Keeps CopilotKit documentation aligned with released Inspector panels, the views shown in its local web overlay. It updates reader guidance and panel mappings when panels change, and checks quickstart instructions against supported platforms.
- Add documentation guidance for a released Inspector panel
- Update documentation after renaming or removing a panel
- Check Inspector instructions in web quickstarts
CopilotKit/CopilotKit☆ 38.1KUpdated Oct 20, 2026
Diagnoses storage failures in GKE, Google's managed Kubernetes service, including stuck Pods, disk attachment errors, storage pressure, and missing volume expansion. It provides diagnostic commands and reviewable configuration patches for deployment through GitOps.
- Diagnose Pods stuck in ContainerCreating
- Investigate slow disks and node storage pressure
- Find why expanded storage is missing inside a container
google/skills☆ 21.4KUpdated Oct 20, 2026
Configure Django file storage on AWS S3 using django-storages and boto3. Separate public and private files, create temporary download or upload links, configure CloudFront delivery, and test storage behavior without accessing real S3 buckets.
- Moving Django static files and uploads to S3
- Separating public files from private documents
- Creating temporary download and direct upload links
Jeffallan/claude-skills☆ 12KUpdated Oct 17, 2026
Set up model training with torchforge for reinforcement learning, where rewards guide improvement. Covers training configurations, custom reward and loss functions, and distributed execution with Monarch and TorchTitan, keeping algorithm experiments separate from infrastructure concerns.
- Train mathematical reasoning models with GRPO
- Experiment with custom reward and loss functions
- Scale training across multiple GPUs or nodes
davila7/claude-code-templates☆ 32.8KUpdated Oct 20, 2026
Helps write and review PyTorch models, training loops, and data loading code. Covers repeatable experiments, saving training progress, and techniques for reducing GPU memory use or improving training speed, with practical code examples.
- Writing or reviewing PyTorch training code
- Investigating inconsistent experiment results
- Improving data loading and GPU memory use
affaan-m/ECC☆ 284.8KUpdated Oct 20, 2026
Control a running iOS Simulator on macOS from Orca’s live device pane. Perform taps, gestures, typing, button presses, and rotation, and inspect the interface element hierarchy to check app changes in the simulator.
- Check iOS app changes in the simulator
- Reproduce gestures and text entry
- Check the display after rotating the device
stablyai/orca☆ 99.6KUpdated Oct 20, 2026
Update all Storybook packages in a project to a chosen release or canary, an early development build. Use it to test changes in external apps, reproduce bugs, and keep package versions aligned while handling peer dependencies.
- Test a canary build in an external app
- Reproduce a bug with a specific Storybook release
- Update all Storybook packages to the latest stable release
storybookjs/storybook☆ 91.3KUpdated Oct 20, 2026
Build and debug Apify Actors, cloud programs for web scraping, automation, and data processing. Get guidance on language templates, input and output schemas, runtime code, local testing, and deployment, with practices for handling credentials and external data.
- Creating an Actor for web scraping
- Defining Actor inputs and structured outputs
- Debugging an Actor with local test data
sickn33/agentic-awesome-skills☆ 48.1KUpdated Oct 19, 2026
Audit Azure Storage settings for public containers, encryption, access permissions, network restrictions, and logging gaps. Use command-line checks and monitoring alerts to produce findings and remediation guidance across subscriptions.
- Auditing storage settings across Azure subscriptions
- Investigating publicly accessible blob containers
- Verifying encryption, network, and logging controls
mukul975/Anthropic-Cybersecurity-Skills☆ 34.8KUpdated Aug 31, 2026
The art and science of narrative-driven brand communication. This skill transforms brand messages into compelling stories that connect emotionally, build memory, and drive action. In a world of infinite content, story is the only thing that cuts through. Great brands don't sell products—they tell stories. Apple tells the story of creative rebels. Nike tells the story of human potential. Patagonia tells the story of environmental stewardship. This skill teaches you to find, craft, and tell your brand's story across every touchpoint. AI amplifies storytelling capability—generating variations, adapting across channels, maintaining consistency—but the human insight that identifies the true story remains essential. This skill bridges narrative craft with AI execution. Use when "story, storytelling, narrative, brand story, origin story, hero journey, emotional connection, customer story, testimonial, case study, brand film, about us, storytelling, narrative, brand-story, emotional, hero-journey, content" mentioned.
The English summary is being prepared. Showing the original description.
omer-metin/skills-for-antigravity☆ 168Updated Jan 22, 2026
Search TikTok e-commerce creator leaderboards via Kalodata and query detailed profiles for specific creators. Supports viewing top-performing influencer-sellers by region, currency, language, and date range, and using creatorId to retrieve follower count, video/live revenue and GPM, contact information, and associated shops. Trigger when users mention TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, TikTok creator profile, creator homepage data, creator contact info, TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, creator analytics, kalodata creator search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok creator leaderboards or detailed sales performance data for a specific TikTok creator.
The English summary is being prepared. Showing the original description.
nexscope-ai/nexscope-ecommerce-skills☆ 96Updated Oct 15, 2026
/nix/store 配下の store path・ファイルを特定するときに必ず参照する。`find /nix/store` で名前を総当たりする前に読む。「あのパッケージの store path が知りたい」「nix-unit のバイナリはどこ」「flake input の実体パスを知りたい」「derivation の出力パスを取りたい」「store の中のこのファイルを探したい」「store path が実在するか確かめたい」といった場面が対象。/nix/store は数万エントリあり深さ無制限の find は完了しない(実測: 20秒でも終わらず出力ゼロ)。同梱の collect_store_lookup.sh が入力の種別判定・一意な解決・候補収集・実在確認までを決定論的に行うので、まずそれを実行してから分析する。nix-locate が返す path はローカルに存在しないことがあるという反直感的な挙動も、データとして検出される。
The English summary is being prepared. Showing the original description.
yasunori0418/skills☆ 9Updated Oct 14, 2026
Review Paperclip interface changes using Storybook, a catalog of component examples, alongside production source and existing browser tests. Report rendering, interaction, visual comparison, and production evidence separately, making simulated behavior and untested areas clear.
- Reviewing component behavior after a feature change
- Checking error, retry, permission, and mobile states
- Verifying Storybook navigation and existing links
paperclipai/paperclip☆ 105.2KUpdated Oct 20, 2026
Build Storybook page stories for SigNoz by mapping API requests, display states, and URL parameters. Use msw mock responses, which simulate API replies, and controls to inspect loading, errors, permissions, and other page states.
- Creating Storybook stories for SigNoz pages
- Switching between loading, empty, and error states
- Checking how permissions affect buttons and controls
SigNoz/signoz☆ 32.4KUpdated Oct 20, 2026
Guides reinforcement learning, where models learn from rewards, using torchforge and PyTorch. Covers reward design, custom loss functions, and distributed training so researchers can experiment with algorithms while keeping infrastructure concerns separate.
- Train mathematical reasoning models with GRPO
- Experiment with custom loss functions
- Scale training across multiple GPUs or nodes
Orchestra-Research/AI-Research-SKILLs☆ 13.8KUpdated Oct 11, 2026
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
The English summary is being prepared. Showing the original description.
aws/agent-toolkit-for-aws☆ 2.9KUpdated Oct 20, 2026
Search TikTok e-commerce store leaderboards via Kalodata and query detailed information for specific stores. Supports viewing high-ranking, high-sales TikTok Shop stores by region, currency, language, and date range, and using shopId to retrieve revenue, sales volume, on-sale product count, self-operated/affiliate/shopping mall channel revenue, and creator collaboration count. Trigger when users mention TikTok store ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok Shop store ranking, kalodata store search, kalodata store ranking, TikTok store detail, TikTok shop profile, store revenue, store sales, TikTok shop ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok shop detail, TikTok store detail, kalodata shop search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok store leaderboards or detailed data for a specific TikTok store.
The English summary is being prepared. Showing the original description.
nexscope-ai/nexscope-ecommerce-skills☆ 96Updated Oct 15, 2026
NestJS decorator usage: built-in route/param/class decorators, custom decorators via `createParamDecorator` and `SetMetadata`, metadata reflection via `Reflector`. Apply when designing controllers, guards, interceptors, or custom decorators. Use this skill to: - Pick the right built-in decorator for routes, params, and DI. - Compose decorators (`@UseGuards(A, B) @UseInterceptors(C)`). - Build custom param decorators (e.g., `@CurrentUser()`). - Use metadata for role-based logic (Reflector + SetMetadata). - Avoid common decorator mistakes. Do NOT use this skill for: - General module/DI patterns (see nest-conventions). - GraphQL-specific decorators (see nest-advanced). - ORM entity decorators (see nest-data-layer).
The English summary is being prepared. Showing the original description.
AratKruglik/claude-sdlc☆ 43Updated Oct 17, 2026
Guide Swift 6.2 migration and concurrency design using MainActor, which keeps related work on the main actor. Address data-race compiler errors, protocol conformance, and explicit background execution for heavy computations through @concurrent.
- Migrating existing apps to Swift 6.2
- Resolving data-race compiler errors
- Moving heavy computations into background execution
affaan-m/ECC☆ 284.8KUpdated Oct 20, 2026
Guides Kotlin HTTP server development with Ktor through examples for API routes, authentication, JSON conversion, and WebSockets. Shows how to organize application components with Koin and verify routes and authentication using integration tests.
- Building REST API routes with Ktor
- Protecting routes with JWT authentication
- Organizing application components with Koin
affaan-m/ECC☆ 284.8KUpdated Oct 20, 2026
Resume interrupted work by loading the latest state saved with /context-save. The skill prefers a save from the current branch, falls back to other branches, and supports handoffs between Conductor workspaces.
- Resuming work after an interruption
- Restoring saved context for the current branch
- Finding saved context from another branch
garrytan/gstack☆ 137.1KUpdated Oct 20, 2026
Maintain Paperclip Storybook examples by comparing them with shipped interfaces and the feature map. Update fixtures, classifications, and catalog references while preserving stable links and clearly identifying current examples, prototypes, historical work, and cases needing review.
- Reconciling Storybook examples after interface changes
- Updating mock data and API responses
- Classifying prototypes and historical examples
paperclipai/paperclip☆ 105.2KUpdated Oct 20, 2026
Create a draft pull request for reviewing Storybook changes. Prepare a title, required labels, and a description using the repository template, including verified manual testing steps that another maintainer can follow.
- Submit Storybook changes for review
- Choose category, CI, and manual QA labels
- Prepare reproducible manual testing instructions
storybookjs/storybook☆ 91.3KUpdated Oct 20, 2026
Plan product listings across startup, SaaS, AI, and MCP directories. Assess launch readiness, choose relevant sites, prepare tailored descriptions, and track submissions, published links, and referral results in a structured workflow.
- Planning directory listings for a product launch
- Tailoring descriptions to different directory audiences
- Preparing an MCP server registry submission
coreyhaines31/marketingskills☆ 55.7KUpdated Oct 20, 2026