Agent skills

Track cryptocurrency futures, options, and perpetual swaps with funding

Monitor new token launches, IDOs, and fair launches with contract verification.

Get an unsigned swap transaction via 1inch aggregator on Base.

Place a perpetual futures trade with proper risk management, position sizing, and TP/SL.

Guide the user through registering as a Tradera API developer and creating an application to get API credentials.

Publish an item for sale on Tradera using the REST API (v4).

Obtain a Tradera user token by opening a browser login flow and polling for the resulting token.

Read the user's local TradingView desktop app through opencli: quotes, options chains with greeks and per-strike IV, options expiries…

Eliminates AI writing patterns, translationese, and Mainland Chinese terms to produce natural, authentic Traditional Chinese copy for…

Traefik changes since training cutoff (latest: 3.6.9) — multi-layer routing, Redis rate limiter, p2c/leasttime LB strategies, fast proxy…

Builds and queries multi-language source and binary code graphs for security analysis.

Runs a Trailmark summary analysis on a codebase.

Debugs the Buttercup CRS (Cyber Reasoning System) running on Kubernetes.

Audits a project's dependencies for supply-chain risk: version-matched advisories for direct dependencies and the full lockfile tree…

Searches X/Twitter for real-time perspectives, dev discussions, product feedback, breaking news, and expert opinions using the X API v2.

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval…

Plan and prioritize train test implementation by risk and coverage gaps under unified tick ordering and per-unit snapshot synchronization…

Produce a professional training/workshop report as a .docx file.

Checks in to a movie or episode you're about to watch on Trakt.

Translate a document into another language by re-authoring it so it reads as if it had been written in that language first, not mapped…

Corrects speech-to-text transcription errors in meeting notes, lectures, and interviews using dictionary rules and AI.