All Agent Skills
41,263 results
- Serialzhinkgit嵌入式串口调试工具，用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看。 当用户提到串口、COM 口、UART、AT 命令调试、波特率、Hex 串流、串口抓日志、 串口监控、查看 MCU 输出、二进制协议联调时自动触发，也兼容 /serial 显式调用。 即使用户只是说"看看串口输出"、"发个 AT 命令"或"抓一下日志"，只要上下文涉及 串口通信就应触发此 skill。
- SshzhinkgitSSH/服务器操作助手。用于远程服务器、user@host、SSH 配置、上传下载、部署、跳板机、隧道、端口转发、服务器命令执行等任务；以 ~/.ssh/config 的 Host 别名为唯一服务器清单，优先密钥认证，通过本 skill 的 Python 脚本封装 OpenSSH 操作。
- Terminalzhinkgit双向交互终端会话工具，用于串口终端、SSH 交互 Shell、本地 Shell、设备控制台、AT/CLI 菜单、需要保持上下文的交互式调试；当用户提到交互终端、串口终端、SSH 终端、打开 shell、发送命令后继续读输出、保持会话、登录后操作、菜单式命令行时触发，也兼容 /terminal 显式调用。
- Workflowzhinkgitembeddedskills 的薄编排层，用于在当前 workspace 中发现工程、选择 build/flash/debug/observe 后端、串联 .embeddedskills/state.json，并聚合底层 skill 的结果。 当用户明确输入以下命令之一："一键构建烧录"、"自动诊断"、"串起 build -> flash -> debug -> observe" 或显式调用 /workflow 时触发。
- Verified Agent IdentitybillionsnetworkKnow Your Agent (KYA). Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentication proofs. Based on iden3 self-sovereign identity protocol.
- Ai PromptingjasonkneenEffective communication strategies for AI-assisted development. Learn context-first prompting, phased interactions, iterative refinement, and validation techniques to get better results from Claude and other AI coding assistants.
- Design DocumentationjasonkneenTransform approved requirements into comprehensive technical designs. Define system architecture, component interactions, data models, and interfaces to create a blueprint for implementation.
- Second BrainnicholasspisakSet up a new Obsidian knowledge base with the LLM Wiki pattern. Use when the user wants to create a second brain, initialize a vault, set up a personal knowledge base, or says "onboard". Guides through an interactive wizard to configure vault name, location, domain, agent support, and tooling.
- Second Brain IngestnicholasspisakProcess raw source documents into wiki pages. Use when the user adds files to raw/ and wants them ingested, says "process this source", "ingest this article", "I added something to raw/", or wants to incorporate new material into their knowledge base.
- Second Brain LintnicholasspisakHealth-check the wiki for contradictions, orphan pages, stale claims, and missing cross-references. Use when the user says "audit", "health check", "lint", "find problems", or wants to improve wiki quality.
- Second Brain QuerynicholasspisakAnswer questions against the knowledge base wiki. Use when the user asks a question about their collected knowledge, wants to explore connections between topics, says "what do I know about X", or wants to search their wiki.
- Spec Driven DevelopmentjasonkneenSystematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.
- TroubleshootingjasonkneenDiagnose and resolve common issues during spec-driven development and implementation. Learn strategies for handling spec-reality divergence, dependency blocks, unclear requirements, and other execution challenges.
- Union Search SkillrunningZ1当用户需要跨多个平台搜索内容时使用此技能，包括 GitHub（仓库、代码、问题）、Reddit（帖子、子版块、用户）、小红书、抖音、Bilibili、YouTube、Twitter、微信（公众号文章）、Google、Tavily、秘塔搜索、火山引擎，以及通用搜索引擎（DuckDuckGo、Brave、Yahoo、Bing、Wikipedia、Anna's Archive），或从 18 个图片平台（百度、Bing、Google、Pixabay、Unsplash、火山引擎等）下载图片。提供统一的搜索接口，支持结构化输出格式、结果过滤、排序、自动响应归档和批量图片下载（保留元数据）。
- Find GapscitypaulAdversarially review an existing written artifact — stories, plans, acceptance criteria, specs, or design mocks — to surface missing states, unhandled edge cases, unstated assumptions, unverifiable criteria, and slices still too broad or horizontal.
- FunctionalcitypaulFunctional programming patterns with immutable data. Use when writing logic or data transformations.
- PlanningcitypaulPlanning work in small, known-good increments. Use when starting significant work or breaking down complex tasks.
- TddcitypaulTest-Driven Development workflow. Use for ALL code changes - features, bug fixes, refactoring. TDD is non-negotiable.
- Define HypothesisProduct on PurposeDefines a testable hypothesis with clear success metrics and a validation approach. Use when forming assumptions to test or aligning a team on what success looks like, before any experiment is designed. To design the A/B test or experiment that will validate the hypothesis, use measure-experiment-design.
- Define Jtbd CanvasProduct on PurposeCreates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job. Use when deeply understanding customer motivations, designing for jobs, or reframing product positioning.
- Define Opportunity TreeProduct on PurposeCreates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery. Use when structuring scattered feature ideas or communicating how the roadmap traces to outcomes.
- Define Prioritization FrameworkProduct on PurposeRun applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives. Produces a comparison table showing where rankings agree and diverge across frameworks, and an executive summary with recommendation. Framework applicability is filtered by data availability; Kano requires customer research.
- Define Problem StatementProduct on PurposeCreates a clear problem framing document with user impact, business context, and success criteria. Use when starting a new initiative, realigning a drifted project, or communicating up to leadership.
- Deliver Acceptance CriteriaProduct on PurposeGenerates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form. Use when turning requirements into verifiable scenarios for engineering handoff and QA sign-off.