全部 Agent Skills
41,263 个结果
- Code ReviewMicrosoft官方Review code changes from multiple perspectives with context bootstrap, depth-tier rigor, and structured findings output.
- Copilot Otel MetricsMicrosoft官方Set up GitHub Copilot OpenTelemetry capture: configure the VS Code export settings, generate a local Grafana stack and dashboard, or generate the Azure collector, infrastructure, and dashboard for an organization.
- Cspell ConfigMicrosoft官方Create or update project cspell configuration by resolving the loaded config, active dictionaries, curated words, ignore paths, and validation evidence. Use when spell-check configuration needs project words or ignores.
- Customer Card RenderMicrosoft官方Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline
- Data CatalogMicrosoft官方Create and enrich durable data catalogs using the native DS_CATALOG_V1 Markdown contract, declared entity relationships, privacy citation fields, and stable relationship IDs. Use when inventorying engagement data, recording semantic relationships, or preparing a catalog for ERD rendering.
- Data Science Engineering FoundationMicrosoft官方State, resume, reconstruction, job-lifecycle, transition, and flow-state mechanics for the Data Science and Engineering Coach. Loaded by the coach; not a user entry point.
- DataopsMicrosoft官方DataOps and DS/MLOps testing reference for data tiering, Bronze-to-Silver validation placement, pipeline invariants, pytest categories, and validation-versus-drift. Use when designing, reviewing, or generating data pipelines, transformation code, data validation, or data-science test suites.
- Demo SetupMicrosoft官方Repeatable HVE Core demo setup that simulates DT Coach sessions with a customer persona and scaffolds a hi-fi prototype - Brought to you by microsoft/hve-core
- Demo VideoMicrosoft官方Assemble ordered frames or clips with narration and optional synchronized scene transitions into an MP4 via FFmpeg
- DocumentationMicrosoft官方Canonical documentation capability for audit, drift, validate, and author modes in hve-core.
- Dt Coaching FoundationMicrosoft官方Design Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflow
- Dt CurriculumMicrosoft官方Design Thinking learning curriculum covering nine progressive modules across the full Problem, Solution, and Implementation Space methods plus a shared manufacturing reference scenario for teaching and practice
- Dt Figma ExportMicrosoft官方Export Design Thinking artifacts to a FigJam board or Figma Design file through the Figma MCP server. Use when a team wants collaborative visual review of Method 1, 3, 4, 5, or 6 artifacts, or accepts a DT Coach board-export offer.
- Dt MethodsMicrosoft官方Design Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)
- Dt Rpi IntegrationMicrosoft官方Design Thinking handoff knowledge for research-ready rpi-research inputs and DT-aware rpi-plan, rpi-implement, and rpi-review context
- Engagement Report Council CritiqueMicrosoft官方Run one independent Council critique against engagement-report research evidence. Use as the manual separate-session fallback when independent critic agents are unavailable.
- Engagement ReportingMicrosoft官方Creates source-grounded internal or external weekly engagement status reports with optional Outlook draft creation.
- Evaluation DesignMicrosoft官方Design evaluation datasets and supporting documentation for AI systems and agents, covering the scoping interview, difficulty distribution, dataset contract, sample review, and metric and tooling selection. Use when building or reviewing an evaluation set for a conversational agent, assistant, or retrieval-grounded AI system.
- Experiment DesignMicrosoft官方Experiment design reference for problem-class framing, Minimum Viable Experiment coaching, hypothesis formation, vetting and red flags, and experiment readiness. Use when translating a stated business outcome into candidate data-science problem classes, or when framing, vetting, scoping, or evaluating an experiment of any kind, including data feasibility, architecture, LLM, performance…
- FeasibilityMicrosoft官方Author and validate durable data and ML feasibility studies using the Feasibility Study Interchange Profile, constrained YAML authority, UUID URN identity, lifecycle lineage, and evidence traceability. Use when assessing whether available data and technical evidence support a proposed outcome.
- Functional PlannerMicrosoft官方Read-only PRD-to-work-item hierarchy planning. Use to turn a PRD into a validated Azure DevOps, GitHub, or Jira handoff.
- Gh Code ScanningMicrosoft官方Retrieves and groups GitHub code scanning alerts by rule and severity using the gh CLI
- Git CommitMicrosoft官方Stage user-selected paths, confirm the exact staged set, and create one local Conventional Commit, or generate a commit message for staged changes without committing. Use when you want a guarded commit or a ready-to-paste message.
- Git MergeMicrosoft官方Coordinate Git merge, rebase, and rebase --onto workflows with conflict resolution, optional review pauses, and a completion summary. Use when integrating a branch locally and resolving conflicts without pushing.