Search Skills

Conducts comprehensive security reviews of Terraform provider code using gosec, Trivy, and osv-scanner.

Generates verified Lightdash API clients through documentation research and live schema validation for accurate integration.

Automates conversion of GitHub PR review comments into actionable tasks for efficient code review management.

Orchestrates AI code reviews via Codex Ultra/Gemini Ultra and generates structured review reports with status and description.

Automates a multi-step coding workflow including AI-assisted implementation, unit testing, and iterative fixes within a single session.

Automates the coding-review loop by executing coding and review skills, looping based on report status per taskforce_coding_team.md.

Analyzes high-performing X/Twitter content to identify trends, patterns, and competitor strategies for data-driven content planning.

Automates Instagram content research by analyzing top-performing posts and reels, identifying trends, and generating actionable reports with hook formulas for marketing teams.

Researches high-performing YouTube videos in a niche, identifies outliers, analyzes top videos with AI, and generates actionable content ideas and hook formulas.

Automates TikTok content research by scraping, analyzing top-performing videos, and generating actionable reports with hook formulas for content strategy.

Orchestrates multi-platform social media research and aggregates findings into actionable content plans and platform-specific strategy playbooks.

Analyzes short-form video content (TikTok, Reels, Shorts) using AI to identify hooks, structure, and performance patterns for content creators.

Enables advanced search and exploration of GitHub repositories, code, issues, and commits for efficient information gathering.

Guides teams through an iterative development cycle including work, test, check, feedback, and completion for efficient software delivery.

Guides Pester v5+ usage for PowerShell unit testing, including mocking, test isolation, and CI/CD report generation.

A language-agnostic rulebook for writing, reviewing, and refactoring code to achieve elegance, cleanliness, and maintainability in any programming context.

Provides extended context analysis for large codebases using Gemini CLI when Claude's context limits are exceeded.

Enables agents to analyze existing skills, identify gaps and inaccuracies, and contribute validated improvements to the shared knowledge base for collective learning.

Enables development and modification of the AILANG Collaboration Hub's React-based frontend, including dashboard, queue, and messaging features.

Enables headless execution of Claude Code for seamless CI/CD pipeline integration and automated agent workflows.

Guides development and registration of AILANG built-in functions, reducing development time by 67%.

Optimizes and manages AI language model prompts for conciseness, accuracy, and effectiveness in educational contexts.

Manages AI language model evaluation benchmarks, including creation, issue resolution, debugging, and result analysis.

Automates software release creation with version bumps, changelog updates, git tagging, and CI/CD verification for the AILANG project.