Commands
3clyp50
YAML-configured slash commands with text templates or Python hooks, plus an included skill that can create or update command files for you.
Community Plugin Hub
Browse Prompting plugins from the Agent Zero community Plugin Hub.
Showing 12 of 221 plugins
3clyp50
YAML-configured slash commands with text templates or Python hooks, plus an included skill that can create or update command files for you.
TerminallyLazy
A0 Self-Improvement 2.3.1 adds a native Agent Zero interface with light/dark themes, outcome-aware learning, and failure-prioritized optimization, with governed replay, canaries, promotion, monitoring, and rollback.
emasoudy
Automatically compresses tool outputs in your agent conversations using Headroom AI. Saves 50-70% tokens on every agent turn by compressing file reads, command output, search results, and API responses. Works with any LLM provider. Zero configuration needed — install, run setup, done.
a0-community-plugins
Recursive long-context analysis for Agent Zero, with guided Docker Desktop setup, persistent workspaces, and sandbox diagnostics.
linkliti
Makes Agent Zero faster by remembering prompts and state in memory and refreshing them the moment anything changes on disk.
agent-zero-plugins
Google-Docs-style comments for Agent Zero chats — select text in any message to attach a note, and one click bundles all comments into a single review request the agent addresses in one turn.
Jehu
34 compound-engineering skills - brainstorm, plan, debug, review and ship.
PaoloC68
Security guards for tool execution and prompt safety. Blocks tools with flagged scan status and detects prompt injection patterns.
Olszalsik
Repairs misformatted chat-model responses (broken JSON tool requests) with a cheap utility-model call so Agent Zero never stalls or aborts on them. Defensive layers including a tool-repeat guard that breaks the reasoning death-loop where the agent re-emits the same failing tool call dozens of times. No core patch - pure extension hooks, with a live WebUI dashboard and per-agent configuration.
Olszalsik
Squeezes the assistant's own wording into short, accurate prose by having it answer in caveman-speak, across six intensity levels including Classical Chinese modes. Toggle per chat from the WebUI, with a slash command, or over HTTP. Reports the output it actually observed instead of an estimated saving, and ships a validated file compressor, 3 subagent profiles, 5 sub-skills, and 51 unit tests with 15 health-check self-tests.
TerminallyLazy
Native skill training and offline learning for Agent Zero using Microsoft SkillOpt, with held-out validation, scoped proposals, reviewed adoption, and rollback.
Nunezchef
Pre-classify every message in <10ms with a local DeBERTa-v3-small ONNX model (44M params). Routes low-value messages (thanks, ok, got it) away from the LLM — saving 30-50% on API costs at zero latency cost.