Loading...
Loading...
Found 1,669 Skills
Implement Thompson sampling for multi-armed and contextual bandits. Use when the user wants to adaptively allocate traffic across variants (ads, recommendations, content, pricing) to minimize regret instead of running a fixed-allocation A/B test. Covers Bernoulli bandits, contextual bandits, regret analysis, and comparison with epsilon-greedy and UCB.
Validate TypeScript/JavaScript code quality with ESLint, Prettier, type checking, and security analysis. Use for TypeScript/JS codebases to ensure code quality and standards.
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like DPO.
Feline interactions, buffs, and relationship building
Continuous Agentation annotation handling. Use when the user says "watch mode", asks you to watch for Agentation annotations, process feedback as it arrives, or keep fixing annotation-driven changes until told to stop or a timeout is reached.
Expert methodology for breaking down complex problems into fundamental truths and rebuilding solutions from the ground up. Use when users need breakthrough innovation (not incremental improvement), question industry assumptions, face seemingly impossible problems, want to understand root causes, ask "why does this have to be this way", "rethink from scratch", "reimagine this", request analysis "from first principles", want to challenge conventional wisdom, question everything, or need to deconstruct problems to their core elements. Ideal for strategic decisions, innovation challenges, cost optimization, and escaping local optima.
Biome formatting, import style, strict TypeScript, naming (including React file names), or generated files.
Fit Bayesian regression models with PyMC using the Hogg approach — start simple, diagnose problems, upgrade the likelihood. Use when the user needs regression with proper uncertainty quantification, heteroscedastic errors, outlier robustness, or model comparison. Covers Normal, Student-t, and GLM likelihoods with ArviZ diagnostics and LOO-CV.
Scans the developer's machine for dead side projects, autopsies each one from its git history (died at the payments wall, killed by a newer project, finished but never shipped), surfaces their personal death patterns, and picks the corpse most worth resurrecting — then helps ship it. Use when the user mentions abandoned, unfinished, or old side projects, asks "what should I finish", wants to revive or resurrect a project, says "run the graveyard", wonders why they never finish anything, or is about to start a new project that sounds like one they already built. Runs entirely locally.
SeaweedFS distributed storage. Covers filer, S3 API, replication, cloud tiers, and operations. Use when deploying SeaweedFS, configuring filer stores, exposing S3-compatible endpoints, or planning backup and security controls. Keywords: SeaweedFS, weed, filer, S3, object storage.
Use when the user wants to build or tailor a resume, detailed interview resume, career master run, career coach, interview coach, career knowledge vault, Obsidian/LLM wiki, professional DOCX template, visual HTML/PDF resume, Canva-ready or Figma-ready resume, ATS/recruiter scorecard, cover letter, LinkedIn recommendations, interview prep, project interview briefs, technical-stack guide, job match scoring, redaction review, or career evidence summary from LinkedIn content, local project docs, Confluence, Jira, public GitHub, GitHub Enterprise, open-source work, profile pictures, or job postings. Trigger for resume drafting, tailoring, full career timeline, roles and responsibilities, impact metrics, ATS checks, keyword matching, DOCX generation, visual design tools, Canva/Figma handoff, browser/PDF rendering, project evidence extraction, recursive workspace analysis, durable career memory, tool auditing, job search, and interview prep.
Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.