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hongbietcode AI Skills

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Explorez les skills IA publiés de hongbietcode et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

16

Étoiles des dépôts des skills indexés

28

Forks du dépôt

0

Moyenne des étoiles par skill indexé

2

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

16 skills

Explorer

GitHub

project-memory-recall

hongbietcode

Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use bo...

GitHub

chrome-devtools

hongbietcode

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automa...

GitHub

llm-apps-creator

hongbietcode

This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for initializing any LLM provider (OpenAI, Anthropic, Google, xAI), building agent loops with to...

GitHub

tmux-team-creator

hongbietcode

This skill should be used when users want to create a multi-agent tmux team for their project. It provides battle-tested templates for setting up autonomous AI agent teams that collaborate via tmux. Use this sk...

GitHub

prompting

hongbietcode

PROACTIVE: This skill SHOULD BE USED AUTOMATICALLY when writing prompts, system prompts, crafting instructions for LLMs, or optimizing AI interactions. Triggers on: write prompt, system prompt, prompt engineeri...

GitHub

power-agent-creator

hongbietcode

This skill should be used when users want to create powerful AI agents comparable to Claude Code or sonph-code. It provides battle-tested system prompts, masterfully-crafted tool implementations, and the simple...

GitHub

quick-research

hongbietcode

This skill should be used when users need comprehensive research on a topic requiring exploration of multiple sources, synthesis of findings, and a well-structured report with citations. Use for complex researc...

GitHub

project-memory-store

hongbietcode

Store project-specific insights and context into file-based memory. Use after completing tasks that reveal important details about THIS codebase. Use when user says "--project-store" or "--learn" (you decide wh...

GitHub

planning

hongbietcode

Use when you need to plan technical solutions that are scalable, secure, and maintainable.

GitHub

coder-memory-recall

hongbietcode

Retrieve universal coding patterns from vector database using true two-stage retrieval. Auto-invokes before complex tasks or when user says "--recall". Searches relevant role collections based on task context.

GitHub

brainstorming

hongbietcode

Collaborative solution brainstorming with brutal honesty, multi-approach analysis, principle-driven recommendations. Use for ideation, architecture decisions, technical debates, feature exploration, problem-sol...

GitHub

coder-memory-store

hongbietcode

Store universal coding patterns into vector database. Auto-invokes after difficult tasks with broadly-applicable lessons. Trigger with "--store" or when user expresses frustration (strong learning signals). Use...

GitHub

cc-hooks-creator

hongbietcode

This skill should be used when users want to create, configure, or debug Claude Code hooks. Hooks are shell commands that execute at various points in Claude Code's lifecycle (PreToolUse, PostToolUse, Stop, Ses...

GitHub

project-memory-recall

hongbietcode

Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use bo...

GitHub

project-memory-store

hongbietcode

Store project-specific insights and context into file-based memory. Use after completing tasks that reveal important details about THIS codebase. Use when user says "--project-store" or "--learn" (you decide wh...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.