Agent Building skills

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

vendoring-external-skills

Workflow for copying third-party skill packs (e.g. coreyhaines31/marketingskills) into this dotfiles repo as namespaced personal skills. Use when the user asks to vendor, import, copy, or "pull in" skills from a GitHub repo or skill pack. Emphasizes audit-first review for prompt injection and malicious scripts, copy-once snapshotting (no sync infrastructure committed), and namespace prefixing to avoid collisions. Keywords vendor skills, import skills, copy skills, third-party skills, skill pack, marketingskills.

192 repo starsObserved in 1 repos

Agent Building

ai-feature

Use when the user adds, changes, or refactors an LLM agent under src/agents/ — or anything that goes through Foundation Model API or an MLflow-traced LLM call. Mandatory under CNS §3.5 and .cursor/12-ai-feature-lifecycle.mdc. Walks the SPEC → dataset → eval-harness → impl → re-eval sequence.

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-agentloop-contextstore

Operate Alibaba Cloud CloudMonitor Service (CMS) AgentLoop ContextStore by using aliyun CLI with api version 2024-03-30. Use when users mention CloudMonitor, CMS, AgentLoop, agent loop, context, memory, experience, ContextStore, context store, 上下文库, 记忆库, 经验库, or ask to create/query/update/delete stores, write/search/update/delete context records, manage store API keys, or debug aliyun cms ContextStore commands.

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-agentloop-dataset

Operate Alibaba Cloud AgentLoop Dataset resources with aliyun CLI and the AgentLoop API version 2026-05-20. Use when requests concern AgentLoop datasets, data rows, Dataset schemas, embedding fields, semantic search, ExecuteQuery, AgentSpace data, 数据集, 数据写入, 数据查询, 语义检索, or ask to create/list/get/update AgentLoop datasets, append structured rows, run read-only SQL or SearchExpr queries, inspect query results, or debug aliyun agentloop Dataset commands.

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-analyticdb-postgresql-ai-coaching-best-practice

Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-dms-data-agent-platform-setup

Create an agent platform instance in DMS via Alibaba Cloud OpenAPI. Supports Simple Mode and Advanced Mode. Use this skill when the user wants to provision, deploy, or set up a new Dify instance on Alibaba Cloud DMS.

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-openclaw-ecs-dingtalk

Deploy OpenClaw AI agent platform on Alibaba Cloud ECS and integrate with DingTalk bot. OpenClaw (formerly Clawdbot/Moltbot, 中文名"龙虾") is an open-source AI assistant and automation platform supporting natural language-driven task automation with multi-channel chat integration. This Skill covers the full workflow from ECS instance creation, public network configuration, base environment setup, one-click OpenClaw deployment to DingTalk bot verification. End users can chat with the AI assistant by @mentioning the bot in a DingTalk group. Triggers: "OpenClaw", "龙虾", "Clawdbot", "Moltbot", "DingTalk bot", "DingTalk AI", "deploy OpenClaw on ECS", "AI agent platform", "DingTalk integration", "openclaw dingtalk", "openclaw deploy", "DingTalk AI employee", "Alibaba Cloud OpenClaw", "Bailian + DingTalk", "DingTalk group AI", "DingTalk smart assistant", "部署龙虾", "龙虾机器人", "龙虾钉钉"

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-tablestore-agent-storage

Alibaba Cloud Tablestore Agent Storage Skill. Use for building and managing Tablestore-based knowledge bases with the `tablestore-agent-storage` Python SDK. Triggers: "知识库", "tablestore", "ots", "表格存储", "agent storage", "knowledge base", "向量检索", "文档上传", "文档导入", "知识库同步", "tablestore-agent-storage", "AgentStorageClient"

191 repo starsObserved in 1 repos

Agent Building

alibabacloud-tablestore-openclaw-memory

This skill installs and configures the **Tablestore Mem0** plugin for OpenClaw. Tablestore Mem0 uses Alibaba Cloud Tablestore as the vector store backend for mem0, providing persistent long-term memory for AI agents. Use this skill when the user wants OpenClaw to persist or manage long-term memory using Alibaba Cloud Tablestore as the backend. Triggers: "set up tablestore memory", "install tablestore mem0 plugin", "configure long-term memory with tablestore", "remember this".

191 repo starsObserved in 1 repos

Agent Building

benchmark-loop

Fully automated self-improving loop — takes a project prompt, designs a team, runs the benchmark, analyzes results, optimizes framework code, rebuilds, and repeats until target grade is reached.

191 repo starsObserved in 1 repos

Agent Building