Import the official Hugging Face ecosystem skills and sync the\nexisting local coverage with upstream metadata and assets.\n\nRegenerate the canonical catalog, plugin mirrors, docs, and release\nnotes after the maintainer merge batch so main stays in sync.\n\nFixes #417
Document the new Claude Code and Codex plugin distributions and explain how root plugins, bundle plugins, and plugin-safe filtering relate to the full library install.\n\nSync the catalog, plugin compatibility artifacts, and generated plugin-safe subsets so main stays consistent before the v9.0.0 release flow.
Add fourteen skills from Dimillian/Skills, integrate the merged Snowflake and WordPress updates into the maintainer sync, and refresh registry metadata, attributions, walkthrough notes, and the 8.9.0 release notes while keeping validation warnings within budget.
Refresh maintainer-owned artifacts after the PR merge batch, convert the\nJetski loader example to a directly importable Node ESM module, and add\nthe 8.7.0 changelog entry before release preparation.\n\nRefs #382\nRefs #388
Add a Unix activation script, Antigravity-specific installer guidance,
and cross-platform recovery documentation so users can reduce the
live skill set when truncation or context overload appears.
Regenerate the canonical bundle/catalog artifacts after merging the
stale goldrush-api removal so main stays release-ready.
Refs #381
Align public docs and maintainer guidance with the current 1,304-skill catalog state and v8.4.0 release copy.
Refresh README credits for newly imported external sources, update user-facing count references, and document the post-release docs realignment in the changelog and walkthrough.
This commit adds documentation and a reference implementation for
integrating antigravity-awesome-skills with Jetski/Cortex agents
without hitting the context window truncation error (issue #269).
Changes:
- New integration guide: docs/integrations/jetski-cortex.md
- Example loader: examples/jetski-gemini-loader/loader.ts
- Example README: examples/jetski-gemini-loader/README.md
- Updated FAQ: docs/users/faq.md (added context overflow section)
- Updated usage: docs/users/usage.md (added "Can I load all skills?" FAQ)
The solution follows a manifest + lazy-loading pattern:
- Use data/skills_index.json as lightweight manifest
- Only load SKILL.md files for @skill-id references in messages
- Enforce maxSkillsPerTurn limit to prevent overflow
Consolidate the repository into clearer apps, tools, and layered docs areas so contributors can navigate and maintain it more reliably. Align validation, metadata sync, and CI around the same canonical workflow to reduce drift across local checks and GitHub Actions.
