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Design REST and GraphQL APIs by clarifying who will use them and how. Define data structures, errors, authentication, pagination, and versioning, then review examples to make the interface consistent and easier to use.
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Turn system structures, processes, and concepts into dark-themed diagrams. Create architecture diagrams, flowcharts, timelines, and other visual explanations as scalable SVG files, with PNG versions for use as images.
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Review BigQuery capacity, table layouts, storage retention, and SQL to improve cost efficiency. Compare billing options, plan partitioned tables, and evaluate search indexes, stored aggregation results, and BI Engine for suitable workloads.
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Design consistent API specifications with OpenAPI 3.0 and 3.1. Define requests, responses, authentication, and reusable data structures, then guide specification checks, documentation, and generation of client libraries or starter server code.
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Turn requirements into Mermaid diagrams, including process flows, system structures, and timelines. Save editable diagram code, a Markdown version, and a PNG preview, then check syntax, arrow directions, labels, and readability.
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Writes, reviews, and debugs property-based tests, which generate inputs to check general rules. Helps test conversions, parsers, normalization, and state invariants, assess whether existing assertions are meaningful, and distinguish faulty rules from implementation bugs.
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Build and maintain business data in iPollo Onto using connected tables and documents. The skill guides agents through creating structures, saving research in batches, updating existing records, and examining relationships with supporting evidence.
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Explore an early software idea through an interview, clarify the problem, and decide whether to proceed. Produce a design document covering decisions, flows, data structures, and interface agreements so others can plan the work.
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Turn mathematical modeling reports into DrawIO diagrams showing solution steps, model structures, and data processing flows. Produce editable source files, export PDFs for papers when DrawIO is available, and record diagram choices and export results.
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Create the starting files for a new agent skill, including SKILL.md, metadata, and optional folders. It guides descriptions that help agents select the skill, actionable workflows, ownership entries, and validation checks.
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Restructure existing web pages so AI assistants can extract and cite answers accurately. Get rewritten sections, comparison tables, FAQs, and JSON-LD structured data, a machine-readable description of page content, while preserving readability.
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Create an interactive HTML implementation plan that connects proposed behavior to mockups, code, and data structures. Readers can explore details, choose options, edit schemas, and return comments before development starts.
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Create short films entirely in code, using styles such as oil painting or Ukiyo-e. The skill guides style selection and production, including science and product explainers built from real source materials.
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Use RDKit in Python to read molecular structures, calculate properties such as molecular weight, find similar compounds or specific structural features, and generate molecular drawings and 3D coordinates for chemistry research.
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Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis, or disorder assessment. Do not use if the user only has a protein name, gene name, or amino acid sequence — ask for a UniProt ID first.
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Authors and edits AWS Step Functions state machines: writes Amazon States Language (ASL) in JSONata, and chooses and structures state types (Task, Choice, Map, Parallel, Pass, Wait, Succeed, Fail). Covers ASL syntax, JSONata data transformation and variables, Retry/Catch error handling, service integrations (.sync, waitForTaskToken callbacks), Distributed Map for large-scale S3/CSV processing, saga/compensation patterns, Standard vs Express workflow choice, TestState API unit testing, and migrating state machines from JSONPath to JSONata. Use when the user is building, authoring, debugging, or migrating a Step Functions state machine or ASL definition, or orchestrating multi-step workflows with branching, retries, or human-approval callbacks, even if they don't say 'Step Functions.' Do NOT use for general Lambda function code, API Gateway, EventBridge wiring, or SAM/CDK application packaging.
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Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures
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Reconstruct data structures by analyzing memory access patterns across functions
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Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
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Provide implementations of advanced data structures
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Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.
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Standardizes molecular structures using the ChEMBL structure pipeline for normalization and parent selection plus RDKit rdMolStandardize for explicit custom steps such as tautomer canonicalization, salt/solvent stripping, charge handling, stereochemistry handling, mixture selection, and isotope normalization. Explicitly compares ChEMBL, canSARchem, RDKit, and PubChem standardization choices. Use when preparing libraries for QSAR training, joining datasets across sources, deduplicating compound collections, or building canonical compound registries.
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Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients.
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AFA design, scope-to-fee matching, negotiation preparation, health check, and scope dispute assessment for in-house legal ops teams managing outside counsel arrangements. Design fee structures (fixed, capped, collar, blended, phased, success). Assess whether scope supports a proposed AFA. Prepare commercial positions for fee negotiations. Review existing AFAs against delivery data. Assess OOS claims and build dispute response. Trigger on: 'structure the fee', 'move off hourly', 'design an AFA', 'does scope support a fixed fee?', 'negotiate the fee', 'renegotiate the arrangement', 'is our AFA holding?', 'fee health check', 'cap is being approached', 'firm is claiming OOS', 'is this in scope?', 'is this OOS?', 'AI should reduce the cost', 'blended rate vs fixed', 'collar arrangement', 'phased fees'.
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