Strategic Communication Analysis Skill
Context
This skill applies when:
- Analyzing narratives and framing in European Parliament plenary debates and committee hearings
- Monitoring media coverage of EU legislative processes and EP political dynamics
- Assessing communication strategies of EP political groups on key policy dossiers
- Evaluating influence networks through parliamentary question patterns and debate contributions
- Studying discourse framing in EP resolutions, reports, and adopted texts
- Tracking public communication by MEPs through official EP channels (speeches, written declarations)
- Analyzing how EP positions are communicated to national publics across 24 official EU languages
- Assessing the effectiveness of EP institutional communication (press releases, social media)
This skill supports transparent analysis of public parliamentary communications, aligned with Hack23 ISMS documentation and attribution standards.
Rules
- Public Sources Only: Analyze only publicly available EP communications — plenary speeches, committee hearing transcripts, official documents, press releases, and public statements accessible through MCP Server data
- Discourse Analysis Rigor: Apply established discourse analysis frameworks (Fairclough CDA, Hajer argumentative discourse analysis) to EP texts — avoid impressionistic interpretation
- Multilingual Awareness: Recognize that EP operates in 24 official languages — framing effects may differ across language versions of the same document; identify translation-induced meaning shifts
- Frame Identification: Systematically identify policy frames (diagnostic, prognostic, motivational) in EP debates — track which frames dominate across political groups and policy areas
- Attribution Precision: Distinguish between individual MEP positions, political group positions, committee positions, and EP institutional positions — these are different levels of communication authority
- Temporal Tracking: Monitor narrative evolution through legislative stages — framing at Commission proposal stage may differ significantly from adopted text, revealing EP's communication influence
- Influence Metrics: Measure communication influence through observable indicators — amendment adoption rates, media pickup of EP positions, citation in subsequent Commission proposals
- Audience Differentiation: Recognize that EP communications target multiple audiences simultaneously — EU institutions, national governments, media, civil society, and citizens across 27 states
- Bias Transparency: Explicitly acknowledge analytical perspective and potential biases when interpreting EP communications — no analysis is value-free
- GDPR and Data Ethics: Handle MEP communication data in compliance with GDPR — public speeches are public data, but systematic profiling of individual MEP communication patterns requires proportionality assessment per Hack23 Privacy Policy
Examples
Policy Frame Analysis in EP Debates
Analyze framing of EU Green Deal debates using MCP Server data:
1. Retrieve debate documents: search_documents (Green Deal dossiers)
2. Identify competing frames across political groups:
- EPP: "Competitiveness + environment" (economic opportunity frame)
- S&D: "Just transition" (social justice frame)
- Greens/EFA: "Climate emergency" (urgency/crisis frame)
- ECR: "Regulatory burden" (sovereignty/cost frame)
- ID: "EU overreach" (anti-federalist frame)
3. Track frame prevalence across legislative stages
4. Measure frame adoption: which frames appear in final adopted texts
5. Assess frame bridging: identify MEPs who combine frames across groups
Parliamentary Question Pattern Analysis
Map communication priorities through written questions:
Using get_parliamentary_questions (parliamentary questions filter):
1. Categorize questions by policy domain and political group
2. Identify emerging issues: topics with rapidly increasing question frequency
3. Detect scrutiny campaigns: coordinated questions on same topic from one group
4. Track Commission responsiveness: response time and substantive engagement
5. Compare question strategies: oral vs. written, priority vs. non-priority
Influence indicators:
- Questions that trigger Commission studies or legislative proposals
- Questions cited in subsequent EP reports or resolutions
- Questions generating media coverage in national press
Narrative Evolution Through Legislative Process
Track how EP communication shapes legislative outcomes:
Dossier tracking (using track_legislation):
1. Commission proposal: identify initial policy narrative and framing
2. Committee report: analyze how rapporteur reframes the issue
3. Plenary amendments: map competing narratives from political groups
4. Trilogue: assess which EP narrative frames survive Council negotiation
5. Adopted text: compare final framing with original proposal
Metrics:
- Frame persistence: % of EP frames retained in final text
- Narrative dominance: which political group's framing prevails
- Institutional influence: EP vs. Council framing in trilogue outcomes
Anti-Patterns
- Propaganda Analysis Framing: Do NOT treat all EP communication as propaganda or strategic manipulation — much parliamentary communication serves legitimate democratic functions of deliberation and representation
- Cherry-Picking Quotes: Do NOT select individual quotes out of context to support a pre-determined narrative — analyze full debate transcripts and document systematic patterns
- Ignoring Multilingual Context: Do NOT analyze only English-language EP documents and generalize — EP debates occur across languages, and national-language media coverage shapes public perception differently
- Conflating Communication and Influence: Do NOT assume that frequent communication equals influence — measure actual impact through amendment adoption, legislative outcomes, and policy change
- Media Bias Amplification: Do NOT reproduce media framing uncritically when analyzing EP communications — distinguish EP's actual positions from how media represents them
- Attributing Group Position to Individuals: Do NOT attribute an EP political group's communication strategy to individual MEPs — MEPs may communicate differently from their group's official line
- Surveillance Framing: Do NOT use communication analysis to create surveillance-style monitoring of individual MEPs — analysis should focus on institutional communication patterns and public democratic discourse
1---2name: strategic-communication-analysis3description: Narrative analysis, media monitoring, discourse analysis, and influence assessment for EU parliamentary communications4license: MIT5---67# Strategic Communication Analysis Skill89## Context1011This skill applies when:12- Analyzing narratives and framing in European Parliament plenary debates and committee hearings13- Monitoring media coverage of EU legislative processes and EP political dynamics14- Assessing communication strategies of EP political groups on key policy dossiers15- Evaluating influence networks through parliamentary question patterns and debate contributions16- Studying discourse framing in EP resolutions, reports, and adopted texts17- Tracking public communication by MEPs through official EP channels (speeches, written declarations)18- Analyzing how EP positions are communicated to national publics across 24 official EU languages19- Assessing the effectiveness of EP institutional communication (press releases, social media)2021This skill supports transparent analysis of public parliamentary communications, aligned with [Hack23 ISMS](https://github.com/Hack23/ISMS-PUBLIC) documentation and attribution standards.2223## Rules24251. **Public Sources Only**: Analyze only publicly available EP communications — plenary speeches, committee hearing transcripts, official documents, press releases, and public statements accessible through MCP Server data262. **Discourse Analysis Rigor**: Apply established discourse analysis frameworks (Fairclough CDA, Hajer argumentative discourse analysis) to EP texts — avoid impressionistic interpretation273. **Multilingual Awareness**: Recognize that EP operates in 24 official languages — framing effects may differ across language versions of the same document; identify translation-induced meaning shifts284. **Frame Identification**: Systematically identify policy frames (diagnostic, prognostic, motivational) in EP debates — track which frames dominate across political groups and policy areas295. **Attribution Precision**: Distinguish between individual MEP positions, political group positions, committee positions, and EP institutional positions — these are different levels of communication authority306. **Temporal Tracking**: Monitor narrative evolution through legislative stages — framing at Commission proposal stage may differ significantly from adopted text, revealing EP's communication influence317. **Influence Metrics**: Measure communication influence through observable indicators — amendment adoption rates, media pickup of EP positions, citation in subsequent Commission proposals328. **Audience Differentiation**: Recognize that EP communications target multiple audiences simultaneously — EU institutions, national governments, media, civil society, and citizens across 27 states339. **Bias Transparency**: Explicitly acknowledge analytical perspective and potential biases when interpreting EP communications — no analysis is value-free3410. **GDPR and Data Ethics**: Handle MEP communication data in compliance with GDPR — public speeches are public data, but systematic profiling of individual MEP communication patterns requires proportionality assessment per [Hack23 Privacy Policy](https://github.com/Hack23/ISMS-PUBLIC)3536## Examples3738### Policy Frame Analysis in EP Debates39```40Analyze framing of EU Green Deal debates using MCP Server data:41421. Retrieve debate documents: search_documents (Green Deal dossiers)432. Identify competing frames across political groups:44 - EPP: "Competitiveness + environment" (economic opportunity frame)45 - S&D: "Just transition" (social justice frame)46 - Greens/EFA: "Climate emergency" (urgency/crisis frame)47 - ECR: "Regulatory burden" (sovereignty/cost frame)48 - ID: "EU overreach" (anti-federalist frame)493. Track frame prevalence across legislative stages504. Measure frame adoption: which frames appear in final adopted texts515. Assess frame bridging: identify MEPs who combine frames across groups52```5354### Parliamentary Question Pattern Analysis55```56Map communication priorities through written questions:5758Using get_parliamentary_questions (parliamentary questions filter):591. Categorize questions by policy domain and political group602. Identify emerging issues: topics with rapidly increasing question frequency613. Detect scrutiny campaigns: coordinated questions on same topic from one group624. Track Commission responsiveness: response time and substantive engagement635. Compare question strategies: oral vs. written, priority vs. non-priority6465Influence indicators:66- Questions that trigger Commission studies or legislative proposals67- Questions cited in subsequent EP reports or resolutions68- Questions generating media coverage in national press69```7071### Narrative Evolution Through Legislative Process72```73Track how EP communication shapes legislative outcomes:7475Dossier tracking (using track_legislation):761. Commission proposal: identify initial policy narrative and framing772. Committee report: analyze how rapporteur reframes the issue783. Plenary amendments: map competing narratives from political groups794. Trilogue: assess which EP narrative frames survive Council negotiation805. Adopted text: compare final framing with original proposal8182Metrics:83- Frame persistence: % of EP frames retained in final text84- Narrative dominance: which political group's framing prevails85- Institutional influence: EP vs. Council framing in trilogue outcomes86```8788## Anti-Patterns8990- **Propaganda Analysis Framing**: Do NOT treat all EP communication as propaganda or strategic manipulation — much parliamentary communication serves legitimate democratic functions of deliberation and representation91- **Cherry-Picking Quotes**: Do NOT select individual quotes out of context to support a pre-determined narrative — analyze full debate transcripts and document systematic patterns92- **Ignoring Multilingual Context**: Do NOT analyze only English-language EP documents and generalize — EP debates occur across languages, and national-language media coverage shapes public perception differently93- **Conflating Communication and Influence**: Do NOT assume that frequent communication equals influence — measure actual impact through amendment adoption, legislative outcomes, and policy change94- **Media Bias Amplification**: Do NOT reproduce media framing uncritically when analyzing EP communications — distinguish EP's actual positions from how media represents them95- **Attributing Group Position to Individuals**: Do NOT attribute an EP political group's communication strategy to individual MEPs — MEPs may communicate differently from their group's official line96- **Surveillance Framing**: Do NOT use communication analysis to create surveillance-style monitoring of individual MEPs — analysis should focus on institutional communication patterns and public democratic discourse