Automated tech news digest system with unified data source model, quality scoring pipeline, and template-based output generation.
Works with
Collects from six sources in parallel: RSS feeds, Twitter/X KOLs, GitHub releases and trending repos, Reddit posts, and web search, with deduplication and quality scoring across all sources
Includes 151 pre-configured sources (62 RSS feeds, 48 Twitter accounts, 28 GitHub repos, 13 subreddits, plus web search) covering AI, crypto, and frontier tech topics
S
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontech-news-digestExecute the skills CLI command in your project's root directory to begin installation:
Fetches tech-news-digest from draco-agent/tech-news-digest and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate tech-news-digest. Access via /tech-news-digest in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Automated tech news digest system with unified data source model, quality scoring pipeline, and template-based output generation.
Configuration Setup: Default configs are in config/defaults/. Copy to workspace for customization:
mkdir -p workspace/config
cp config/defaults/sources.json workspace/config/tech-news-digest-sources.json
cp config/defaults/topics.json workspace/config/tech-news-digest-topics.json
Environment Variables:
TWITTERAPI_IO_KEY - twitterapi.io API key (optional, preferred)X_BEARER_TOKEN - Twitter/X official API bearer token (optional, fallback)TAVILY_API_KEY - Tavily Search API key, alternative to Brave (optional)WEB_SEARCH_BACKEND - Web search backend: auto|brave|tavily (optional, default: auto)BRAVE_API_KEYS - Brave Search API keys, comma-separated for rotation (optional)BRAVE_API_KEY - Single Brave key fallback (optional)GITHUB_TOKEN - GitHub personal access token (optional, improves rate limits)Generate Digest:
# Unified pipeline (recommended) — runs all 6 sources in parallel + merge
python3 scripts/run-pipeline.py \
--defaults config/defaults \
--config workspace/config \
--hours 48 --freshness pd \
--archive-dir workspace/archive/tech-news-digest/ \
--output /tmp/td-merged.json --verbose --force
Use Templates: Apply Discord, email, or PDF templates to merged output
sources.json - Unified Data Sources{
"sources": [
{
"id": "openai-rss",
"type": "rss",
"name": "OpenAI Blog",
"url": "https://openai.com/blog/rss.xml",
"enabled": true,
"priority": true,
"topics": ["llm", "ai-agent"],
"note": "Official OpenAI updates"
},
{
"id": "sama-twitter",
"type": "twitter",
"name": "Sam Altman",
"handle": "sama",
"enabled": true,
"priority": true,
"topics": ["llm", "frontier-tech"],
"note": "OpenAI CEO"
}
]
}
topics.json - Enhanced Topic Definitions{
"topics": [
{
"id": "llm",
"emoji": "🧠",
"label": "LLM / Large Models",
"description": "Large Language Models, foundation models, breakthroughs",
"search": {
"queries": ["LLM latest news", "large language model breakthroughs"],
"must_include": ["LLM", "large language model", "foundation model"],
"exclude": ["tutorial", "beginner guide"]
},
"display": {
"max_items": 8,
"style": "detailed"
}
}
]
}
run-pipeline.py - Unified Pipeline (Recommended)python3 scripts/run-pipeline.py \
--defaults config/defaults [--config CONFIG_DIR] \
--hours 48 --freshness pd \
--archive-dir workspace/archive/tech-news-digest/ \
--output /tmp/td-merged.json --verbose --force
*.meta.json$GITHUB_TOKEN not setfetch-rss.py - RSS Feed Fetcherpython3 scripts/fetch-rss.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE] [--verbose]
fetch-twitter.py - Twitter/X KOL Monitorpython3 scripts/fetch-twitter.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE] [--backend auto|official|twitterapiio]
TWITTERAPI_IO_KEY set, else official X API v2 if X_BEARER_TOKEN setfetch-web.py - Web Search Enginepython3 scripts/fetch-web.py [--defaults DIR] [--config DIR] [--freshness pd] [--output FILE]
fetch-github.py - GitHub Releases Monitorpython3 scripts/fetch-github.py [--defaults DIR] [--config DIR] [--hours 168] [--output FILE]
$GITHUB_TOKEN → GitHub App auto-generate → gh CLI → unauthenticated (60 req/hr)fetch-github.py --trending - GitHub Trending Repospython3 scripts/fetch-github.py --trending [--hours 48] [--output FILE] [--verbose]
fetch-reddit.py - Reddit Posts Fetcherpython3 scripts/fetch-reddit.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE]
enrich-articles.py - Article Full-Text Enrichmentpython3 scripts/enrich-articles.py --input merged.json --output enriched.json [--min-score 10] [--max-articles 15] [--verbose]
merge-sources.py - Quality Scoring & Deduplicationpython3 scripts/merge-sources.py --rss FILE --twitter FILE --web FILE --github FILE --reddit FILE
validate-config.py - Configuration Validatorpython3 scripts/validate-config.py [--defaults DIR] [--config DIR] [--verbose]
generate-pdf.py - PDF Report Generatorpython3 scripts/generate-pdf.py --input report.md --output digest.pdf [--verbose]
weasyprint.sanitize-html.py - Safe HTML Email Converterpython3 scripts/sanitize-html.py --input report.md --output email.html [--verbose]
source-health.py - Source Health Monitorpython3 scripts/source-health.py --rss FILE --twitter FILE --github FILE --reddit FILE --web FILE [--verbose]
summarize-merged.py - Merged Data Summarypython3 scripts/summarize-merged.py --input merged.json [--top N] [--topic TOPIC]
Place custom configs in workspace/config/ to override defaults:
"enabled": falseid → user version takes precedenceid → appended to defaultsid → user version completely replaces default// workspace/config/tech-news-digest-sources.json
{
"sources": [
{
"id": "simonwillison-rss",
"enabled": false,
"note"Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added tech-news-digest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added tech-news-digest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tech-news-digest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tech-news-digest reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for tech-news-digest matched our evaluation — installs cleanly and behaves as described in the markdown.
We added tech-news-digest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tech-news-digest reduced setup friction for our internal harness; good balance of opinion and flexibility.
tech-news-digest reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: tech-news-digest is focused, and the summary matches what you get after install.
tech-news-digest has been reliable in day-to-day use. Documentation quality is above average for community skills.
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