b0d790be34
12 unversioned skills now versioned at 1.0.0: agent-communication, ascii-video, external-reasoning-augmentation, jotty-notes-api, minecraft-modpack-server, obsidian, pokemon-player, powerpoint, social-search, songwriting-and-ai-music, workspace-context-organization, youtube-content Total repo: 141 skills across all profile scopes
67 lines
3.5 KiB
Markdown
67 lines
3.5 KiB
Markdown
---
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name: political-research
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description: "Research U.S. political topics, legislation, and current events with source-filtering — prioritizing conservative/right-leaning outlets and social media sentiment."
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version: 1.0.0
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author: Hermes Agent
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license: MIT
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category: research
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---
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# Political Research
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Research U.S. politics, legislation, and current events with a focus on source quality and ideological balance.
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## Trigger
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Load this skill when:
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- User asks about U.S. politics, legislation (acts, bills), election topics, or policy issues
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- User asks for social media consensus or public sentiment on a political topic
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- User explicitly requests conservative/right-leaning sources (e.g., "avoid left leaning sources")
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- User asks for your own opinion on a political topic
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## Source Filtering
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**Default approach**: Always supplement with a mix of sources.
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**When user specifies conservative/right-leaning** (explicitly or via "avoid left leaning"):
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1. **Prioritize these sources first**: Fox News, WSJ Opinion, The Hill, CNBC, PBS, factually.co
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2. **Include social media sentiment** from conservative/right-leaning corners (Twitter/X, Facebook, Truth Social, Reddit r/law)
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3. **Label left-leaning sources** (Brennan Center, Common Cause, NPR general coverage, Politico opinion) when you use them
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4. **Distinguish commentary from raw social data** — social media posts are data; op-eds are commentary
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**Left-leaning sources to de-emphasize when requested**: Brennan Center, Common Cause, ACLU, progressive op-eds, left-leaning advocacy orgs, general NPR coverage
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## Workflow
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### Layered Search
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1. **Initial search** — broad web search for the topic and current status
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2. **Filtered search** — re-run with source constraints if user specified (e.g., "avoid left leaning")
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3. **Social media layer** — search for Twitter/X, Facebook, Reddit, Truth Social reactions
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4. **Polls and data** — include polling data when available (Navigator Research, Gallup, etc.)
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5. **Synthesize** — present findings organized by theme, not by source
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### Social Media Analysis
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When analyzing social media sentiment:
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- **Don't just aggregate** — identify the dominant frames and narratives
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- **Distinguish** between: elite opinion (senators, politicians posting), media commentary, and grassroots reaction
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- **Note the gap** — what people say online vs. what polls show may differ
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- **Call out the surprise voices** — conservative senators defying Trump, or Democrats supporting popular bills
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### Opinion Delivery
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When the user asks for your opinion ("what do you think"):
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- **Be direct** — state the opinion clearly up front
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- **Ground it in the evidence** — reference specific findings from the research
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- **Acknowledge nuance** — what's good vs. what's poorly executed
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- **Keep it concise** — no padding, no hedging unnecessarily
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## Pitfalls
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- **Don't present polling numbers without context** — a 60% approval number means different things depending on how the question was asked
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- **Don't let the 60-vote Senate problem disappear into the weeds** — always clarify whether a bill failed on substance or procedure
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- **Avoid framing everything as a partisan fight** — intra-party disagreements matter (e.g., 4 GOP senators against Trump's bill)
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- **Don't conflate social media buzz with actual consensus** — loud voices online don't always represent majority opinion
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- **When user says "avoid left leaning," mean it** — don't just add Fox News on top of everything; re-run searches with source filters
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