GitHub
efficiency-tracker
Tracks workflow status and generates a flow report.
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business sales marketing AI Skills
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GitHub
moonshot-classify-task
Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.
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GitHub
linear-plan
Linear 이슈에 대한 작업 계획을 수립하고 sub-task를 생성합니다. "이슈 계획", "작업 분할", "sub-task 생성" 요청 시 사용
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GitHub
workstream-coordinator
Expert workstream coordinator managing multiple concurrent tasks, tracking progress, detecting conflicts and stalls, analyzing dependencies, and ensuring smooth parallel execution. Activates when coordinating w...
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GitHub
roadmap-strategist
Expert strategist managing project roadmaps, goals, milestones, and strategic direction. Tracks goal progress, ensures alignment, and provides strategic recommendations. Activates when planning roadmaps, settin...
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GitHub
backlog-curator
Expert backlog manager that prioritizes work using multi-criteria scoring, analyzes dependencies, and recommends optimal next tasks. Activates when managing backlogs, prioritizing work, adding items, or analyzi...
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GitHub
performance-ux
Optimize performance and UX with responsive layouts, accessible typography, and persistent dark mode.
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GitHub
feature-specification
Produces a structured, experience-first feature specification following a docs-first approach. Use when defining or refining a single product feature's lifecycle and outcomes.
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GitHub
ambiguity-detection
Detects critical product, scope, data, risk, and success ambiguities in requirements or PRDs and expresses them as structured, decision-forcing clarification questions without proposing solutions or workflow ac...
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GitHub
prd-authoring
Generates a research-grade Product Requirements Document (PRD) defining problems, goals, scope, constraints, and success criteria. Use when creating or updating a PRD for a product or major initiative.
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GitHub
frontend
Frontend UI/UX Engineer for interface design and implementation. Use when: creating UI components, styling, animations, responsive design, or UI review. 前端/UI 专家，设计师型开发者，关注间距、色彩、微交互。
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GitHub
sdlc-research
Use when researching how to implement a feature, analyzing codebase patterns, investigating existing implementations, exploring dependencies, or finding relevant code for a user story.
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GitHub
sdlc-planning
Use when creating implementation plans, breaking down tasks, sequencing changes, planning TDD cycles, or creating a roadmap for implementing a user story.
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GitHub
prompt-versioning
Comprehensive guide to versioning, testing, and managing prompts for AI agents including A/B testing, rollback strategies, and prompt registries
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GitHub
stakeholder-communication
Effective communication strategies for incidents across all stakeholder groups
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GitHub
data-lineage
Mapping the flow of data from source to destination for transparency, impact analysis, and troubleshooting.
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GitHub
onboarding-flows
Comprehensive guide to designing and writing effective user onboarding experiences that drive activation and retention
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GitHub
data-freshness-and-latency
Monitoring and optimizing how quickly data flows through pipelines and ensuring it meets timeliness requirements.
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GitHub
vendor-onboarding
Comprehensive guide to enterprise vendor onboarding processes, timelines, requirements, and strategies for accelerating customer acquisition
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GitHub
task-decomposition-strategy
Systematic approach for breaking down complex, high-level requests into atomic, executable steps to ensure precision and prevent overwhelm.
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GitHub
validation-metrics
Comprehensive guide to choosing and tracking validation metrics that prove product-market fit and drive actionable insights
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GitHub
hypothesis-writing
Comprehensive guide to writing testable product hypotheses that drive learning and prevent building the wrong things
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GitHub
escalation-and-ownership
Defining clear ownership models and escalation procedures to ensure incidents are handled by the right people at the right time.
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GitHub
data-quality-monitoring
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.