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Found 6 Skills
Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /caveman-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Maps questions to the optimal tldr command. Use this to pick the right layer
Multi-platform, multi-channel notification skill for AI code agents. Sends notifications (sound, macOS alert, Telegram, Email, Slack, Discord) when the agent needs user interaction or completes a task. Supports Claude Code, GitHub Copilot CLI, Cursor, Codex, and Aider.
Cross-session learning system that extracts insights from session transcripts and injects relevant past learnings at session start. Uses simple keyword matching for relevance. Complements DISCOVERIES.md/PATTERNS.md with structured YAML storage.
First onboarding and scaffolding creator for cheat-on-content. Unified process - all users follow the same 5-stage closed-loop, with the only difference being that users who have posted videos will have an extra step during init: fetch existing videos to build historical context (used for subsequent cheat-seed to provide more tailored topic suggestions and more accurate baselines). Trigger phrases: "Initialize" / "init" / "First use" / "I'm a new user" / "setup cheat-on-content". **Must be executed during the user's first session; other sub-skills will automatically route to this when .cheat-state.json does not exist.**