「designing」の検索結果

Use this skill when designing free tools and calculators for lead generation and SEO

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。

Product marketing strategy, positioning, and competitive intelligence for B2B SaaS. Use when defining ICP, developing positioning (April Dunford method), creating messaging hierarchy, building competitive battlecards, planning sales enablement, sizing market opportunity (TAM/SAM/SOM), mapping PMF spectrum, designing growth loops, writing PR/FAQ working backwards docs, or creating a product marketing context document.

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。

Comprehensive outbound email strategy skill for cold outreach, email sequences, and multi-channel campaigns. Use when writing cold emails, creating outreach sequences, optimizing response rates, designing follow-up cadences, or building outbound campaigns. Covers prospecting, personalization frameworks, sequence design, subject lines, response handling, compliance, email design, HTML email templates, email layout, email marketing, newsletter design, drip campaigns, email subject lines, email headers, and cold email templates for discovery calls and SDR workflows.

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。

Growth strategy for product-led and loop-driven growth systems. Use when building growth strategy, designing growth loops, planning acquisition channels, evaluating network effects, deciding when to scale, or coordinating product, engineering, data, and marketing around growth. For SEO audits use seo-and-aeo-strategy; for page/form CRO use conversion-rate-optimization; for A/B test design use ab-test-setup.

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。

ESPHome device configuration, firmware, and IoT product development. Covers ESP32, ESP32-S3, ESP32-C3, ESP32-C6, ESP32-H2, ESP32-P4, ESP8266, RP2040, RP2350, nRF52, LibreTiny, Shelly, Sonoff, Tuya, BLE proxy, Matter firmware, Thread, Zigbee, GPIO, sensor YAML, LVGL displays, LED strips, voice assistant hardware, device flashing, Arduino conversion, alarm_control_panel, lock, valve, media_player, microphone, speaker, audio DAC, event entities, datetime entities, Z-Wave proxy, MIPI DSI displays, and DLMS smart meters. Also covers designing new ESPHome-based products: hardware selection, component sourcing, PCB design (KiCad), enclosures, 3D printing, CE/FCC certification, BOM optimization, and manufacturing from prototype to production scale.

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。

Maps an unfamiliar or large codebase before implementation by locating entry points, ownership, execution paths, conventions, tests, dependencies, change hotspots, and unresolved questions. Use when onboarding to a repository, scoping a cross-cutting change, preparing a handoff or reusable CodeTour, explaining a subsystem, or when the agent is guessing where behavior lives. Not for diagnosing one reproduced failure or designing a new architecture before the current system is understood.

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。

Reviews an existing codebase for structural friction, unclear ownership, leaky or shallow interfaces, excessive coupling, misplaced state, poor testability, and risky dependency direction, then prioritizes evidence-backed improvement candidates. Use for architecture audits, modularization, modernization, or recurring cross-cutting change pain. Not for designing one new interface, simplifying a local function, or fixing a reproduced bug.

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。

Guides incident response from detection through postmortem. Use when designing on-call runbooks, triaging production incidents, writing status updates, or improving MTTD and MTTR.

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。

Builds production voice bots and IVR with Python STT/TTS pipelines. Use when designing telephony, streaming audio, latency budgets, or voice quality monitoring.

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。

Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.

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。

Builds production AI bots with Python for support, sales, and custom domains. Use when designing conversation flows, personas, escalation, or LangGraph state.

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 reviewing PlainTab architecture, looking for refactoring opportunities, reducing coupling, improving testability, or making modules easier for agents to understand without redesigning stable behavior.

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。

Designing scheduling and time-aware logic for cron, timezone/DST, retry/backoff, and business-calendar systems. Use when schedule design is needed.

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。

Designing regex, parsers, and DSLs for grammar authoring and ReDoS-safe regex. Not for REST APIs (Gateway) or DB schemas (Schema).

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。

Designing LLM-optimized folder structures: audits and restructures directories for context efficiency, progressive disclosure, and prompt cache performance. Not for general repo structure (Grove).

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。

Designing a repository's operating layer — which project-local skills, recipes, and orchestration workflows it needs, as one system. Not for a single skill body (Sigil) or runtime routing (Nexus).

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。

Designing GitHub Actions workflows in depth: trigger strategy, security hardening, performance optimization, PR automation, and Reusable Workflow design.

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。

Designing database schemas, migrations, and multi-tenant architecture: RLS, tenant routing, provisioning, quotas, and isolation. Not for query-plan tuning (Tuner).

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。

Designing a repository's project-local operating layer and generating its skills, recipes, workflows, and routing map. Not for global ecosystem agents (Architect) or runtime execution (Nexus).

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。

Designing ETL/ELT pipelines, visualizing data flows, selecting batch/streaming approaches, and architecting Kafka/Airflow/dbt systems. Use when building data pipelines or managing data quality.

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。

Designing search engines and vector DBs for full-text, vector, and hybrid retrieval, including permission-aware retrieval for multi-tenant or per-role corpora. Use for search design, index optimization, the RAG retrieval layer, or deciding where ACL filtering belongs in the query path.

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。

Designing web-to-iOS/Android porting strategy: feature parity matrices, native architecture maps, phased Strangler-Fig roadmaps. Not for same-language migration (Shift) or native impl (Native).

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。

Designing workflows and state machines. Use when state transition design, invalid transition detection, Saga patterns, or approval flow design is needed.

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。

Designing retention strategy, re-engagement, and churn prevention: retention analysis frameworks, re-engagement triggers, gamification, habit formation, and loyalty programs.

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。