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Turn API code into documentation covering endpoints, inputs, authentication, responses, and errors. Add request examples in multiple languages and usage guides to help developers understand and start using the API.
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Design autonomous agents for Claude Code plugins, including when they should run, what tools they may use, and how they should respond. Provides configuration templates, prompt guidance, and validation steps for creating agent files.
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Design and refine prompts for language model applications. Choose useful examples, create reusable templates and system instructions, and compare prompt variations using accuracy, consistency, response time, and token usage to guide improvements.
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Design and refine prompts for LLM applications by organizing roles, context, instructions, constraints, and output formats. Develop representative examples, manage the information supplied to the model, and evaluate changes to improve how consistently responses match expectations.
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Design tools that AI agents can understand and call correctly. Covers JSON Schema, a format for defining inputs, along with clear descriptions, input examples, validation, and error responses that help agents recover from failures.
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Keep TypeScript and Python SDKs consistent when shared behavior or backend APIs change. Aligns public API names, use of generated clients, and documentation examples, including updates to the fixed versions of generated clients.
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Review local code changes with git diff and update the matching pages under docs/. Keep commands, settings, examples, and navigation aligned with current behavior so readers can understand the changes without reading the code.
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Compare repository documentation with current code, tests, and settings to find missing, incorrect, or outdated guidance. Update affected pages, prioritize problems that block readers, and check examples and navigation for consistency.
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Turns recurring workflows and proven debugging solutions into reusable skill packages. It creates SKILL.md, a readable overview, and optional supporting examples from a user description or saved project memory, with checks for completeness and portability.
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Audit environment files and repository contents for possible credential leaks, then prioritize findings by severity. Plan credential replacement, improve configuration examples, and establish checks in development and delivery pipelines to reduce accidental exposure.
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Write and revise FastMCP documentation pages with consistent structure, clear explanations, and runnable code examples. Covers accessibility, link and Python checks, and the publishing steps needed to confirm changes reach the live site.
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Build cryptocurrency exchange integrations with CCXT in JavaScript, Python, or PHP. The skill helps retrieve market data, manage orders, automate trading workflows, check exchange-specific capabilities, and investigate API errors using reproducible examples and logs.
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Develop applications with the Claude API using examples from Anthropic's official cookbooks. Explore document summarization, image analysis, document retrieval, external tool calls, and prompt caching through practical Python code and implementation guidance.
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Develop and modify the Handsontable Angular wrapper with guidance on component lifecycle, settings updates, and NgZone, which controls change detection. It also covers standalone examples, global configuration, and the build and test workflow.
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Turn selected research conversations or notes into themes supported by evidence and counterexamples. Distinguish observed behavior from preferences and hypotheses, assess confidence, and suggest a small next experiment with an observable measure of success.
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Develop varied ideas for names, writing angles, and problem solving by exploring five candidates internally and presenting the strongest. It also expands small example collections into diverse datasets for evaluation, training, or testing.
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Helps design and evaluate prompts for more reliable AI responses. Covers clear instructions, input-output examples, task breakdown, and structured formats such as JSON, with guidance on comparing quality, cost, and response time across models.
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Review mathematical proofs in LaTeX for logical gaps, missing assumptions, and unjustified steps. Attempt counterexamples, develop explicit repairs, and repeat the review, producing an audit report that distinguishes completed fixes from assumptions and unresolved proof obligations.
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Check mathematical expressions, solve equations, and search bounded ranges for counterexamples using symbolic and numerical libraries. Record assumptions, commands, and results so calculations can be repeated, while keeping computational evidence distinct from general mathematical proof.
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Helps write and review mathematical proofs in natural language. It clarifies assumptions, maps dependencies between claims and lemmas, checks counterexamples and edge cases, and produces a traceable draft that identifies unresolved gaps or necessary changes to the statement.
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Build reusable Claude Skills from documentation, APIs, code, and specifications. Organize instructions and reference files, define clear activation conditions, add reproducible examples, and check new or existing skills against a delivery checklist.
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Draft internal communications using guidelines for each message type. The skill covers team updates, company newsletters, FAQ answers, and other reports, guiding the agent on format, tone, and gathering the information needed for the draft.
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Create and debug formulas for Excel and Google Sheets, including formulas that return multiple results. Get placement instructions, worked examples, checks for blanks and duplicates, and equivalent formulas when moving between platforms.
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Update documentation to match source changes on the current branch. Map changed files to existing pages, verify behavior against the code, revise affected references and examples, and report missing documentation using repository-specific mapping rules.
中文简介正在准备中。当前显示英语简介。