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
Not yet reviewedConfidence
Awaiting review
Verdict
PendingGritFlow hasn't completed a security review of cove yet, so we don't make a safety claim about it. Review the skill's code and source repository before installing it.
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.
GritFlow tracks 126 skills in the ai-ml category. Browse the category page to compare alternatives by trust level, quality score, and features.
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.
