「product」の検索結果

Use when the user is working a B2B SaaS deal from qualified opportunity to closed-won — preparing discovery calls, structuring demos or POCs, handling a specific objection, qualifying with MEDDIC/MEDDPICC/SPICED, building mutual action plans, navigating negotiation or procurement, or reviewing pipeline health, forecast accuracy, and deal velocity. Not for finding or prospecting new leads (use prospecting) or upstream positioning (use product-position).

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。

Generate a complete "constitution + documentation system" for a new autonomous, agent-run project — a content channel, an ebook press, an SEO tool-site, a web product, a casual game, or anything that should run itself with minimal human babysitting. Use when starting a brand-new self-running project and you want a CEO-orchestrated architecture (main agent → sub-agents → skills → CLI/MCP) with a named document system, a session lifecycle (start → work → finalize), and a growing identity/soul — scaffolded from a short structured interview. Triggers - "start a new autonomous project", "scaffold a project constitution", "set up an agent-run project", "generate a CLAUDE.md / AGENTS.md for a new project", "design the workflow for X", "bootstrap a self-running pipeline".

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。

Etsy SEO optimization for existing and new listings. Auto-detects REWRITE (when user pastes a current title + tags + description) or CREATE (when user gives a short product context). Triggers on "rewrite this listing", "optimize my Etsy listing", "fix my title and tags", "create new listing", "make a new Etsy listing". Uses live Etsy autocomplete + competitor SERP scraping for evidence-driven keyword research. Enforces 2026 Etsy rules — tag ≤20 chars, primary keyword in first 40 chars, indexing spread across title/tags/attributes/description/hero alt, NLP-aware writing, trademark stoplist scan. When the user's problem isn't SEO (CTR, conversion, photos, price, saturated niche), it says so directly and routes to concrete next steps. Silently maintains a markdown listing database at ~/etsy-listings/ for cross-session memory on Claude/Cowork. Catches duplicate primary keywords across the user's own listings.

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 loading core files in GDB or LLDB, enabling core dump generation via ulimit or coredumpctl, mapping symbols with debuginfod, or extracting backtraces from production segfaults.

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 asks to rank deployment platforms and stacks against their product with quantitative trade-offs. Not for source or remote mutation.

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 asks to fix P0s, address critical issues, or work on priorities from the weekly product briefing. Don't use for non-P0 issues or local bug fixes.

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 deciding what an interface should do before UI is built or audited: consequences, action scope, reachable states, naming, and accessibility. Not for visual implementation: use prototype.

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 asked to build or modify production-quality components, layouts, state, and pages with WCAG 2.1 AA and real content. Not for token-system design: use frontend-design-deslop.

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 a trusted bug or performance report needs reproduction and fix. Not for untrusted reports or scope beyond the named feature.

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 bounded Odylith product changes touch security posture, trust, provenance, or hardening guidance.

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 grounded Radar backlog workstreams must be created from source-backed product evidence.

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。

Independently review one Proto UI autonomous-maintenance remediation in a fresh read-only context. Use after pui-remediate produces a packet and actual diff. Classify technical-completion eligibility without making product or integration decisions.

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。

Repair one independently verified Proto UI maintenance finding when governing authority or an explicit product decision fixes the expected result. Use for the bounded remediation and its evidence packet before independent review.

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。

Apply Odylith security-hardening guidance to bounded product changes.

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。

Speed up Rust development iteration when `cargo build --release` takes 10+ minutes even for one-line edits. Use when: (1) every release rebuild takes minutes despite tiny edits, (2) Cargo.toml has `lto = "fat"` and/or `codegen-units = 1` in `[profile.release]`, (3) you want a production- shaped build for testing without paying the LTO cost on every iteration, (4) you suspect cargo is re-linking the whole binary instead of doing incremental work, (5) developing rfdb/grafema-orchestrator/large Rust binaries where full LTO is enabled for shipped builds. Adds a `fast` profile that inherits release but disables LTO, raises codegen-units, enables incremental compilation — first build still slow because it populates a fresh `target/fast/` dep cache, but every subsequent rebuild drops from ~13 min to ~13 s (≈60×).

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。

Cyclical dogfooding loop: test AI-AGENT-STORIES.md against the live graph, discover new stories, analyze gaps, fix root causes, re-test, write report. Use when: (1) user says "/gap-loop", (2) periodic dogfooding session, (3) after a release or major feature to re-validate stories, (4) before sprint planning to prioritize product gaps.

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。

This skill should be used when the user asks to "make an explainer video", "turn this into a short explainer", "write a script and storyboard for a product video", "produce a how-it-works/onboarding video", "sync narration and captions", or "build a 30–90s animated explainer". Covers script→storyboard→scene build→narration/caption sync→edit→polish.

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。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

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。

Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries/mutations/actions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM/agent workflows on Convex's one-platform stack.

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。

Read project data documentation (data dictionaries, dbt manifests, model docs, column descriptions, lineage, metric definitions) before writing analytics SQL. Use for mapping business and product terms to concrete models and columns.

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。

Generates product demo videos and release walkthroughs via Remotion. Use when creating video documentation or animated demos.

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。

Create or redesign product UI in an existing codebase, including a wireframe, substantive visual variations, and an interactive prototype. Use for requests about UI layout, visual direction, screens, flows, components, a landing page, dashboard, or making an interface feel polished. Do not use for backend work, system architecture, decks, or logic-only UI fixes.

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。

Access the Anthropic product named Claude Design when the request contains that exact name, a claude.ai/design URL, or a .dc.html file. Also use for standalone-to-artifact migration and Claude Design artifact links. Use for projects, files, design systems, previews, conversations, comments, sharing, and code-to-design or design-to-code synchronization; otherwise stay inactive.

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。

Apply product-grounded visual quality constraints during user-visible UI changes. Use for layout, styling, content hierarchy, theming, responsive behavior, or interaction affordances. Stay inactive for logic-only changes that preserve the rendered interface.

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。