Search results for "GitHub"

AI Tools

The Tip Engineering Guide is the world's most popular open-source tip engineering learning project initiated by the renowned AI research institution DAIR.AI. It has accumulated over 30000 stars on GitHub and covers the entire knowledge system from basic principles to advanced technologies. The

AI Tools

Visual Studio is Microsoft's most popular integrated development environment (IDE) worldwide. The 2026 version is fully AI-enabled, deeply integrated with GitHub Copilot, and supports .NET 10, C# 14, and C++ 23/26. It offers features such as intelligent code completion, AI-assisted debugging, asynchronous cloud tasks, and personalized Fluent UI themes.

AI Tools

Hugging Face is a leading global AI open-source community and model hosting platform, widely hailed as the "GitHub of machine learning." It provides core services such as model libraries, datasets, and Spaces application hosting, aggregating over 2.7 million models, 950,000 datasets, and 1.2 million AI applications. Through open-source tool libraries like Transformers, the platform significantly lowers the barrier to AI development, becoming an indispensable infrastructure for modern AI developers.

AI Tools

GitHub Copilot is an AI pair programmer by GitHub that provides intelligent code completion, explanations, edit suggestions, and autonomous agent execution across VS Code, JetBrains, CLI, and more. It integrates leading LLMs (OpenAI Codex, Claude) and supports custom agents. The GitHub Copilot app enables unified multi-agent workflow management. Enterprise plans allow customized knowledge bases, behavior policies, and service connections, boosting developer productivity by 94% for companies like Grupo Boticário.

ClawSweeper: Automated Warehouse Work Order Cleanup and Inspection Capability

ClawSweeper is an intelligent DevOps agent skill designed for OpenClaw to automate issue management in GitHub projects. It automatically scans repository issues and pull requests (PRs) to identify invalid items—such as those that are stale, unreproducible, or already resolved—and uses AI to generate standardized closing comments for batch archiving, thereby reducing manual maintenance effort. It features built-in safety safeguards to prevent the accidental closure of issues marked with protected labels, linked to active PRs, or created by administrators. Additionally, it supports scheduled polling, manual trigger commands, issue status queries, and the automatic submission of fix PRs.

Skills for comprehensive verification of release integrity

"Verify Release" is a read-only verification tool designed to confirm whether an OpenClaw release has been fully deployed across GitHub, npm, the plugin ecosystem, ClawHub, package smoke tests, and Live Gateway proxy calls. It does not perform any actual release operations (which are handled by `release-openclaw-maintainer`); instead, it simply answers questions such as "Has a specific version been fully released, deployed, and cleared for smoke and Live testing?" and provides a "yes" or "no" conclusion based on an evidence-driven checklist.

OpenClaw Secret Scanning Maintainer

OpenClaw Secret Scanning Maintainer is an AI assistant skill designed for the OpenClaw project, aimed at automatically detecting, scanning, and maintaining sensitive information (such as keys, tokens, passwords) in code. Based on scripts and configurations in the GitHub repository, it helps developers prevent sensitive data leaks and ensure code security. This skill is suitable for CI/CD environments, can be integrated into development workflows, and provides real-time scanning and alerting to enhance project security.

Gitcrawl —— 本地GitHub归档搜索与PR状态同步技能

Gitcrawl is a tool designed for searching and interacting with GitHub issues and pull requests, prioritizing local archives. Its core philosophy is to utilize locally cached archive data before calling the live GitHub API, thereby improving search efficiency and reducing real-time dependency on the API. Built as a Go module, it can be installed using the command: `go install github.com/openclaw/gitcrawl/cmd/gitcrawl@latest`.

agent-transcript

Add a redacted agent transcript section to GitHub PR or issue bodies during OpenClaw agent-created PR/issue workflows.

Skills in end-to-end release verification and CI monitoring

Release OpenClaw CI is a capability designed to execute, monitor, debug, and summarize the full release CI process for OpenClaw. Working in conjunction with `release-openclaw-maintainer` and `openclaw-testing`, it is utilized when release candidates require comprehensive validation, proof of installation/updates, real-time provider checks, or CI recovery. It handles the initiation, monitoring, troubleshooting, and evidence logging of full-matrix release validation but does not perform actual release operations—such as version bumps, tagging, `npm publish`, or GitHub releases—which require explicit operator approval.

Mastering Intelligent Grouping and Labeling for PRs/Issues

"Tag Duplicate PRs and Issues" is a GitHub workflow skill designed to assist maintainers with triage. It identifies duplicate PRs or issues by searching a local archive via `gitcrawl`, uses the `prtags` tool to create or reuse issue groupings, and synchronizes the maintainer's assessment back to GitHub. This skill focuses on determining whether a PR or issue duplicates existing work, rather than reviewing the quality of a PR's implementation.

GitHub Security Advisory Maintainer Skill

This skill is a component of the OpenClaw personal AI assistant ecosystem, specifically designed for maintaining GitHub Security Advisories (GHSA). It helps developers efficiently manage, create, and update security advisories, ensuring the security of open-source projects. By automating processes, it reduces manual errors and improves security response speed. Suitable for GitHub project maintainers who frequently handle security vulnerability reports, publish security patches, and coordinate security disclosures.

Security Triage Skill

Security Triage is an Agent Skill from the OpenClaw project, designed to help AI assistants or users quickly perform initial classification and prioritization of security incidents, alerts, or potential threats. This skill uses a structured analysis process to identify the type of security issue (e.g., malware, network attack, data breach), assess its severity, and provide preliminary response recommendations. It is suitable for security operations personnel, incident response teams, and individuals or organizations looking to automate security classification workflows. Use cases include SOC (Security Operations Center) alert handling, penetration testing result classification, and preliminary vulnerability report analysis. This skill is based on an open-source project on GitHub and can be integrated into various AI platforms.

Release a skill for automating changelog generation.

The OpenClaw Changelog Update is an automated utility designed to regenerate the OpenClaw release changelog from Git history. Prior to any beta or stable release (or re-release), it rewrites the relevant version section of `CHANGELOG.md` based on the complete history manifest, eliminating reliance on outdated draft notes. Used in conjunction with `release-openclaw-maintainer`, this utility manages changelog content, ordering, grouping, and attribution, serving as a mandatory step in the release process.

Maintainer Skills for Automated Review and Merging

OpenClaw PR Maintainer is a GitHub workflow automation tool designed for OpenClaw project maintainers to systematically review, triage, merge, and close issues and pull requests. It assists maintainers in efficiently managing external contributions while ensuring codebase quality and decision-making consistency through intelligent retrieval (prioritizing local archives), contributor identity analysis, deep code review (requiring an understanding of the full runtime context), and evidence-based merging criteria (mandating reproducible bug fixes).

Skills for Mass-Producing Mergeable Bug-Fix PRs

OpenClaw Landable Bug Sweep is an automated, batch-oriented bug-fixing workflow designed for maintainers to generate high-quality, merge-ready (landable) bug-fix PRs from lists of issues or PRs. It employs strict candidate criteria—limiting scope to under 500 lines of code (LOC) and prohibiting new dependencies, configuration changes, or modifications to plugin SDK boundaries—alongside a systematic remediation loop and automated reviews ($autoreview). This process ensures that every generated PR is rebased onto the latest `main` branch, passes local tests and automated reviews, is successfully pushed, and clears GitHub CI checks. The workflow focuses exclusively on producing merge-ready PRs rather than generating analysis notes.