'outcome' 검색 결과

Design and deploy a two-outcome prediction market whose result is determined from public web evidence. The skill guides an agent through setting rules and sources, checking the deployed contract, triggering resolution, and monitoring the final outcome.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a Yes/No market for a sports result
• Define a weather market with clear evidence sources
• Verify deployment and monitor the final outcome

Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Transform an output-focused roadmap (feature list) into an outcome-focused one. Rewrites initiatives as outcome statements reflecting user and business impact. Use when a roadmap lists features instead of results, when making a roadmap more strategic, or when communicating what success looks like vs what will be built.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects when a stated outcome names a specific instance — a mechanism-as-means or a single named product — where a category was meant, and returns a neutral fork for the lead to show the user, or nothing. Invoked by launch commands at outcome capture, in place of the verbatim echo.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configuring or troubleshooting the Nonprofit Success Pack Program Management Module (PMM) - program delivery, cohort setup, service scheduling, service delivery recording, and attendance tracking for beneficiaries. Trigger keywords: program management module, PMM, Program__c, ProgramEngagement__c, ServiceDelivery__c, cohort setup, bulk service delivery, service schedule, service participant. NOT for designing which outcomes and indicators to measure - use admin/program-outcome-tracking-design. NOT for NPSP donor, household and giving-rollup data - use data/nonprofit-data-architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add or extend Paperclip end-to-end evaluations that exercise real browser workflows across the server, database, and runner. Define expected outcomes, check independent evidence, and connect results to the existing reporting pipeline for local or Daytona execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an evaluation for a complete user workflow
• Updating test data and outcome checks
• Including screenshots and artifacts in evaluation reports

Create an HTML presentation for a graduation design project about transit hub wayfinding. Organize the brief, process, evidence, and outcome into a pastel sticky-note design that helps faculty and reviewers assess the contribution and limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a graduation project defense
• Explaining the process behind a wayfinding design
• Organizing project evidence and limitations

Turn marketing plans, launches, and campaigns into magazine-style HTML slides that connect brand activity to growth and sales opportunities. The skill develops the narrative, slide content, and visual direction for presentations supporting launch or budget decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Presenting an annual marketing plan for approval
• Explaining a new product launch plan
• Connecting campaign budgets to growth goals

Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing weekly agent spending and completed work
• Comparing costs per completed outcome
• Investigating the cost of loops and rework

Implement agents that use recorded task outcomes to choose future approaches. ReasoningBank supports matching past patterns, comparing strategies, retaining experience in AgentDB, and tracking how strategy success and learning change over time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose task strategies using past outcomes
• Compare approaches to code review or bug fixing
• Match current situations to learned patterns

Update app data, files, or service records by confirming the target, changing only what was requested, and reading the result back. Check that unrelated values remain intact and that external actions have an observable outcome.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Updating selected fields in an app record
• Checking the outcome of a file move or deletion
• Verifying the status of a send or scheduling action

Choose an agent and model tier using the task description and learned patterns. The skill can explain its recommendation, use compiler-based edits for supported simple changes, and record task outcomes to inform future routing decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose an agent and model before starting a task
• Review the reasoning behind a routing recommendation
• Apply supported code changes through the TypeScript compiler

Build agents that record task outcomes and use past experience to choose future approaches. Implement pattern matching, strategy comparisons, persistent learning records, and metrics for checking how recommendations and results change over time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an agent that learns from task outcomes
• Compare approaches to code review or bug fixing
• Find learned patterns relevant to the current situation

Clarify unresolved product decisions before implementation, such as scope, supported platforms, or API agreements. Use a small set of focused questions to establish the intended outcome, while leaving routine technical choices to the agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarify an unresolved product scope
• Confirm which platforms a product should support
• Resolve open decisions about data or API agreements

Design rewards for reinforcement learning, where feedback guides model behavior. Choose how to score outcomes and intermediate actions, check for scoring loopholes, and use independent tests to detect incomplete work presented as finished.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing rewards for reinforcement learning
• Investigating scoring loopholes and early completion
• Choosing outcome rewards or intermediate feedback

Retrieve public evidence and linked publications for a supported genetic variant, or look up gene–disease relationships. Preserve sources, conflicting assertions, and explicit search outcomes so qualified professionals can review the findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review public evidence for a single genetic variant
• Find publications linked to a resolved variant
• Look up gene–disease relationships

Save facts, decisions, preferences, and task outcomes to Hindsight long-term memory. The skill turns what was learned into short notes with context and reasons, choosing either a Bot’s own memory store or a shared store.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving a completed task’s outcome and reasoning
• Remembering a user’s stated preferences
• Recording decisions for future work

Apply a firm's customer verification and anti-money-laundering rules to structured onboarding records. Produce risk ratings, rule-by-rule findings, missing-document lists, and review routing with supporting evidence, while leaving approval to human reviewers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rating onboarding risk under firm rules
• Checking for missing or expired documents
• Recording evidence for each rule outcome

Summarizes the current Claude Code conversation into an evidence-backed map of goals, changes in direction, completed outcomes, current work, and open decisions. Use it to regain context after interruptions, session switching, or conversation compaction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Regaining context after switching sessions
• Reviewing progress after conversation compaction
• Identifying decisions that still need user input

Guide test design for SGLang's scripted runtime by deciding when a test harness API adds real value. Favor direct reads, meaningful outcome checks, and the engine's actual execution loop over unnecessary wrappers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Decide whether a test harness needs a new API
• Review wrappers around directly accessible test state
• Test timeout behavior through the real engine loop

Compare education and career choices using frameworks drawn from 张雪峰’s public statements. The skill considers family finances, academic results, employment rates, and median salaries to work backward from typical graduate outcomes toward practical options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing majors through typical graduate outcomes
• Choosing schools with family finances in mind
• Evaluating postgraduate study against employment options

Stop an active OMX workflow after identifying its session and related modes. Perform the required cleanup, preserve resumable state where specified, and report the outcome, including any cleanup failures or reasons for refusing to proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Stop an active OMX workflow
• Cancel Autopilot while preserving resumable state
• Shut down a selected Team runtime

Assess customer account health using evidence about relationships, engagement, commercial status, support, and delivered value. Prepare a quarterly business review with documented outcomes, open commitments, suggested attendees, and an agenda for the next phase.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check customer relationship health and renewal risks
• Prepare outcomes and an agenda for a quarterly business review
• Compare meeting and email activity across periods

Turn a vague request into a goal with one outcome, verifiable completion checks, boundaries, a stopping agreement, and instructions for blockers. It drafts the objective for review without starting the work described.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a vague intention into a verifiable goal
• Tightening the completion checks of an existing goal
• Defining boundaries and a stopping agreement