Real Time Sentiment Tracking On Twitter For Brand Improvement And Trend Recognition
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Supply asset profile
Data, BI, and analytics
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition
Maintenance
stale
6y since push
Risk
Needs review
Repository appears stale
GitHub quality
316
51/100 quality · 73/100 trust
Coverage tags
Review notes
Repository appears stale · Repository looks stale
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
316 GitHub stars
Repo activity
316 stars, 126 forks
Maintenance
6y since push
License
MIT
Install
npx skills add Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, database access
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository looks stale
- Quality score needs review
- Recent maintenance: 6y since push
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 6y since push
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Database and SQL workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Understand table relationships
- Write safer queries
Suited agents
Trust and risk
- Trust score
- 73/100
- Risk level
- Needs review
- Auto install
- review
Install command
npx skills add Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-RecognitionDo not use when
- teams that require actively maintained dependencies
- production agents without a repository review
- Repository looks stale
- Repository appears stale
- Quality score needs review
Agent safety v2
44/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- Repository appears stale
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-RecognitionAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Real%20Time%20Sentiment%20Tracking%20On%20Twitter%20For%20Brand%20Improvement%20And%20Trend%20Recognition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Real%20Time%20Sentiment%20Tracking%20On%20Twitter%20For%20Brand%20Improvement%20And%20Trend%20Recognition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Real Time Sentiment Tracking On Twitter For Brand Improvement And Trend Recognition in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Real%20Time%20Sentiment%20Tracking%20On%20Twitter%20For%20Brand%20Improvement%20And%20Trend%20Recognition%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition/install
Install command: npx skills add Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition/install
LLM text format
/api/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition/install?format=text
Find alternatives
/api/skills/search?q=Real%20Time%20Sentiment%20Tracking%20On%20Twitter%20For%20Brand%20Improvement%20And%20Trend%20Recognition&limit=3
Agent prompt
Use Real Time Sentiment Tracking On Twitter For Brand Improvement And Trend Recognition for this task. Review https://www.openagentskill.com/api/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition/install, then install with: npx skills add Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-RecognitionRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition
LLM text
/api/registry/manifest/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition?format=text
Install alias
/api/registry/install/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition
Recommend
/api/registry/recommend?task=Use%20Real%20Time%20Sentiment%20Tracking%20On%20Twitter%20For%20Brand%20Improvement%20And%20Trend%20Recognition%20in%20an%20agent%20workflow&limit=3
Agent fit
Database and SQL
Use-case tags
Platforms
Jupyter Notebook, Dashboard, Claude Code
Audit report
Needs review · 64/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Needs validation for Database and SQL
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Database and SQL
Trust label
Needs manual review
Install path
Command ready
Use when
- Database and SQL workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- install command or GitHub repo available
- 51/100 quality profile
- 1 OpenAgentSkill engagement events
Review first
- Repository looks stale
Implementation path
- 1Install it in a sandbox agent and run one Database and SQL task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO316 GitHub stars
Stars/forks activity
INFO316 stars, 126 forks; issue activity unavailable in current metadata
Recent maintenance
FIX6y since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Install command has no obvious high-risk pattern
Review before install
- Repository looks stale
- Quality score needs review
- Recent maintenance: 6y since push
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Needs review candidate for agent workflows
Inspect the repository carefully before adding it to an agent workflow.
Workflow fit
Use this skill in these scenarios
Work with data stores
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Analyze matches
Sports analytics
I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
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Overview
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Needs validation
install command or GitHub repo available
Audit snapshot
Install review
Install and adoption review
- Security
- 85/100
- Maintenance
- 20/100
- Install
- 92/100
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for Real Time Sentiment Tracking On Twitter For Brand Improvement And Trend Recognition, ready for a manual X post.
OpenAgentSkill Update Today: Real Time Sentiment Tracking On Twitter For Brand Improvement... 316 stars - data-analysis Link: https://www.openagentskill.com/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition?ref=x #AIAgents #O
Optional reply with install command
Link for Real Time Sentiment Tracking On Twitter For Brand Improvement And Tre...: https://www.openagentskill.com/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition?ref=x Install: npx skills add Chulong-Li/Real-time-Sentiment-Tr
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Chulong-Li
- Source
- Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to Chulong-Li but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/chulong-li-real-time-sentiment-tracking-on-twitter-for-brand-improvement-and-trend-recognition)Author
Chulong-Li
@chulong-li
Tags
Platform Fit
Health Signals
- GitHub stars
- 316
- Quality score
- 36/100
- Last GitHub push
- May 11, 2020
- Framework hints
- 2
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Strong shortlist
- GitHub adoption316 GitHub starsINFO
- Stars/forks activity316 stars, 126 forks; issue activity unavailable in current metadataINFO
- Recent maintenance6y since pushFIX
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskdatabase surfacePASS
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