TanStack Query、Router、Start 在 React 全栈项目中的类型安全参考模式。
发布者
tenequm 发布的技能
已发布 38 个技能,累计 608 次安装。
用 MPP 协议在 HTTP 402 上做机器对机器支付,覆盖 TypeScript、Python、Rust 三套 SDK。
构建高质量 Agent Skills 的实操指南,覆盖 SKILL.md 结构、frontmatter、描述写法与单文件 / references/ 取舍。
Lance v11.0.0-beta.6 与 Rust/Python 引擎的固定版本参考资料,同时覆盖 v10.0.0 稳定线。
用 Wrangler CLI 在 Cloudflare 全球边缘网络上开发并部署 JavaScript、TypeScript、Python 或 Rust 代码。
用 Swift 6.3 构建原生 macOS 应用,覆盖 SwiftUI、SwiftData、并发与端侧 AI。
在 React 与 Node 应用中接入 Privy 登录、嵌入式钱包及 x402/MPP 机器支付协议
用 GROW 与 Solution-Focused 框架,结合 2025 年创业与加密/Web3 现状,帮你压力测试关键决策。
用 TypeScript SDK 把已有 MCP 服务器打磨到生产级的决策手册。
用 HTTP 402 协议为 API、内容和 AI Agent 接入链上按需付费结算。
自动识别项目中的 Effect v3 或 v4 版本,产出符合 API 规范的 TypeScript 代码,覆盖错误建模、并发、依赖注入、Schema、HTTP、SQL 与 AI 等模块。
对 GitHub PR 做端到端评审,产出带行内 diff 评论、按严重程度分组的问题清单和合并建议。
拿到一份 Rust 上手实操基础:心智模型、惯用法、决策表和精简 crate 清单。
为 web3 协议、产品和独立创始人规划 90 天 GTM 冲刺与增长路径。
用 Vite 8、React 19、Hono 4、Tailwind v4、Biome 和 Vitest 这套技术栈搭建并开发类型安全的 TypeScript 应用。
对通话录音做质量分析,输出 LUFS 响度、回声检测、PESQ、STOI、SNR 和频谱等指标。
ERC-8004 可信代理标准(链上身份、信誉、验证与发现)的开发参考资料,覆盖 EVM 全链。
Opinionated Python development setup with uv, ty, ruff, pytest, lefthook, and just. Use when creating a new Python project, writing or fixing pyproject.toml, or configuring linting, formatting, type checking, testing, git hooks, or CI.
GitHub CLI for remote repository analysis, file fetching, codebase comparison, and discovering trending code/repos. Use when analyzing repos without cloning, comparing codebases, or searching for popular GitHub projects.
Build, test, deploy, and audit Solana programs with Anchor or native Rust, plus ZK Compression (Light Protocol). Use for Solana contracts, token operations, compute optimization, deployment, program audits, or compressed tokens and PDAs.
Build Chrome extensions with the WXT framework and TypeScript, React, Vue, or Svelte. Use when creating browser extensions or cross-browser add-ons. Triggers on "chrome extension", "browser extension", WXT, manifest v3, or wxt.config.ts.
Write clear, emotionally resonant, and well-structured content that readers remember and act upon. Use when writing or editing any text - Twitter posts, articles, documentation, emails, comments, updates - for maximum clarity, engagement, and impact.
Build and test Solidity contracts with Foundry. Use when developing Ethereum contracts, writing Forge tests, deploying with scripts, or debugging with Cast/Anvil. Triggers on forge, cast, anvil, foundry.toml, *.t.sol, or *.s.sol.
Writes or audits READMEs against the Standard Readme spec. Use whenever the user asks to create, rewrite, improve, audit, or fix a README, or asks about README quality or structure - even if they never mention "standard readme".
Pre-release code review - lint and type checks, parallel review agents (cleanliness, design, efficiency, side-effect gating), findings validated, fixes on approval. Reviews a GitHub PR when given one. Run before committing, pushing, or on a PR.
Opinionated Go setup with golangci-lint v2, gofumpt, gotestsum, golang-migrate, and just. Use when starting a Go project, configuring lint, format, test, coverage or CI, writing a Justfile, wiring migrations, or leaving a Makefile workflow.
Build Grafana dashboards as code with the grafana-foundation-sdk typed builders (TypeScript or Go). Use when creating, modifying, or generating Grafana dashboard JSON programmatically, converting hand-written dashboard JSON to typed code, building monitoring dashboards, or working with Prometheus/Loki queries in dashboards.
Thorough on-demand refresh of one skill in a skills repo - researches usage, upstream, and docs in parallel, gates twice for approval, bumps version, updates CHANGELOG, validates, commits, watches CI. Use to check a skill's freshness.
Twitter/X research via paid API: search tweets with 50+ operators, fetch tweets with threads/replies/quotes, get user profiles with tweets/followers/followin...
Run coding agents (codex, claude, agy/Antigravity) through the acpx ACP CLI - the headless lane outside a herdr pane (no HERDR_ENV). Use before launching or prompting a subagent, and when a command fails, a session is not found, or a prompt is lost.
Durable project knowledge as Git-native OKF bundles (docs/knowledge/, one concept per file, with provenance and trust tiers). Use to record a decision, finding, or rule that must outlive the session. Not session state or agent instructions.
Launch and drive coding agents (codex, claude, agy) through the Herdr CLI; requires a herdr pane (HERDR_ENV=1). Use before starting or prompting a herdr subagent, and when a herdr command fails or an agent seems stuck or silently lost a prompt.
Pre-release code review that converges - parallel review agents sized to the diff, findings validated against evidence in a run ledger, fixes on approval, then re-reviews its own fixes until a round warrants no edits. Run on /polish-new.
Live data for AI agents - Twitter/X search, Reddit posts and comments, semantic web search, clean page extraction, GitHub repos/code/PRs, Amazon products, Yo...
Generate meme images from memegen.rs by building a URL. The template and caption text go straight into the URL path, and the response is the image (PNG or an...
Discards this thread's accumulated drafts and framings and re-derives the task from a clean problem statement. Use when the user says the thread is contaminated, the conversation is going in circles, or that they want a fresh take.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Write content by interviewing the user instead of drafting - extract their material through questions, then assemble the piece from their own words. Use when the user needs to write something for an audience or mentions "ghostwriter".
关于 Ottermind 技能
tenequm 发布的全部技能。如果某位作者的思路本来就贴合你的工作方式,关注这个作者往往比一个个评估单独技能更省时间。
技能覆盖 Ottermind 智能体能做的全部工作:生成可编辑的 PowerPoint 演示文稿、产出产品图与品牌视觉、在你接入的机器上写代码并运行、把脚本或静态图变成视频、清洗并分析表格数据。技能的作用,就是把一个通用模型变成能稳定处理「你这一版」具体任务的工具。
技能就是一个带简短 frontmatter 头部的 Markdown 文件,所以你可以在运行前先读清楚它到底会做什么,按自己的规范改写,也可以分享给同事。一旦某个技能跑出了你要的结果,就能把它挂到智能体上或设成定时自动化,同样的活儿下次不用任何人再重写提示词。
- Ottermind 技能是什么?
- 一份用 Markdown 写的可复用指令包。它为某一类任务提供上下文、步骤和约束,让结果保持稳定,而不是取决于你当天提示词写得好不好。
- 怎么安装和使用技能?
- 打开任意技能的详情页,读完整份文档,然后安装到你的工作区。之后遇到匹配的任务,智能体可以自动调用它,你也可以直接按名字指定。
- 我可以自己写技能吗?
- 可以。技能就是一个 Markdown 文件,frontmatter 里写清楚它叫什么、什么时候该用。如果有个流程你总要反复向智能体解释,把它一次性写成技能,通常是让它变得可复用的最短路径。
- 技能要额外收费吗?
- 浏览和安装技能库里的技能本身不收费。运行技能与其他智能体任务一样消耗积分,具体取决于你选择的模型和任务的工作量。