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Use when: analyzing topics, synthesizing research, gathering evidence, or investigating questions for documentation or strategy.","5throck\u002Fai-workspace-standards","5throck","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F10958964?v=4","01M73BFEH0V0VS483TW4JD49JW","01M73BFEJ5VQZJHJSFTVPAZGDM",25,"AGPL-3.0","https:\u002F\u002Fgithub.com\u002F5throck\u002Fai-workspace-standards\u002Fblob\u002Fmain\u002Ftemplates\u002Fcommon\u002F.codex\u002Fskills\u002Fresearch-analysis\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: research-analysis\ndescription: >\n  Conducts systematic research, data synthesis, and evidence-based analysis to support\n  decision-making and documentation. Use when: analyzing topics, synthesizing research,\n  gathering evidence, or investigating questions for documentation or strategy.\nversion: 1.0.2\nscope: common\nstatus: active\nowner: pm\nlast_reviewed: 2026-11-08\nprerequisites: none\nrelates_to:\n  - skill: documentation-writing\n    type: enables\ngemini-parity: skip\nmetadata:\n  type: process\n  triggers:\n    - research\n    - analyze\n    - investigate\n    - synthesize\n    - evidence gathering\n    - data analysis\n    - literature review\n---\n\n## Context\n\nThis skill provides a structured approach to conducting systematic research, analyzing information, and synthesizing findings into actionable insights. It ensures research is thorough, well-documented, and focused on answering specific questions or solving particular problems.\n\n## When to Use\n\n**Information Gathering**:\n- Trigger: \"Research X topic\" or \"Gather information on Y\"\n- Use Case: Building knowledge base for documentation or strategy\n\n**Problem Investigation**:\n- Trigger: \"Investigate issue\" or \"Analyze problem\"\n- Use Case: Understanding root causes and finding solutions\n\n**Evidence Synthesis**:\n- Trigger: \"Synthesize findings\" or \"Analyze research data\"\n- Use Case: Combining multiple sources into coherent insights\n\n**Competitive Analysis**:\n- Trigger: \"Analyze competitors\" or \"Research market\"\n- Use Case: Understanding landscape and positioning\n\n---\n\n## Execution Steps\n\n## Step 1: Define Research Objectives\n\n**Purpose**: Clarify what questions need answering and what decisions will be informed.\n\n**Objective Definition**:\n1. **Primary Research Question**:\n   - What specific question are we answering?\n   - What decision will this research inform?\n   - Who is the audience for this research?\n\n2. **Secondary Questions**:\n   - What sub-questions need answering?\n   - What context is needed?\n   - What are the key variables or factors?\n\n3. **Success Criteria**:\n   - What does \"complete research\" look like?\n   - What evidence level is required?\n   - What format should findings take?\n\n**Validation**:\n- Objectives are specific and measurable\n- Success criteria are defined upfront\n- Research scope is achievable\n\n---\n\n## Step 2: Research Planning\n\n**Purpose**: Create systematic approach to information gathering.\n\n**Research Strategy**:\n1. **Information Sources**:\n   - Primary sources (original documents, data, interviews)\n   - Secondary sources (analyses, reviews, summaries)\n   - Tertiary sources (textbooks, encyclopedias)\n   - Domain-specific sources (academic papers, technical docs)\n\n2. **Search Strategy**:\n   - Keywords and search terms\n   - Databases or platforms to search\n   - Inclusion\u002Fexclusion criteria\n   - Time period restrictions (if applicable)\n\n3. **Data Collection Plan**:\n   - What data points to collect\n   - How to organize findings\n   - Tools for tracking sources\n   - Note-taking format\n\n**Output**: Research plan with sources, search terms, and collection method\n\n---\n\n## Step 3: Information Gathering\n\n**Purpose**: Collect relevant information systematically.\n\n**Collection Methods**:\n1. **Literature Review**:\n   - Academic databases (Google Scholar, IEEE Xplore, etc.)\n   - Industry reports and white papers\n   - Technical documentation and specifications\n   - Books and reference materials\n\n2. **Web Research**:\n   - Reputable websites and sources\n   - Industry blogs and publications\n   - Expert forums and communities\n   - Vendor documentation\n\n3. **Data Collection**:\n   - Statistics and metrics\n   - Case studies and examples\n   - Expert opinions and quotes\n   - Benchmarks and comparisons\n\n**Quality Criteria**:\n- Source credibility (author expertise, publication reputation)\n- Information currency (publication date, last updated)\n- Evidence quality (peer-reviewed, primary sources preferred)\n- Relevance to research questions\n\n**Output**: Organized collection of sources with notes and excerpts\n\n---\n\n## Step 4: Critical Analysis\n\n**Purpose**: Evaluate information quality and extract key insights.\n\n**Analysis Framework**:\n1. **Source Evaluation**:\n   - Author credibility and expertise\n   - Publication bias or conflicts of interest\n   - Methodology quality (for research studies)\n   - Sample size and representativeness\n\n2. **Information Synthesis**:\n   - Identify patterns across sources\n   - Note areas of agreement\u002Fdisagreement\n   - Extract key findings and data points\n   - Highlight gaps in knowledge\n\n3. **Quality Assessment**:\n   - Strength of evidence (strong, moderate, weak)\n   - Reliability of findings\n   - Applicability to research questions\n   - Limitations and caveats\n\n**Analysis Techniques**:\n- Comparative analysis (comparing sources)\n- Thematic analysis (identifying themes)\n- Gap analysis (finding missing information)\n- Strength-of-evidence assessment\n\n**Output**: Analyzed findings with quality ratings and key insights\n\n---\n\n## Step 5: Synthesis and Insights\n\n**Purpose**: Combine findings into coherent, actionable insights.\n\n**Synthesis Process**:\n1. **Pattern Recognition**:\n   - Common themes across sources\n   - Recurring recommendations\n   - Consistent data points\n   - Emerging trends\n\n2. **Key Findings**:\n   - Top 3-5 most important insights\n   - Supporting evidence for each finding\n   - Confidence level in each finding\n   - Implications and applications\n\n3. **Knowledge Gaps**:\n   - Questions that remain unanswered\n   - Areas needing further research\n   - Limitations of current knowledge\n   - Recommendations for additional investigation\n\n4. **Actionable Insights**:\n   - What decisions can be made now?\n   - What additional information is needed?\n   - What are the recommended next steps?\n   - What are the risk factors or considerations?\n\n**Output**: Synthesis report with findings, insights, and recommendations\n\n---\n\n## Step 6: Documentation\n\n**Purpose**: Create clear, usable documentation of research process and findings.\n\n**Documentation Structure**:\n1. **Research Summary**:\n   - Research objectives and questions\n   - Methodology and sources used\n   - Key findings (executive summary)\n   - Main conclusions and recommendations\n\n2. **Detailed Findings**:\n   - Organized by theme or question\n   - Supporting evidence for each finding\n   - Source references and citations\n   - Data visualizations (charts, graphs if applicable)\n\n3. **Appendices**:\n   - Complete source list with URLs\n   - Data tables and raw information\n   - Methodology details\n   - Quality assessment notes\n\n4. **Recommendations**:\n   - Action items based on findings\n   - Areas requiring further investigation\n   - Confidence levels for recommendations\n   - Timeline considerations\n\n**Documentation Best Practices**:\n- Clear section headers and organization\n- In-text citations for all claims\n- Bibliography or reference list\n- Date of research and sources\n- Clear indication of evidence strength\n\n**Output**: Complete research report with findings, sources, and recommendations\n\n---\n\n## Output Format\n\n**For Research Tasks**:\n- Research objectives and questions defined\n- Systematic information collection\n- Critical analysis of sources\n- Synthesized findings with evidence\n- Actionable recommendations\n\n**For Analysis Tasks**:\n- Evaluated information quality\n- Identified patterns and insights\n- Assessed evidence strength\n- Highlighted knowledge gaps\n- Provided clear conclusions\n\n**For Investigation Tasks**:\n- Root cause analysis\n- Evidence-based explanations\n- Multiple hypotheses evaluated\n- Recommended solutions with rationale\n- Implementation considerations\n\n---\n\n## Best Practices\n\n**Research Quality**:\n✅ **Do**:\n- Start with clear research questions\n- Use multiple, credible sources\n- Evaluate source quality and bias\n- Document methodology and sources\n- Distinguish between strong and weak evidence\n\n❌ **Don't**:\n- Accept information at face value\n- Rely on single sources\n- Ignore source credibility\n- Skip documentation methodology\n- Treat all evidence as equal\n\n**Analysis Quality**:\n✅ **Do**:\n- Look for patterns across sources\n- Identify areas of agreement\u002Fdisagreement\n- Assess evidence strength critically\n- Acknowledge limitations and gaps\n- Provide confidence levels\n\n❌ **Don't**:\n- Cherry-pick supporting evidence\n- Ignore contradictory information\n- Overstate confidence in findings\n- Draw conclusions beyond evidence\n- Make claims without support\n\n---\n\n## Common Mistakes to Avoid\n\n**Research Anti-Patterns**:\n1. **Confirmation Bias**: Only seeking information that supports pre-existing beliefs\n2. **Source Neglect**: Failing to evaluate source credibility or currency\n3. **Scope Creep**: Expanding research beyond original objectives\n4. **Analysis Paralysis**: Getting stuck in endless research without synthesis\n5. **Documentation Debt**: Failing to document sources and methodology\n\n**Analysis Anti-Patterns**:\n1. **False Equivalence**: Treating weak evidence equal to strong evidence\n2. **Overgeneralization**: Drawing broad conclusions from limited data\n3. **Citation Neglect**: Failing to properly attribute sources\n4. **Methodology Omission**: Not documenting how research was conducted\n5. **Gap Ignorance**: Failing to acknowledge limitations in knowledge\n\n---\n\n## Related Skills\n\n- **documentation-writing**: For documenting research findings\n- **technical-writing**: For creating technical research reports\n- **critical-thinking**: For evaluating information quality\n- **data-analysis**: For working with quantitative data\n\n---\n\n## Research Tools and Techniques\n\n**Source Evaluation**:\n- CRAAP test (Currency, Relevance, Authority, Accuracy, Purpose)\n- SIFT method (Stop, Investigate, Find, Trace)\n- Evidence hierarchy (primary > secondary > tertiary)\n\n**Synthesis Techniques**:\n- Thematic analysis\n- Comparative analysis\n- Meta-analysis (for quantitative research)\n- Narrative synthesis (for qualitative research)\n\n**Documentation Tools**:\n- Citation managers (Zotero, Mendeley)\n- Note-taking apps (Notion, Obsidian)\n- Reference management tools\n- Bibliography generators\n","## Context\n\nThis skill provides a structured approach to conducting systematic research, analyzing information, and synthesizing findings into actionable insights. It ensures research is thorough, well-documented, and focused on answering specific questions or solving particular problems.\n\n## When to Use\n\n**Information Gathering**:\n- Trigger: \"Research X topic\" or \"Gather information on Y\"\n- Use Case: Building knowledge base for documentation or strategy\n\n**Problem Investigation**:\n- Trigger: \"Investigate issue\" or \"Analyze problem\"\n- Use Case: Understanding root causes and finding solutions\n\n**Evidence Synthesis**:\n- Trigger: \"Synthesize findings\" or \"Analyze research data\"\n- Use Case: Combining multiple sources into coherent insights\n\n**Competitive Analysis**:\n- Trigger: \"Analyze competitors\" or \"Research market\"\n- Use Case: Understanding landscape and positioning\n\n---\n\n## Execution Steps\n\n## Step 1: Define Research Objectives\n\n**Purpose**: Clarify what questions need answering and what decisions will be informed.\n\n**Objective Definition**:\n1. **Primary Research Question**:\n   - What specific question are we answering?\n   - What decision will this research inform?\n   - Who is the audience for this research?\n\n2. **Secondary Questions**:\n   - What sub-questions need answering?\n   - What context is needed?\n   - What are the key variables or factors?\n\n3. **Success Criteria**:\n   - What does \"complete research\" look like?\n   - What evidence level is required?\n   - What format should findings take?\n\n**Validation**:\n- Objectives are specific and measurable\n- Success criteria are defined upfront\n- Research scope is achievable\n\n---\n\n## Step 2: Research Planning\n\n**Purpose**: Create systematic approach to information gathering.\n\n**Research Strategy**:\n1. **Information Sources**:\n   - Primary sources (original documents, data, interviews)\n   - Secondary sources (analyses, reviews, summaries)\n   - Tertiary sources (textbooks, encyclopedias)\n   - Domain-specific sources (academic papers, technical docs)\n\n2. **Search Strategy**:\n   - Keywords and search terms\n   - Databases or platforms to search\n   - Inclusion\u002Fexclusion criteria\n   - Time period restrictions (if applicable)\n\n3. **Data Collection Plan**:\n   - What data points to collect\n   - How to organize findings\n   - Tools for tracking sources\n   - Note-taking format\n\n**Output**: Research plan with sources, search terms, and collection method\n\n---\n\n## Step 3: Information Gathering\n\n**Purpose**: Collect relevant information systematically.\n\n**Collection Methods**:\n1. **Literature Review**:\n   - Academic databases (Google Scholar, IEEE Xplore, etc.)\n   - Industry reports and white papers\n   - Technical documentation and specifications\n   - Books and reference materials\n\n2. **Web Research**:\n   - Reputable websites and sources\n   - Industry blogs and publications\n   - Expert forums and communities\n   - Vendor documentation\n\n3. **Data Collection**:\n   - Statistics and metrics\n   - Case studies and examples\n   - Expert opinions and quotes\n   - Benchmarks and comparisons\n\n**Quality Criteria**:\n- Source credibility (author expertise, publication reputation)\n- Information currency (publication date, last updated)\n- Evidence quality (peer-reviewed, primary sources preferred)\n- Relevance to research questions\n\n**Output**: Organized collection of sources with notes and excerpts\n\n---\n\n## Step 4: Critical Analysis\n\n**Purpose**: Evaluate information quality and extract key insights.\n\n**Analysis Framework**:\n1. **Source Evaluation**:\n   - Author credibility and expertise\n   - Publication bias or conflicts of interest\n   - Methodology quality (for research studies)\n   - Sample size and representativeness\n\n2. **Information Synthesis**:\n   - Identify patterns across sources\n   - Note areas of agreement\u002Fdisagreement\n   - Extract key findings and data points\n   - Highlight gaps in knowledge\n\n3. **Quality Assessment**:\n   - Strength of evidence (strong, moderate, weak)\n   - Reliability of findings\n   - Applicability to research questions\n   - Limitations and caveats\n\n**Analysis Techniques**:\n- Comparative analysis (comparing sources)\n- Thematic analysis (identifying themes)\n- Gap analysis (finding missing information)\n- Strength-of-evidence assessment\n\n**Output**: Analyzed findings with quality ratings and key insights\n\n---\n\n## Step 5: Synthesis and Insights\n\n**Purpose**: Combine findings into coherent, actionable insights.\n\n**Synthesis Process**:\n1. **Pattern Recognition**:\n   - Common themes across sources\n   - Recurring recommendations\n   - Consistent data points\n   - Emerging trends\n\n2. **Key Findings**:\n   - Top 3-5 most important insights\n   - Supporting evidence for each finding\n   - Confidence level in each finding\n   - Implications and applications\n\n3. **Knowledge Gaps**:\n   - Questions that remain unanswered\n   - Areas needing further research\n   - Limitations of current knowledge\n   - Recommendations for additional investigation\n\n4. **Actionable Insights**:\n   - What decisions can be made now?\n   - What additional information is needed?\n   - What are the recommended next steps?\n   - What are the risk factors or considerations?\n\n**Output**: Synthesis report with findings, insights, and recommendations\n\n---\n\n## Step 6: Documentation\n\n**Purpose**: Create clear, usable documentation of research process and findings.\n\n**Documentation Structure**:\n1. **Research Summary**:\n   - Research objectives and questions\n   - Methodology and sources used\n   - Key findings (executive summary)\n   - Main conclusions and recommendations\n\n2. **Detailed Findings**:\n   - Organized by theme or question\n   - Supporting evidence for each finding\n   - Source references and citations\n   - Data visualizations (charts, graphs if applicable)\n\n3. **Appendices**:\n   - Complete source list with URLs\n   - Data tables and raw information\n   - Methodology details\n   - Quality assessment notes\n\n4. **Recommendations**:\n   - Action items based on findings\n   - Areas requiring further investigation\n   - Confidence levels for recommendations\n   - Timeline considerations\n\n**Documentation Best Practices**:\n- Clear section headers and organization\n- In-text citations for all claims\n- Bibliography or reference list\n- Date of research and sources\n- Clear indication of evidence strength\n\n**Output**: Complete research report with findings, sources, and recommendations\n\n---\n\n## Output Format\n\n**For Research Tasks**:\n- Research objectives and questions defined\n- Systematic information collection\n- Critical analysis of sources\n- Synthesized findings with evidence\n- Actionable recommendations\n\n**For Analysis Tasks**:\n- Evaluated information quality\n- Identified patterns and insights\n- Assessed evidence strength\n- Highlighted knowledge gaps\n- Provided clear conclusions\n\n**For Investigation Tasks**:\n- Root cause analysis\n- Evidence-based explanations\n- Multiple hypotheses evaluated\n- Recommended solutions with rationale\n- Implementation considerations\n\n---\n\n## Best Practices\n\n**Research Quality**:\n✅ **Do**:\n- Start with clear research questions\n- Use multiple, credible sources\n- Evaluate source quality and bias\n- Document methodology and sources\n- Distinguish between strong and weak evidence\n\n❌ **Don't**:\n- Accept information at face value\n- Rely on single sources\n- Ignore source credibility\n- Skip documentation methodology\n- Treat all evidence as equal\n\n**Analysis Quality**:\n✅ **Do**:\n- Look for patterns across sources\n- Identify areas of agreement\u002Fdisagreement\n- Assess evidence strength critically\n- Acknowledge limitations and gaps\n- Provide confidence levels\n\n❌ **Don't**:\n- Cherry-pick supporting evidence\n- Ignore contradictory information\n- Overstate confidence in findings\n- Draw conclusions beyond evidence\n- Make claims without support\n\n---\n\n## Common Mistakes to Avoid\n\n**Research Anti-Patterns**:\n1. **Confirmation Bias**: Only seeking information that supports pre-existing beliefs\n2. **Source Neglect**: Failing to evaluate source credibility or currency\n3. **Scope Creep**: Expanding research beyond original objectives\n4. **Analysis Paralysis**: Getting stuck in endless research without synthesis\n5. **Documentation Debt**: Failing to document sources and methodology\n\n**Analysis Anti-Patterns**:\n1. **False Equivalence**: Treating weak evidence equal to strong evidence\n2. **Overgeneralization**: Drawing broad conclusions from limited data\n3. **Citation Neglect**: Failing to properly attribute sources\n4. **Methodology Omission**: Not documenting how research was conducted\n5. **Gap Ignorance**: Failing to acknowledge limitations in knowledge\n\n---\n\n## Related Skills\n\n- **documentation-writing**: For documenting research findings\n- **technical-writing**: For creating technical research reports\n- **critical-thinking**: For evaluating information quality\n- **data-analysis**: For working with quantitative data\n\n---\n\n## Research Tools and Techniques\n\n**Source Evaluation**:\n- CRAAP test (Currency, Relevance, Authority, Accuracy, Purpose)\n- SIFT method (Stop, Investigate, Find, Trace)\n- Evidence hierarchy (primary > secondary > tertiary)\n\n**Synthesis Techniques**:\n- Thematic analysis\n- Comparative analysis\n- Meta-analysis (for quantitative research)\n- Narrative synthesis (for qualitative research)\n\n**Documentation Tools**:\n- Citation managers (Zotero, Mendeley)\n- Note-taking apps (Notion, Obsidian)\n- Reference management tools\n- Bibliography generators\n",{"name":5,"owner":23,"scope":24,"status":25,"version":26,"metadata":27,"relates_to":37,"description":41,"gemini-parity":42,"last_reviewed":43,"prerequisites":44},"pm","common","active","1.0.2",{"type":28,"triggers":29},"process",[30,31,32,33,34,35,36],"research","analyze","investigate","synthesize","evidence gathering","data analysis","literature review",[38],{"type":39,"skill":40},"enables","documentation-writing","Conducts systematic research, data synthesis, and evidence-based analysis to support decision-making and documentation. 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