Loading...
Loading...
Found 1,266 Skills
Use after zanahoria-multi-assumptions has filed N parallel issue variants AND @coderabbitai has responded to all of them — closes the family by extracting the load-bearing assumption, naming a winner, capturing the decision as an ADR, and cleanly closing the rejected variants with cross-referenced reasoning. Triggers on close-the-family, pick-a-winner, commit-the-decision, decide-variants, after-CR-responds, zanahoria-decisions.
Complete Python gotchas reference. PROACTIVELY activate for: (1) Mutable default arguments, (2) Mutating lists while iterating, (3) is vs == comparison, (4) Late binding in closures, (5) Variable scope (LEGB), (6) Floating point precision, (7) Exception handling pitfalls, (8) Dict mutation during iteration, (9) Circular imports, (10) Class vs instance attributes. Provides: Problem explanations, code examples, fixes for each gotcha. Ensures bug-free Python code.
Call the cloud OpenAPI of Pudu robots, supporting operations such as robot task distribution, status query, delivery, cruise, call, and statistical data analysis. When using, first check the credentials and cluster environment variables; if missing, prompt the user to supplement them, then call the corresponding interface according to the user's intention and display the results. Trigger scenarios: Use this skill when the user mentions keywords such as "Pudu robot", "pudu", "robot task distribution", "query robot status", "delivery task", "cruise task", "call robot", "lifting task", "errand", "Flash Cabinet", "advertisement playback", "advertisement configuration", "cabinet task", "cabinet SKU", "product SKU", "hatch door photo", "traffic control zone", "map list", "statistical data", "risk avoidance", "dashboard overview", "OpenAPI".
Generate a precise LinkedIn Sales Navigator search URL from a natural-language ICP description — for sales prospecting, outbound outreach, lead generation, and B2B targeting. Use whenever the user asks for a Sales Nav URL, a LinkedIn search URL, an outbound prospecting query, a search for a persona or role, wants to find leads or prospects on LinkedIn, or describes an ICP (industry, seniority, function, headcount, geography, language). Especially trigger when the user wants to normalize job title variants (CMO + Chief Marketing Officer + VP Marketing), exclude noise (fractional, freelance, intern, assistant), or build a boolean search with AND, OR, NOT, quotes, parentheses. Covers Sales Nav enums (Industry, Function, Seniority, Headcount, Type, Years, Language, Region), boolean-capable text filters (Keywords, Current/Past job title), plain text filters (First/Last name), and toggles (Changed jobs, Posted on LinkedIn, Past colleague, Follows your company). Maintained by La Growth Machine.
Implementation workflows and decision trees for Jinja templates in ERPNext/Frappe. Use when determining HOW to implement Print Formats, Email Templates, Portal Pages, or custom Jinja methods. Covers template type selection, context variables, styling, and V16 Chrome PDF rendering. Triggers: create print format, email template, portal page, custom jinja filter, print format styling, pdf template, invoice template, report template.
Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis across 9 phases covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment (Low/Intermediate/High/Very High), treatment algorithm (1st/2nd/3rd line), pharmacogenomic guidance, clinical trial matches, and monitoring plan. Use when clinicians ask about patient risk stratification, treatment selection, prognosis prediction, or personalized therapeutic strategy across cancer, metabolic, cardiovascular, neurological, or rare diseases.
Expert in mise—a fast, flexible polyglot runtime and task manager. Specializes in tool version management, environment variable control, task automation, and shell integration across development workflows.
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants are in cancer genes, or retrieve cancer gene properties from COSMIC database.
Create factory fixture patterns for customizable test setup with variations. Use when building reusable test fixtures with multiple configurations, creating parameterizable mocks, or implementing test data builders. Works with pytest fixtures, mock objects, and test utilities. Enables DRY test setup while maintaining flexibility for edge cases.
Design System Governance Workflow for auditing, refactoring, and syncing enterprise design systems, design tokens, Figma variables, and developer handoff outputs.
Automates the release workflow for this plugin: runs `make check`, bumps the version in plugin.json and marketplace.json, creates a release/vX.Y.Z branch if needed, and commits/pushes/opens a PR. Use this skill when the user says "release", "cut a release", "bump version", "prepare a release", "make a release", "create release branch", or any variation of shipping a new version.
Design de produto nivel Apple — sistemas visuais, UX flows, acessibilidade, linguagem visual proprietaria, design tokens, prototipagem e handoff. Cobre Figma, design systems, tipografia, cor,...