sya-surprise
Use when the user explicitly tells the agent to surprise itself with a break or do something unexpectedly fun.
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-11 00:16
Agents & models
26,075 results
sya-treat
Use when the user explicitly gives the agent a treat or asks it to enjoy a small reward after work.
session-handoff
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context…
crosstech-agents-aec-orchestrator
Use when a user request involves multiple AEC technologies that need to be chained together: multi-hop data pipelines (e.g., Revit → Speckle → Blender → IFC →…
vite-agents-review
Use when reviewing Vite configuration, validating a Vite project, checking for common mistakes, or auditing Vite code before deployment. Prevents shipping…
github-repo-sanity
Sanity-check GitHub repositories before citing, recommending, or comparing them. Use when an agent refers to GitHub repos, OSS libraries, starter kits,…
weather-safety-guardrails
Keep activity suggestions safe and respect local conditions
fine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward…
native-mcp
Built-in MCP (Model Context Protocol) client that connects to external MCP servers, discovers their tools, and registers them as native Hermes Agent tools.…
simpo-training
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model…
commit-and-pr
Creates Arena-conformant commits and pull requests. Enforces DCO sign-off (git commit -s), no AI attribution lines (no Co-Authored-By, no Generated-with-Claude…
build-your-confidence
Use this skill when the user wants to build self-confidence, overcome self-doubt, improve self-esteem, or needs motivation and encouragement. This skill…
livekit-agents
LiveKit Agents realtime AI agents. Covers voice/vision pipelines, Agent Server jobs, models & tools. Keywords: LiveKit, agents, voice AI.
decision-model-setup
Set up, evaluate or turn off the optional Open Second Brain decision-model feature (typed judgments that rerank search, pick skills, pre-filter extract-signals…
core
Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with…
example
An example skill demonstrating the skill file format
office-hours
YC Office Hours — two modes. (gstack)
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an…
skills-cli
Use when users ask to discover, install, list, check, update, remove, back up, restore, sync, or initialize Agent Skills, mention `bunx skills`, `npx skills`,…
backend-agent
Orchestrator-dispatched only. Builds API servers, business logic, and data layers for multi-agent builds. Composed by orchestrator during multi-agent builds.…
context-manager
Manage context window usage, compaction strategy, and session handoffs for long-running multi-agent builds. Writes and validates structured handoff files so…
contract-author
Generate machine-readable integration contracts (API, data layer, shared types, events) before any implementation begins in a multi-agent build. This is…
dependency-coordinator
Orchestrator-dispatched only. Authors the cross-package dependency manifest before parallel implementation agents are dispatched, preventing transitive version…
loop-controller
Wrap any task in a verifiable stop condition plus a mandatory guardrail stack so an autonomous loop converges instead of thrashing or burning the budget — the…