Changelog, dev startup, README, AgentHub 0.4.0, model catalog, and landing site (#7)
Branch-length batch covering tooling, the model layer, the Web App and the public surfaces. Highlights: - Changelog: a per-release `changelog/<version>/` tree, grouped by the surface each change touches, with a root CHANGELOG.md holding one line per release. - Dev startup: `scripts/dev-prebuild.mjs` serializes the skills+core prebuild behind a lock and keeps `pnpm install` current; `pnpm dev` runs server+web together. - AgentHub 0.3.3 -> 0.4.0: OmniMessage complete payloads carry one opaque `fidelity` object in place of item-level `signature`/`phase`, threaded verbatim through Trace, replay and resume; malformed classification adapted to the new error types. - Model layer: a model is always referenced by an explicit `(provider, model_id)` pair. The provider is never inferred, guessed or defaulted -- both the catalog inference and the unique-match config resolution are gone, and CLI, SDK, server routes and run_subagent all require the complete pair. Catalog gains the Qwen Token Plan, Qwen Pay-As-You-Go and Fireworks AI gateways, plus an expanded OpenRouter group. - Web App: catalog preset sync and per-group speed test on the Models page, positional slash commands, a markdown renderer, skill-library update reminders, and a vertically centred draft page whose upward menus size themselves to the room available. - Public surfaces: restructured READMEs, the penguin.ooo landing site and blog, refreshed benchmark results for both suites, and the demo videos playing on the landing page. Includes the fixes from a full review of the branch: 23 confirmed findings, among them a provider-inference bug that could send one vendor's API key to another vendor's endpoint, and an Escape handler that destroyed the composer's contents unrecoverably. Verified on the branch head: pnpm test (1127 passing, 7 packages), pnpm typecheck and pnpm format:check clean, Playwright e2e 14/14.
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@@ -139,34 +139,28 @@ export function loadLibrarySkills(): LibrarySkill[] {
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*/
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export const SKILL_GROUPS: SkillGroupInfo[] = [
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{
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id: "agent-development",
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title: "Agent Development",
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titleZh: "Agent 开发",
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skills: ["agent-creation", "benchmark-design", "agent-evaluation", "agent-optimization"],
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id: "office-productivity",
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title: "Office Productivity",
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titleZh: "办公效率",
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skills: ["data-analysis", "firecrawl"],
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},
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{
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id: "data-analysis",
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title: "Data Analysis",
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titleZh: "数据分析",
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skills: ["data-analysis"],
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id: "software-development",
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title: "Software Development",
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titleZh: "软件开发",
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skills: ["web-design", "software-engineering"],
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},
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{
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id: "penguin-development",
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title: "Penguin Development",
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titleZh: "Penguin 开发",
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id: "ai-app-development",
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title: "AI App Development",
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titleZh: "AI 应用开发",
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skills: ["penguin-sdk", "penguin-cli", "agenthub-models"],
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},
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{
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id: "web-development",
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title: "Web Development",
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titleZh: "网页开发",
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skills: ["web-design"],
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},
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{
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id: "software-engineering",
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title: "Software Engineering",
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titleZh: "软件工程",
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skills: ["software-engineering"],
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id: "agent-tuning",
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title: "Agent Tuning",
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titleZh: "Agent 调优",
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skills: ["agent-creation", "benchmark-design", "agent-evaluation", "agent-optimization"],
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},
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];
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