git-commit
Execute git commits with conventional commit message analysis, intelligent file staging, and automated semantic message generation based on code diffs.
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485 skills found
Execute git commits with conventional commit message analysis, intelligent file staging, and automated semantic message generation based on code diffs.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.
Programmatic parametric CAD for AI agents. Create 3D models, mechanical parts, and complex geometries via MCP tools with support for boolean operations, patterns, and multi-format exports (STL, GLB, STEP).
Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.
Apply behavioral science, mental models, and psychological principles to marketing strategy, copywriting, and decision-making.
An AI-powered engine for creating high-performing LinkedIn posts, featuring research-backed hooks, proven structures, and engagement-focused formatting for B2B, thought leadership, and founder content.
Intelligent research agent that automatically routes queries between fast web search, deep multi-source synthesis, and academic database lookups.
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.