「cta」の検索結果

The Agent Tool Contract — 5 principles for designing tools agents call reliably: predictable signature, rich errors, token-efficient output, idempotency, graceful degradation. Includes anti-pattern table with 8 common mistakes.

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 focused empty states for zero-data, no-results, permission, and error situations with clear value framing, strong CTAs, and less dead chrome. Use when the user mentions blank pages, zero-data screens, no results, permission states, or dead controls—not broader onboarding strategy.

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。

Improve UX writing, marketing copy, labels, microcopy, instructions, and error messages so interfaces and product messaging are easier to understand and act on. Use when the user mentions confusing copy, unclear labels, bad error text, weak CTAs, hard-to-follow instructions, or wanting better UX writing.

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。

Stealth headless browser with CDP server for anti-fingerprint browsing, parallel scraping, and low-memory CDP automation. This skill should be used when stealth browsing, anti-detection scraping, headless CDP automation with fingerprint protection, or tracker-free page fetching is needed. Triggers on 'stealth browse', 'anti-fingerprint', 'obscura', 'stealth CDP', 'undetectable scraping', 'headless stealth', 'tracker-free browsing'.

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。

Local speech-to-text on Apple Silicon with two cross-checking MLX engines: NVIDIA Parakeet TDT v2 (parakeet-mlx) and Qwen3-ASR 1.7B (mlx-audio, hotword biasing). Batch JSONL with word timestamps, confidence, provenance, and an agreement verdict. No NeMo or PyTorch. Use when transcribing audio files, identifying game or legacy voice clips by content, telling speech from SFX, serving an OpenAI-compatible STT endpoint, or dictating. For push-to-talk into any text field, use the Handy app.

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。

Strip AI writing patterns from prose across five registers — casual, professional, academic, technical, and narrative. Applies 200+ pattern rules to eliminate predictable LLM tells. Triggers on clean up writing, remove AI slop, edit prose, make this sound less AI.

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。

Recreate grainient.supply's 16 dark-mode visual effects as single-file HTML pages: WebGL shader gradients, vignette overlays, 9-layer box shadows, smooth scroll, spring animations, hover-zoom, ticker marquees, glassmorphism, 3D card flips, bento grids, gradient CTAs. Dark-mode-first with lime green (#C2F13C) accent. Triggers on grainient effects, dark-mode landing page, cinematic depth, glow effects, SaaS showcase, visual effects page.

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。

Detects seven structural anti-patterns in Claude Projects that cause unpredictable output, ignored instructions, and degraded quality. Diagnoses Monolith, Orphan File, Echo Chamber, Phantom Conversation, Kitchen Sink, Misaligned Hierarchy, and Blurred Layers. Use when user says "what's wrong with my project," "Claude ignores my instructions," "diagnose my project," "why is output inconsistent," "review my project setup." Also trigger on symptom-phrased: "Claude doesn't follow my rules," "my instructions keep getting overridden," "my Project isn't behaving as designed." Use alongside rootnode-project-audit if available for deeper structural analysis. Activate whenever the user describes symptoms of unreliable, inconsistent, or degraded Claude Project output, even if they do not name a specific pattern. Do NOT use when the user's primary request is Memory-layer rebalancing (use rootnode-memory-optimization if available) or scoring a single prompt (use rootnode-prompt-validation if available).

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 needs to write, rewrite, review, or critique commercial copy meant to drive a reader toward action — landing pages, hero sections, headlines, email (cold outreach, nurture, promo, launch), CTAs, microcopy, product descriptions, value propositions, ads, or taglines. Also for copy audits, clarity checks, conversion reviews, or choosing a framework (AIDA, PAS, BAB, FAB, 4U's). Applies even when the user just says "write me an email" or "review this page." Not for channel/budget strategy (use channel-expert) or pricing structure (use pricing).

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 deliverable is spoken words to be performed on camera or into a mic: video and podcast scripts, hooks, and CTAs for short-form (TikTok, Reels, Shorts), YouTube long-form, or podcast episodes. Triggers: "write me a reel about X", "I need a hook for my video", "script a 60-second video", "draft a podcast episode", "turn this idea into a script". For motion/timing/shot specs rather than the words, use motion-picture.

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。

Monitor, cap, and recover from context accumulation in agentic systems. Covers per-cycle cost tracking, context window auditing, budget caps with enforcement policies, emergency pruning when approaching limits, and progressive disclosure integration to minimize token spend on routing. Use when running long-lived agent loops (heartbeats, polling, autonomous workflows), when context windows are growing unpredictably between cycles, when API costs spike beyond expected baselines, when designing new agentic workflows that need cost guardrails from the start, or when post-mortem analysis reveals a cost incident caused by context accumulation.

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 jigsaw puzzles via generate_puzzle() or geom_puzzle_*() with parameter validation against inst/config.yml. Supports rectangular, hexagonal, concentric, voronoi, and snic puzzle types with configurable grid, size, seed, offset, and layout parameters. Use when creating puzzle SVG files for a specific type and configuration, testing generation with different parameters, generating sample output for documentation or demos, or creating ggplot2 puzzle visualizations.

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。

知識型 IG 輪播圖卡的獨立審核員（Joker）——預設有罪推定、禁止 LGTM。對一套輪播圖卡＋文案，按「封面/結構/擴散/CTA/品牌」五類硬規則逐條 PASS/FAIL，指到卡給可照做的改法，並算社群擴散體質分。是 Social Post Producer 迴圈裡的「審」（寫審分離）。觸發詞：驗收這套輪播、這組圖卡會不會擴散、red team 這個 carousel、carousel joker、圖卡審核、這套 IG 圖文夠不夠好。立場是找碴不是稱讚。

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。

60-Second Restaurant Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full audit

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 audit a complete, concise, UI-ready website page content framework from verified business facts before visual design. Use to define page goals, customer decision flow, section order, realistic draft copy, content and evidence needs, CTAs, or page-family rules; do not use for visual design, HTML, SEO implementation, or platform 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。

Audits existing landing pages for conversion rate optimization. Scores hero section, CTA placement, social proof, objection handling, and form friction on a 1-10 scale. Use when someone says 'audit my landing page', 'improve conversions', 'why isn't my page converting', 'CRO audit', 'landing page feedback', 'optimize my signup page', 'page review', 'conversion rate', 'bounce rate is high', 'nobody is signing up', or anything about improving an existing page's performance. Even if they just share a URL and say 'what do you think' or 'how can I improve this' — if there's a page involved and conversion matters, this is the skill. Always use this over generic advice when an actual page exists to audit.

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。

Write copy that converts. Use when writing landing pages, emails, sales copy, headlines, CTAs, social posts, cold emails, or any persuasive text. Triggers on 'copy', 'copywriting', 'sales copy', 'landing page copy', 'cold email', 'headlines', 'write me a page', 'make this convert', 'rewrite this copy', or any request involving persuasive writing. Three modes: Generate (write from scratch), Edit (improve existing copy with Seven Sweeps), Cold Email (outbound sequences). If someone has text that needs to sell harder, this is the 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。

Head-to-Head Candidate Comparison — two candidates side-by-side across skills, experience, culture fit, salary expectations, references, hire-or-no-hire recommendation

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。

60-Second Role Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full analysis

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。

Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.

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 during Phase 5 formal hardening. Provides tool selection, proof harness patterns, security/purity audit expectations, and verification result interpretation for Rust (Kani), Python (hypothesis), and TypeScript (fast-check).

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 project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, README expectations, and conventional commit summaries.

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。

Voicebox voice I/O: when to speak aloud, pick voices, recall dictated Captures via MCP.

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 the SERVQUAL model (Parasuraman, Zeithaml, and Berry, 1988) to measure service quality gaps across five dimensions. Use this skill when the user needs to diagnose service quality shortfalls, benchmark customer expectations against perceptions, design service improvement programs, or when they ask 'where is our service failing', 'what do customers expect vs experience', or 'how do we measure service 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。