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Agent Hooks in VS Code let you enforce policies, run checks, and guide Copilot at key moments during a session. Instead of repeating prompts, you can program how agents behave in your workflow. Learn how hooks work and when to use them.

54,832 просмотров • 7 месяцев назад •via X (Twitter)

Комментарии: 10

Фото профиля Sadi Moodi
Sadi Moodi7 месяцев назад

Agent hooks are the real deal. I've been using them to enforce pre-commit checks before Copilot can write anything. Key pattern: validate schema, run lint, block on failed tests. Game changer for team consistency.

Фото профиля DᖇIØL 💻
DᖇIØL 💻7 месяцев назад

How do you handle CSS specificity issues? Share your tips!! #webdev #css

Фото профиля Michael Ramos
Michael Ramos7 месяцев назад

@21jordantaylor call me captn

Фото профиля XavSecOps
XavSecOps7 месяцев назад

Program the workflow, not the prompt. Game changer.

Фото профиля Monkeys
Monkeys7 месяцев назад

@davetweetlive

Фото профиля CatGod
CatGod7 месяцев назад

**Will customers use AI if it suggests actions that violate their policies?** Hooks can teach Copilot ethical and effective behaviors. Teams might adopt far more. Send in the hook!

Фото профиля Vitalii Khomenko
Vitalii Khomenko7 месяцев назад

I burned a bunch of tokens with replays because you can't solve the fucking connection interruption setting... OPUS 4.6 isn't working.

Фото профиля Haseeb Mir
Haseeb Mir7 месяцев назад

Finally, we can codify guardrails & best practices right into Copilot instead of copy-pasting prompts every time. Super excited to play with Agent Hooks. #GitHubCopilot #AgentHooks #DevTools

Фото профиля 鬼谷中妖
鬼谷中妖7 месяцев назад

@grok 帮我分析上述文字,并以中文返回

Фото профиля HaileyJohnsonCharts
HaileyJohnsonCharts7 месяцев назад

ngl this is cool tech but kinda off-topic for me rn... back to watching markets lol

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Andrew Ng

127,724 просмотров • 1 год назад

THIS IS F*CKING INSANE Anthropic turned Agent Skills into an open spec and GitHub filled up with ready-made Claude Code teams for free one of these repos alone ships 135 agents, 35 skills, 42 commands, 176+ plugins and 20 hooks. another hands you 100+ specialized subagents. none of it costs anything 10 GitHub projects you should open first: 01 wshobson/agents → a plugin marketplace that installs the same agents into Claude Code, Codex, Cursor and Copilot, so your setup survives switching tools 02 VoltAgent/awesome-claude-code-subagents → 100+ specialized subagents covering most of what a normal engineering week throws at you 03 rohitg00/awesome-claude-code-toolkit → 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks and 14 MCP configs in one place 04 anthropics/skills → the official Agent Skills repo. start here to see the shape of a working SKILL.md before you copy anyone else's 05 netresearch/claude-code-marketplace → curated skills on an open standard, portable across Claude Code, Cursor, Copilot, Codex, Gemini CLI and 30+ other agents 06 disler/claude-code-hooks-mastery → the hooks reference. this is where you learn to make the agent stop on your rules instead of stopping to ask you 07 karanb192/claude-code-hooks → an installable hooks marketplace split into safety, cost, observability and productivity 08 affaan-m/claude-swarm → multi-agent orchestration that decomposes the task, coordinates the agents and shows the whole run in a terminal UI 09 am-will/swarms → orchestration shipped as skills, so the coordination loads only when the job actually calls for it 10 eugeniughelbur/obsidian-second-brain → persistent memory as plain markdown in an Obsidian vault, shared across Claude Code, Codex and six other agents give the first team a job with an obvious finish line: one reviewed PR, one researched brief, one failing test turned green then look at how much of that output you actually kept, and what it cost to produce. a bigger roster earns its place when it moves that number the download is free. paying four agents to repeat the same investigation is not save this before you spend another weekend building a config that already exists the article below shows how to keep context small, reuse finished work and contain retries, so more of your budget reaches the finished result ↓

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