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Found 6,084 Skills
Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved
Internal protocol for evo optimization subagents. Not user-invocable -- read by subagents spawned from /optimize.
Image generation endpoints and available styles via the Venice.ai API.
Download videos from YouTube and other platforms for offline viewing, editing, or archival with support for various formats and quality options.
Full-lifecycle AI music album production — concept, lyric drafting, track sequencing, and export. Useful for indie album experiments and brand soundtracks.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
Use when the user asks to define a goal, create a Goal Contract, or clarify a concrete task's goal, scope, success criteria, evidence, or guardrails before planning or execution.
This skill should be used when the user asks to "create a skill" or "make a command". Make sure to use this skill whenever the user mentions skill creation, command authoring, slash commands, or building Claude extensions — even if they don't explicitly say "create-skill". Not for repairing or auditing existing skills — use repair-skill.
This skill should be used when the user asks to "research a topic", "run-research", "last30", "what's happening with X", "what are people saying about X", "find the best X", "X prompts", "latest on X", "X news", "what are people recommending for X", "research X for me", or wants to know what's trending, discussed, or debated about any subject in recent weeks.
Add an MCP server to pi. Use when asked to "add mcp server", "configure mcp", "add mcp", "new mcp server", "setup mcp", "connect mcp server", or "register mcp server". Handles both global and project-local configurations.
Install context files from registry. Use when user runs /install-context, says "install context", "setup context", or when context is missing and the user needs to get started.
Execute Python code in isolated rootless containers with MCP server proxying to reduce context bloat from 30K to 200 tokens