Versioned AI development workflow standard for BDA teams: neutral commands, verification, feedback loop, Codex and Claude support
bda-ai-dev-standard is a Claude Code agent skill that versioned AI development workflow standard for BDA teams: neutral commands, verification, feedback loop, Codex and Claude support.
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Versioned AI development workflow standard for BDA teams: neutral commands, verification, feedback loop, Codex and Claude support
Source: https://github.com/BigDataAgency/bda-ai-dev-standard
Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
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Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.