AI & ML

zjunlp Bundle

Teleports the agent to a specified room within the ScienceWorld environment. Use when the agent needs to move between different locations to locate objects or access specific facilities. The input is a target room name, and the output is the agent arriving at that room, ready for further interaction.

zjunlp Bundle

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.

coowoolf Skill

Use when joining a new company, taking over legacy products, or proposing strategies that were previously attempted to avoid repeating past mistakes

coowoolf Skill

An organizational model where a single leader is fully accountable for a specific goal and controls all cross-functional resources needed, minimizing external dependencies. Amazon's alternative to matrixed organizations.

coowoolf Skill

To replicate startup speed in large companies, launch new products as separate legal entities (C-Corps) with distinct brands, reporting directly to the CEO, bypassing standard chains of command.

coowoolf Skill

A feedback approach where the manager acts as a curious investigator rather than an authoritarian expert, using observation and questions to help direct reports self-diagnose issues. Use during 1:1s and performance reviews.

coowoolf Skill

Restructure organizations by eliminating divisions and GMs, organizing strictly by function to reduce politics and ensure experts lead experts. Use when sensing slowdown, bureaucracy, or fracturing user experience post-PMF.

anntnzrb Bundle

Use when the user asks about published DeepSWE scores, metrics, versions, or model efficiency.

anntnzrb Bundle

Use when a task needs website browsing, login, forms, clicks, scraping, screenshots, or web-app testing.

zjunlp Bundle

Use when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step. This skill performs a lightweight pre-use check via "focus on [TOOL] in inventory" and confirms readiness based on the system's response, ensuring the tool is functional before measurement, activation, or connection operations.

zjunlp Bundle

This skill constructs a simple electrical circuit by connecting components like batteries, wires, and light bulbs. Use when the agent needs to test electrical conductivity or create a functional circuit for an experiment. The input is a set of available components, and the output is a fully connected circuit ready for activation.

zjunlp Bundle

Use when the agent needs to confirm and prepare a specific inventory item before using it in an experiment or task step. This "focus on [ITEM] in inventory" action verifies the correct item has been collected and signals intent, ensuring operational readiness for subsequent actions like measurement, combination, or placement.

zjunlp Bundle

This skill chemically mixes the contents of a container using the 'mix' action. Use when all required ingredients (e.g., sodium chloride and water) are present inside a container and the agent needs to combine them to produce a new substance. The skill performs the mixing operation and outputs the resulting product, completing the synthesis step of the task.

zjunlp Skill

Places an object into a designated container (like a colored box) based on a test outcome. It should be triggered when the agent needs to finalize a task by storing an object according to a rule (e.g., conductive → blue box, non-conductive → orange box). The input is the object and the rule, and the output is the object moved to the correct container.

zjunlp Bundle

Acquires a specified object by moving it from the environment into the agent's inventory using 'pick up OBJ'. Use this skill when a task requires an object to be manipulated, tested, or transported and it is not yet in your inventory. Makes the object available for further actions like testing, measuring, or placing.

zjunlp Bundle

This skill locates and acquires a recipe or instruction document by using 'pick up' on the recipe object. Use when the task involves following a specific procedure (e.g., crafting, mixing) and the agent needs to obtain the written instructions. The skill assumes the recipe is visible in the current room and moves it to the inventory, allowing the agent to read it later to understand required ingredients and steps.

zjunlp Bundle

Use when the agent needs to locate, identify, and focus on a specific animal or biological entity in the ScienceWorld environment. This skill handles tasks involving animal comparison, examination, or interaction (such as determining lifespan extremes) by navigating to the correct location with "teleport to", surveying with "look around", and executing "focus on ANIMAL" with the exact entity name.

zjunlp Bundle

Handles picking up objects from the environment into the agent's inventory or moving them out to containers. Use this skill when you need to acquire an object for later use (pick up) or place an object into a specific container as part of a task requirement (move). Takes an object name and location as input and confirms the transfer to or from inventory.

lerianstudio Bundle

Writing or editing a Ring skill: SKILL.md structure, frontmatter and Agent-Search-Optimization rules, token-efficiency targets, and bulletproofing (Iron Law, rationalization tables, Red Flags) so discipline-enforcing skills resist excuses. Use when creating or revising a skill. Delegates pressure-testing to ring:testing-skills-with-subagents. Skip for pure reference skills with no rules, or project conventions (put those in CLAUDE.md).

anntnzrb Bundle

Use when the user asks for official LiveBench releases, categories, tasks, model scores, or published costs.

jst-well-dan Bundle

Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.

zjunlp Bundle

Use when the agent needs to measure a quantitative property (temperature, weight, pH) of a target object or substance using a measurement tool. This skill covers acquiring the tool, preparing both tool and target with focus actions, executing the measurement via "use [TOOL] on [TARGET]", and interpreting the resulting value for conditional decisions such as classification or placement.

zjunlp Bundle

This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations. It should be triggered when the task requires obtaining a liquid (like water) and the agent does not have immediate access to it. The skill involves teleporting to candidate rooms, looking around, and identifying potential sources, guiding the agent toward the nearest available liquid.

zjunlp Bundle

This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms. Use this when starting a new task in ScienceWorld to gather situational awareness, especially when the agent needs to understand its surroundings before taking action. It outputs a detailed room description, listing visible items and accessible doors.

zjunlp Bundle

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 Bundle

Use when the agent has just obtained a numerical measurement (temperature, weight, pH) and must compare it against a predefined threshold to determine a binary outcome. This skill extracts the measured value, evaluates it against the threshold condition (above/below), and executes the corresponding branch action such as classification or placement.

zjunlp Bundle

This skill retrieves a specified item from a container by using the 'pick up' action. It should be triggered when the agent has identified a needed item inside an open container (e.g., a jar, box, or hive) and must transfer it to inventory for later use. The skill handles the object transfer, assuming the container is already accessible, and outputs confirmation that the item is now in the agent's inventory.

lerianstudio Skill

Expert prompt engineering and optimization for LLMs and AI systems. Covers core patterns (zero-shot, few-shot, CoT, role-playing, constitutional, tree-of-thoughts), common use cases, and a three-phase process. Use when crafting or optimizing prompts for AI systems. Skip when the prompt is trivial or already performing well.

lerianstudio Skill

Implementing a single planned task (Task N.M.T) end-to-end: selects the right backend agent by language and service type, drives one TDD RED->GREEN turn, then verifies coverage, lint, license headers, runtime, and delivery before handoff. Runs as Gate 0 before ring:reviewing-code. Use to drive ONE task inside an already-running cycle. Skip when asked to implement a whole plan.md or multiple tasks (use ring:running-dev-cycle).

lerianstudio Skill

Generating or auditing a repository's llms.txt per the llmstxt.org spec, and creating CLAUDE.md / AGENTS.md when missing, by analyzing README, build files, docs, and API surface. Use when creating an llms.txt, auditing an existing one for spec compliance and live links, or improving a repo's AI readability. Skip when the llms.txt is current, the task is code-only with no doc scope, or the repo needs no LLM discoverability.

lerianstudio Skill

Executing a phased plan in rolling waves where each phase runs as one multi-agent workflow harness: the supervisor elaborates the phase into tasks against the real landed code, launches a workflow that implements with TDD and runs mandatory in-harness review plus an adversarial contrarian pass (and researchers when the phase hits an unknown) before returning verified work, then reviews it, checkpoints with the user, and rolls to the next phase. Use when each wave should be a reviewed multi-agent harness, not a lone subagent. Skip when one supervised subagent per wave suffices (ring:executing-plans) or the full gated cycle is wanted (ring:running-dev-cycle).

anntnzrb Skill

Use when prompts or documents must be compressed aggressively while preserving meaning for an LLM.

zjunlp Bundle

Use when the ScienceWorld environment returns an "Ambiguous request" prompt with a numbered list of identical action options. This skill resolves the disambiguation by selecting the lowest available number (typically 0) to proceed, ensuring task progression when multiple identical object instances exist and the system cannot automatically determine which instance to act upon.

lerianstudio Skill

Designing the API contract as a real OpenAPI 3.1 specification (openapi.yaml with full paths, operations, schemas, components, Lerian error envelope, and auth schemes) from the validated TRD. Gate 4 of ring:planning-large-features, Large Track only; runs after ring:writing-trds, before ring:designing-data-model. Use when a system exposes APIs that components or clients consume. Skip for Small Track, a system with no API surface, or an unvalidated TRD.

lerianstudio Skill

Applying the technical-writing voice and tone style guide: second person, present tense, active voice, short sentences, sentence-case headings, product/entity capitalization, contractions, and sparing emphasis. Use when checking voice/tone compliance, writing new docs, or reviewing docs for style. Skip when checking structure only (use ring:structuring-documentation) or technical accuracy only (use the docs-reviewer agent).

rwilson504 Bundle

Write JavaScript or Python in the n8n Code node correctly. Use when user says "write a Code node", "transform data in n8n", "use the Code node to...", "JavaScript in n8n", "Python in n8n", "$json in code node", "$input vs $json", "item linking in code node", "pairedItem", "use Luxon in n8n", "use JMESPath in n8n", "binary data in code node", "AI Code Tool", "Code Tool for agent", "external libraries in code node", "fetch in code node", or pastes Code-node JS/Python. Covers the two run modes ("Run Once for All Items" vs "Run Once for Each Item"), the canonical pairedItem-preserving pattern, $json/$input/$node/$execution semantics, binary data access via helpers, Luxon (DateTime), JMESPath, the Pyodide-based Python runtime, $getWorkflowStaticData persistence, and external library use. Do NOT use for building community node packages (use n8n-create-nodes), designing the broader workflow (use n8n-build-workflow), or debugging non-code-node failures (use n8n-debug-workflow).