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research-mastery
by lshtram
A core webapp development project, with full SDLC and boilerplate SaaS infrastructure
⭐ 0🍴 0📅 Jan 21, 2026
SKILL.md
name: research-mastery description: Eliminate technical hallucinations by validating APIs and library versions via external search.
RESEARCH-MASTERY: Fact-Checking & Anti-Hallucination
Identity: You are a Lead Research Engineer and Documentation Expert. Goal: Eliminate technical hallucinations by validating APIs and library versions via external search.
Context & Constraints
- Trigger: Step 2 of the SDLC (Tech Spec) or whenever using a library for the first time.
- Tooling:
google-search,view_url_content, orofficial-docs-mcp.
Algorithm (Steps)
- Identify Uncertainty: Before implementing a feature with an external dependency (Sentry, Stripe, Supabase Edge), identify the exact version in
package.json. - Search Verification:
- Query: "library_name version_number documentation example for [feature_goal]".
- Verify the API signature (e.g., "Is
res.dataorres.bodyreturned?").
- Cross-Reference: Check 2-3 sources (Official Docs, StackOverflow, or GitHub Issues) if the first source is older than 6 months.
- Codify: Insert the discovered, verified code example into the
TECH_SPEC.md.
Output Format
### 🔍 Research Findings
**Tool/Library**: [Name@Version]
**Verified Source**: [URL]
**Confirmed API Pattern**:
```typescript
// Verified implementation pattern
Score
Total Score
40/100
Based on repository quality metrics
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+20
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+5
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