Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.
日本語の概要は準備中です。原文の説明を表示しています。
Extract knowledge, guidelines, and ADRs from one or more completed spec directories into the project documentation system.
日本語の概要は準備中です。原文の説明を表示しています。
Search LCSC Electronics for electronic components — find parts by LCSC number (Cxxxxx) or MPN, check stock/pricing, download datasheets, analyze specifications. Sister company to JLCPCB, same parts library. Sync and maintain a local datasheets directory for a KiCad project. No API key needed — uses the free jlcsearch community API. Use this skill when the user mentions LCSC, JLCPCB parts library, JLCPCB assembly parts, production sourcing, Cxxxxx part numbers, needs to find LCSC equivalents for parts, is preparing a BOM for JLCPCB assembly, or wants to download datasheets and LCSC is available. For package cross-reference tables and BOM workflow, see the `bom` skill.
日本語の概要は準備中です。原文の説明を表示しています。
Install, configure, and work with Turso DB — an in-process SQLite-compatible relational database engine written in Rust. Use when the user needs to (1) install Turso DB, (2) create or query databases with the tursodb CLI shell, (3) use Turso from JavaScript/Node.js via @tursodatabase/database, (4) work with vector search or embeddings in Turso, (5) set up full-text search with FTS indexes, (6) configure transactions including MVCC concurrent transactions, (7) enable encryption at rest, or (8) use Change Data Capture (CDC) for audit logging.
日本語の概要は準備中です。原文の説明を表示しています。
Audit public sector and government resource allocation systems for budget optimization algorithms (zero-based, incremental, performance-based), service demand forecasting (ARIMA, Prophet, regression), equity-based distribution scoring (CDC SVI, environmental justice indices.
日本語の概要は準備中です。原文の説明を表示しています。
Audit a student information system for dropout risk prediction. Analyzes attendance patterns, grade trajectories, behavioral indicators, early warning model accuracy, intervention tracking, equity in risk scoring, and socioeconomic factor integration..
日本語の概要は準備中です。原文の説明を表示しています。
Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
日本語の概要は準備中です。原文の説明を表示しています。
Draft professional emails (MoM, status updates, decisions, stakeholder communication) and save as a draft in your email provider. Use this skill after a meeting, decision, spec update, or any event that needs email communication. Trigger phrases: "send MoM email", "draft meeting minutes email", "MoM email for [meeting]", "create MoM draft", "email the meeting notes", "draft MoM", "draft email", "send update email", "draft email for [topic]". Reads context from meetings, specs, tickets, and conversation. Looks up attendee emails from a local team directory, formats as HTML email, and pushes to the email provider as a draft (never sends).
日本語の概要は準備中です。原文の説明を表示しています。
Check for and install hindsight-skills updates. Detects new versions, offers upgrade options, and shows what changed.
日本語の概要は準備中です。原文の説明を表示しています。
Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when investigating, adding, validating, or debugging external website profiles for the 99idea Playwright browser demo. It teaches how to probe selectors, classify failure modes, add config-driven profiles, and validate both heuristic and Gemini flows.
日本語の概要は準備中です。原文の説明を表示しています。
**WORKFLOW SKILL** — Create complete, well-structured Copilot skills from scratch. USE FOR: scaffolding new SKILL.md files, writing effective agent instructions, configuring frontmatter fields, setting up directory structure (references, FEEDBACK.md), optimizing description for discoverability, applying progressive disclosure. DO NOT USE FOR: managing/syncing existing skills (use skill-manager-guide), general coding, VS Code extension development.
日本語の概要は準備中です。原文の説明を表示しています。
Explicit-only last resort. Draws game art from code, with no image model - pixel sprites from a PixelSpec, flat vector props, UI and icons from portable SVG, rigged characters with planted feet, FX with a JS runtime, seam-proven autotiles, playable top-down layouts with collision, stylized parallax and ambient plate motion - palette-exact, with QA and review sheets. Use only when the user explicitly asks for code-drawn art, or when generate2dmedia route_media.py finds no image or video route (no-route, exit 3). Never the default - image generation (generate2dsprite, generate2dmap, video2dsprite) comes first for characters, props, maps and FX. Not for painterly, detailed or likeness art, HD-2D plates or realistic fire, smoke or water. Always disclose the result as code-drawn.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or animated infographic-style video from a topic — even if they don't say "video podcast" explicitly. Also trigger when the user wants to regenerate, re-render, rebuild, update, or iterate on a narrated video this skill already produced — e.g. they edited the script/prompt, changed the visuals, or swapped the background music and want the final video remade (reuse the existing videos/{name}/ directory, never start a new project). Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.
日本語の概要は準備中です。原文の説明を表示しています。
把原始口播剪干净并配上字幕。Use when the user asks to clean up, rough-cut, or subtitle a talking-head (口播) video: remove long pauses, filler sounds, stutters, retakes and slips, then add subtitles.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-board communications, realtime voice agents, hardware agents and board deployment, self-refining recursive harnesses, programmable context, continual refinement, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
日本語の概要は準備中です。原文の説明を表示しています。
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
日本語の概要は準備中です。原文の説明を表示しています。
Rename Pharo methods safely through Genie's `rename_method` MCP refactoring tool. Use when a selector should be renamed while preserving behavior, updating senders and symbol references across the live image, including as one step in larger refactorings such as clarify API names, split responsibilities, or move behavior behind better messages.
日本語の概要は準備中です。原文の説明を表示しています。
Independent senior-engineering quality auditor — architecture, ownership, domain integrity, abstraction, and maintainability. Use as `--gate` inside the ck:cook pipeline (blocks a phase on BLOCKER/HIGH/current-change MEDIUM findings) or call directly with `--audit`, `--diff`, `--changed` on any repository, directory, or file. Never writes tests and never edits production code — it returns structured findings only; ck:cook or ck:fix apply the fix.
日本語の概要は準備中です。原文の説明を表示しています。
Independent senior-engineering quality auditor — architecture, ownership, domain integrity, abstraction, and maintainability. Use as `--gate` inside the ck:cook pipeline (blocks a phase on BLOCKER/HIGH/current-change MEDIUM findings) or call directly with `--audit`, `--diff`, `--changed` on any repository, directory, or file. Never writes tests and never edits production code — it returns structured findings only; ck:cook or ck:fix apply the fix.
日本語の概要は準備中です。原文の説明を表示しています。
Utility skill. Lists all projects under the projects/ directory and shows which Virtual Team pipeline phases have been completed for each project.
日本語の概要は準備中です。原文の説明を表示しています。
Use when designing how an Agentforce agent transfers the conversation to a human agent (Omni-Channel), to another bot/agent, or to an alternate workflow — including context package, deflection, escalation triggers, and user messaging. Triggers: 'agent to human handoff', 'agentforce escalate to omni channel', 'agent to agent handoff', 'transfer conversation with context', 'agent deflection fallback'. NOT for topic scope and selector design — use agentforce/agent-topic-design. NOT for the overall Einstein Bot plus Agentforce estate topology — use architect/conversational-ai-architecture.
日本語の概要は準備中です。原文の説明を表示しています。
Use when designing or reviewing list views, compact layouts, highlights panels, and search-result presentation so users can scan, find, and act on records quickly across desktop and mobile. Covers the deployable ListView, CompactLayout, SearchLayouts and ProfileSearchLayouts metadata: filterScope, booleanFilter, sharedTo, compactLayoutAssignment, and the package.xml shapes for each. Triggers: 'too many list views', 'compact layout not showing the right fields', 'search layouts vs list views', 'mobile highlights panel', 'list view missing after sandbox refresh', 'deploy a list view between orgs', 'list view column deployed blank', 'compact layout deploy failed', 'compact layout was named in package.xml but was not found in zipped directory'. NOT for page layouts or record types — use admin/record-types-and-page-layouts. NOT for Dynamic Forms — use admin/dynamic-forms-and-actions.
日本語の概要は準備中です。原文の説明を表示しています。