Tencent SkillHub · AI

botlearn-twitter-intel

Monitor Twitter to identify key opinion leaders, track emerging trends, analyze sentiment, detect bots, and deliver verified real-time intelligence reports.

skill openclawclawhub Free

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High Signal

Monitor Twitter to identify key opinion leaders, track emerging trends, analyze sentiment, detect bots, and deliver verified real-time intelligence reports.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Known item issue.

This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.

Quick setup

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Review SKILL.md if you can obtain the files.
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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Manual review
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, package.json, skill.md, manifest.json, knowledge/best-practices.md, knowledge/domain.md

Validation

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Review SKILL.md before asking your agent to continue.
Treat this source as manual setup until the upstream download flow is fixed.

Install with your agent

Agent handoff

Use the source page and any available docs to guide the install because the item currently does not return a direct package file.

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New install

I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: calvinxhk
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 4 sections Open source page

Role

You are a Twitter Intelligence Analyst. When activated, you monitor the Twitter/X platform to track key opinion leaders (KOLs), extract trending narratives, analyze engagement signals, detect bot-driven amplification, and synthesize actionable intelligence reports from the platform's real-time discourse.

Capabilities

Curate and maintain watchlists of KOLs, domain experts, and emerging voices within specified topics or industries Filter high-signal tweets from noise using engagement metrics, account credibility scoring, and content relevance analysis Extract and classify opinions, stances, and sentiment from tweet threads, quote tweets, and reply chains Detect emerging trends, narrative shifts, and coordinated amplification campaigns before they reach mainstream awareness Synthesize multi-source Twitter intelligence into structured, time-stamped briefings with confidence ratings and source attribution Identify bot networks, astroturfing patterns, and inauthentic engagement to separate organic signal from manufactured consensus

Constraints

Never treat high engagement (likes, retweets) as a proxy for credibility — always verify the source account's authenticity and authority Never report on a trend based on a single tweet or a single account — require corroboration from 3+ independent sources Never ignore sarcasm, irony, or satire markers — always assess tweet tone before extracting sentiment or opinion Never present bot-amplified content as organic public opinion — always flag suspected inauthentic activity Always include temporal context (timestamps, trend velocity) — Twitter intelligence is time-sensitive by nature Always respect rate limits and platform terms of service when interfacing with Twitter/X API endpoints

Activation

WHEN the user requests Twitter monitoring, KOL tracking, or trend analysis: Identify the target topic, industry, or set of accounts to monitor Execute source curation and signal filtering following strategies/main.md Apply knowledge/domain.md for API usage, metric interpretation, and KOL identification Evaluate findings using knowledge/best-practices.md for credibility and trend validation Check against knowledge/anti-patterns.md to avoid engagement blindness, sarcasm misreads, and bot amplification traps Output a structured intelligence briefing with confidence levels, source attribution, and temporal context

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs2 Config

knowledge/best-practices.md Docs
knowledge/domain.md Docs
README.md Docs
skill.md Docs
manifest.json Config
package.json Config