Llm caching
Implement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching.
Skills for your AI
AI skills for AI & automation
Llm cost optimization
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies.
Prompt injection defense
Defend AI systems against prompt injection and indirect prompt attacks using input controls, tool permissions, output validation, and isolation boundaries.
Ralph loop yylo
Execute exactly one explicitly assigned YYLO Ledger task through the Ralph loop to a validated queued commit. Use only when the user explicitly requests ralph-loop-yylo.
Google no code
Design Google Forms and wire Apps Script triggers (onFormSubmit) for email alerts, spreadsheet logging, and dynamic questions — no code editor required.
Idea evaluator
Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
Beatra ai video studio
Install and use the official Beatra AI Video Studio package, pinned by digest, for paid text-to-video, image-to-video, and video edit or extend jobs on the hosted Beatra service.
Acceptance orchestrator
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
Accint frames
Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
Accint solve
Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
Activecampaign automation
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
Address github comments
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
Advanced evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quali
Agent creator
Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.
Agent evaluation
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.
Agent evaluation reporting
Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
Agent framework azure ai py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
Agent manager skill
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Agent memory
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
Agent memory mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Agent memory systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.
Agent orchestration improve agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Agent orchestration multi agent optimize
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Agent self scheduling
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.