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