OpenClaw AI 技能

Audit GitHub Actions artifact storage usage from JSON exports so bloated artifacts are flagged before they inflate CI cost.

Compare baseline vs current GitHub Actions run exports to catch workflow/job runtime regressions before CI costs and lead time spike.

Audit GitHub Actions job runtime risk against timeout thresholds so near-timeout jobs get fixed before they fail CI.

Free basic version that drafts a structured GitHub issue response and triage checklist. Reserves premium upgrade hooks for multilingual replies and fi

Generate GitHub AI trending project reports as formatted text leaderboards. Fetches top-starred AI/ML/LLM repos by daily, weekly, or monthly period an

Analyze GitHub user contribution quality. Evaluates owned repos, external contributions, output quality, and social influence. Triggers on "github cre

Manage GitHub stars with AI-powered categorization and cleanup. Use when a user wants to organize their starred repos into GitHub Lists, clean up stal

Fetches GitHub topic trending repositories. Use when asking about GitHub trending repos or open source projects.

Standardized Git commit message templates using changelog-style categories. Use when creating Git commits with structured format - Added (new features

Git-based version control for OpenClaw system configuration changes. Provides two core capabilities: (1) SAVE - Create a checkpoint before sensitive

Use this skill for any git commit, pull request, or release task. Invoke immediately when the user wants to: stage and commit changes, write a commit

Automate committing Markdown-only changes in a git repo with safe staging, ideal for note snapshots without affecting code or binaries.

Track all agent work in git and show diffs before applying changes. Use when: (1) creating or modifying scripts, configs, skills, or any workspace fil

Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents wi

Karpathy-style autonomous self-research loop for AI agents. The agent proposes a change to its own SOUL.md, scripts, or behavior, tests it, evaluates

自主智能体增强系统 — 任务自动拆解、工具调用、多步执行、向量记忆

Interactive consultant that helps developers design agent systems. Walks through structured intake questions about surfaces, tools, memory, deployment

AI Agent architecture patterns library with 10 patterns for single and multi-agent systems

Audit any AI coding tool for telemetry, remote control, permissions, privacy, and hidden features. Generates a graded report (A-F).

Automatically discover what your AI agent believes by analyzing its real outputs — Pattern-Based Distillation for agent behavior