caja-de-pruebas

Code cleanup, refactoring automation, and technical debt management with context restoration

3 commands · 2 agents

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.

1 skill · 1 command · 1 agent

PM utility skills: resume review, NDA drafting, privacy policy generation, and grammar/flow checking. Essential tools for product managers beyond core product work.

4 skills · 5 commands

Content generation, AI backends, and utility tools for daily work efficiency

22 skills

Official GSAP skills for Cursor, Claude and other AI agents, covering tweens, timelines, ScrollTrigger, plugins, utilities, React hooks, and performance optimization

8 skills

es-toolkit best practices: function recommendation, lodash migration, and compat guidance

3 skills