搜尋

搜尋結果

2043 results for "agents"

dispatching-parallel-agents

dispatching-parallel-agents

233Ktesting-qa

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

obra avatarobra
獲取
ai-agents-architect

ai-agents-architect

46Kprompting-reasoning

Expert in designing and building autonomous AI agents. Masters tool

sickn33 avatarsickn33
獲取
anti-reversing-techniques

anti-reversing-techniques

38Kresearch-knowledge

Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.

wshobson avatarwshobson
獲取
architecture-patterns

architecture-patterns

38Ktesting-qa

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.

wshobson avatarwshobson
獲取
javascript-testing-patterns

javascript-testing-patterns

38Kfrontend

Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD workflows.

wshobson avatarwshobson
獲取
modern-javascript-patterns

modern-javascript-patterns

38Kcode-generation

Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.

wshobson avatarwshobson
獲取
deployment-pipeline-design

deployment-pipeline-design

38Kdevops-cloud

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.

wshobson avatarwshobson
獲取
evaluation-methodology

evaluation-methodology

38Kprompting-reasoning

PluginEval quality methodology — dimensions, rubrics, statistical methods, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when calibrating scoring thresholds for your marketplace, or when explaining quality badges to external partners like Neon.

wshobson avatarwshobson
獲取
python-testing-patterns

python-testing-patterns

38Ktesting-qa

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

wshobson avatarwshobson
獲取
mcp-deploy-manage-agents

mcp-deploy-manage-agents

37Kmcp-integrations

Skill converted from mcp-deploy-manage-agents.prompt.md

github avatargithub
獲取
suggest-awesome-github-copilot-agents

suggest-awesome-github-copilot-agents

37Kagent-workflows

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

github avatargithub
獲取
declarative-agents

declarative-agents

37Ktesting-qa

Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration

github avatargithub
獲取
create-agentsmd

create-agentsmd

36Ktesting-qa

Prompt for generating an AGENTS.md file for a repository

github avatargithub
獲取
google-cloud-solution-build-deploy-agents

google-cloud-solution-build-deploy-agents

19Kdevops-cloud

Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.

google avatargoogle
獲取
drawio-skill

drawio-skill

7.6Kdevops-cloud

Use when the user requests diagrams, flowcharts, architecture diagrams, ER diagrams, UML / sequence / class diagrams, SysML / MBSE diagrams (block definition, internal block, requirement, parametric), BPMN business process diagrams, swimlane / cross-functional flowcharts, network topology, cloud architecture from Terraform or Kubernetes manifests, ML/DL model figures (Transformer/CNN/LSTM), mind maps, or any visualization. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Best suited when the diagram needs custom styling, rich shape vocabulary, swimlanes, or exportable images (PNG/SVG/PDF/JPG). Generates .drawio XML and exports locally via the native draw.io desktop CLI.

agents365-ai avataragents365-ai
獲取
google-agents-cli-adk-code

google-agents-cli-adk-code

3.1Kagent-workflows

>

google avatargoogle
獲取
google-agents-cli-workflow

google-agents-cli-workflow

3.1Kresearch-knowledge

>

google avatargoogle
獲取
google-agents-cli-eval

google-agents-cli-eval

3.1Kresearch-knowledge

>

google avatargoogle
獲取
google-agents-cli-scaffold

google-agents-cli-scaffold

3.1Kdevops-cloud

>

google avatargoogle
獲取
google-agents-cli-observability

google-agents-cli-observability

3.1Kdevops-cloud

>

google avatargoogle
獲取
google-agents-cli-deploy

google-agents-cli-deploy

3.1Kdevops-cloud

>

google avatargoogle
獲取
google-agents-cli-publish

google-agents-cli-publish

3.1Kdevops-cloud

>

google avatargoogle
獲取
agents-deploy

agents-deploy

2.5Kdevops-cloud

Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management, rollback, and canary deployments. Triggers on: "deploy my agent", "agentcore deploy", "deploy failed", "CDK error", "rollback", "canary deploy", "pin version", "redeploy", "deploy stuck". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.

aws avataraws
獲取
agents-build

agents-build

2.5Kbrowser-web

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

aws avataraws
獲取