to reduce noisy logs, focus on one feature log chain, add temporary focus markers (e.g. [FOCUS:token]), or clean up temporary debug logs after task completion. Triggers on: \

How to use

  1. Zdefiniuj token debugowania w formacie nazwa-funkcji-data, na przykład player-speed-20260207, który będzie identyfikować Twoją sesję debugowania.

  2. Włącz filtrowanie w pliku .env, ustawiając DP_LOG_LEVEL=debug, VITE_DP_LOG_LEVEL=debug, a następnie DP_LOG_FOCUS_TOKEN=player-speed-20260207 i VITE_DP_LOG_FOCUS_TOKEN=player-speed-20260207 (zastąp wartością swojego tokena).

  3. Opcjonalnie dodaj filtr modułów, jeśli chcesz zawęzić logi do konkretnych komponentów, ustawiając DP_LOG_INCLUDE_MODULES=PlaybackService,SpeedSlider i VITE_DP_LOG_INCLUDE_MODULES=SpeedSlider.

  4. Wstrzyknij tymczasowe logi fokusa do kodu, używając getMainLogger('ModuleName').withFocus('player-speed-20260207') dla procesu głównego lub getRendererLogger('ModuleName').withFocus('player-speed-20260207') dla renderera, a następnie wywołaj debug() z wiadomością.

  5. Uruchom aplikację i sprawdź konsolę — powinny pojawić się tylko logi z Twoim tokenem, bez szumu z innych części systemu.

  6. Po zakończeniu debugowania wyszukaj wszystkie withFocus() i [FOCUS:token] w kodzie za pomocą grep lub ripgrep, usuń tymczasowe markery, a następnie zacommituj czysty kod bez śladów debugowania.

Related skills

langchain

by zechenzhangAGI

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering

Testing
21123

creating-financial-models

by anthropics

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

Testing
25137

hono

by openstatusHQ

Efficiently develop Hono applications using Hono CLI. Supports documentation search, API reference lookup, request testing, and bundle optimization.

Testing
1257

webapp-testing

by anthropics

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Testing
130255

pair-trade-screener

by tradermonty

Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair

Testing
994

textual

by KyleKing

Expert guidance for building TUI (Text User Interface) applications with the Textual framework. Invoke when user asks about Textual development, TUI apps, widgets, screens, CSS styling, reactive programming, or testing Textual applications.

Testing
69192