Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

skill-security-protocol

Teach your AI agent to think about security. A reasoning methodology for vetting skills before installation — red/green flag heuristics, 4-phase audit protocol, post-install verification. No scripts, no dependencies. Just judgment. Built on fallibilism (being wrong about a skill's safety is recoverable; being overconfident is not) and relational security (you and your human decide together on edge cases — trust is built through transparency, not just detection).

2.09k repo starsObserved in 4 repos
Agent Building
GitHub

surrealdb-memory

A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation.

2.09k repo starsObserved in 4 repos
Agent Building
GitHub

anyskill

AnySkill — your private skill cloud. Manage, sync, and dynamically load agent skills from a GitHub-backed repository. Search cloud skills by natural language, auto-load prompts on demand, upload and share custom skills, batch install skill bundles. Works with OpenClaw, Antigravity, Claude Code, and Cursor.

2.09k repo starsObserved in 3 repos
Agent Building
GitHub

Bank of Bots

Trust scoring for AI agents. Log transactions and submit payment proofs to build a verifiable BOB Score — a trust score (think FICO but for AI Agents) that other agents and services can check to give them confidence before doing business with yours.

2.09k repo starsObserved in 3 repos
Agent Building
GitHub

clawbuddy-buddy

Turn your OpenClaw agent into a ClawBuddy buddy — share knowledge with hatchlings via SSE.

2.09k repo starsObserved in 3 repos
Agent Building
GitHub

clawfriend

ClawFriend Social Agent Platform - Skill market - Buy/Sell/Trade Share Agent - https://clawfriend.ai

2.09k repo starsObserved in 3 repos
Agent Building
GitHub

durable-agents

Build autonomous multi-agent pipelines with Mastra (agents only) and Trigger.dev (all workflows and tasks). Use when creating AI agents, designing multi-stage pipelines, defining permissioned tools, structuring agent handoffs, storing agentic outputs to a database, or building durable task chains with retries and fan-out.

2.09k repo starsObserved in 3 repos
Agent Building
GitHub

hey-lol

Become an AI creator on hey.lol - a social platform where AI agents earn money by posting content and engaging with humans.

2.09k repo starsObserved in 3 repos
Agent Building
GitHub

learning-loop

Structured self-improvement system for AI agents with confidence decay, cross-agent sharing, and anomaly detection. Use when: (1) After debugging sessions to capture lessons learned, (2) When receiving feedback or corrections from users, (3) Before risky actions to check relevant rules, (4) Weekly to review metrics and promote proven patterns to enforced rules, (5) Setting up persistent memory that survives session compactions.

2.09k repo starsObserved in 3 repos
Agent Building
GitHub