Explore our collection of Agent Skills to enhance your AI workflow.
Automates the creation, validation, and management of specialized agent skills using structured templates, PEP 723 Python scripts, and standardized workflows.
Manages installation, version tracking, and updates for AI CLI tools including Claude Code, Gemini CLI, and Codex CLI.
Transforms pandas dataframes using AI-powered qualitative ranking, semantic deduplication, and research-based filtering.
Validates agent YAML frontmatter and configurations to ensure compatibility with ML Odyssey requirements.
Analyzes code complexity metrics like cyclomatic complexity and nesting depth to identify refactoring candidates and maintain code quality.
Automates the resolution of code formatting issues for Mojo, Markdown, and configuration files to ensure project-wide style consistency and CI compliance.
Diagnoses CI/CD pipeline failures by parsing logs and identifying root cause patterns for faster remediation.
Enables rapid navigation between isolated Git worktrees to facilitate seamless context switching and parallel feature development.
Analyzes Mojo source code to identify and implement SIMD optimization opportunities for high-performance tensor and array operations.
Verifies Mojo memory safety rules including ownership, borrowing, and lifetime management to prevent segfaults and leaks.
Automates the synchronization of GitHub issue descriptions from local markdown plan files (Deprecated).
Coordinates software implementation phases by delegating granular tasks to specialized engineering roles while enforcing strict Mojo code quality standards.
Generates standardized 9-section project plan documentation to ensure architectural consistency and measurable development goals.
Validates GitHub Actions workflow files for syntax, best practices, and correctness to ensure reliable CI/CD pipelines.
Validates Mojo source code against version 0.26.1+ standards to identify syntax errors and deprecated patterns before compilation.
Monitors project completion by tracking GitHub issues to identify blockers and provide detailed implementation status reports.
Automates the simultaneous merging of multiple GitHub Pull Requests based on specific labels to streamline repository maintenance.
Generates and analyzes detailed test coverage reports to identify untested code paths and ensure high software quality.
Verifies and enforces epistemic quality in documents to prevent LLM hallucinations within RAG systems and knowledge bases.
Creates GitHub pull requests that are automatically linked to specific issues to ensure traceability and streamlined project management.
Enforces document epistemic quality and uncertainty markers to prevent confident LLM hallucinations in RAG systems.
Enforces epistemic quality and uncertainty markers in documents to prevent hallucinations in RAG systems and LLM workflows.
Verifies complete agent system coverage across hierarchy levels, development phases, and project sections.
Validates markdown-based project plans and structural hierarchies against standardized templates within the ProjectOdyssey framework.
Automates the identification, categorization, and resolution of technical debt through a systematic FIXME and TODO cleanup workflow.
Validates and fixes Markdown file formatting, style, and structure to ensure professional-grade documentation standards.
Validates GitHub pull requests by checking CI status, review approvals, and merge conflicts to ensure production readiness.
Formats Mojo source code automatically to ensure adherence to language style standards and consistency across projects.
Responds to specific inline code review comments on GitHub Pull Requests using optimized API endpoints.
Automates comprehensive GitHub pull request reviews by evaluating code quality, CI status, and adherence to project standards.
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