OpenClaw AI 技能

Help users add custom model providers to OpenClaw. Use when the user wants to add a new AI model provider (like custom OpenAI-compatible APIs, local L

完全本地的深度研究助手 Skill。使用 Ollama 或 LMStudio 本地 LLM 进行迭代式网络研究，生成带引用来源的 Markdown 报告。当用户需要进行隐私优先的研究、本地文档分析或生成结构化研究报告时触发。

Context-aware PII sanitization for autonomous AI agent pipelines. Sanitizes text before LLMs with 5 context modes (legal/financial/medical/code/genera

MCP Server Orchestral Integration - Integriert den fortgeschrittenen MCP Server mit 27-28 Super-Agenten in das Super-Skill-Ökosystem. Ermöglicht DeepM

Use this skill when a task needs browser automation through PinchTab: open a website, inspect interactive elements, click through flows, fill out form

Runs NoxInfluencer creator and marketing-ops workflows via CLI, including creator discovery for influencer marketing, creator marketing, UGC, social m

End-to-end OpenBytes network API workflows for AI agents. Covers wallet signature-based authentication, on-chain top-up monitoring, consumer API key l

Agent Execution Guard by WorldLoops — a safe-by-default responsibility layer for AI agents that turns scattered work signals into governed open loops

股票分析 AI 工具 | 智能投资简报生成器 - 自动生成个股分析报告、市场热点追踪、持仓监控。支持 A股/港股/美股，实时股价查询，技术分析，研报生成。一键生成专业 Markdown 投资报告。

Detect GitHub Actions workflow groups that stopped running on their normal cadence using median run intervals and current inactivity gap.

Audit deployment workflow risk from GitHub Actions runs by scoring failure rate, unresolved failure streaks, and time since last successful deploy.

Audit GitHub Actions failure timing by day/hour to surface recurring outage windows and staffing hotspots.

Audit GitHub Actions runs for fail-then-success retry recovery patterns to quantify flaky rerun waste.

Audit cancelled and timed-out GitHub Actions runs from JSON exports to surface wasted CI minutes and noisy workflows.

Group GitHub Actions failures by pipeline phase (setup/build/test/lint/deploy/security) with minute impact to prioritize fixes.

Detect consecutive GitHub Actions failure streaks by repo/workflow/branch to prioritize unstable pipelines.

Quantify wasted GitHub Actions minutes caused by reruns so flaky workflows can be fixed with data.

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.