llm-ai
683
codex-claude-cursor-loop
Orchestrates a triple-AI engineering loop where Claude plans, Codex validates logic and reviews code, and Cursor implements, with continuous feedback for optimal code quality
bear2u
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
676
math-tools
Deterministic mathematical computation using SymPy. Use for ANY math operation requiring exact/verified results - basic arithmetic, algebra (simplify, expand, factor, solve equations), calculus (derivatives, integrals, limits, series), linear algebra (matrices, determinants, eigenvalues), trigonometry, number theory (primes, GCD/LCM, factorization), and statistics. Ensures mathematical accuracy by using symbolic computation rather than LLM estimation.
ananddtyagi
data-ai
machine-learning
664
alfworld-object-storer
Use when the agent is holding an object and needs to place it into a target receptacle in ALFWorld. This skill checks receptacle suitability, opens closed containers if needed, and executes the `put` command to store the object. It handles both open surfaces (countertops, beds) and closed containers (drawers, cabinets).
zjunlp
data-ai
machine-learning
664
alfworld-object-transporter
Picks up a target object from its current receptacle and moves it to a specified destination receptacle. Use when you have located an object and need to relocate it to complete a task (e.g., moving a laptop to a desk). Takes the object identifier, source receptacle, and destination receptacle as inputs and outputs the action sequence to take, transport, and place the object.
zjunlp
data-ai
machine-learning
664
alfworld-search-pattern-executor
Systematically searches a sequence of likely locations for a target object based on common sense. Use when you need to find a specific object and know which receptacles to check but not which one contains it. Takes a list of candidate receptacles, orchestrates navigation and inspection, and outputs when the target is found or all locations are exhausted.
zjunlp
data-ai
machine-learning
664
alfworld-search-verifier
Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items. Use when an initial search fails to find enough objects or when double-checking is required before concluding task failure. Systematically revisits receptacles, re-opens closed containers, and re-inspects contents to ensure no viable location was missed.
zjunlp
data-ai
machine-learning
664
scienceworld-conditional-focus-executor
Executes a 'focus on OBJ' action on a specific object based on the outcome of a prior conditional evaluation. Use when you have a measurement result and task instructions specify focusing on different objects (e.g., colored boxes) depending on whether the result meets a threshold.
zjunlp
data-ai
machine-learning
664
scienceworld-material-classifier
This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails. Trigger it when experimental actions are invalid or unavailable, requiring a logical inference. It uses observed object properties and common-sense reasoning to classify the material and decide its final disposition.
zjunlp
data-ai
machine-learning
664
scienceworld-object-classifier
Moves a tested or examined object into a designated container (e.g., a specific colored box) based on a determined property. Use when you have completed a test or inspection and need to fulfill a classification or sorting subtask. It takes the object and target container as inputs and performs the move action.
zjunlp
data-ai
machine-learning
664
scienceworld-object-focuser
This skill selects and focuses on a specific object to signal task intent or prepare it for manipulation. Use when you have identified a target object that meets task criteria (e.g., a living thing) and need to formally select it before performing actions like moving or using the object in ScienceWorld tasks. The skill uses the 'focus on OBJ' action, taking the object name as input.
zjunlp
data-ai
machine-learning
664
scienceworld-object-locator
Searches for a specific target object across multiple rooms by systematically teleporting to likely locations and examining each room. Use this skill when you need to find an object whose exact location is unknown. Iterates through candidate rooms using teleport and look around, checks for the object, and continues until found, returning the object's location.
zjunlp
data-ai
machine-learning
664
scienceworld-object-selector
Use when the agent needs to choose a specific object from multiple candidates in the environment based on task criteria such as object type (non-living thing, electrical component, container), properties, or category. This skill surveys visible objects with "look around", evaluates each against the task requirements, selects the most suitable candidate, and signals intent with "focus on [OBJECT]".
zjunlp
data-ai
machine-learning
664
scienceworld-substance-cooler
This skill initiates the cooling of a substance by moving it into a cooling appliance like a freezer. Use when a task requires lowering the temperature of a specific material to observe phase changes. The skill takes the substance (often in a container) and the target appliance as inputs, using the 'move OBJ to OBJ' action. It outputs confirmation of the new location.
zjunlp
data-ai
machine-learning
664
scienceworld-target-locator
This skill determines the most likely location for a target object based on domain knowledge and environmental clues. Use when the agent needs to find a specific item (like an animal) but it is not in the current room. It analyzes the environment description and suggests a room to teleport to for further investigation.
zjunlp
data-ai
data-engineering
660
eino-compose
Eino orchestration with Graph, Chain, and Workflow. Use when a user needs to build multi-step pipelines, compose components into executable graphs, handle streaming between nodes, use branching or parallel execution, manage state with checkpoints, or understand the Runnable abstraction. Covers Graph (directed graph with cycles), Chain (linear sequential), and Workflow (DAG with field mapping).
cloudwego
data-ai
data-analysis
646
data-analysis
Comprehensive data analysis skill for CSV files using Python and pandas
vstorm-co
data-ai
data-analysis
646
diagram-design
Best practices for creating research diagrams with Excalidraw MCP tools
vstorm-co
data-ai
data-engineering
645
team-orchestrator
Agent Teams 오케스트레이션 엔진 - 팀 구성, 작업 분배, 의존성 관리, 결과 집계
sangrokjung
data-ai
machine-learning
645
continuous-learning-v2
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
sangrokjung
data-ai
machine-learning
642
ci-cd-multi-platform-matrix
CI/CD matrix strategies for multi-platform and multi-language builds
kreuzberg-dev
data-ai