github-wayback-recovery
Recover deleted GitHub repository content, issues, PRs, and files using Wayback Machine CDX API queries and web archive snapshots.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
503 skills found
Recover deleted GitHub repository content, issues, PRs, and files using Wayback Machine CDX API queries and web archive snapshots.
Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.
Act as a skeptical technical recruiter to evaluate daily.dev Recruiter features. Review UI/UX, code, and workflows through the lens of a hiring platform built for high-quality developer-recruiter matching.
Automated code quality validation tool for pre-commit and pre-deploy checks, covering TypeScript, builds, and linting.
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
A specialized decision-making agent for complex architectural choices, task planning, and error resolution within the orchestration system.
Review backend pull requests with security enforcement and GitHub CLI integration in a strict read-only environment.
Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.
Interactive Archon integration for knowledge base and project management. Features RAG-powered semantic search, website crawling, document versioning, and hierarchical task management via REST API.
Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.