Generate a fully customized Amazon Connect AI agent PoC bundle (Lambda handlers, OpenAPI spec, AI agent prompt, Contact Flows, CloudFormation/CDK infrastructure, FAQ knowledge base) from a ~15-minute structured interview — or from a requirements doc, a flow sketch, or an existing flow/prompt you want to improve. Use when the user wants to build, scaffold, prototype, or refine an Amazon Connect contact center, an AI voice/chat agent on Amazon Connect, or any contact-center use case that mentions Connect, Lex, Wisdom, Q in Connect, "AI agent domain", or Agentic CX Designer (ACXD, Connect Customer, the Agentic CX block — the ACXD runtime target). Also triggers on "I have a requirements document", "turn this flow sketch into a Contact Flow", or "improve my existing Contact Flow / AI prompt". Produces 6 asset packages on local disk.
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。
aws-samples/sample-aicc-builder-for-amazon-connect-ai-agent☆ 192026年10月5日 更新
Generate a fully customized Amazon Connect AI agent PoC bundle (Lambda handlers, OpenAPI spec, AI agent prompt, Contact Flows, CloudFormation/CDK infrastructure, FAQ knowledge base) from a ~15-minute structured interview — or from a requirements doc, a flow sketch, or an existing flow/prompt you want to improve. Triggers on "amazon connect", "aicc", "contact center AI", "connect ai agent", "connect ai agents domain", "agentic cx designer", "acxd", "connect customer", "agentic cx block", "requirements document", "improve my contact flow", "flow sketch", "\uc544\ub9c8\uc874 \ucee4\ub125\ud2b8", "\ucee8\ud0dd\uc13c\ud130 AI \uc0c1\ub2f4\uc6d0".
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。
aws-samples/sample-aicc-builder-for-amazon-connect-ai-agent☆ 192026年10月5日 更新
Expert code reviewer focusing on quality, maintainability, performance, 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。
sandraschi/advanced-memory-mcp☆ 192026年10月13日 更新
Quantum physics expert making counterintuitive concepts accessible while maintaining mathematical rigor
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。
sandraschi/advanced-memory-mcp☆ 192026年10月13日 更新
Author and edit Skmtc generators — packages that project an OpenAPI domain model into application code. Method: clone the nearest stock generator, then apply the engine rules imitation can't teach. Assumes zero prior Skmtc knowledge. Use when asked to "write a skmtc generator", "author/clone/customize gen-x", "add a field type", "change export paths", "add enrichment options", or when editing generator source. ALWAYS pair with the target language's skill (skmtc-lang-typescript).
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。
skmtc/skmtc☆ 192026年10月12日 更新
Write, restructure, or review documentation — tutorials, how-to guides, reference pages, concept/explanation docs, API references, READMEs, changelogs, release notes, and troubleshooting guides. Distills documentation craft from Mintlify's guides (compiled from technical writers at Stripe, GitHub, Amplitude, and Anaconda), the Diátaxis framework (including the compass and per-type voice), the Google and Microsoft style guides, Every Page Is Page One, Write the Docs, and Docs for Developers: audience analysis, content-type selection, style and word-level rules, procedure writing, structure for humans and AI agents, code-example standards, page templates (templates.md), mechanical enforcement and llms.txt (mechanics.md), maintenance, and success metrics. Use this skill when the user asks to "write docs", "document this feature", "improve this page", "review these docs", "write a tutorial / how-to / reference page", "structure the docs", "write API documentation", "write a README / changelog", or when authoring any file under a `docs/` tree. For SKMTC docs specifically, this skill governs the *craft* (what makes the page good); the content split between skills, `llms.md`, and the docs tree is governed by `docs/skills/README.md`. Distinct from `skmtc-retro` (captures observations about work) and the `skmtc-*` operational skills (guide doing the work) — this skill guides writing *about* the work for readers.
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。
skmtc/skmtc☆ 192026年10月12日 更新
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
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。
umairinayat/Specter-AI☆ 182026年9月29日 更新
Import cookies from your real browser (Comet, Chrome, Arc, Brave, Edge) into the headless browse session. Opens an interactive picker UI where you select which cookie domains to import. Use before QA testing authenticated pages.
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。
umairinayat/Specter-AI☆ 182026年9月29日 更新
Pre-landing PR review. Analyzes diff against main for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues.
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。
umairinayat/Specter-AI☆ 182026年9月29日 更新
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
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。
umairinayat/Specter-AI☆ 182026年9月29日 更新
Ship workflow: merge main, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR.
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。
umairinayat/Specter-AI☆ 182026年9月29日 更新
Expert .NET 10 Full-Stack Developer skill. Use this when implementing new features, vertical slices, or modifying existing logic in the JJGNET Broadcasting application. It covers Domain, Data (EF Core), Managers, Api, and Web.
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。
jguadagno/jjgnet-broadcast☆ 182026年8月4日 更新
Review API DTO implementations for contract/domain separation, mapping patterns, and REST compliance
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。
jguadagno/jjgnet-broadcast☆ 182026年8月4日 更新
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
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。
MaddieMo1/Pi-Agent-Web☆ 182026年9月8日 更新
Qualitative quality review of game design documents — answers "is this design good, and does it follow best practices?" — across all three GDD axes: systems, flows, and content types. Fans out adversarial lenses (completeness, clarity, pillar alignment, systems-math, fantasy-delivery, feasibility, scope) plus domain lenses that check it against the game-design rules, each prompted to find problems rather than validate; produces a severity-graded verdict and a two-bucket report (apply-ready fixes vs research), handed to /unikit-gd-apply or /unikit-gd-explore in one move. Scope is inferred: a named system, flow, or content type reviews that document; "all" runs a cross-document review. Use when the user wants a critique, quality judgment, or rules check of the design, e.g. "review the combat GDD", "review the onboarding flow". This is the subjective quality pass — for a mechanical consistency check (numbers, terms, IDs, references matching the registry) use /unikit-gd-verify.
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。
NintendaDev/unikit-ai☆ 182026年10月14日 更新
Generate and maintain the project's TECHNICAL documentation from its codebase — scans the project structure, tech stack, and module boundaries, then writes a lean README landing page plus detailed topic pages (architecture, modules, setup, build, APIs), only the docs that are relevant. Use whenever the user wants to create, update, or validate documentation of the CODE or the project itself, e.g. "generate documentation", "create docs", "write the README", "update the project docs", "document the codebase", "document this project's architecture", "validate the project documentation". This is CODE / project documentation only — it never documents the game design. To render the GAME DESIGN (the GDD: systems, flows, content, economy) for people to read use /unikit-gd-docs.
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。
NintendaDev/unikit-ai☆ 182026年10月14日 更新
Pre-compaction housekeeping. Walks a checklist (persistent memory updates, git hygiene, trash cleanup) plus an open-judgment audit, produces an SBAR with a go/no-go recommendation, and emits a copy-pasteable resume prompt for the post-compaction agent if work remains. Run this immediately before /compact.
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。
chrisallenlane/claude-swe-workflows☆ 182026年5月19日 更新
Mechanical documentation hygiene. Spawns a doc-maintainer agent to audit all project documentation and fix correctness, completeness, freshness, and consistency issues autonomously within its authority. Surfaces anything requiring user judgment for approval.
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。
chrisallenlane/claude-swe-workflows☆ 182026年5月19日 更新
Adversarial project planning workflow. Explores the problem space, drafts tickets in batches, then runs sequential adversarial loops — a mandatory UX loop ("should we build this?"), zero or more discretionary specialist loops (security, performance) for projects with architectural implications in those domains, and a mandatory implementer loop ("could we build this?") — to find gaps before implementation. Creates well-specified, batch-tagged tickets upstream only after every applicable loop signs off.
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。
chrisallenlane/claude-swe-workflows☆ 182026年5月19日 更新
Autonomous iterative refactoring workflow. Scans for tactical code quality improvements (DRY, dead code, naming, complexity), implements through SMEs, verifies with QA, commits atomically, and loops until no improvements remain.
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。
chrisallenlane/claude-swe-workflows☆ 182026年5月19日 更新
Use this skill to maintain an agent log in .agents/log, a decision journal shared by the developer and agents. Trigger when the user explicitly asks to use agent-log or record/update an agent log entry; when planning, implementing, or finalizing a significant feature in a repo with an existing .agents/log; or before non-trivial changes or questions in areas covered by existing entries. Never initialize .agents/log unless the user explicitly asks for an agent log.
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。
denysdovhan/agents☆ 182026年7月29日 更新
Use when creating, reviewing, debugging, or maintaining Home Assistant custom Lovelace cards or card editors, including custom elements, Web Components, hass data, setConfig, getCardSize/getGridOptions, getConfigElement/getConfigForm, window.customCards, resource registration, HACS card packages, entity display, service calls, translations, or frontend build validation.
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。
denysdovhan/agents☆ 182026年7月29日 更新
Use this skill when creating, scaffolding, reviewing, or maintaining Python Home Assistant custom integrations, including work on custom_components, manifests, config flows, options flows, config entries, platforms/entities, DataUpdateCoordinator, integration automation triggers, diagnostics, repairs, discovery/networking, authentication, HACS-ready repositories, or Home Assistant integration quality scale compliance.
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。
denysdovhan/agents☆ 182026年7月29日 更新
Add /compact command for manual context compaction. Solves context rot in long sessions by forwarding the SDK's built-in /compact slash command. Main-group or trusted sender only.
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。
nanocoai/nanoclaw-skills☆ 182026年3月30日 更新