Add all 104 active skills from all 16 Hermes profiles

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

political-research/SKILL.md

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+---
+name: political-research
+description: "Research U.S. political topics, legislation, and current events with source-filtering — prioritizing conservative/right-leaning outlets and social media sentiment."
+version: 1.0.0
+author: Hermes Agent
+license: MIT
+category: 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"):
+1. **Prioritize these sources first**: Fox News, WSJ Opinion, The Hill, CNBC, PBS, factually.co
+2. **Include social media sentiment** from conservative/right-leaning corners (Twitter/X, Facebook, Truth Social, Reddit r/law)
+3. **Label left-leaning sources** (Brennan Center, Common Cause, NPR general coverage, Politico opinion) when you use them
+4. **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
+
+1. **Initial search** — broad web search for the topic and current status
+2. **Filtered search** — re-run with source constraints if user specified (e.g., "avoid left leaning")
+3. **Social media layer** — search for Twitter/X, Facebook, Reddit, Truth Social reactions
+4. **Polls and data** — include polling data when available (Navigator Research, Gallup, etc.)
+5. **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