validateSearch, search param validation with Zod/Valibot/ArkType adapters, fallback(), search middlewares (retainSearchParams, stripSearchParams), custom serialization (parseSearch, stringifySearch), search param inheritance, loaderDeps for cache keys, reading and writing search params.
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hashintel/brunch☆ 82026年10月21日 更新
Draft or explicitly apply a paid-ad campaign launch through Claude Ads capability-gated adapters. Use for campaign creation, launch plans, publishing ads, activating campaigns, uploading creative, or requests to push a campaign live.
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unempyd/revenueos☆ 72026年9月14日 更新
Set up a paid-media client, brand, account, data-source, privacy, and mutation-guardrail profile for Claude Ads. Use for onboarding, initial configuration, brand DNA, API tokens or credential profiles, environment-variable or keychain setup, connecting exports or read adapters, safe native or verified-local installation, curl-pipe-bash install requests, declaring KPIs, or preparing a new advertising project.
中文简介正在准备中。当前显示原文说明。
unempyd/revenueos☆ 72026年9月14日 更新
Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.
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unempyd/revenueos☆ 72026年9月14日 更新
Compatibility alias for existing OpenClaw installations that now applies Carapace semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives.
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openclaw/carapace☆ 72026年10月21日 更新
Build or modify OpenClaw application UI using canonical semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives. Use for product interfaces, component styling, theme work, or design-token integration.
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openclaw/carapace☆ 72026年10月21日 更新
Hive CE (Community Edition v2.19.x) NoSQL object database for Flutter providing blazing-fast key-value and object storage with TypeAdapters. Use this skill when implementing offline-first architecture, high-performance local data caching, NoSQL document-style object stores, custom TypeAdapter serialization for complex objects, lazy loading boxes for memory efficiency, encrypted boxes (HiveAES encryption), database compaction for size optimization, storing large datasets without SQL schema overhead, implementing local-first sync patterns, or migrating from SQLite to NoSQL. Supports primitive types, custom objects, lists, and maps. Ideal for apps requiring ultra-fast read/write operations (microsecond latency), object persistence without ORM complexity, or local-first data architecture.
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Poorgramer-Zack/dart-expert-skills☆ 72026年8月11日 更新
Guide Prisma ORM work. Use for schema design, Prisma Client, migrations, Postgres setup, upgrades, driver adapters, and query review.
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CruxExperts/LocalSetup☆ 62026年10月21日 更新
Deploy and configure web frameworks on Netlify — build settings and SSR/edge adapters plus local platform emulation and env vars. Use when setting up or fixing a framework deploy (Next.js / Astro / Nuxt / SvelteKit / Remix / React Router / TanStack Start / SolidStart / Gatsby / Angular / Vite / Express / Hydrogen / Hugo / Eleventy / Vue / React), adding SSR or edge functions or middleware wired to Netlify context, fixing SPA redirect and catch-all rules, setting a build command or publish directory, or debugging "why isn't my env var updating" and framework build failures.
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bg-szy/TOP-SKILLS☆ 62026年9月8日 更新
Expert en clean architecture (use cases, entities, interface adapters, dependency inversion)
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ziri22/agency-roster☆ 62026年7月1日 更新
Current attested Codex, Claude Code, and Agent Skills extension contracts for skilltap. Use when designing, implementing, reviewing, or documenting harness adapters; plugin or marketplace manifests; native plugin lifecycle; skill directories or SKILL.md frontmatter; AGENTS.md/CLAUDE.md bridges; configuration scopes; compatibility transfer; adoption, reconciliation, status, or update behavior.
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nklisch/skilltap☆ 62026年9月30日 更新
Guide for the weight lifecycle — downloading trained weights from Tinker, merging LoRA adapters into HuggingFace models, and publishing to HuggingFace Hub. Use when the user asks about exporting, downloading, merging, or publishing trained model weights.
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uiuc-kang-lab/rlvr_generalization_bounds☆ 52026年5月13日 更新
Curate Busabase training examples, create immutable dataset snapshots, run reproducible LoRA or QLoRA fine-tunes on a local Apple Silicon Mac with MLX-LM, compare the untouched baseline and adapter on locked evaluations, and register approved adapters. Use when the user wants to train, fine-tune, evaluate, compare, promote, or manage a local language model with Busabase as the workflow source of truth. Do not use for RAG-only knowledge retrieval, cloud training, or training a foundation model from scratch.
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mr-kelly/skills☆ 52026年10月20日 更新
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
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huang-sh/DeepScience☆ 42026年7月15日 更新
Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, original database-error preservation, and verification.
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prisma/prisma-plugin☆ 32026年10月9日 更新
Hexagonal Architecture (Ports & Adapters) knowledge base. Provides patterns, antipatterns, and PHP-specific guidelines for Hexagonal Architecture audits.
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MikeCheng1208/BattleTree☆ 22026年7月22日 更新
Generates DDD Anti-Corruption Layer for PHP 8.5. Creates translation layer between bounded contexts or external systems. Includes adapters, translators, facades, and unit tests.
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MikeCheng1208/BattleTree☆ 22026年7月22日 更新
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
中文简介正在准备中。当前显示原文说明。
Lord1Egypt/awesome-skill-forge☆ 22026年6月10日 更新