Top Agent Skills

Provides guidance on using Zsh, including Oh My Zsh plugins, themes, and performance best practices.

Run GitHub Actions workflows locally with act, including installation, configuration, event payloads, secrets, and debugging.

Manages Android devices and Wear OS watches via ADB scripts for screenshots, screen recording, tile management, package operations, and device inspection.

Provides guidelines for building with Botpress's Agent Development Kit (ADK), covering primitives, project structure, CLI usage, and documentation lookups.

Manages Architecture Decision Records (ADRs) throughout their lifecycle, including reading, writing, and aligning development with documented decisions.

Fetches and applies Google API Improvement Proposals (AIP) standards when designing or reviewing APIs, protobuf definitions, or related work.

Decode AKM (Asahi Kasei Microdevices) part numbers, including series, package, interface, and resolution, with guidance for identifying compatible replacements.

Conduct Gage R&R studies and validate measurement systems per AIAG MSA manual, covering variable and attribute studies, acceptance criteria, and calculation methods.

Annotates single-cell RNA-seq data by scoring marker genes, transferring labels with CellTypist, or reasoning over marker lists with an LLM.

Short alias that routes invocations to the vc-phase-loop skill for hands-off completion.

Quantize large language models to 4-bit precision using activation-aware weight quantization, reducing memory footprint and speeding up inference with minimal accuracy loss.

Classifies HTML pages, forms, and fields using machine learning to detect page types, form types, and field types from HTML content or URLs.

Generate images, videos, audio, and more using fal.ai AI models, with support for text-to-image, image-to-video, text-to-speech, speech-to-text, image editing, upscaling, model search, workflow creation, and cost estimation.

Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends and integrations with HuggingFace Transformers, vLLM, and PEFT/LoRA.

High-performance numerical computing with JAX, covering functional transformations, Flax NNX, and best practices for ML research.

Scales Python ML workloads across clusters using Ray's distributed tasks, actors, data, and serving capabilities.

Annotates single-cell RNA-seq data by scoring marker genes, transferring labels with CellTypist, or reasoning over cluster markers with an LLM.

Fine-tune instruction-following LLMs with Unsloth's optimized SFTTrainer, covering dataset formatting, chat templates, training configuration, and thinking-model patterns.

Provides Python code patterns for making HTTP requests with httpx, covering sync and async clients, authentication, streaming, timeouts, retries, and WebSocket support.

Build, deploy, and interact with Juicebox V5 projects, including revnets, hooks, and omnichain deployments, with API references, implementation details, UI generation, and GraphQL queries.

Generates type-safe TypeScript clients from OpenAPI specs using Orval, covering configuration, React Query/SWR hooks, custom mutators, and MSW mocks.

Runs the CAAM operator skill using Codex and the local shell, following the source skill's domain behavior and output expectations.

Runs the casr operator skill in a Codex environment, reading the source skill for behavior and using the local shell with JSON/NDJSON command surfaces.

Runs the CASS operator skill in a Codex environment, using the local shell and referencing the source skill for domain behavior.

Scaffolds a coder-eval task suite in a repository by scanning for testable components, writing one real task, and validating it.

Mines SpecStory coding histories from any agent into a persistent corpus, surfaces reproducible workflows with corroborated evidence, and interactively forges chosen ones into skills installed across agent harnesses.

Persists context across sessions by compiling sources into a local SQLite store and markdown tree, then retrieves relevant memory via embedding search.

Turns a natural-language request into one or more coder-eval task YAML files with minimal prompts and weighted success criteria, validated against the coder-eval CLI.

Quickly look up concise, community-maintained command examples instead of full man pages.

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

Bootstraps a local Python environment for a skill package by creating a venv and installing dependencies with a stdlib-only script.

Defines when to create Epic, Feature, UserStory, or Task tickets and adds concise guidance to SKILL.md.

Generate A2UI 0.8 protocol compliant UI code for agent-driven interfaces, including JSONL messages for surface updates, data model updates, and rendering.

Implements real-time pub/sub messaging with Ably's edge infrastructure, covering presence, message history, and token authentication.

Provides Kelvin Garr's fixed AICA brand identity and Next.js 14 implementation guide for building his personal sites and AICA-branded projects.

Generates and refactors content optimized for AI Overviews, ChatGPT, and Gemini with a structure that is easy to cite and summarize.

Establishes a two-party working posture where the user directs and the agent executes, surfacing every genuine fork as a batched single-select question with a recommended default.

Autonomously implements large Elixir/Phoenix features end-to-end: discovers complexity, plans with specialist agents, implements with verification, reviews code, and cycles back on issues.

Spawns GLM-5 powered teammates with thinking mode for coding, review, testing, planning, and research tasks.

Loads one or more predefined role files to focus work on a specific task, activated by commands like "role [name]".

Adds a persistent pattern or rule that Ralph will remember and apply to future stories.

Manages personal local Agent Skill files by detecting reusable material, searching for similar skills, and creating or updating SKILL.md folders after user approval.

Builds multi-tenant Laravel SaaS applications with stancl/tenancy v3, covering tenant identification, data isolation, bootstrappers, queues, and production patterns.

Write and run analytical SQL queries against Redpanda SQL (Oxla), a distributed PostgreSQL-wire-compatible columnar database, including data loading, external sources, and type handling.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Manage Kafka consumer groups on Redpanda with rpk group: list, describe, seek, delete groups, and delete offsets.

Manage Redpanda topics and produce or consume records from the CLI using the `rpk topic` command group. Use when creating or deleting topics with custom partitions, replication, or configs; altering topic configs or retention; adding partitions; trimming or deleting records; or using `rpk topic produce`/`consume` with.

Operate a self-managed Redpanda broker process and node from the CLI using the `rpk redpanda` command family and `rpk iotune`: node lifecycle (start/stop), production vs. development mode, kernel autotuning, node configuration (redpanda.yaml), and per-node Admin API operations including broker.

Manage schemas, subjects, compatibility levels, modes, and contexts in the Redpanda Schema Registry via the rpk registry CLI. Register or fetch Avro, Protobuf, and JSON schemas, set compatibility levels, change registry mode, and work with schema contexts.

Manage Redpanda authentication and authorization from the CLI using the `rpk security` command group, covering SASL/SCRAM users, Kafka ACLs, RBAC roles, and Cloud secrets.

Diagnose and observe an Oxla distributed analytical database using system catalog tables, Prometheus metrics, runtime log-level changes, and troubleshooting workflows for slow queries, node health, and memory/OOM pressure. Also covers debugging Oxla's external data sources, including the Redpanda/Kafka ingestion path.

Provisions and manages Redpanda Cloud Dedicated clusters via the Control Plane API, covering network and cluster creation, polling operations, and connectivity configuration.

Provisions and manages Redpanda Cloud Serverless clusters via the public Control Plane API, including authentication, cluster lifecycle, and data-plane operations.

Streams change data capture from Oracle Database into Redpanda or Kafka using the oracledb_cdc input in Redpanda Connect, which reads redo logs via LogMiner. Covers configuration, Oracle setup, checkpointing, and enterprise features.

Streams change data capture from MongoDB into Redpanda or Kafka using Redpanda Connect's mongodb_cdc input, covering Change Streams, snapshots, document modes, and resume-token checkpointing.

Streams change data capture from Google Cloud Spanner into Redpanda or Kafka using Redpanda Connect's gcp_spanner_cdc input, with partition-aware watermarked delivery and support for Redpanda Enterprise features.

Guides setup and operation of the aws_dynamodb_cdc input in Redpanda Connect, which streams change data capture from AWS DynamoDB into Redpanda or Kafka using DynamoDB Streams. Covers enabling streams, IAM policies, checkpoint tables, snapshot modes, table discovery, and operational constraints.

Streams change data capture from PostgreSQL into Redpanda or Kafka using Redpanda Connect's postgres_cdc input, covering setup, snapshotting, and troubleshooting.

Streams change data capture from Microsoft SQL Server into Redpanda or Kafka using Redpanda Connect's microsoft_sql_server_cdc input, covering setup, configuration, and troubleshooting.

Streams change data capture events from a TigerBeetle financial transactions database into Redpanda or Kafka using the tigerbeetle_cdc input, with checkpointing, filtering, and routing guidance.