plugins/ai-pilot/skills/research/SKILL.md
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
npx skillsauth add fusengine/agents researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Session: ${CLAUDE_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-iddevelopment
Use when optimizing entity-based / semantic SEO 2026. Covers entity maps, Google Knowledge Graph resolution, salience scoring, passage-level ranking, about/sameAs/knowsAbout schema, Cloud Natural Language API validation.
development
Use when running SEO, GEO, schema, Core Web Vitals, sitemap, hreflang, E-E-A-T, AI Overviews, technical SEO, or structured data tasks. Covers full-site audits, single-page analysis, schema markup, content quality, AI search optimization, local SEO, sitemap/robots, internal linking, semantic clustering, and search experience.
development
Use when optimizing search experience (SXO). Covers intent matching, user personas, user stories, page-type analysis, dwell time, scroll depth, pogo-sticking prevention.
development
Use when optimizing local SEO. Covers Google Business Profile, NAP consistency, citations, reviews acquisition, Local Pack ranking, location pages, LocalBusiness schema.