One sentence: what this skill does and when to invoke it. Use for: [list 2-3 trigger phrases users would naturally type].
Scanned 9/8/2026
Install to Claude Code
npx -y skills add rfxlamia/claude-skillkit --skill template --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: your-skill-name
description: >
One sentence: what this skill does and when to invoke it.
Use for: [list 2-3 trigger phrases users would naturally type].
category: engineering
# Available categories: core, engineering, documentation, planning,
# deployment, productivity, quality, security, experimentation,
# agent-frameworks, creative
---
## Overview
[2-3 sentences: what this skill does and why it exists. Be specific.
Bad: "Helps with code." Good: "Reviews Python functions for PEP-8
compliance and common anti-patterns, then outputs a prioritized fix list."]
---
## When to Use This Skill
[Optional but recommended for complex skills. List the specific
conditions that should trigger this skill.]
Examples:
- User pastes a function and asks for a review
- User says "check my code" or "code review"
---
## Section 1: [First Major Step]
[Instructions for the agent. Be explicit — don't say "do the right thing,"
say exactly what to do. Use numbered steps for ordered workflows,
bullet points for flexible guidance.]
1. Step one
2. Step two
3. Step three
---
## Section 2: [Second Major Step]
[Continue as needed. Each section should have one clear responsibility.]
---
## Reference: [Optional — Load-on-Demand Content]
[Put bulky reference material here rather than in the main flow.
The agent loads this only when needed, saving tokens.]
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling