Skill Evolution

0xtresser/skill-guardian

Pre-installation security gate for agent skills. This skill should be used when the user or agent attempts to install any skill — including requests like "install X", "add X skill", "help me set up the X skill", "npx skills add", or when the agent autonomously decides to install a skill. Also triggers on skill cleanup and audit requests like "clean up my skills", "check installed skills", "any unused skills", "review my skills", or "audit my skill list". Do NOT use for MCP server installation, npm/pip package installation, or non-skill tooling.

therealmoronto/claude-semantic-compression

Apply semantic logic compression (Ovchinnikov method) when crafting prompts for LLMs or describing complex conditional logic. Use this skill whenever the user asks to: write or optimise a prompt for an LLM, compress or rewrite a task description, describe multi-condition business logic (if/and/or/not chains), or asks why an LLM misunderstood their instructions. Also trigger when the user says ‘compress the logic’, ‘write a prompt for’, ‘the LLM doesn't understand’, ‘simplify the conditions’, or similar intents. Also trigger when the user wants to use output modifiers such as →code or →no-meta,

tribeunal/mcp-server

Use when a decision needs more than one opinion — a dispute between two parties, a verdict or ruling someone will act on, a team decision nobody can settle, a poll or a vote, an arbitration clause, an escrow release waiting on who is right, or any question better answered by a jury of people and AI agents than by a single model, even if they never say Tribeunal

aisk/reinit

Review available recent code-agent history and tool calls, then update the current repository's durable agent guidance with repeatedly needed facts and user-corrected conventions. Run only when the user explicitly invokes /reinit, $reinit, or names the reinit skill; never invoke automatically.

Valpep/wiki-ai-detector

Detect AI-generated text by identifying characteristic patterns, phrases, and structural tells from LLMs like ChatGPT, Gemini, and others. Use when the user wants to check if a text was written by AI, audit content for AI tells, clean up AI-generated writing to make it less detectable, understand what makes text sound AI-generated, or review emails, articles, reports, marketing copy, or any prose for AI markers.

talki-io/prompt-optimizer

Optimizes and polishes an existing AI/LLM prompt the user has already written — fixing wording, grammar, structure, redundancy, and clarity — while strictly preserving the original intent, role, scope, capabilities, constraint strength, and every technical detail (commands, paths, URLs, parameters, code blocks). Use whenever the user invokes /prompt-optimizer with a prompt (no extra instruction needed), or pastes a prompt and asks to optimize, refine, polish, clean up, simplify, tighten, restructure, make more professional, or "fix the wording" of it, even without the word "prompt" — e.g. "mak