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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.
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.
Maps questions to the optimal tldr command. Use this to pick the right layer
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.**