rust-daily

zhanghandong/rust-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/zhanghandong/rust-skills --skill rust-daily
0 commentsdiscussion
summary

Aggregates Rust community news and updates from multiple sources, filtered by time range.

  • Fetches from five primary sources: Reddit r/rust, This Week in Rust, official Rust blog, Inside Rust, and Rust Foundation news/blog/events
  • Supports three time ranges (day, week, month) and category filtering (all, ecosystem, official, foundation)
  • Operates in two modes: agent-based (if rust-daily-reporter.md exists) or inline (direct source fetching via agent-browser, actionbook MCP, or WebFetch)
skill.md

Rust Daily Report

Version: 2.1.0 | Last Updated: 2025-01-27

Fetch Rust community updates, filtered by time range.

Data Sources

Category Sources
Ecosystem Reddit r/rust, This Week in Rust
Official blog.rust-lang.org, Inside Rust
Foundation rustfoundation.org (news, blog, events)

Parameters

  • time_range: day | week | month (default: week)
  • category: all | ecosystem | official | foundation

Execution Mode Detection

CRITICAL: Check agent file availability first to determine execution mode.

Try to read: ../../agents/rust-daily-reporter.md


Agent Mode (Plugin Install)

When ../../agents/rust-daily-reporter.md exists:

Workflow

1. Read: ../../agents/rust-daily-reporter.md
2. Task(subagent_type: "general-purpose", run_in_background: false, prompt: <agent content>)
3. Wait for result
4. Format and present to user

Inline Mode (Skills-only Install)

When agent file is NOT available, execute each source directly:

1. Reddit r/rust

# Using agent-browser CLI
agent-browser open "https://www.reddit.com/r/rust/hot/"
agent-browser get text ".Post" --limit 10
agent-browser close

Or with WebFetch fallback:

WebFetch("https://www.reddit.com/r/rust/hot/", "Extract top 10 posts with scores and titles")

Parse output into:

Score Title Link

2. This Week in Rust

# Check actionbook first
mcp__actionbook__search_actions("this week in rust")
mcp__actionbook__get_action_by_id(<action_id>)

# Then fetch
agent-browser open "https://this-week-in-rust.org/"
agent-browser get text "<selector_from_actionbook>"
agent-browser close

Parse output into:

  • Issue #{number} ({date}): highlights

3. Rust Blog (Official)

agent-browser open "https://blog.rust-lang.org/"
agent-browser get text "article" --limit 5
agent-browser close

Or with WebFetch fallback:

WebFetch("https://blog.rust-lang.org/", "Extract latest 5 blog posts with dates and titles")

Parse output into:

Date Title Summary

4. Inside Rust

agent-browser open "https://blog.rust-lang.org/inside-rust/"
agent-browser get text "article" --limit 3
agent-browser close

Or with WebFetch fallback:

WebFetch("https://blog.rust-lang.org/inside-rust/", "Extract latest 3 posts with dates and titles")

5. Rust Foundation

# News
agent-browser open "https://rustfoundation.org/media/category/news/"
agent-browser get text "article" --limit 3
agent-browser close

# Blog
agent-browser open "https://rustfoundation.org/media/category/blog/"
agent-browser get text "article" --limit 3
agent-browser close

# Events
agent-browser open "https://rustfoundation.org/events/"
agent-browser get text "article" --limit 3
agent-browser close

Time Filtering

After fetching all sources, filter by time range:

Range Filter
day Last 24 hours
week Last 7 days
month Last 30 days

Combining Results

After fetching all sources, combine into the output format below.


Tool Chain Priority

Both modes use the same tool chain order:

  1. actionbook MCP - Check for cached/pre-fetched content first

    mcp__actionbook__search_actions("rust news {date}")
    mcp__actionbook__search_actions("this week in rust")
    mcp__actionbook__search_actions("rust blog")
    
  2. agent-browser CLI - For dynamic web content

    agent-browser open "<url>"
    agent-browser get text "<selector>"
    agent-browser close
    
  3. WebFetch - Fallback if agent-browser unavailable

Source Primary Tool Fallback
Reddit agent-browser WebFetch
TWIR actionbook → agent-browser WebFetch
Rust Blog actionbook → WebFetch -
Foundation actionbook → WebFetch -

DO NOT use:

  • Chrome MCP directly
  • WebSearch for fetching news pages

Output Format

# Rust {Weekly|Daily|Monthly} Report

**Time Range:** {start} - {end}

## Ecosystem

### Reddit r/rust
| Score | Title | Link |
|-------|-------|------|
| {score} | {title} | [link]({url}) |

### This Week in Rust
- Issue #{number} ({date}): highlights

## Official
| Date | Title | Summary |
|------|-------|---------|
| {date} | {title} | {summary} |

## Foundation
| Date | Title | Summary |
|------|-------|---------|
| {date} | {title} | {summary} |

Validation

  • Each source should have at least 1 result, otherwise mark "No updates"
  • On fetch failure, retry with alternative tool
  • Report reason if all tools fail for a source

Error Handling

Error Cause Solution
Agent file not found Skills-only install Use inline mode
agent-browser unavailable CLI not installed Use WebFetch
Site timeout Network issues Retry once, then skip source
Empty results Selector mismatch Report and use fallback
how to use rust-daily

How to use rust-daily on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add rust-daily
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/zhanghandong/rust-skills --skill rust-daily

The skills CLI fetches rust-daily from GitHub repository zhanghandong/rust-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/rust-daily

Reload or restart Cursor to activate rust-daily. Access the skill through slash commands (e.g., /rust-daily) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.763 reviews
  • Diego Agarwal· Dec 20, 2024

    I recommend rust-daily for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Farah· Dec 16, 2024

    Useful defaults in rust-daily — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Omar Gonzalez· Dec 16, 2024

    rust-daily reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Pratham Ware· Dec 12, 2024

    I recommend rust-daily for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Isabella Thompson· Nov 11, 2024

    Useful defaults in rust-daily — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Verma· Nov 7, 2024

    I recommend rust-daily for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Isabella Gupta· Nov 7, 2024

    rust-daily has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 3, 2024

    Useful defaults in rust-daily — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Garcia· Nov 3, 2024

    rust-daily reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Isabella Menon· Oct 26, 2024

    rust-daily reduced setup friction for our internal harness; good balance of opinion and flexibility.

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