Dex Horthy 给 @humanlayer_dev 的上下文工程建议:会话在压缩或新开时丢失上下文,应把所有上下文和决策写进 artifacts 里的文档(设计。
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Dex Horthy 给 @humanlayer_dev 的上下文工程建议:会话在压缩或新开时丢失上下文,应把所有上下文和决策写进 artifacts 里的文档(设计。
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AI Hero Skills v1.3 is out, adding three skills—/implement-spec, /pr, and /retro—and extending the main flow from /grill-with-docs → /to-spec → /to-tickets into implementation, PRs, and retros.
Why it matters: The author rounds out the skill set into a full path from writing specs to PRs and retros, and lays out the trade-offs at each step along with the rough edges they already know about.
i had a lot of fun chatting with @mattpocockuk today about how i was able to land 2,500 PRs last month! Matt is a wonderful interviewer so i think the interview turned out really interesting both of our skill plugins work great together, so i recommend giving both a try and picking the best skills that suit your workflow https://www.youtube.com/watch?v=MN9dGgmLyso
Why it matters: Using Lauren Tan's practice of merging 2500 PRs in a month, Baoyu explains that skipping individual reviews rests on validation Skills and rule constraints, and lays out the conditions under which he'd apply the same approach.
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GitHub 日本和韩国市场的营销负责人把活动运营流程自动化:用 Issue 表单收集活动信息,用 event-setup 标签触发 GitHub Actions,自动复制落地页、生成 UTM 链接、提交邀请邮件并同步项目看板,原本要花近一天的工作缩短到几分钟。
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In an official blog post, OpenAI lays out recommendations for adjusting Skills, AGENTS.md, and task prompts under GPT-6 Astra: Skill descriptions should be as short as possible and state clearly when they apply, and multi-flow Skills should use a root document for minimal routing instead of turning the Skill into an overly specific step-by-step checklist.
Why it matters: OpenAI has published guidance on cleaning up Skills, AGENTS.md, and prompts under GPT-6 Astra, and it carries over to existing repository setups.
The Cline team built a code review agent with the Cline SDK, splitting review into two agent loops—review and judge—then using a driver script to batch-submit the surviving issues as a single COMMENT event to the GitHub PR.
Why it matters: A full breakdown of the plugin, Hooks, and two-stage loop behind a code review agent, transferable to other automated review scenarios.
AI Hero Skills v1.2 发布,整套 Skill 打包为 Claude Code 插件,并为每个 SKILL.md 添加 Codex 元数据,使同一套 Skill 在 Claude Code 和 Codex 中通用。
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Vercel ships v0 API, giving programmatic, headless access to the v0 app-generation agent: send a prompt, v0 generates an app, spins up a dev server in the Vercel Sandbox, and returns a preview URL you can embed in your own UI. The API is now generally available.
Why it matters: v0 opens up its app-generation capability as an API, so readers can judge how to wire it into their own product or agent workflow.
The OpenAI Codex Cookbook lays out a set of repository conventions for wiring Codex into your development process: use AGENTS.md for persistent repository instructions, PLANS.md as the source of phase plans, and split the work into phased build files under harness/build/, with each phase spelling out its goals, acceptance criteria, boundaries, and approval gates.
Why it matters: OpenAI lays out a complete directory convention for constraining Codex with AGENTS.md, PLANS.md, and phased build files—one you can adapt to your own repository.
AI Hero's skills repo ships v1.1, renaming /to-prd to /to-spec, merging /to-plan and /to-issues into /to-tickets, and adding new Skills like /wayfinder, /research, and /prototype.
Why it matters: The author walks through the full Skill flow from grilling to deployment and gives the migration commands for the renames, the merge, and the new /wayfinder—useful for anyone building an AI development workflow.
AI Hero 的 skills 目录发布 v1,通过在各 Skill 上启用 disable-model-invocation: true,让 Skill 描述不再进入模型选择 Skill 时查看的上下文窗口,Skill 描述的 token 成本降低 63%。
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Why it matters: v1 用 disable-model-invocation 把 Skill 描述移出上下文窗口,并区分用户调用与模型调用,读者可据此判断自己的 Skill 组织方式。
Inside Claude Code, Anthropic has already built up hundreds of Skills in active use. The team sorts them into nine categories—library and API references, product validation, data fetching and analysis, business process automation, code scaffolding, code quality and review, CI/CD and deployment, runbooks, and infrastructure operations—and notes that the best Skills should fall cleanly into one of them.
Why it matters: Anthropic’s internal framework for categorizing hundreds of Skills, along with its experience writing them, can carry over to a team building its own Skill library.
Lovable 上线 Skills 功能,把重复交代的工作方式写成可复用的 markdown 技能文件,在相关任务出现时按需加载。技能以文件夹形式组织,主文件 SKILL.md 含 name、description 和 instructions,description 是决定是否触发的唯一依据,支持文件只在主文件引用且确实需要时才加载。
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Why it matters: 官方详解 Lovable Skills 的文件结构、触发机制与写法,并给出可对照的正反示例。
Anthropic 的 Thariq Shihipar 复盘了 Claude Code 工具设计中的取舍,核心主张是工具要贴合模型自身能力,而判断能力边界只能靠观察输出和反复实验。
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Why it matters: Anthropic 工程师复盘 Claude Code 工具设计的取舍,给出可迁移到自建智能体的判断方法。
OpenAI 用 Codex 配合仓库内的 Skills、AGENTS.md 和 GitHub Actions 维护 Agents SDK 仓库,把验证、发布准备、示例集成测试和 PR 评审变成可重复流程。
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Why it matters: OpenAI 官方公开了用 Skills、AGENTS.md 和 GitHub Action 维护 Agents SDK 仓库的完整配置,可迁移到其他开源项目。
OpenAI's developer blog explains how to systematically test Codex Agent Skills with evals, turning "it feels better" into comparable scores.
Why it matters: It lays out a complete workflow for systematically validating Codex Skills with evals, from defining success criteria to deterministic checks and scoring.