“bootstrap”的搜索结果

Set up a Python project with AWS CDK, a toolkit for defining cloud infrastructure in code. Follow guidance on prerequisites, AWS credentials, virtual environments, dependencies, template generation, deployment preparation, and reviewing changes before deployment.

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• Setting up a new Python project for AWS CDK
• Preparing a virtual environment and dependencies
• Generating templates and reviewing deployment changes

Build MCP servers, which expose tools and data to AI agents, with mcp-use. The material covers server functions, reusable prompts, and interactive React widgets, but this skill is deprecated and points to mcp-app-builder as its replacement.

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• Planning an MCP server's tools and data resources
• Implementing reusable prompts and response formats
• Adding interactive React widgets to an MCP server

Populate a new GBrain knowledge base by importing notes, contacts, calendars, email, and other archives in a practical order. Connect people and companies across sources, filter low-value content, and resume interrupted imports from saved progress.

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• Choosing what to import after setting up GBrain
• Importing existing Markdown notes or an Obsidian vault
• Connecting contacts with meeting and email history

Set up a task list, working memory files, and a dashboard for a productivity system. Use existing todos to clarify nicknames, acronyms, and project codenames, then organize that context into reusable people, terminology, and project notes.

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• Setting up a task and memory system for the first time
• Turning shorthand in existing todos into reference notes
• Organizing people and project context for an agent

Create or improve a company-specific data analysis skill by gathering analysts’ knowledge and examining database structures. Document business terms, metric formulas, table relationships, and common query patterns in reusable reference files.

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• Create a data analysis skill for a company
• Document metric formulas and standard exclusions
• Add knowledge about a new business domain

Turn a written app specification into a runnable starter project using the requested technology stack. Generate implemented features, tests, configuration files, and setup instructions, then check the project for common omissions.

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• Turning a requirements document into a starter project
• Creating a task API with FastAPI and SQLite
• Building a recipe-sharing website with Next.js

Build and improve Windows desktop apps with C#, WinUI 3, and the Windows App SDK. Guidance covers development setup, native interface design, implementation, troubleshooting, packaging choices, and verification through both builds and actual app launches.

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• Checking and preparing a WinUI development environment
• Creating a new Windows desktop app
• Improving navigation, themes, and adaptive layouts

Set up OpenWork for a team, from creating an organization and inviting members to sharing AI models and skills. It covers dashboard setup and terminal setup, with human ownership of accounts and shared access to provider keys.

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• Create an OpenWork organization and invite teammates
• Share AI models without distributing provider keys to members
• Create a skill and share it with a team

Set up Wren Engine through guided steps covering environment checks, installation, database connection, and project creation. Prepare data definitions and validate the setup, then suggest initial questions to help the user begin exploring their data.

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• Installing Wren Engine for the first time
• Connecting a new database to Wren
• Creating a project and preparing data definitions

Turn existing decision records, product requirements, specifications, and other documents into GSD planning files. Create a new planning setup or add requirements and phases to an existing one, while identifying conflicts and blocking writes when contradictions remain unresolved.

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• Build planning files from existing project documents
• Add documented requirements and phases to an existing plan
• Identify conflicting statements across planning documents

Set up a task list, workplace memory files, and a dashboard. Use existing todos to clarify nicknames, abbreviations, and project names, then save that context for future conversations with the agent.

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• Set up a task and workplace memory system
• Explain abbreviations and nicknames in existing todos
• Build context about colleagues and projects

Analyze an existing codebase to identify reusable design patterns in components, services, APIs, styling, and refresh scheduling. Produces structured descriptions with representative code, conventions, dependencies, and adaptation notes for reuse or later conversion into skills.

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• Understanding the structure of a large codebase
• Extracting reusable component and service designs
• Following an existing project's conventions in a new project

Plan customer acquisition as a solo founder, from choosing tools and sales channels to assigning work to AI agents. Organize priorities by revenue stage, divide time between building and selling, and assess when hiring makes sense.

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• Planning customer acquisition as a solo founder
• Dividing marketing and sales work among AI agents
• Choosing between self-service signup and sales calls

Organize research knowledge by project in Obsidian, from creating folder structures and routing notes to maintaining daily logs, plans, and indexes. It also manages note changes and coordinates checks for broken links and registry consistency.

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• Setting up an Obsidian workspace for a research project
• Organizing sources, research notes, and experiment results
• Updating daily logs, project plans, and indexes

Turn an existing .NET project into a reusable dotnet new template while preserving its settings and conventions. Create parameters and conditional content, test generated projects, and prepare the packaging files needed for NuGet distribution.

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• Turn an existing project into a reusable template
• Add template parameters and conditional files
• Validate template installation and generated builds

Set up a consistent local environment for developing ClawTeam, then validate changes with focused tests and real agent workflows. Includes scripts for connecting other projects to local skills and guidance for investigating coordination bugs.

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• Set up a consistent local development command
• Reproduce worker startup or messaging bugs
• Validate agent coordination after code changes

Save decisions, research findings, and work updates to Obsidian, then update related notes, daily entries, and task boards. Maintain existing pages, preserve changing facts with their history, and check for duplicates and broken links.

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• Save decisions and tasks from a conversation
• Connect development logs to project notes
• Check a vault for duplicates and broken links

Add a deployable service by following a structured guide for application code, infrastructure, configuration, and related integrations. It tracks applicable steps, reports local verification results, and leaves deployment and secret creation as explicit follow-up work.

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• Adding a Rust service or Kafka consumer
• Creating a Cloudflare Worker
• Adding a Pulumi infrastructure stack

Set up an Obsidian knowledge base for a research repository containing code and Markdown. It creates project links, planning notes, source inventories, and code summaries, importing structure and summaries while leaving large research artifacts out.

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• Starting a research project's knowledge base
• Bringing a code and Markdown project into Obsidian
• Creating project plans and source inventories

Organize paper notes in an Obsidian project vault and synthesize them into lasting literature summaries. It standardizes review sections, tracks collection coverage, connects papers to project knowledge, and refreshes a visual literature map through filesystem operations.

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• Standardizing existing paper notes
• Importing Zotero papers into an Obsidian vault
• Summarizing methods and research gaps

Build a reproducible Stata analysis from data cleaning through modeling, diagnostic checks, and robustness tests. Generate runnable .do files, regression tables, and figures for empirical papers, with additional workflows for epidemiology and machine learning approaches to causal inference.

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• Building a reproducible Stata analysis pipeline
• Comparing regression specifications in a paper table
• Checking causal estimates with robustness tests

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

Manage local development servers and APIs with macOS LaunchAgents, which run background processes. Keep servers running after the shell closes, restart them after crashes, inspect logs, and handle occupied ports when starting a service.

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• Keeping a local server running after closing the shell
• Restarting a server automatically after a crash
• Checking server status and logs

Create, convert, or repair one Tutti workspace app as either a self-contained publishable package under package/ or a Chrome-style local debug app under .tutti/dev-app/. Use for mention://workspace-app-factory/create handoffs, mention://workspace-app-factory handoffs, standalone app generation, adapting existing repositories, Load unpacked repair flows for invalid local project directories, tutti.app.json and tutti.cli.json manifests, bootstrap.sh scripts, package-local AGENTS.md, local HTTP runtimes, TUTTI_APP_* host/port/storage rules, healthchecks, app assets, i18n, validation, and optional Tutti CLI integration.

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