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Found 706 Skills
Audit and reduce JavaScript package dependency footprint across npm, pnpm, Yarn, and Bun projects. Use when asked to remove unused dependencies, deduplicate workspace dependency versions, lockfiles or node_modules, analyze direct dependencies' transitive lockfile closure, find low-risk upgrades that reduce dependency trees, inline trivial dependencies, or apply e18e dependency replacement recommendations.
Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile, PyTorch make_graphed_callables, TE make_graphed_callables, MCore CudaGraphManager, FullCudaGraphWrapper, manual torch.cuda.graph), code compatibility, capture workflows, dynamic pattern handling, and troubleshooting. Triggers: CUDA graph, torch.cuda.graph, make_graphed_callables, reduce-overhead, graph capture, graph replay, kernel launch overhead, CudaGraphManager, FullCudaGraphWrapper, full-iteration graph, stream capture.
Used when an Agent needs to control OpenTeam via the local openteamcli: create AI group chats, add temporary roles, publish tasks, wait for replies, read results, or continue existing group chats.
Set up end-to-end Change Data Capture (CDC) pipelines on Confluent Cloud using Debezium source connectors, Flink for transformation, and Tableflow for data lake integration. Supports JSON_SR, Avro, and Protobuf formats. Handles schemaless topics (plain JSON without SR) and multi-event topics. This skill handles the complete workflow from database to Iceberg/Delta tables. Use this skill when users want to capture database changes and materialize them into Iceberg or Delta Lake tables via Confluent Cloud Tableflow. Trigger phrases include "CDC to Tableflow", "database to Iceberg", "database to Delta Lake", "stream database changes to data lake", "set up Tableflow pipeline", "schemaless topic to Tableflow", or "multi-event topic to Iceberg". Do NOT trigger for general CDC, Debezium, or database replication requests that do not involve Tableflow or Iceberg/Delta Lake as the destination.
Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating models. Used when the user requires integrating TileGym kernels into `transformers` models.
Use when the agent wants to define, list, inspect, or execute GUI macros via the MacroCLI CLI. Macros are parameterized, CLI-callable workflows — the agent invokes `macro run <name>` and the system handles backend routing (plugin, file transform, accessibility, compiled GUI replay).
Manage Webshare proxies via the Webshare API: list active proxies, download the proxy list, refresh rotating pools, replace broken proxies, read and update proxy config, manage IP allowlists, inspect subscription plans, and kick off an express-checkout flow to buy more proxies. Use when the user wants to work with webshare.io proxies — not scraping, just provisioning and ops.
Review and send Telegram response drafts, manage follow-ups for unanswered outbound messages. Use when the user says "/tg-responder review", "/tg-responder status", "/tg-responder follow-ups", "check telegram drafts", "review pending messages", "telegram inbox", "who hasn't replied", or "follow up".
Use when writing, rewriting, or reviewing PR/CL descriptions, commit messages, or code-change summaries that explain what changed and why. TRIGGER on "write PR description", "improve this commit message", "summarize this diff", "CL description", "change description", or "make this PR/CL description easier to review". DO NOT TRIGGER for code review, PR splitting, code restructuring, user-facing changelogs, or reviewer replies unless the requested output is a change description.
Add X (Twitter) testimonials to the bklit homepage. Fetches username, avatar, and tweet text from a status URL and appends an entry to apps/web/lib/testimonials.ts. Use when the user shares an x.com/twitter.com tweet URL to add or replace a testimonial.
Reply to every PR review comment — from GitHub Copilot, other review bots, and human reviewers — with code fixes or reasoned push-backs. Fetches all comments via the GitHub API, triages each one, fixes code, commits, and posts an inline reply to every comment. Use whenever the user wants to address PR feedback, respond to review comments, handle Copilot's review, clear out reviewer comments, or says 'address the review', 'reply to the comments', 'handle the PR feedback' — even if no specific reviewer is named. Not complete until every comment has a response posted.
Complete fal.ai video-to-video system. PROACTIVELY activate for: (1) Kling O1 video editing, (2) Sora Remix transformation, (3) Video upscaling, (4) Frame interpolation, (5) Style transfer (anime, painting), (6) Object replacement/removal, (7) Color correction, (8) Video enhancement pipelines. Provides: Edit types (general/style/object), upscaling options, style keywords, enhancement workflows. Ensures consistent video transformation without flickering.