create-research-brief
Two-phase research design and consolidation skill for multi-LLM optimized research
npx skills add majiayu000/claude-skill-registry --skill create-research-brief --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Create Research Brief A comprehensive two-phase skill for designing multi-LLM research strategies (Phase 1) and consolidating multi-model outputs into actionable intelligence (Phase 2). --- ## 1. Purpose This skill provides 9 core capabilities: | # | Capability | Phase | Description | |---|------------|-------|-------------| | 1 | **Decompose** | 1 | Break research questions into MECE structures | | 2 | **Assign** | 1 | Map question categories to optimal LLMs | | 3 | **Assess** | 1 | Evaluate research risks at appropriate depth | | 4 | **Generate** | 1 | Produce model-specific optimized prompts | | 5 | **Consolidate** | 2 | Synthesize multi-model outputs into unified findings | | 6 | **Resolve** | 2 | Handle conflicting information with WWHTBT protocol | | 7 | **Classify** | 2 | Score evidence quality and tag uncertainty types | | 8 | **Detect** | 2 | Identify coverage gaps and unknown unknowns | | 9 | **Produce** | 2 | Generate tiered, decision-ready research reports | --- ## Checkpoints This skill uses interactive checkpoints (see `references/checkpoints.yaml`) to resolve ambiguity: - **research_type_classification** — When research type is ambiguous - **risk_depth_selection**
- 1. Purpose
- Checkpoints
- 2. Two-Phase Workflow
- Phase 1: Research Design (Before Research)
- Phase 2: Consolidation (After Research)
- 3. Parameters
- 4. Model Strengths & Assignment
- Model Profiles
- Default Category Assignments
- 5. Risk Assessment Depths
- Quick (5 Factors)
- Standard (+ Bias Audit)
- Comprehensive (+ Base Rates)
- 6. MECE Decomposition Patterns
What does the create-research-brief skill do?
Two-phase research design and consolidation skill for multi-LLM optimized research
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill create-research-brief --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.