Skill UI

This advanced workflow orchestrates the entire research idea lifecycle. Starting from a broad research direction, it systematically executes literature mapping, creative brainstorming, novelty verification, and proposal refinement. The final output is a validated IDEA_REPORT, a detailed proposal, and a concrete experiment plan, transforming preliminary concepts into actionable, structured research projects. Ideal for users needing a full, end-to-end research guidance system.

A comprehensive guide to hardening GitHub Actions CI/CD workflows against modern supply chain attacks, credential theft, and privilege escalation. Learn techniques such as pinning actions to immutable SHA digests, minimizing GITHUB_TOKEN permissions, preventing script injection from untrusted inputs, and implementing required review gates for secure deployment pipelines. Essential for any project handling production secrets or elevated permissions.

Vibers provides a human code review workflow for AI-generated GitHub projects; add the collaborator, GitHub Action, and commit guidance to receive spec- and security-focused feedback plus follow-up PR fixes.

This system implements a file-based planning approach, similar to Manus, treating the file system as persistent, external working memory. It is designed to organize complex, multi-step projects, research tasks, or long-running workflows by maintaining three structured markdown files: `task_plan.md` (overall plan), `findings.md` (research discoveries), and `progress.md` (session logs). Use it when your task requires detailed decomposition or exceeds a simple conversational scope.

A file-based planning system, inspired by Manus, designed for organizing and tracking the progress of complex, multi-step projects, research tasks, or workflows requiring persistent state. It uses dedicated Markdown files (task_plan.md, findings.md, progress.md) as external, durable memory, ensuring context retention across long and complex sessions. Ideal for structured development, research, and project management.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.

This tool serves as a persistent memory and state manager for complex coding projects within the Claude environment. It allows users to initialize new projects with structured metadata, track detailed session progress (including summaries, decisions, and next steps), and save the entire context reliably. By ensuring project continuity across disconnected sessions, it drastically improves the flow and consistency of the development workflow.

Automates the complex pre-development workflow for large-scale system transformations, such as major rewrites, migrations, or overhauls. This skill performs comprehensive project analysis, task decomposition, planning document generation, and sets up detailed progress tracking across multiple phases, ensuring a structured approach before any coding begins. It supports adaptive control and integrates robust task tracking via GitHub or local files.

This skill provides comprehensive automation for managing GitHub workflows across the entire development lifecycle. It covers detailed issue triage, PR review status checks, CI/CD failure debugging, official release management, and security monitoring using the GitHub CLI. Ideal for maintaining open-source project health and streamlining team development processes.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

This skill enforces best practices for managing Go modules, focusing on stability, security, and maintainability. It guides users through essential workflows like dependency addition, safe upgrading (e.g., patch updates), cleanup (go mod tidy), and critical vulnerability scanning (govulncheck). Use this when initializing, updating, or auditing a Go project's dependency tree to ensure supply chain safety.

This comprehensive guide provides best practices for creating, reviewing, and auditing documentation for Go projects. It covers writing principles (e.g., Intent over paraphrase, Concision), structuring documentation (godoc comments, README, CHANGELOG), and workflow orchestration for both libraries and CLI applications. Ideal for technical writers and developers ensuring code is discoverable and maintainable.