Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guided, conversational walkthrough that explains code, UI, UX, features, or .copilot-tracking artifacts with navigable evidence links, a deep review before explaining, and a reconciled decisions-and-changes ledger. Use when the user wants to understand how something works or why it was changed.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use references/walkthrough.md for the full walkthrough protocol, segment loop, reference-table format, decisions-and-changes ledger format, and deep review.
Follow the shared conventions in copilot-tracking.instructions.md.
Walk the user through a target one segment at a time, explaining what each line or block does and why with navigable evidence links. Keep target refinement, detail, pacing, current position, and follow-up depth in the conversation. Capture a material user decision or requested change in a narrow ledger only when one occurs, then reconcile it with the user without editing source by default.
A target is source code, UI or UX wiring, a library or feature, a prompt-engineering artifact such as a prompt, instructions, agent, or skill, or a .copilot-tracking artifact such as a research, plan, changes, review, or log document.
When a ledger is needed, derive {{task_slug}} in lower-kebab-case from the primary target's main subject, such as the primary file's base name without its extension or the feature or area name. Use the current date in YYYY-MM-DD and create .copilot-tracking/walkthroughs/{{YYYY-MM-DD}}/{{task_slug}}-decisions.md from templates/walkthrough.md.
detail to normal. When chat context is enabled, incorporate it to refine scope. If no target can be formed, stop and ask; if multiple unrelated targets match, ask the user to choose one. When prior conversation context is unavailable, ask the user for the target and desired starting point instead of reconstructing progress from a ledger..copilot-tracking artifact with the available search and read tools; a subagent is optional for a large trace, runs only when a dispatch tool is available and the user's direction allows it, and returns a set of leads to confirm, as described in the reference. Run that subagent on Claude Haiku 5.5 (copilot) at max reasoning effort, passed as dispatch parameters when the tool accepts them, unless the user names another model. If a subagent dispatch fails because its model does not support the subagent's reasoning effort, retry it once with reasoning_effort set to medium. When the explanation depends on an external library, framework, or standard, activate rpi-research with the walkthrough topic, purpose, audience, questions, evidence criteria, scope, constraints, supplied evidence, requested outputs, and analysis output mode. Read its primary artifact before explaining and scale the review depth to detail. Keep review results in the active conversation.vscode_askQuestions, and before yielding control: the segment header, any useful diagrams, inline links, and reference table appear first, and one or two questions come last in that same turn.target=...: the files, feature, UI or UX area, library, or .copilot-tracking artifact to walk through; infer from attached or open files when not provided.detail={brief|normal|deep}: technical depth of the explanation; default normal; the user can change it mid-session.subagents={auto|none}: auto uses a subagent for a large trace when a dispatch tool is available; none, or other user direction on subagent use, is honored.chat: incorporate conversation context to refine scope before the walkthrough begins.task_slug: lower-kebab-case from the primary target; use it with the current date in YYYY-MM-DD only when creating the dated decisions-and-changes ledger.### Segment 1: ... before any narrative explanation..copilot-tracking/ references out of production code, code comments, documentation strings, and commit messages./rpi-research, /rpi-plan, /rpi-implement, or /rpi-review command only for a ledger entry handed off to RPI work or still requiring downstream work. Do not invoke it. Otherwise state the explicit no-handoff reason./compact only when stale tool output, superseded reasoning, or completed-segment detail outweighs useful current context and the target and any ledger are current. When advising it, name the state and artifact pointers to retain. Otherwise omit compaction guidance.| [actual/workspace-relative/path.ext](actual/workspace-relative/path.ext) | Short description |, using that artifact's actual workspace-relative path as both link text and destination; include a ledger row only when a ledger exists, omit unavailable files, and render the table immediately before the final ## Next Steps section.## Next Steps: state the exact eligible user command, active-parent action, blocker-clearing action, or that no user action is required. When compaction is warranted, tell the user to run /compact before the next RPI command.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build, refresh, report, or probe an accessibility coverage matrix across criteria, surfaces, and evidence methods. Use when assessing coverage with the accessibility runtime harness and generated evidence bundle.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Authoring conventions for exploratory data analysis notebooks and analytical dashboards, covering section sequence, visualization selection, scale thresholds, caching and state, and dashboard validation budgets. Use when composing or reviewing an EDA notebook, an analytical dashboard, or a dashboard test pass.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a durable Architecture Review Record from a confirmed System Architecture Reviewer scope, evidence, pillar analysis, trade-offs, and dispositions
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.