This skill should be used when synthesizing multi-source research, presenting findings with attribution, or when report, findings, or synthesis are mentioned.
Synthesizes research from multiple sources, assesses credibility, and presents findings with confidence levels and proper attribution.
npx claudepluginhub outfitter-dev/outfitterThis skill inherits all available tools. When active, it can use any tool Claude has access to.
references/comparison-methods.mdreferences/output-template.mdreferences/source-tiers.mdMulti-source gathering → authority assessment → cross-reference → synthesize → present with confidence.
<when_to_use>
NOT for: single-source summaries, opinion without evidence, rushing to conclusions
</when_to_use>
<source_authority>
| Tier | Confidence | Types | Use For |
|---|---|---|---|
| 1: Primary | 90-100% | Official docs, original research, direct observation | Factual claims, guarantees |
| 2: Secondary | 70-90% | Expert analysis, established publications, official guides | Best practices, patterns |
| 3: Community | 50-70% | Q&A sites, blogs, wikis, anecdotal evidence | Workarounds, pitfalls |
| 4: Unverified | 0-50% | Unattributed, outdated, content farms, unchecked AI | Initial leads only |
See source-tiers.md for detailed assessment criteria.
</source_authority>
<cross_referencing>
Never rely on single source for critical claims:
When sources disagree:
For complex questions, seek alignment across:
All three align → high confidence. Mismatches → investigate the gap.
</cross_referencing>
<comparison_analysis>
Three comparison methods:
| Method | When to Use |
|---|---|
| Feature Matrix | Side-by-side capability comparison |
| Trade-off Analysis | Strengths/weaknesses/use cases per option |
| Weighted Matrix | Quantitative scoring with importance weights |
See comparison-methods.md for templates and examples.
</comparison_analysis>
<synthesis_techniques>
Across sources, identify:
</synthesis_techniques>
<confidence_calibration>
| Level | Indicator | Criteria |
|---|---|---|
| High | 90-100% | 3+ tier-1 sources agree, empirically verified |
| Moderate | 60-89% | 2 tier-2 sources agree, some empirical support |
| Low | Below 60% | Single source or tier-3 only, unverified |
Flag remaining uncertainties even at high confidence.
</confidence_calibration>
<output_format>
Standard report structure:
## Summary
{ 1-2 sentence answer }
## Key Findings
1. {FINDING} — evidence: {SOURCE}
## Comparison (if applicable)
{ matrix or trade-off analysis }
## Confidence Assessment
Overall: {LEVEL} {PERCENTAGE}%
## Sources
- [Source](url) — tier {N}
## Caveats
{ uncertainties, gaps, assumptions }
See output-template.md for full template with guidelines.
</output_format>
<rules>ALWAYS:
NEVER:
Research vs Report-Findings:
research skill covers the full investigation workflow using MCP toolsreport-findings) covers synthesis, source assessment, and presentationLoad this skill during research synthesis stage, or standalone for any task requiring multi-source synthesis with proper attribution.
</references>Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.