Why should I use Tech Research Enforcer instead of standard Claude responses?

Standard AI knowledge is limited by training data cutoffs; this skill forces real-time verification of the latest APIs, libraries, and documentation to ensure accuracy.

Which technical domains does this skill cover?

It covers programming languages, web frameworks, cloud platforms (AWS/Azure/GCP), DevOps tools (Docker/K8s), databases, and CI/CD platforms.

Does this skill rely only on search snippets?

No, the skill specifically mandates using web_fetch to retrieve full documentation pages to provide complete context and verify exact syntax.

How does it handle version-specific technical questions?

It identifies the specific version requested and searches for that version's official documentation or changelogs to avoid compatibility errors.

Tech Research Enforcer

Name: Tech Research Enforcer
Author: jayteealao

byjayteealao

部署与 DevOps

Enforces mandatory, iterative web research to ensure Claude provides accurate, up-to-date technical documentation and prevents coding hallucinations.

关于

Tech Research Enforcer is a specialized skill designed to eliminate outdated or incorrect technical advice by mandating a strict 'verify-first' workflow. It systematically guides Claude to identify critical technical assumptions, search authoritative sources like official documentation and GitHub repositories, and fetch full pages rather than relying on search snippets. This is essential for developers working with rapidly evolving frameworks, cloud configurations, and DevOps tools where accuracy and version-specific syntax are critical for production stability and avoiding deprecated patterns.

主要功能

0 GitHub stars
Mandatory 'verify-first' workflow for all technical and DevOps queries
Prioritization of authoritative sources like official docs and GitHub READMEs
Source attribution and version awareness built into every response
Iterative search strategies to resolve version-specific ambiguities
Prevention of memory-based hallucinations for APIs and CLI syntax

使用场景

Verifying current API syntax for rapidly updating libraries like FastAPI or React
Confirming complex Kubernetes or Terraform configuration schemas against latest releases
Troubleshooting error messages using real-time searches of GitHub issues and official documentation

关于

主要功能

0 GitHub stars
Mandatory 'verify-first' workflow for all technical and DevOps queries
Prioritization of authoritative sources like official docs and GitHub READMEs
Source attribution and version awareness built into every response
Iterative search strategies to resolve version-specific ambiguities
Prevention of memory-based hallucinations for APIs and CLI syntax

使用场景

Verifying current API syntax for rapidly updating libraries like FastAPI or React
Confirming complex Kubernetes or Terraform configuration schemas against latest releases
Troubleshooting error messages using real-time searches of GitHub issues and official documentation