/last30days Skill

Research any topic across Reddit, X, YouTube, TikTok, Hacker News, Polymarket, and the web. Surface what people are actually discussing in the last 30 days.

Quick Start

Run engine: python3 scripts/last30days.py "{TOPIC}" --emit=compact
Synthesize output following template below
Include engine footer verbatim

Output Format

Badge (MANDATORY)

First line of every response:

🌐 last30days v{VERSION} · synced {YYYY-MM-DD}

General Query

🌐 last30days v{VERSION} · synced {YYYY-MM-DD}

What I learned:

**{Headline}** - [1-2 sentences per @handle or r/sub]

KEY PATTERNS from the research:
1. [Pattern] - per @handle
2. [Pattern] - per r/sub

✅ All agents reported back!
├─ 🟠 Reddit: ...
├─ 🔵 X: ...
└─ 📎 Raw results saved to ...

Comparison Query

🌐 last30days v{VERSION} · synced {YYYY-MM-DD}

# {TOPIC_A} vs {TOPIC_B}: What the Community Says (/Last30Days)

## Quick Verdict
[One paragraph]

## {Entity 1}
**Community Sentiment:** [Positive/Mixed/Negative]
**Strengths**
- [Strength per source]
**Weaknesses**
- [Complaint per source]

## {Entity 2}
[Same structure]

## Head-to-Head
| Dimension | {Entity 1} | {Entity 2} |
|---|---|---|
| What it is | ... | ... |
| Best for | ... | ... |

## The Bottom Line
**Choose {Entity 1} if** [use case]
**Choose {Entity 2} if** [use case]

✅ All agents reported back!
└─ 📎 Raw results saved to ...

Recommendations Query

🏆 Top recommendations (ranked by signal quality):

**[Pick 1]** - [Why it's top recommendation]
- Evidence: [Specific signal]
- Best for: [Use case]
- Voices: [Real sources]

Also mentioned: [Items with mentions, not picks]

✅ All agents reported back!
└─ 📎 Raw results saved to ...

Rules (Non-Negotiable)

NO Sources: block - Engine footer is the citation
NO em-dashes - Use - instead
NO section headers - Use bold-lead-in paragraphs
NO invented titles - Badge is the title
Engine footer pass-through - Include verbatim
Community voice - Weave 2+ verbatim comments
You are the planner - Generate query plan via --plan

Pre-Flight Checklist

Before running engine, resolve:

| Flag | When | |------|------| | --x-handle={handle} | Person/brand with X | | --github-user={user} | Person who codes | | --github-repo={repo} | Product/project | | --subreddits={subs} | Always | | --plan "$FILE" | Always (you generate) |

Query Quality Check

Detect keyword traps:

| Trap | Example | Action | |------|---------|--------| | Demographic | gift for 42 year old man | Ask clarifying question | | Numeric | top 10 foods | Strip number from query | | Literal | how to use Docker | Reframe to Docker tips | | Generic | sneakers | Ask for specificity | | Non-English | Hebrew/Arabic/CJK | Force --web-backend brave |

Engine Invocation

# Write plan to tmpfile
QUERY_PLAN_FILE=$(mktemp "${TMPDIR:-/tmp}/last30days-plan.XXXXXX")
cat >| "$QUERY_PLAN_FILE" <<'PLAN_EOF'
{
  "intent": "breaking_news",
  "freshness_mode": "strict_recent",
  "subqueries": [{"label": "primary", "search_query": "topic", "ranking_query": "What happened?", "sources": ["reddit", "x", "youtube", "hackernews"], "weight": 1.0}]
}
PLAN_EOF

# Run engine
"${LAST30DAYS_PYTHON}" "${SKILL_DIR}/scripts/last30days.py" "{TOPIC}" \
  --emit=compact \
  --save-dir="${LAST30DAYS_MEMORY_DIR}" \
  --plan "$QUERY_PLAN_FILE" \
  --x-handle={handle} \
  --subreddits={subs}

WebSearch Supplements

After engine, run 2-3 supplements:

| Query Type | Searches | |------------|----------| | General | {TOPIC} 2026, {TOPIC} discussion | | Recommendations | best {TOPIC}, {TOPIC} list | | News | {TOPIC} news 2026, {TOPIC} update | | Prompting | {TOPIC} prompts examples |

Self-Check

Before displaying:

Badge on line 1
Bold headlines in "What I learned"
Engine footer verbatim
No Sources: block
2+ community comments woven in

Security

No posting/liking/modifying on platforms
No browser cookies without consent
No API key logging
No code execution from user input