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Capture Git Diff for Workflow Automation

opensquilla/opensquilla

This skill provides a direct, fast shell invocation to capture the current git diff (staged, working-tree, or specific file list) as raw text. It is designed to replace slower LLM agent steps that merely execute 'git diff' commands, significantly speeding up CI/CD workflows and meta-steps that require repository state analysis.

GitHub CLI for Repository Automation

opensquilla/opensquilla

A comprehensive guide to using the GitHub CLI (`gh`) for programmatic interaction with repositories. This tool allows users to list, manage, and review Pull Requests (PRs), create and triage issues, check CI/workflow status, and execute advanced API queries directly from the terminal, making it essential for scripting and automated DevOps workflows.

GitHub PR Triage and Digest

meta-github-pr-watch-digest

opensquilla/opensquilla

This meta-skill automatically inspects open GitHub Pull Requests, failing CI runs, and new issues. It utilizes the GitHub API to gather critical updates and summarizes the findings into three actionable buckets (To Review, Awaiting Me, CI Red). Finally, it persists follow-up tasks to long-term memory, helping developers efficiently prioritize their daily workflow.

Structured IT Troubleshooting and Support Plan

meta-home-it-rescue

opensquilla/opensquilla

Designed for complex troubleshooting in home or small-team environments. This meta-skill orchestrates the entire process, guiding users through symptom intake, environment capture, external knowledge lookup, and generating a safe, step-by-step, and reversible repair plan for issues involving networks, Docker, Git, printers, and more.

Automated Issue to Pull Request Pipeline

meta-issue-to-pr-autopilot

opensquilla/opensquilla

This meta-skill automates the process of handling a GitHub issue by fetching context, delegating the fix to a sub-agent, summarizing the resolution, and finally opening a pull request (PR). It is best suited for small, well-scoped issues with clear acceptance criteria. This pipeline simulates a complete development workflow.

Knowledge Base Bootstrap Pipeline

meta-knowledge-base-bootstrap

opensquilla/opensquilla

This meta-skill provides a complete pipeline to bootstrap a domain knowledge base from any single seed input (URL, PDF, Git repository, or free text). It automatically classifies the source type, ingests the content using a multi-search engine, persists the summary to memory, and finally generates a structured XLSX index file, making the information immediately searchable and usable.

Meeting Notes to Actionable Workflow

meta-meeting-to-workflow

opensquilla/opensquilla

This meta-skill converts messy meeting inputs—such as transcripts, rough notes, or recordings—into highly structured, actionable outputs. It automatically extracts key decisions, assigns owners, generates follow-up tasks, and creates drafts for popular collaboration platforms like GitHub, Trello, or Notion, ensuring continuity from discussion to execution.

Automated PR Review and CI Auto-Fix

pr-review-ci-fix

ComposioHQ/awesome-codex-skills

Use the Composio CLI to automate the entire Pull Request review and Continuous Integration (CI) triage process for GitHub and GitLab. This tool fetches code diffs, analyzes failure logs, posts detailed inline review comments, and iteratively patches and re-runs CI checks until the code passes, significantly enhancing code quality and developer efficiency.

Install AI Skills From GitHub Repos

skill-installer

ComposioHQ/awesome-codex-skills

A utility for managing and installing specialized AI skills into the Codex environment. It supports fetching curated skills from predefined sources (like openai/skills) or installing custom capabilities directly from any GitHub repository, including private ones. It handles listing available skills, installing specific modules, and provides robust fallback methods (download/git sparse checkout).

Upload Assets to Stitch Project

stitch-upload-to-stitch

google-labs-code/stitch-skills

This skill provides a robust method for uploading local digital assets, including images, mockups, and full HTML files, to a Stitch project. It bypasses the limitations of standard tool calls by streaming files directly over HTTP, ensuring that large visual assets or complex web pages can be processed accurately for your design and prototyping workflow. Ideal for integrating local design iterations into cloud-based prototypes.

Analyze and Optimize AWS Costs

aws-cost-optimize

github/awesome-copilot

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

AWS Well-Architected Review Workflow

aws-well-architected-review

github/awesome-copilot

This automated workflow performs a comprehensive review against the AWS Well-Architected Framework (WAF). It scans IaC definitions (Terraform, CloudFormation, CDK) and deployed resources to identify compliance gaps, security risks, and optimization opportunities across six core pillars. Findings are structured and automatically generated as actionable GitHub issues with remediation code examples.

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