SkillNet

Search, download, create, evaluate, and analyze reusable agent skills via SkillNet — the open skill supply chain for AI agents. Use when: (1) Before any multi-step task — search SkillNet for existing skills first, (2) User says "find a skill", "learn this repo/doc", "turn this into a skill", or mentions skillnet, (3) User provides a GitHub URL, PDF, DOCX, PPT, execution logs, or trajectory — create a skill from it, (4) After completing a complex task with non-obvious solutions — create a skill to preserve learnings, (5) User wants to evaluate skill quality, organize/analyze a local skill library, or orchestrate a supported scene. NOT for: single trivial operations (rename variable, fix typo), or tasks with no reusable knowledge.

This skill selects a product variant (e.g., size, quantity) from available options on a product detail page. It is triggered when a product page displays multiple choices, assessing the options (like '1.1 pound (pack of 1)' or 'pack of 2') and selecting one that aligns with user needs, often defaulting to a standard single unit if unspecified.

This skill generates effective search keywords based on parsed product criteria. It is triggered after query parsing, when the agent needs to perform an initial product search on an e-commerce platform. The skill takes structured attributes (e.g., 'women's size 5 patent-beige high heel') and produces a concise, platform-appropriate search string designed to return relevant results, balancing specificity with recall.

Executes a search on an e-commerce platform using parsed keywords. Use when you have extracted search terms from a user query and need to perform the actual search[] action on the WebShop interface. Takes structured search terms and performs a search action, returning a list of product results for evaluation.

This skill formulates an effective search query from structured product criteria. It is used when initiating a product search on an e-commerce platform, converting attributes into a concise, relevant keyword string. The input is a set of parsed criteria (e.g., 'jewelry box', '10 slots', 'easy to clean', 'price < $60'), and the output is a formatted search action string (e.g., 'search[jewelry box, 10 slots, less than $60, easy to clean]') optimized for the platform's search engine.

Navigates through paginated search results by moving to the next or previous page. Use this skill when the current page of product listings does not contain a suitable match and you need to review more options. It identifies and clicks the appropriate pagination controls (e.g., 'next >' or '< prev') to load additional result pages for evaluation.

Filters search results by evaluating product listings against specific user constraints like price, features, or ratings. Use when you are on a search results page and need to systematically identify which products meet all given criteria before selecting one for closer inspection. Takes a list of products with their details and outputs a filtered subset that meets the defined requirements.

This skill evaluates a list of search results against the target product criteria. Trigger it when a search result page is observed, to identify promising product listings. It analyzes each result's title, price, and brief description to shortlist items that best match the required attributes (like size, color, and price), outputting a prioritized list of candidate product IDs or links for further inspection.

This skill extracts key constraints and product requirements from a user's shopping query. It should be triggered when the agent receives a new shopping instruction, to identify product attributes (e.g., 'gluten free'), price limits (e.g., 'lower than 140.00 dollars'), and other specifications. The skill outputs a structured set of search criteria to guide subsequent product discovery.

Interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. Use when a new shopping instruction is received and you need to parse natural language into structured criteria (product category, desired features, price limits) before performing a search. The output is a clear set of search parameters for use in subsequent product lookup steps.

Initiates the purchase process by clicking the buy button once a product and its options have been selected and verified against requirements. Use when you are on a product detail page, all selection criteria (price, features, options) are satisfied, and the user is ready to proceed to checkout. Confirms the final price meets budget constraints before executing click[buy now].

Executes the purchase action for a confirmed suitable product on an e-commerce page. Use when a product has been verified against the user's requirements (price, attributes) and the decision is to buy. Performs a click[Buy Now] action on the purchase button to complete the transaction.

Selects the most promising product candidate from a filtered shortlist for detailed inspection. Use when you are on a search results page with multiple viable items and need to make a final selection based on a heuristic such as best feature match or lowest price. Triggers navigation to the selected product's detail page via click[product_id].

Performs an initial product search using a web interface by generating appropriate search keywords based on interpreted query criteria. Use when starting a product discovery task, when returning to search results after rejecting a product, or when the observation contains a search interface prompt. The skill inputs structured search parameters and outputs a list of candidate products from the search results page.

Evaluates product listings against user requirements such as price limits and feature matches to identify viable options. Use when you are on a search results page containing multiple products and need to select the most promising candidate for detailed inspection. The skill analyzes product titles, prices, and brief descriptions to rank and choose the best match.

Navigates to and interacts with a specific product's detail page. This skill is triggered after a candidate product ID is selected from search results. It performs the click action to load the product page and then identifies available interactive elements (like flavor or size selectors) that need to be configured to match the user's requirements.

This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity. It is used after clicking on a product, to confirm that the item matches the user's needs (e.g., checking for '10 slots' option, price, material). The input is the product page observation, and the output is an action to select a required variant (e.g., click[10 slots]) or proceed if criteria are satisfied.

Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews. Use when you have navigated to a product detail page from search results and need to confirm the product meets all user-specified constraints before purchasing. It provides a final suitability assessment with a clear proceed-or-reject recommendation.

This skill scans product listings or detail pages to verify if an item's price meets a specified budget constraint. It is triggered when evaluating a potential product for purchase. It extracts the price from the displayed information (e.g., '$164.95') and compares it against the maximum allowed budget, outputting a boolean decision on whether the item is within budget.

This skill selects product options or variants (such as size, color, or quantity) on a product detail page based on user preferences or cost optimization. It should be triggered when a product page displays configurable options. The skill evaluates available choices (e.g., 1pcs vs 2pcs) and selects the one that best aligns with the user's constraints, such as minimizing cost.

Performs the first search on an e-commerce platform using keywords derived from parsed user requirements. Use when starting product discovery from a user instruction or when previous search results are insufficient and a new query is needed. It formulates a search query from the criteria (e.g., '24 pack of 7.5 ounce bottles of non-gmo classic tonic') and executes the search[] action, returning the initial result page.

Verifies product attributes on a web shop detail page by extracting price, comparing color availability, validating specifications, and confirming option selections against user requirements before purchase. Use when you need to check if a product matches requirements, verify product details before buying, confirm item specifications on an online store product page, or validate that price, color, size, or other attributes satisfy the user's constraints. Outputs a `Thought:` assessment followed by a `click[value]` action to select the matching option and proceed, or navigates back to search if the product does not match.

Selects specific product attributes (e.g., flavor, size) on a product detail page to match user requirements. Triggered when a product page presents configurable options and the parsed query specifies needed values. It identifies the correct option from available clickables (e.g., 'smoked bacon' for flavor, '4 ounce (pack of 2)' for size) and executes the selection click.

This skill executes a specific interface action, such as clicking a button or selecting an option, within a web shopping environment. It should be triggered when a decision has been made (e.g., to choose a color or proceed to purchase). The input is the target action identifier (e.g., 'white' or 'buy now'), and the output is the corresponding formatted action command (e.g., click[white]).

Focuses on a specific target object to signal task completion. Use when you have produced the required final object (like a grown banana) and need to formally complete the assigned task. This handles the 'focus on OBJ' action that typically marks successful task execution in the environment.