搜索「Agent Memory」的结果

io.github.BuilderIO/agent-native/automations

Event-triggered and schedule-triggered automations with natural-language conditions. Use when creating automations, wiring events, or understanding how triggers fire.

io.github.microsoft/agent-framework/python-package-management

Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.

io.github.agent0ai/agent-zero/orchestrator

Use when delegating coding or repository work to external terminal coding agents such as the user's host Claude Code/Codex/Cursor/Gemini CLI or container-installed pal agents.

io.github.hashicorp/agent-skills/refactor-module

Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.

io.github.microsoft/agent-framework/python-development

Coding standards, conventions, and patterns for developing Python code in the Agent Framework repository. Use this when writing or modifying Python source files in the python/ directory.

io.github.wshobson/agents/rag-implementation

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

io.github.notque/vexjoy-agent/kubernetes

Kubernetes operations: debugging, security, RBAC, and infrastructure tooling.

io.github.notque/vexjoy-agent/kubernetes-security

Kubernetes security: RBAC, PodSecurity, network policies.

io.github.notque/vexjoy-agent/kubernetes-debugging

Kubernetes debugging for pod failures and networking.

io.github.bdfinst/agentic-dev-team/docker-image-audit

Audit Docker images and Dockerfiles for security vulnerabilities, bloat, and best-practice violations using hadolint, Trivy, and Grype. Produces a structured severity report with actionable fixes. Use this skill whenever the user wants to check a Docker image for security issues, scan a container for vulnerabilities, audit a Dockerfile, harden a Docker image, reduce image size, minimize attack surface, check for CVEs in a container, or says things like "is this Dockerfile secure?", "scan my image", "check my container for vulnerabilities", "how can I make this image smaller?", "audit my Docker setup", or "harden this container". Also trigger when the user has just created or modified a Dockerfile and wants validation before shipping it.

io.github.addyosmani/agent-skills/code-review-and-quality

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.

io.github.kenn-io/agentsview/testing-without-tautologies

Use when creating, editing, fixing, or reviewing tests; when adding mocks, fakes, assertions, unit tests, PG integration tests, frontend component tests, or Playwright e2e tests; or when changing tests after failures.

io.github.openai/openai-agents-python/maintainer-review

Review a GitHub issue or pull request URL as an openai-agents-python maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability or usage gap, judging whether a PR is worth bringing to mergeable quality, comparing open PRs or alternative designs, separating code quality from repository readiness, or drafting a concise maintainer assessment. When closure, additional evidence, or code changes should be requested, also produce a polite, concise, complete, copy-paste-ready maintainer comment.

io.github.openai/openai-agents-python/code-change-verification

Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.

io.github.Raishin/vanguard-frontier-agentic/css-architecture-design-system-review

Review CSS for specificity and cascade-layer discipline, design-token (custom-property) conformance, and responsive strategy correctness (container queries vs. media queries), catching specificity wars, hardcoded-value token drift, and non-reflowing layouts that fail WCAG 1.4.10/1.4.4 before they compound into unmaintainable stylesheets.

io.github.Zafer-Liu/Data-Analysis-Agent/sql

使用 SQL 安全查询当前已选择的数据表

io.github.NousResearch/hermes-agent/claude-design

Design one-off HTML artifacts (landing, deck, prototype).

io.github.bdfinst/agentic-dev-team/docker-image-create

Generate production-ready Dockerfiles from project source code. Detects language/framework automatically and produces multi-stage builds with minimal, distroless, or slim base images. Use this skill whenever the user wants to containerize an application, create a Dockerfile, dockerize a project, build a Docker image, or says things like "make this run in Docker", "create a container for this app", "I need a Dockerfile", "package this for deployment", or "containerize this service". Also trigger when the user has an existing Dockerfile and wants it rewritten for production use, or when they ask about Docker best practices for their project.

io.github.boshu2/agentops/refactor

Execute safe refactors.

io.github.bytedance/agentkit-samples/database-skill

用于火山引擎（Volcengine）数据库（MySQL、veDB-MySQL、PostgreSQL、SQL Server、MongoDB、Redis）和公网自建数据库（MySQL和PostgreSQL系列）的元数据管理、数据分析、开发变更、运维诊断、巡检。覆盖实例列表查询、实例下数据库列表查询、表列表查询、表结构查询、数据查询、数据分析与可视化报告（含跨数据源/文件联合分析）、数据治理（资产盘点/数据画像/数据质量/敏感数据识别）、慢查询诊断、死锁与锁等待分析、事务与活跃会话排查、错误日志查询、表空间分析、健康巡检、监控指标查询、变更工单申请等场景。不支持字节云（ByteCloud）数据库，如 ByteRDS / ByteDoc / ByteRedis。

io.github.code-yeongyu/oh-my-openagent/git-master

MUST USE whenever a task needs a commit or git-history investigation. Covers atomic commits, staging, commit-message style, rebase, squash, fixup/autosquash, blame, bisect, reflog, git log -S/-G, and questions like who wrote this or when was this added. Do not use for ordinary code edits unless the user asks for git work.

io.github.agentscope-ai/AgentTeams/mcporter

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

io.github.vercel-labs/agent-browser/vercel-sandbox

Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include "Vercel Sandbox browser", "microVM Chrome", "agent-browser in sandbox", "browser automation on Vercel", or any task requiring Chrome in a Vercel Sandbox.

io.github.langchain-ai/deepagents/code-review

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.