“example”的搜索结果

Provides prompt templates for coding, writing, analysis, and creative work. Helps define the AI's role, specify the desired output, add examples and constraints, and refine requests using a practical checklist.

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• Draft a prompt for code review
• Create requests for clear technical documentation
• Prepare prompts for feature and naming ideas

Set up cognee and run a first Python example that stores information and retrieves it with a question. Covers virtual environments, API key configuration, optional packages, and basic troubleshooting.

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• Installing cognee in a new Python environment
• Trying a minimal example that stores and retrieves information
• Separating stored information by project

Draft or revise technical documentation in a direct, friendly style based on Modal's documentation. Lead with the concept or benefit, place a runnable example near the top, and reduce jargon and vague promotional wording.

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• Draft a guide that starts with a runnable example
• Rewrite technical prose in a direct, friendly voice
• Standardize wording and formatting across documentation

Audits Mastra documentation against repository source and canonical writing guidance. Checks examples in context, API reference coverage, and targeted automated results, then produces an evidence-based report with findings and limitations without editing files.

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• Auditing every changed documentation page in a pull request
• Checking code examples against source and surrounding explanations
• Finding missing or incorrect API reference details

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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• Checking configuration files before a commit
• Planning credential replacement after a leak
• Keeping environment examples safe for new contributors

Build Handsontable demo pages for visual regression tests, which compare screenshots for appearance changes. It guides feature routes, URL-driven display states, sample data, and decisions about testing the same feature across framework wrappers.

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• Adding a demo route for a new feature
• Creating multiple visual states through URL parameters
• Planning visual coverage across framework wrappers

Find repeated tasks in recorded activity or starred examples, then describe their steps, exceptions, and human decisions. Assess a small automation candidate using captured evidence, available tools, permissions, and clear completion criteria.

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• Finding recurring tasks in activity records
• Reviewing starred examples for workflow patterns
• Assessing a small automation candidate

Find facts, relevant examples, and prior wording in work history to support a writing draft. Use source evidence to separate completed work from plans and opinions, verify quotations, and remove sensitive details from public drafts unless disclosure is authorized.

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• Draft a report grounded in work history
• Find concrete examples for an article
• Reuse prior wording while preserving personal voice

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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• Finding a distinctive product name
• Developing a fresh angle for a blog post
• Exploring solutions to a technical problem

Assess Web3 vulnerability findings before submission by checking scope, reproducibility, prerequisites, and attack costs. Organize the root cause, measurable impact, working proof of concept, and proposed fix into an Immunefi report, with examples for comparison.

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• Checking whether a finding is ready for submission
• Drafting an Immunefi vulnerability report
• Reviewing reproduction code and measurable impact

Maintain a collection of architecture decision record templates, examples, translations, and tool links. It explains which files to update for each contribution and how to review pull requests for completeness, consistent formatting, and relevant content.

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• Add an ADR template to the collection
• Add a worked decision record example
• Update links to ADR tools and pull request checks

Install Scenic, a language for describing scenarios with randomized conditions, into the Python environment used by CARLA. Check command-line tools and version compatibility, optionally download example scenarios and map assets, and save the installation paths.

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• Preparing Scenic to work with CARLA
• Diagnosing scenario model import failures
• Checking missing vehicle definition tables

Explore training workflows that reduce harmful model responses using a written set of principles. The skill covers self-critique, revised training examples, and RLAIF, reinforcement learning from AI feedback, with implementation examples and hardware guidance.

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• Designing principles for model safety training
• Creating training examples through self-critique and revision
• Planning reinforcement learning with AI-rated responses

Create, update, or review Bifrost feature documentation for Mintlify using MDX, a format combining Markdown and components. Research the interface and backend, validate configuration examples, and organize pages with screenshot placeholders and navigation entries.

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• Write documentation for a new Bifrost feature
• Update guides after interface or API changes
• Validate config.json examples against the schema

Write, review, and edit developer documentation for SDKs, libraries, and frameworks. Organize guides, API references, and code examples around readers’ tasks, checking technical claims against source code and official documentation while following the destination site’s conventions.

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• Writing a getting-started guide
• Reviewing API documentation and code examples
• Updating migration and troubleshooting guides

Answer Python questions and write code using examples fetched from pythonsheets.com. Find patterns for syntax, asynchronous tasks, networking, databases, machine learning, and distributed computing, or use topic-based questions to prepare for Python interviews.

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• Preparing for Python interviews
• Learning asyncio through examples
• Writing a socket server

Turn existing source code into reusable learning materials. This skill identifies architectural patterns and implementation techniques, then organizes them into a SKILL.md with structured metadata, explanatory code templates, practical examples, and validation steps.

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• Create teaching materials from reference code
• Document reusable implementation patterns
• Prepare code templates with usage examples

Convert articles, tutorials, or prompt collections into reusable agent skills, with one independent capability per skill. Package portable instructions, example prompts, working demos, preview images, and validation so the methods can transfer to other projects.

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• Convert tutorial steps into reusable agent skills
• Split a prompt collection into independent capabilities
• Package skills with example prompts and working demos

Learn programming concepts through a short definition, a minimal code example, and a practical use case. Explanations adapt to experience level, highlight common mistakes, and suggest related topics and a small practice exercise.

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• Learning React hooks from small examples
• Understanding how async/await works
• Exploring SQL joins in depth

Use concrete JSON and Markdown examples to structure Sergo tool caches, strategy histories, improvement tasks, and reports. The templates show which fields to record and how to organize findings for review.

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• Formatting a cached snapshot of available tools
• Recording analysis strategies and their results
• Structuring improvement tasks and analysis reports

Find STATA code examples for empirical accounting research from published replication files. Adapt regression, matching, event study, and table export syntax to your variables, with citations to the papers behind each example.

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• Implement fixed effects regressions in STATA
• Find published DiD and matching code examples
• Export regression results as formatted tables

Analyze logs and source from a completed repository example run. Never execute or control examples.

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Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.

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Use when a Java change needs independent Behavior-Driven Development guidance from trusted behavior facts through concrete examples and observable scenarios, with focused clarification when behavior is pending or ambiguous. This should trigger for requests such as Apply BDD; Facilitate behavior examples; Discover scenarios with Given When Then; Review these examples for shared domain language; Complete BDD discovery as a self-contained interaction. Part of Plinth Toolkit

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