feat(blog): grouped list, pinned posts, author/date/copy-link metadata (#20)

Co-authored-by: Alice <alice@prismshadow.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

packages/landing/content/blog/introducing-penguinharness.en.md

@@ -2,6 +2,7 @@
 title: "Introducing PenguinHarness: agents that build agents"
 date: 2026-07-17
 category: news
+pinned: true
 excerpt: We proved agents can self-evolve in our GDPevo Benchmark — now we are bringing that capability to everyone. The first open-source harness with recursive self-improvement covers everything from one-sentence agent construction to continuous self-evolution.
 ---
 

packages/landing/content/blog/introducing-penguinharness.zh.md

@@ -2,6 +2,7 @@
 title: PenguinHarness 正式发布：让 Agent 为你构建 Agent
 date: 2026-07-17
 category: news
+pinned: true
 excerpt: 我们在 GDPevo Benchmark 中验证了 Agent 自我进化的能力，现在把它带给所有人——首个支持递归自我进化的开源 Harness 正式发布，从一句话构建 Agent 到持续自我进化，一套基础设施全部覆盖。
 ---
 

packages/landing/content/blog/local-agents-on-amd-gpus.en.md

@@ -1,7 +1,8 @@
 ---
 title: "A closer look at PenguinHarness — and running a self-improving agent locally on an AMD GPU"
 date: 2026-07-20
-category: news
+category: practice
+author: Ning Zhang (AMD), Yuyang Gao (AMD), Yaowei Zheng (PrismShadow)
 excerpt: What PenguinHarness actually is, the ideas behind its architecture, and a real end-to-end run — a local open-weight model on an AMD GPU that fails a scored task, then improves itself from 0 to 4 out of 5 by editing its own files, entirely on-device.
 ---
 

packages/landing/content/blog/local-agents-on-amd-gpus.zh.md

@@ -1,7 +1,8 @@
 ---
 title: 深入了解 PenguinHarness——并在 AMD GPU 上本地跑通一个自我进化的 Agent
 date: 2026-07-20
-category: news
+category: practice
+author: 张宁（AMD）、高钰洋（AMD）、郑耀威（PrismShadow）
 excerpt: PenguinHarness 到底是什么、它的架构背后有哪些理念，以及一次真实的端到端运行——一个完全本地、运行在 AMD GPU 上的开源权重模型，先在一个打分任务上失败，再通过编辑自己的文件把分数从 0 提升到 4（满分 5），全程数据不出本机。
 ---
 

packages/landing/content/blog/penguin-harness-self-improvement-with-amd-gpu.en.md

@@ -1,15 +1,14 @@
 ---
 title: "Implementing Agent Self-Improvement with PenguinHarness on an AMD GPU"
 date: 2026-07-22
-category: "news"
+category: practice
+author: Yuyang Gao (AMD), Ning Zhang (AMD), Yaowei Zheng (PrismShadow)
 excerpt: "A complete PenguinHarness self-improvement loop—from baseline evaluation and Trace analysis to Agent optimization and rollback—using a local Qwen3:8B model alongside the Fireworks API."
 description: "Learn how PenguinHarness combines Benchmarks, Traces, editable Agent State, Snapshots, and rollback in a dual-model experiment with local Qwen3:8B and the Fireworks API."
 ---
 
 
 
-# Implementing Agent Self-Improvement with PenguinHarness on an AMD GPU
-
 *AMD × PrismShadow — Yuyang Gao and Ning Zhang (AMD), Yaowei Zheng (PrismShadow).*
 
 [PenguinHarness](https://github.com/Prism-Shadow/penguin-harness) is an open-source Agent Harness that brings model integrations, Agent configuration, workspace tools, Sessions, Traces, Skills, and Benchmarks into one runtime, with both a CLI and a Web UI. It can use hosted models as well as local models exposed through an OpenAI-compatible endpoint.

packages/landing/content/blog/penguin-harness-self-improvement-with-amd-gpu.zh.md

@@ -1,12 +1,11 @@
 ---
 title: "在 AMD GPU 上用 PenguinHarness 实现 Agent 自我进化"
 date: 2026-07-22
-category: "news"
+category: practice
+author: 高钰洋（AMD）、张宁（AMD）、郑耀威（PrismShadow）
 excerpt: "通过本地 Qwen3:8B 与 Fireworks API 的双模型分工，完整演示 PenguinHarness 从基线评测、Trace 分析到 Agent 优化与回滚的自我进化闭环。"
 description: "介绍 PenguinHarness 如何通过 Benchmark、Trace、可编辑的 Agent State 与 Snapshot 回滚构建自我进化闭环，并用本地 Qwen3:8B 与 Fireworks API 完成一次双模型实验。"
 ---
-# 在 AMD GPU 上用 PenguinHarness 实现 Agent 自我进化
-
 *AMD × PrismShadow——高钰洋、张宁（AMD），郑耀威（PrismShadow）。*
 
 [PenguinHarness](https://github.com/Prism-Shadow/penguin-harness) 是一个开源的 Agent Harness。它把模型接入、Agent 配置、工作区工具、Session、Trace、Skill 和 Benchmark 放在同一套运行环境中，并同时提供 CLI 与 Web UI。在线模型和通过 OpenAI 兼容接口暴露的本地模型，都可以作为其中的推理后端。