Yaowei Zheng
d4faee3a1e
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.
1.5 KiB
@prismshadow/penguin-skills
The PenguinHarness built-in skill library. A Skill is a directory with a SKILL.md (frontmatter: name, description, version, updated) — files are the runtime source of truth and ship raw in this package's npm tarball.
Skills follow the "index first, body on demand" design: only their metadata is injected into an Agent's system prompt; the Agent reads the full SKILL.md via shell when it actually needs it.
Included skills, in the order of the SKILL_GROUPS manifest in src/index.ts (a skill directory missing from the manifest is still loaded, and lands in an "Other" group):
| Group | Skills |
|---|---|
| Office Productivity | data-analysis, firecrawl |
| Software Development | web-design, software-engineering |
| AI App Development | penguin-sdk, penguin-cli, agenthub-models |
| Agent Tuning | agent-creation, benchmark-design, agent-evaluation, agent-optimization |
Agent Tuning powers the self-improvement loop: create the Target Agent, design a Benchmark, evaluate it, optimize it to version N+1 with a snapshot before every round.
Documentation
Development
pnpm --filter @prismshadow/penguin-skills build # tsup → dist/ (loader API)
pnpm --filter @prismshadow/penguin-skills typecheck
pnpm --filter @prismshadow/penguin-skills test
Part of PenguinHarness · Apache-2.0