一键导入
research
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, or colorize a frontend interface. Covers websites, landing pages, dashboards, product UI, components, forms, onboarding, empty states. Handles UX review, hierarchy, accessibility, responsive behavior, theming, typography, layout, color, motion, UX copy, design tokens. Also bolder/quieter redesigns, live browser iteration, ambitious visual effects.
Use when creating expert agents. Generates agent.md with frontmatter, hooks, required sections, and skill references.
Systematic development workflow: Analyze → Plan → Execute → eLicit → eXamine. Use for ANY development task: features, bug fixes, refactoring, hotfixes. Triggers: "implement", "create", "build", "fix", "add feature", "refactor", "develop". Auto-detects project type (Laravel, Next.js, React, Swift) and loads framework-specific references. Enforces: files <100 lines, interfaces separated, SOLID principles, expert self-review, sniper validation.
Use when user requests creative work - creating features, building components, adding functionality, or modifying behavior. Activates BEFORE APEX Analyze phase to refine requirements through structured questioning.
Code quality validation with linters, SOLID principles, DRY detection, error detection, and architecture compliance across all languages.
Auto-review skill for expert agents. After coding, expert applies elicitation techniques to self-correct before sniper validation. Inspired by BMAD-METHOD.
| name | research |
| description | Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations. |
Session: ${CODEX_SESSION_ID}
Research Topic: $ARGUMENTS
1. THINK → Sequential Thinking decomposition
2. RESOLVE → Context7 resolve-library-id
3. DOCUMENT → Context7 query-docs (5000-10000 tokens)
4. SUPPLEMENT → Exa code context search
5. SYNTHESIZE → Structured answer with sources
1. DEEP THINK → Multi-hypothesis Sequential Thinking
2. DEEP RESEARCH → Exa deep researcher (45s-2min)
3. MONITOR → Check status until completed
4. VALIDATE → Cross-check Context7 official sources
5. REPORT → Comprehensive solution
1. WEB SCAN → Exa search latest developments
2. CODE PATTERNS → Exa code context for practices
3. ECOSYSTEM → Company research for key players
4. ANALYSIS → Sequential Thinking for implications
5. RECOMMENDATIONS → Actionable insights
// Step 1: Resolve library ID
mcp__context7__resolve-library-id({
libraryName: "next.js",
query: "App Router server actions"
})
// Step 2: Query docs
mcp__context7__query-docs({
libraryId: "/vercel/next.js",
query: "server actions authentication"
})
Best Practices:
resolve-library-id BEFORE query-docstopic parameter to focus retrieval| Type | Use Case | Time | numResults |
|---|---|---|---|
fast | Quick lookups | <5s | 3-5 |
auto | Balanced | 5-15s | 5-8 |
deep | Comprehensive | 15-45s | 8+ |
// Code context search
mcp__exa__get_code_context_exa({
query: "Next.js 16 server actions authentication",
tokensNum: 5000
})
// Web search
mcp__exa__web_search_exa({
query: "React 2025 best practices",
type: "auto",
numResults: 5
})
Reserve for investigations requiring >30min manual effort.
// Start research
const { taskId } = await mcp__exa__deep_researcher_start({
instructions: "Compare authentication solutions for Node.js",
model: "exa-research-pro" // or "exa-research" for faster
})
// Poll until complete
mcp__exa__deep_researcher_check({ taskId })
Models:
exa-research: Standard depth (15-45s)exa-research-pro: Complex topics (45s-2min)mcp__sequential-thinking__sequentialthinking({
thought: "Analyzing authentication approaches",
thoughtNumber: 1,
totalThoughts: 5,
nextThoughtNeeded: true,
// Optional for revisions:
isRevision: false,
revisesThought: null,
branchId: null,
branchFromThought: null,
needsMoreThoughts: false
})
Best Practices:
totalThoughts, adjust dynamicallyisRevision: true to reconsider hypothesesbranchId) for alternativesneedsMoreThoughts: true if incompleteParallelization:
resolve-library-id + web_search_exa simultaneouslySource Priority:
## 🔍 Research: [Topic]
### Methodology
- Sequential Thinking: [N thoughts, M revisions]
- Context7: [Library@version consulted]
- Exa: [Search types performed]
### Key Findings
1. **[Finding 1]** (Source: [URL])
- Technical details
- Code examples
2. **[Finding 2]** (Source: [URL])
### Recommendations
- [Action 1]: [Why + How]
- [Action 2]: [Why + How]
### Sources
- Context7: [Exact library IDs]
- Exa: [X results analyzed]
- Deep Research: [Task ID if used]
Context7 Failures:
Exa Timeouts:
numResultstype: "deep" → type: "fast"Sequential Thinking Blocks:
isRevision: truetotalThoughtsresolve-library-id