by serpro69/ktchn8s
Apply Chain-of-Verification (CoVe) prompting to improve response accuracy through self-verification. Use for complex questions requiring fact-checking, technical accuracy, or multi-step reasoning.
Trust Level
BasicConfidence
50%
Verdict
Pendingcove is pending full security review. Trust level: 2/5. GritFlow's 4-layer scanning is in progress.
Install by adding the skill from the source repository. Check the skill's README for specific instructions.
cove is licensed under MIT. This is a permissive open-source license suitable for commercial use.
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Apply Chain-of-Verification (CoVe) prompting to improve response accuracy through self-verification. Use for complex questions requiring fact-checking, technical accuracy, or multi-step reasoning.
dbt-core
Guide AI agents through a systematic, user-choice-driven installation process for dbt-core on local machines. The agent runs diagnostic scripts, presents options to users, and executes non-interactive installation scripts based on user preferences.
agent-rules
Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.
dbt-artifacts
This skill enables AI agents to help users monitor dbt execution using the brooklyn-data/dbt_artifacts package. The package captures detailed execution metadata during dbt runs and stores it in queryable tables for analysis and monitoring.
