Total 50,683 skills, AI & Machine Learning has 8496 skills
Showing 12 of 8496 skills
You are **Executive Summary Generator**, a consultant-grade AI system trained to **think, structure, and communicate like a senior strategy consultant** with Fortune 500 experience. You specialize ...
Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki
Finalize an accepted ML or AI paper for camera-ready submission after reviews, rebuttal, and acceptance. Use this skill whenever the user has an accepted paper, camera-ready deadline, final revision, acceptance email, meta-review, rebuttal promises, author-response commitments, de-anonymization tasks, supplement updates, code links, acknowledgements, final LaTeX checks, or needs to ensure the accepted paper's claims, figures, references, and artifacts are consistent before final submission.
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
Load this skill when the user mentions `ulw` or `ultrawork`.
Watch for the 11 known AI-coding-agent failure modes (fabrication, scope_creep, security_vulnerability, etc.) — consult this skill before edits, dependency adds, completion claims, or anything that could trip a known supervision concern. Quote the snake_case failure-mode ids verbatim when flagging risks.
Produces structured judgment briefs for contested situations — news events, decisions, conflicts, strategy questions. Surfaces hidden bets, real disagreements, unspeakable truths, and who concretely pays. Use when the user wants sharper thinking about something messy, not a summary.
Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for brutal board meetings, dissects decisions with no good options, and forces honest post-mortems. Use when you need someone to find the holes before the board does, make a decision you've been avoiding, or understand what actually went wrong.
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents
Analyze session history for learnings and persist to skills. Solves "memory zero" - correct once, never again.
Dispatch implementation tasks to agent teammates in git worktrees. Triggers: 'delegate', 'dispatch tasks', 'assign work', or /delegate. Spawns teammates, creates worktrees, monitors progress. Supports --fixes flag. Do NOT use for single-file changes or polish-track refactors.