productivity▌

camsnap \n Use camsnap to grab snapshots, clips, or motion events from configured cameras. \n Setup \n \n Config file: ~/.config/camsnap/config.yaml \n Add camera: camsnap add --name kitchen --host 192.168.0.10 --user user --pass pass \n \n Common commands \n \n Discover: camsnap discover --info \n Snapshot: camsnap snap kitchen --out shot.jpg \n Clip: camsnap clip kitchen --dur 5s --out clip.mp4 \n Motion watch: camsnap watch kitchen --threshold 0.2 --action '...' \n Doctor: camsnap doctor --pr

Query Google NotebookLM notebooks directly from Claude for source-grounded, citation-backed answers. \n \n Automates browser-based interaction with NotebookLM to retrieve answers exclusively from your uploaded documents, with each query opening a fresh session \n Manages notebook library locally with metadata tagging, search, and activation; supports smart discovery of notebook content when adding new sources \n Requires one-time Google authentication via visible browser login; handles virtual e

本技能文档包含小红书创作者平台的详细发布流程、DOM选择器和操作步骤。

Run a two-phase ASO audit: offline checks against local metadata files, then keyword gap analysis via Astro MCP.

Use this skill when the user:

Collect aggregated performance metrics and crash diagnostics from production devices using MetricKit. The framework delivers daily metric payloads (CPU, memory, launch time, hang rate, animation hitches, network usage) and immediate diagnostic payloads (crashes, hangs, disk-write exceptions) with full call-stack trees for triage.

Use this skill when the user:

Advanced prompt patterns for few-shot learning, chain-of-thought reasoning, optimization, templates, and system prompt design. \n \n Covers five core pattern categories: few-shot example selection with semantic diversity, chain-of-thought reasoning traces, iterative optimization workflows with A/B testing, modular template systems with variable interpolation, and comprehensive system prompt architecture \n Includes structured implementation workflows for creating new prompts, optimizing existing

Real-time weather and forecast data for locations across China. \n \n Provides two core endpoints: real-time weather (temperature, humidity, wind, air quality) and multi-day forecasts with daily highs and lows \n Accepts Chinese location names (cities or districts) as query parameters; supports major cities and most districts nationwide \n Includes practical helper patterns for weather-based recommendations, multi-city comparisons, and travel suitability checks \n Returns structured JSON respons

When this skill is triggered, you MUST follow this workflow before writing any code.