发现最适合你需求的 AI 技能
Fine-tune LLMs with data preparation, provider selection, cost estimation, evaluation, and compliance checks.
Anti-detection web browsing that bypasses bot detection, CAPTCHAs, and IP blocks using puppeteer-extra with stealth plugin and optional residential proxy support. Use when (1) websites block headless browsers or datacenter IPs, (2) need to bypass Cloudflare/Vercel protection, (3) accessing sites that detect automation (Reddit, Twitter/X, signup flows), (4) scraping protected content, or (5) automating web tasks that require human-like behavior.
Triage issues, analyze PRs, and create plans via the Clawmrades API
Text-to-speech, sound effects, music generation, voice management, and quota checks via the ElevenLabs API. Use when generating audio with ElevenLabs or managing voices.
Read-only assistant for BriteBooth.com. Collects product IDs, templates, and lead times. Requires human execution for cart creation.
Multi-format content generation with built-in neural quality scoring — every piece is scored against neuromarketing dimensions before delivery. Content that scores below your threshold is automatically rewritten. You get the score as proof.
Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-management for task tracking.
自动化小说写作助手 v2.1 - 基于证据的状态管理、多视角QC、原子I/O、每个阶段人工确认
Professional Bazi / Four Pillars consultation skill for birth date and time analysis. Use when the user wants a polished Bazi report with four pillars, day master, ten gods, hidden stems, five-element balance, luck cycles, yearly outlook, and practical consultation-style interpretation in markdown or JSON.
Analyze Hyperliquid market data and provide trading insights. Real-time price monitoring, trend analysis, and risk assessment.
Structured logging, distributed tracing, and metrics collection patterns for building observable systems. Use when implementing logging infrastructure, setting up distributed tracing with OpenTelemetry, designing metrics collection (RED/USE methods), configuring alerting and dashboards, or reviewing observability practices. Covers structured JSON logging, context propagation, trace sampling, Prometheus/Grafana stack, alert design, and PII/secret scrubbing.
Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) receiving a user correction — log it before responding, (2) making an important decision or analysis — log it before continuing, (3) pre-compaction memory flush — flush the working buffer to WAL, (4) session start — replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction.
