Takes web search results and formats them as polished Slack messages, digests, or thread summaries ready to post to channels. Use when the user wants to research a topic and share findings on Slack. Trigger with phrases like "research and post to Slack", "create a Slack digest", "summarize and share in #channel", or "format search results for Slack".
Research topics and format findings as Slack-ready messages, digests, and threaded summaries.
This skill automates the workflow of researching a topic via web search and formatting the results into a well-structured Slack message. Instead of manually searching, reading articles, summarizing key points, and formatting them with Slack's Block Kit syntax, this skill handles the entire pipeline. It produces messages that use Slack-native formatting -- bold headers, bulleted lists, linked sources, dividers, and emoji markers -- so the output can be pasted directly into a Slack channel or sent via the Slack API.
The skill is designed for recurring team communication patterns: weekly technology digests, security vulnerability alerts, competitive intelligence updates, and ad-hoc research sharing. It supports single-message summaries, multi-part thread formats for longer research, and scheduled digest templates that can be reused each week.
Specify the research topic and target channel:
Choose the output format (optional -- defaults to single message):
Customize the output (optional):
Review and post the output:
curl command to post via Slack webhookThe skill generates Slack-formatted content in one or more of these forms:
*bold*, _italic_, > blockquotes, bullet lists, and <url|link text> hyperlinks. Ready to paste directly into Slack.chat.postMessage API.curl command that posts the message to a Slack incoming webhook URL (the user provides the webhook URL).User: "Research AI coding assistant news from this week and create a digest for #engineering."
The skill will:
Output format:
*Weekly AI Coding Digest* -- March 10-17, 2026
*TL;DR:* Claude 4.5 launched with 1M context, GitHub Copilot added workspace agents, and new research shows 40% productivity gains with AI pair programming.
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*New Releases*
- *Claude 4.5 Opus* -- Anthropic's latest model with extended thinking and 1M context window. <https://anthropic.com/news|Read more>
- *Copilot Workspace Agents* -- GitHub introduced autonomous coding agents. <https://github.blog|Read more>
*Research*
- *AI Pair Programming Study* -- Stanford study shows 40% completion time reduction. <https://arxiv.org/...|Paper>
_5 sources | Compiled March 17, 2026_
User: "Search for critical CVEs in Node.js from the last week, format as a Slack alert for #security."
The skill will:
User: "Research what our competitors shipped this month and create a Slack thread for #product."
The skill will:
&, <, >) that could break rendering.