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Found 1,868 Skills
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
Research high-intent TikTok and Instagram search keywords using ScaleBrick's framework. Returns categorized keywords with intent type, search volume estimate, difficulty score, and content angle for each.
Triage a batch of raw security findings. Verify each is real, collapse duplicates, re-rank by derived exploitability, and tag with an owner. Takes a directory or file of scanner output and writes TRIAGE.json + TRIAGE.md sorted by what actually needs engineering attention. Use when asked to "triage findings", "validate scanner output", "prioritize vulns", or "review the backlog". Runs interactively by default; pass --auto to skip the interview.
Design and evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data. Use when the user mentions programmatic SEO, pages at scale, template pages, directory pages, location pages, comparison pages, integration pages, or keyword-pattern page generation. This skill focuses on feasibility, strategy, and page system design—not execution unless explicitly requested.
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
Strict Home Assistant Integration Code Review. Used for comprehensive checks before submitting PRs, including Quality Scale rule validation, code style, Config Flow, test coverage, and documentation. Triggered when users say "Review my HA integration", "Check if my code complies with HA specifications", or "Help me review the code ready for submission".
Master plugin folder structure, manifest design, and architectural patterns. Learn to organize plugins for scalability and maintainability.
The complete build-to-production pipeline for Ethereum dApps. Fork mode setup, IPFS deployment, Vercel config, ENS subdomain setup, and the full production checklist. Built around Scaffold-ETH 2 but applicable to any Ethereum frontend project. Use when deploying any dApp to production.
Ghost Security - Software Composition Analysis (SCA) scanner. Scans dependency lockfiles for known vulnerabilities, identifies CVEs, and generates findings with severity levels and remediation guidance. Use when the user asks about dependency vulnerabilities, vulnerable packages, CVE checks, security audits of dependencies, or wants to scan lockfiles like package-lock.json, yarn.lock, go.sum, or Gemfile.lock.
Draft scaffold; incomplete and not for normal use. Cross-platform mobile development patterns. Extends core-coding-standards with mobile-specific rules. Use when building mobile apps.
Set up a Cairo smart contract project with OpenZeppelin Contracts for Cairo on Starknet. Use when users need to: (1) create a new Scarb/Starknet project, (2) add OpenZeppelin Contracts for Cairo dependencies to Scarb.toml, (3) configure individual or umbrella OpenZeppelin packages, or (4) understand Cairo import conventions and component patterns for OpenZeppelin.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.