Total 50,537 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.
Generate voice messages using local Qwen3-TTS (offline, Apple Silicon). Convert text to speech with customizable voices, emotions, and speed. Use when user asks for voice reply, audio, or TTS.
Extracts text (with locations) from images and PDF documents using PaddleOCR.
Model configuration editor for ~/.pi/agent/models.json with multi-protocol curl testing support.
Scans project docs, classifies procedural content, extracts into .claude/commands skills
Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live.
Compress documents for LLM token efficiency while preserving semantic content. Use when asked to compress, compact, shrink, or optimize a document, CLAUDE.md, system prompt, skill file, or any text for fewer tokens. Also use when the user mentions token count, token budget, context window limits, or wants to make prompts shorter for cost savings.
March Madness, playoff brackets, tournament picks. Upset potential, chalk vs contrarian strategies, historical trends, confidence levels.
Delegate coding tasks to Codex CLI for execution, or discuss implementation approaches with it. CodeX is a cost-effective, strong coder — great for batch refactoring, code generation, multi-file changes, test writing, and multi-turn implementation tasks. Use when the plan is clear and needs hands-on coding. Claude handles architecture, strategy, copywriting, and ambiguous problems better.
Generate floor plans and architectural layouts using each::sense AI. Create apartment designs, house layouts, office spaces, retail stores, restaurants, and 3D visualizations with furniture arrangements and measurements.
This skill should be used when the user asks to "create rules", "add custom instructions", "set up AGENTS.md", "configure project rules", "add global rules", or needs guidance on customizing OpenCode behavior with custom instructions.
Agent tracing CLI for inspecting agent execution snapshots. Use when user mentions 'agent-tracing', 'trace', 'snapshot', wants to debug agent execution, inspect LLM calls, view context engine data, or analyze agent steps. Triggers on agent debugging, trace inspection, or execution analysis tasks.