⌘ K
Newest skills
3058 skills
functional-planner
Read-only PRD-to-work-item hierarchy planning. Use to turn a PRD into a validated Azure DevOps, GitHub, or Jira handoff.
experiment-design
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, use-case, UX, prototyping, and hardware experiments.
backlog-plan
Read-only backlog planning for Azure DevOps, GitHub, and Jira. Use to discover, triage, sprint-plan, or resume without mutating a tracker.
backlog-management
Shared backlog conventions for Azure DevOps, GitHub, and Jira. Use for platform resolution, autonomy tiers, sanitization guards, and story quality.
backlog-execute
Mutating backlog execution for Azure DevOps, GitHub, and Jira. Use to create one item or apply a reviewed handoff to a confirmed tracker.
adr-author
Authoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.
hve-core-installer
Decision-driven HVE-Core installer with multiple clone-based and extension install methods, environment detection, and selective component installation
vally-tests
Authors Vally conformance tests for prompts, instructions, agents, and skills, including refusals for jailbreak, prompt-injection, harmful-elicitation, TOS, CoC, and PII-extraction stimuli
pull-request
Drafts or opens a GitHub pull request, runs changed-area preflight checks, and commits validated preflight repairs. Use when a user asks to prepare, create, or update a pull request.
hve-builder
Create, improve, refactor, replace, review, or validate prompts, instructions, agents, subagents, and skills. Use for Copilot customization cleanup, extending HVE workflows with project-specific capabilities, and parent-owned correction of material review or behavior-test findings.
hve-builder-tester
Assess a frozen prompt, instruction, agent, subagent, or skill through black-box behavior testing with explicit fidelity and independent grading. Use for hve-builder candidate assessment and reassessment after corrections, or to test an existing artifact without editing it.
documentation
Canonical documentation capability for audit, drift, validate, and author modes in hve-core.
c4-architecture
Model and document existing or planned software architectures with the C4 model across System Context, Container, and Component levels plus deployment diagrams, then emit diagrams through a selected renderer. Use when an architect needs audience-appropriate software architecture documentation; use the 'architecture-diagrams' skill for infrastructure topology.
architecture-diagrams
Architecture diagram authoring for cloud infrastructure and declared data catalogs. Use when rendering Azure IaC or DS_CATALOG_V1 relationships as caller-selected ASCII or Mermaid diagrams.
vscode-playwright
VS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentation
tts-voiceover
Text-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control
powerpoint
PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling
demo-video
Assemble ordered frames or clips with narration into a narrated MP4 via FFmpeg
customer-card-render
Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline
copilot-otel-metrics
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.
caveman
Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules