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.
32 lines
1.5 KiB
Markdown
32 lines
1.5 KiB
Markdown
# @prismshadow/penguin-skills
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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.
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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.
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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):
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| Group | Skills |
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| --- | --- |
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| Office Productivity | `data-analysis`, `firecrawl` |
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| Software Development | `web-design`, `software-engineering` |
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| AI App Development | `penguin-sdk`, `penguin-cli`, `agenthub-models` |
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| Agent Tuning | `agent-creation`, `benchmark-design`, `agent-evaluation`, `agent-optimization` |
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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.
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## Documentation
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- [Skills](https://penguin.ooo/docs/skills)
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- [Self-Improvement](https://penguin.ooo/docs/self-improvement)
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## Development
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```bash
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pnpm --filter @prismshadow/penguin-skills build # tsup → dist/ (loader API)
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pnpm --filter @prismshadow/penguin-skills typecheck
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pnpm --filter @prismshadow/penguin-skills test
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```
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Part of [PenguinHarness](https://github.com/Prism-Shadow/penguin-harness) · Apache-2.0
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