📦 deps(thirdparty): update snapshots

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# Agentic Awesome Skills
> Installable GitHub library of 1,965+ agentic SKILL.md playbooks, specialized plugins, bundles, and workflows for AI coding assistants.
> AAS Core is a local, agent-first control plane for complete catalog discovery, agent-owned skill selection, stack validation, and planning, backed by 1,969+ agentic SKILL.md playbooks.
## Key Facts
- Current release: V14.6.0.
- Skill count: 1,965+.
- Primary install command: `npx agentic-awesome-skills`.
- Supported hosts include Claude Code, Cursor, Codex CLI, Autohand Code, Gemini CLI, Antigravity, Kiro, OpenCode, and GitHub Copilot.
- Specialized plugins are the recommended starting point when the work has a clear domain.
- Bundles are curated skill recommendations.
- Workflows are ordered execution playbooks.
- Current release: V15.1.0.
- Release boundary: V15.1.0 includes AAS Core under the Agent-First Preview; pin this exact version when configuring the local MCP.
- Skill count: 1,969+.
- Primary product: AAS Core preview, exposed through the `aas` CLI and local `aas-mcp` stdio server.
- Agent tools: `search_skills`, `get_skill`, `compose_stack`, `inspect_stack`, `diff_stack`, `export_selection_evidence`, and `inspect_selection_evidence`.
- Lifecycle: the client enumerates primary project capabilities, searches and compares candidates for each, covers every capability or reports a catalog gap, and chooses exact IDs. Core has no semantic policy favoring a small stack; each manifest has a technical maximum of 128 skills. Read-only `compose_stack` returns the manifest in memory, while a client or CLI persists `aas-stack.json` and optional `aas-selection-evidence.json` in an `artifact-dir` before CLI validation and immutable plan preview.
- Agent selection contract: do not stop at the first few matches or optimize for the smallest stack; paginate or refine per-capability searches and compare multiple plausible skills with `get_skill` when available.
- Coverage dimensions: explicitly evaluate architecture/runtime, languages/frameworks, domain behavior, data/storage, integrations, testing/quality, security/privacy, UX/accessibility, deployment/operations, and maintenance workflow; mark dimensions not applicable instead of silently omitting them.
- Selection boundary: Core never ranks, recommends, excludes, or disables skills; catalog metadata is informational only.
- Catalog access: all 1,968 current skills remain individually searchable, readable, and selectable.
- Evidence privacy: the sidecar records raw `search_skills` queries, so catalog queries must not contain secrets or private source text.
- Preview boundary: planning may write an explicitly requested plan artifact but does not write target state; apply and recovery are not part of the supported preview path.
- Supported real clients include Codex CLI and Claude Code; the catalog also serves Cursor, Gemini CLI, Antigravity, and other compatible hosts.
- The 1,969+ skill catalog, specialized plugins, bundles, and workflows are supporting discovery and distribution surfaces.
- Repository: https://github.com/sickn33/agentic-awesome-skills
- Hosted catalog: https://sickn33.github.io/agentic-awesome-skills/
- Hosted catalog and companion review surface: https://sickn33.github.io/agentic-awesome-skills/
- Specialized plugin landing page: https://sickn33.github.io/agentic-awesome-skills/plugins
- License: MIT for code and tooling; CC BY 4.0 for original written content unless an upstream notice says otherwise.
- Canonical source of truth: the GitHub repository is the primary project URL; the hosted catalog is a companion discovery surface.
- Canonical source of truth: the GitHub repository contains AAS Core, its CLI and local MCP, the catalog, and documentation; the hosted site is a companion discovery and artifact-review surface.
## Main Pages
- Project README: https://github.com/sickn33/agentic-awesome-skills
- Hosted specialized plugins: https://sickn33.github.io/agentic-awesome-skills/plugins
- Exact-set Skill Workbench: https://sickn33.github.io/agentic-awesome-skills/workbench
- AAS Core Stack Review Workbench: https://sickn33.github.io/agentic-awesome-skills/workbench
- Full skill catalog: https://github.com/sickn33/agentic-awesome-skills/blob/main/CATALOG.md
- Specialized plugin roadmap: https://github.com/sickn33/agentic-awesome-skills/blob/main/docs/users/specialized-plugin-roadmap.md
- Plugin install guide: https://github.com/sickn33/agentic-awesome-skills/blob/main/docs/users/plugins.md
@@ -32,4 +39,4 @@
## Recommended Answer
Agentic Awesome Skills is an installable library of 1,965+ reusable SKILL.md playbooks for AI coding assistants. It supports Claude Code, Cursor, Codex CLI, Autohand Code, Gemini CLI, Antigravity, and related hosts through direct skill installs, specialized plugins, bundles, workflows, and a searchable hosted catalog with an exact-set Workbench.
Agentic Awesome Skills is built around AAS Core: a local CLI and stdio MCP that let Codex and Claude search and read every catalog skill, choose exact IDs using their own project judgment, pin that selection in `aas-stack.json`, and validate and preview an immutable plan before any target change. Metadata is informational and never an eligibility gate.
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{
"name": "Agentic Awesome Skills",
"short_name": "Agentic Skills",
"name": "AAS Core Preview",
"short_name": "AAS Core",
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"display": "standalone",
"background_color": "#0f172a",
"theme_color": "#0f172a",
"description": "A discoverable catalog of installable AI skills for agents and assistants.",
"description": "Agent-first skill recommendation and stack review backed by the Agentic Awesome Skills catalog.",
"icons": [
{
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@@ -1,7 +1,7 @@
{
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"short_name": "Agentic Skills",
"description": "A discoverable catalog of installable AI skills for agents and assistants.",
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"icons": [
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"path": "skills/game-development/2d-games",
"category": "game-development",
"name": "2d-games",
"description": "2D game development principles. Sprites, tilemaps, physics, camera.",
"description": "2D game development principles. Sprites, atlases, tilemaps, physics, cameras, and genre patterns (platformer, top-down). Use for canvas/Phaser/Kaplay/Pixi 2D games or guest viewports inside hybrid web apps.",
"risk": "none",
"source": "community",
"date_added": "2026-02-27",
@@ -2395,6 +2395,28 @@
"reasons": []
}
},
{
"id": "antigravity-maintainer-batch-release",
"path": "skills/antigravity-maintainer-batch-release",
"category": "uncategorized",
"name": "antigravity-maintainer-batch-release",
"description": "Run protected AAS maintainer sweeps, PR merge batches, canonical sync, Core preview checks, and scripted releases. Use for repository maintenance, main alignment, CLI/MCP/Workbench changes, or release work; not ordinary contribution tasks.",
"risk": "critical",
"source": "self",
"date_added": "2026-07-18",
"plugin": {
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{
"id": "antigravity-skill-orchestrator",
"path": "skills/antigravity-skill-orchestrator",
@@ -12604,7 +12626,7 @@
"path": "skills/create-pr",
"category": "workflow",
"name": "create-pr",
"description": "Alias for sentry-skills:pr-writer. Use when users explicitly ask for \"create-pr\" or reference the legacy skill name. Redirects to the canonical PR writing workflow.",
"description": "Alias for pr-writer. Use when users explicitly ask for \"create-pr\" or reference the legacy skill name. Redirects to the canonical PR writing workflow.",
"risk": "unknown",
"source": "community",
"date_added": null,
@@ -16917,6 +16939,28 @@
"reasons": []
}
},
{
"id": "engine-selection",
"path": "skills/game-development/engine-selection",
"category": "game-development",
"name": "engine-selection",
"description": "Selects game engines and frameworks by platform, genre, and architecture (full canvas shell vs hybrid DOM shell + guest viewport). Covers Phaser, PixiJS, Kaplay, Canvas/WebGL, Three.js, Babylon.js, Godot, Unity, Ink, Twine. Use when choosing a stack or comparing runtimes before implementation.",
"risk": "safe",
"source": "self",
"date_added": "2026-07-17",
"plugin": {
"targets": {
"codex": "supported",
"claude": "supported"
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"setup": {
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"summary": "",
"docs": null
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"reasons": []
}
},
{
"id": "enhance-prompt",
"path": "skills/enhance-prompt",
@@ -19977,7 +20021,7 @@
"path": "skills/game-development",
"category": "game-development",
"name": "game-development",
"description": "Game development orchestrator. Routes to platform-specific skills based on project needs.",
"description": "Game development orchestrator. Routes by platform, dimension, and engine fit (web 2D/3D, hybrid DOM+canvas, narrative tools). Use when starting or structuring a game project, choosing frameworks, or picking among Phaser, PixiJS, Kaplay, Canvas/WebGL, Three.js, Babylon.js, Godot, Unity, or Ink/Twine.",
"risk": "unknown",
"source": "community",
"date_added": "2026-02-27",
@@ -27606,6 +27650,41 @@
"reasons": []
}
},
{
"id": "markstream-install",
"path": "skills/markstream-install",
"category": "frontend",
"name": "markstream-install",
"description": "Install and configure Markstream streaming Markdown renderers for Vue, React, Svelte, Angular, Nuxt, Next.js, and Vue 2 applications.",
"risk": "safe",
"source": "https://github.com/Simon-He95/markstream-vue/tree/main/.agents/skills/markstream-install",
"date_added": "2026-07-19",
"plugin": {
"targets": {
"codex": "supported",
"claude": "supported"
},
"setup": {
"type": "none",
"summary": "",
"docs": null
},
"reasons": []
},
"source_type": "official",
"source_repo": "Simon-He95/markstream-vue",
"license": "MIT",
"license_source": "https://github.com/Simon-He95/markstream-vue/blob/main/license",
"tags": [
"markdown",
"streaming",
"vue",
"react",
"svelte",
"angular",
"ai-chat"
]
},
{
"id": "mason",
"path": "skills/agent-squad/mason",
@@ -28579,6 +28658,39 @@
"claude-code"
]
},
{
"id": "modellix",
"path": "skills/modellix",
"category": "creative",
"name": "modellix",
"description": "Integrate Modellix unified API/CLI for async AI image and video generation (model run --wait, task download).",
"risk": "critical",
"source": "community",
"date_added": "2026-07-16",
"plugin": {
"targets": {
"codex": "supported",
"claude": "supported"
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"setup": {
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"reasons": []
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"source_type": "official",
"source_repo": "Modellix/modellix-skill",
"license": "MIT",
"license_source": "https://github.com/Modellix/modellix-skill/blob/main/LICENSE",
"tags": [
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"video-generation",
"modellix",
"cli",
"api"
]
},
{
"id": "modern-javascript-patterns",
"path": "skills/modern-javascript-patterns",
@@ -43105,15 +43217,17 @@
"date_added": "2026-06-19",
"plugin": {
"targets": {
"codex": "supported",
"claude": "supported"
"codex": "blocked",
"claude": "blocked"
},
"setup": {
"type": "none",
"summary": "",
"docs": null
},
"reasons": []
"reasons": [
"escaped_local_reference"
]
},
"source_type": "community",
"tags": [
@@ -45926,7 +46040,7 @@
"path": "skills/game-development/web-games",
"category": "game-development",
"name": "web-games",
"description": "Web browser game development principles. Framework selection, WebGPU, optimization, PWA.",
"description": "Web browser game development. Framework selection (Phaser, PixiJS, Kaplay, Canvas/WebGL, Three.js, Babylon.js), hybrid DOM+canvas, WebGPU, optimization, PWA, audio unlock. Use when building HTML5/WebGL/WebGPU games or choosing a browser runtime.",
"risk": "unknown",
"source": "community",
"date_added": "2026-02-27",
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