Add travel time and commute lookup to NanoClaw agents using Waze live traffic data. No API key needed. Triggers on "add commute", "commute setup", "travel time", "waze".
Plugin nanoclaw-commute from marketplace nanoclaw-skills in mvgrimes/nanoclaw-skills. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (2)
commute
Check travel time and distance between locations using Waze live traffic data. Use for commute times, journey planning, or whenever someone asks how long it takes to get somewhere.
add-skill-commute
Add travel time and commute lookup to NanoClaw agents using Waze live traffic data. No API key needed. Triggers on "add commute", "commute setup", "travel time", "waze".
Add Brave Search API access to NanoClaw agent containers. Enables web search for research, current events, and fact-checking. Guides through free API key setup. Triggers on "add brave search", "brave search", "web search setup", "add search".
Add changedetection.io integration to NanoClaw. Enables agents to create and manage website watches for price monitoring, stock alerts, and content changes. Guides through API key setup and webhook configuration. Triggers on "add changedetection", "changedetection setup", "price monitoring", "website monitoring".
Add persistent memory (claude-mem) to NanoClaw agent containers. Creates systemd services for the worker daemon and Docker bridge, configures env vars. Run once after claude-mem plugin is installed.
Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
Official GSAP skills for Cursor, Claude and other AI agents, covering tweens, timelines, ScrollTrigger, plugins, utilities, React hooks, and performance optimization
es-toolkit best practices: function recommendation, lodash migration, and compat guidance
3 skills
toss/es-toolkit 11,389
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