'roles' 검색 결과

Open the hosted context-mode Insight dashboard in your default browser to access analytics for AI-assisted engineering teams, including productive rates per engineer, retry waste, blockers, and views tailored to different roles.

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• Opening the team's development analytics dashboard
• Reviewing productive rates and retry waste per engineer
• Checking blockers and views tailored to team roles

Maps people involved in a deal or account using CRM records, communications, or supplied files. Shows roles, engagement, and stance with evidence, identifies missing decision makers and dependence on one contact, and suggests paths to new relationships.

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• Identify decision makers and influencers in a deal
• Check whether a deal depends on a single contact
• Find introduction paths to people you have not reached

Plan team structure and hiring by defining needed roles, headcount, timing, and costs. Produce text-based org charts and prioritized hiring roadmaps, and identify structural risks such as excessive management overhead or dependence on one person.

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• Plan required roles, headcount, and hiring dates
• Review reporting lines and team boundaries
• Set priorities and sequence upcoming hires

Create or improve AI prompts through a guided conversation about goals, roles, examples, and output formats. Receive a complete, reusable prompt with an explanation of its design, including behavioral boundaries for public-facing AI roles when needed.

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• Improving an existing AI prompt
• Designing prompts for product naming
• Defining boundaries for a customer service bot

Evaluate a strategic choice through multiple executive roles, each forming an independent view before discussion. Produce a board memo with recommendations, votes, dissent, risks, and success or stop conditions for the founder's decision.

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• Reviewing a pricing change across business functions
• Comparing fundraising with spending cuts
• Gathering independent views from executive roles

Send a founder’s strategic question to the appropriate executive advisor by matching its wording and intent. Questions spanning several roles go to a boardroom discussion, while unclear questions receive an intake to clarify the issue.

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• Finding the right advisor for a business question
• Framing fundraising decisions across multiple roles
• Routing sales or customer retention concerns

Design marketing strategy for a growing company, from brand positioning to customer acquisition models. Compare channel budgets and growth scenarios, assess acquisition costs, and plan team roles and hiring around business goals.

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• Clarifying brand positioning against competitors
• Choosing a customer acquisition model
• Allocating marketing budgets across channels

Turn user stories and acceptance criteria into detailed test scenarios. Define objectives, starting conditions, user roles, actions, and observable results, including invalid inputs and boundary cases, so a quality assurance team can carry out the checks.

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• Writing test cases from user stories
• Preparing acceptance test scenarios
• Checking invalid inputs and boundary cases

Investigate Google Cloud access denials and choose a resolution path based on the caller’s permissions. Supports temporary access activation, structured escalation tickets, policy analysis, and administrator selection of roles that grant only the permissions needed.

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• Investigating Google Cloud access denials
• Activating temporary access for development
• Preparing access issue tickets for administrators

Check Google Cloud IAM allow policy changes against the last 90 days of access logs. The skill identifies access that could be lost and applies changes only after a successful simulation and user approval.

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• Checking access impact before removing a role
• Reviewing allow policy changes across resource scopes
• Applying policy changes after simulation and approval

Audits Google Cloud Filestore instances for missing or outdated backups, overly broad file share access, and zone isolation requirements. Produces a health scorecard, prioritized findings, an instance inventory, and proposed backup remediation.

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• Finding file shares without recent backups
• Auditing NFS access ranges and root privileges
• Checking physical zone isolation and separation

Diagnose why GKE Pods cannot authenticate to Google Cloud APIs. Inspect cluster settings, service account bindings, resource permissions, and metadata server health, then provide evidence and concrete fixes for a human to apply.

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• Investigate Pod authentication failures and 403 errors
• Check Kubernetes service account identity bindings
• Diagnose metadata server connectivity problems

Give subagents or short sessions a compact set of working rules for checking evidence, changing unsuccessful approaches, and verifying results. It also defines agent roles and uses stern corporate-style commentary to push execution forward.

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• Giving subagents a shared set of execution rules
• Adding evidence checks to short working sessions
• Changing approach after repeated failures

Manage agents on a host by listing their capabilities, reading source code, and downloading or deploying agents in the smith namespace. Check available language model connections and their roles without exposing API keys.

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• Find available agents and check their capabilities
• Study existing agent source code
• Download and deploy smith agents for editing

Build and review interface color systems with palettes, format conversions, and semantic tokens that name colors by purpose. Measure foreground and background contrast, and identify inconsistent themes, misused color roles, and colors outside the supported range.

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• Build palettes around interface roles
• Organize color tokens by purpose
• Measure text and background contrast

Define reusable OpenRig agent setups, roles, and workflows in specification files. Review dependencies that prevent use on another host, distinguish specifications from bundles and extensions, and verify both file structure and actual execution.

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• Defining reusable agent roles and workflows
• Reviewing specifications for use on another host
• Testing specifications in a clean OpenRig environment

Change a running OpenRig setup by adding or removing agent seats, connecting existing sessions, or attaching terminals. Guides checks for roles, startup context, permissions, and session identity so the setup reflects each change correctly.

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• Add agent seats to a running rig
• Remove seats and clean up remaining references
• Connect an existing session to an OpenRig node

Find the Ouroboros command for clarifying requirements, running work, checking results, or managing sessions. This reference explains command purposes, agent roles, natural language triggers in Claude Code, and the tools each operation requires.

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• Finding a command for a task
• Checking which commands require MCP
• Looking up natural language triggers in Claude Code

Create and refine YAML prompts for AI assistants using structured roles, requirements, and output instructions. Organize reusable templates with variable placeholders, and check indentation, braces, headings, and formatting for consistency.

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• Creating system prompts for AI assistants
• Building prompt templates with replaceable variables
• Reviewing YAML prompt syntax and formatting

Helps a QwenPaw Worker choose between direct work, short parallel checks, and temporary agents with custom roles. It guides dependent task execution, shared files, progress updates, result merging, and removal of temporary agents after the work ends.

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• Choosing how to split work within one Worker
• Running parallel reviews with specialized roles
• Executing tasks with dependencies

Clarify responsibilities in a TeamHarness team, including planning, task execution, result acceptance, and runtime administration. Use the role boundaries to identify who owns each action and how participants should handle sensitive information.

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• Assigning responsibilities across team roles
• Checking ownership of task review and acceptance
• Defining work boundaries for remote members

Set up TeamAI for a new team or join an existing one. The skill guides installation checks, shared resource management, member and role administration, and removal, with diagnostic checks to verify setup.

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• Create a shared AI environment for a new team
• Join an existing team
• Manage members, roles, and shared settings

Set up an AI agent team by proposing roles and names for a project, then creating shared team files after confirmation. Initialize member context, decision records, and logs so the team starts with a common project background.

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• Set up an AI team for a new project
• Review team roles before creating files
• Give agents shared project context

Set up a Squad agent team in a repository that has no team yet. Propose roles and persistent names, obtain user confirmation, then create team files, shared context, built-in member policies, and merge settings for accumulated records.

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• Creating a Squad team in a new repository
• Choosing agent roles for a project’s technology stack
• Giving new agents shared project context