Total 55,400 skills, AI & Machine Learning has 9207 skills
Showing 12 of 9207 skills
Two-round debate protocol where perspectives challenge each other before consensus. Round 1 presents independent positions, Round 2 allows counter-arguments and rebuttals. Produces battle-tested decisions for high-stakes choices.
Build agents specialized in conducting thorough research, gathering information from multiple sources, and synthesizing findings. Covers research planning, source evaluation, and report generation. Use when automating market research, competitive analysis, literature reviews, or intelligence gathering.
Controls InnerClaude instances on Sprites.dev VMs for testing workflows, install patterns, and Claude-to-Claude interaction. INVOKE BEFORE any 'sprite exec', 'inner Claude', 'test this workflow', 'Claude controlling Claude', or remote VM operations. Documents the critical tmux+pipe-pane pattern that makes OuterClaude/InnerClaude interaction work. Also covers checkpoint/restore and bootstrap. (user)
MANDATORY before starting any task. Enforces the GPA execution loop that prevents tool call sprawl. G: GATHER phase combines discover queries + memory reads + file reads into one phase. P: Plan in text with zero tool calls. A: APPLY all writes/edits/verification in one phase. One call per tool type per phase — batch all same-type operations together. Covers dependency analysis, batch opportunities, scope estimation, and loop-back triggers.
Generate AI videos using Kling video generation models. Use when you need to: (1) create videos from text prompts, (2) animate images into videos, (3) transform existing videos with AI, or (4) create AI avatar videos with speech.
Creates implementation-only tracker subtasks from `technical-details` using handoff-first context loading, lazy artifact reads, and compact JSON handoff output.
FORGE SM Agent — Decomposes requirements into stories with test specs. Usage: /forge-stories
Creates production-grade, reusable skills that extend Claude's capabilities. This skill should be used when users want to create a new skill, improve an existing skill, or build domain-specific intelligence. Gathers context from codebase, conversation, and authentic sources before creating adaptable skills.
This skill should be used when users ask tax-related questions, seek advice on deductions or tax savings, or require expert guidance equivalent to a tax accountant or life planner. Trigger phrases include: "Tell me about taxes", "Am I eligible for deductions?", "Consultation on final tax returns", "Tax savings", "Upper limit of hometown tax donations", "Benefits of iDeCo", "Housing loan deduction", "Benefits of blue tax returns", "Is consumption tax applicable?", "Can I claim someone as a dependent?", "Spousal deduction", "Medical expense deduction", "Incorporation", "Is this deductible as an expense?", "Tell me the tax rate", "Calculation of income tax", "Resident tax", "Social insurance premiums", "1.03 million yen threshold", "1.3 million yen threshold", "Invoice system", "Simplified taxation", "Tax system reforms", "Business registration", "Side business disclosure risks", "White tax return", "Tax audit", "Special expense deduction", "Provisional tax payments", "Interim tax payments"
Cursor PMでアイデアを検証し、Plans.mdを更新してバトンタッチ。2-Agentワークフロー対応。
Confusion Matrix Generator - Auto-activating skill for ML Training. Triggers on: confusion matrix generator, confusion matrix generator Part of the ML Training skill category.
Analyzes the conversation and tool usage to propose improvements to skills or store user preferences.