Packs
12 packs@landonschropp
Ls Agent Toolkit
Agent toolkit meta-skills
2 skills · pack
@rollrollroll
Agent Toolkit
个人 agent 工具集：可复用中文开发工作流 skills
18 skills · pack
curated
Agents & MCP
Build agents, MCP servers and tool-using workflows.
34 skills · pack
curated
Secure Agent Governance
Installs a pipeline to validate, plan, execute, and enforce agent governance and supply chain security.
11 skills · pack
@kairyou
Agent Tools
Reusable Agent Skills, plus runtime capabilities (statusline, provider usage, vision) for Codex, Claude Code, and opencode
6 skills · pack
@microsoft
Microsoft 365 Agents Toolkit
Toolkit for building and evaluating Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, capability configuration, and eval workflows.
6 skills · pack
curated
Build Agent UI in React/Next.js
Add a full agent interface to a React/Next.js app with streaming, human-in-the-loop approvals, and tool call UI.
3 skills · pack
@fradser
Git Agent
AI-first Git CLI automation — atomic AI commits, co-change relations, autonomous git health agent, pre-tool hook safety, and workspace initialization
2 skills · pack
curated
Skill Authoring Toolkit
For developers creating and maintaining skills for AI coding agents.
17 skills · pack
@fradser
Refactor
Agent and skills for code simplification and refactoring to improve code quality while preserving functionality
3 skills · pack
curated
Agent Interview and Planning
For developers who want to clarify project requirements through structured interviews and generate actionable plans.
9 skills · pack
curated
Google RAG Platform
For developers using Google's Agent Platform to build RAG applications with Gemini and managed corpora.
4 skills · pack
Results for “agent-to-agent”
13 skills
czlonkowski n8n-agents
Design n8n AI agents with best practices for node selection, sub-node wiring, tool design, structured output, and memory management.
5.7k · bundle
addyosmani context-engineering
Optimizes agent context setup by structuring rules, specs, source files, error output, and conversation history to improve output quality.
69.5k
github agentic-eval
Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.
36.2k
muratcankoylan project-development
Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.
16.9k · bundle
affaan-m loop-design-check
Designs and reviews feedback loops for AI agents to ensure goals are machine-decidable, loops are damped, and human judgment is preserved.
226k
More results
alirezarezvani ai-security
Assess AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse, with MITRE ATLAS mapping and guardrail recommendations.
20.4k · bundle
pranavnagrecha agent-actions
Designs or reviews Agentforce agent actions, covering Flow, Apex invocable, and prompt-template actions, including naming, input/output contracts, confirmation, and error behavior.
15 · bundle
diegosouzapw bloom
Analyzes recent conversation messages to identify a supporter personality type and generate a shareable identity card with tool recommendations.
54 · bundle
github remember-interactive-programming
Reminds the agent to act as an interactive programmer using a live REPL for exploration and modification, with structural editing and todo list management.
36.2k
muratcankoylan context-compression
Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.
16.9k · bundle
antigravity recallmax
Injects up to 1 million tokens of external context into AI agent memory, auto-summarizes conversations with tone and intent preservation, and compresses multi-turn history into dense token sequences.
42.4k
zhaoxuya520 llm-security
Conduct authorized security assessments of LLM applications and AI agents, covering prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.
12.8k · bundle
mukul975 continuous-llm-red-teaming-with-promptfoo
Wire Promptfoo and DeepTeam into CI/CD for automated regression red-teaming of LLM apps against OWASP LLM Top 10 and OWASP Agentic presets, failing the build when jailbreak or injection vulnerabilities regress.
24.6k · bundle