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Production-grade engineering skills for AI coding agents.

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Fixes #44 ## Changes - Remove deprecated Option 3 (Notepads) section from cursor setup documentation - Update Phase-Specific Skills section to use on-demand rule files instead of notepads - Update...

## Summary Introduce an evaluation framework for testing agent skills effectiveness. The repo had no way to measure whether skills actually improve agent performance - this addresses that gap. Follows...

I found a documentation inconsistency that makes first-time skill contributions ambiguous. `CONTRIBUTING.md` says the `description` should start with "Use when ...", while `docs/skill-anatomy.md` says the description should start with what...

Fixes #35 ## Changes - Add context: fork to all 7 slash commands in .claude/commands/ - Add context: fork to all 20 skill files in skills/*/SKILL.md - Add agent: Plan...

## Background Skills and slash commands currently inject their instructions directly into the active conversation context. Claude Code supports a `context: fork` frontmatter field that runs them in an isolated...

## Summary - **`scripts/validate-skills.js`** — zero-dependency Node.js script that validates every skill on every PR. Checks: SKILL.md exists, frontmatter has `name` + `description`, `name` matches directory, description ≤ 1024 chars,...

example : https://github.com/shashankswe2020-ux/whoop-mcp/blob/main/.github/agents/issue-orchestrator.agent.md Here I combined your pre-existing agents to be used as sub-agents Next I think we can create Phase level agents with required skills and agents access as...

**Summary** Proposal to add a retrieval safety guard to the source-driven-development skill. The skill has no guidance for what happens after docs are fetched, fetched pages can contain directives that...

## Observed behavior When using Claude Code with the agent-skills plugin to scaffold projects, the agent sometimes runs build verification commands (e.g. `npx tsc --noEmit`, `npx vite build`) multiple times...

Hi addyosmani, 关注项目有一阵子了! 在尝试将大语言模型工作流集成到本地测试时,我发现很多官方给的 Free Tier API 最近极易遭遇限制或反爬风控,尤其是做高频请求测试的时候经常掉线。 后来和几个做独立开发的朋友研究了一套比较稳定的策略:**用官方活动通道的长期号,配合反重力模式池,可以极大地规避区域风控。** 目前多并发跑下来,稳定性大幅提升。 因为我们在大批量拿海外的活动名额,如果你这边的团队做持续开发测试也有这种 **高频/长期请求大模型接口** 的痛点需求,我们这边刚好手里有一些闲置的安全高级号渠道可以分摊出来: 🚀 **Gemini Pro 1年高级稳定号 (已配置反重力通过)** - 支持用于自动化并发测试验证。 - 考虑到稳定性,我们将长期获取与分摊地址放在了这里(单测试大概十几块钱):https://gist.github.com/df31d806647d07307f05971d1a20f59a - 或者直接加入TG频道看最新稳定货源:https://t.me/pixelPku 希望这个分享对正在搭建 AI 工作流的朋友有帮助。如果大家有关于绕过接口风控更好的思路,也欢迎下面交流!打扰了,不需要可随时 Close。 📱 TG单独技术/资源交流:...