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cccskills

「insight」の検索結果

654 件 ・ 関連度順

概要と使いどころ

Pull GA4 reports, traffic data, and insights from the Google Analytics Data API. Use when asked about website traffic, user behavior, acquisition channels, conversions, or audience segments. Trigger phrases: "google analytics", "GA4", "traffic report", "analytics data", "user acquisition", "engagement metrics", "conversion tracking", "audience segments", "page views", "sessions".

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。

OpenClaudia/openclaudia-skills7152026年10月11日 更新

Review and revise academic papers with a senior-reviewer workflow. Use when an AI research/coding agent needs to work on an existing paper draft, PDF, LaTeX project, Word document, markdown manuscript, rejected paper, or paper idea that already has a concrete direction, and produce: paper maps, weakness audits, insight/novelty checks, reviewer objections, claim-experiment matrices, theory/proof checks, experiment plans, statistics/reproducibility audits, figure/table audits, ethics/compliance checks, revision plans, detailed section edits, or final submission checklists.

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。

M1n-n9/paper-lifecycle6962026年6月16日 更新

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.

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。

Ar9av/PaperOrchestra6822026年10月12日 更新

25 real-world system design case studies condensed from Alex Xu's System Design Interview Vol 1 and 2 - requirements, architecture, deep dive insights, key takeaways

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。

nWave-ai/nWave6172026年9月16日 更新

Dung khi mot CA NHAN can viet BAI DAI de xay uy tin, khong phai copy ban hang — 3 cau truc chuan cho thi truong VN gom PAS-Insight cho founder, Story-Lesson-CTA cho coach, Hook-List-Reveal cho creator; 6 cong thuc hook long-form; ky thuat nhip cau; do dai theo nen tang LinkedIn, Facebook, newsletter; ma tran tai su dung 1:5. Kich hoat khi user nhac 'viet bai LinkedIn', 'thought leadership', 'long form post', 'newsletter ca nhan', 'viet bai chuyen sau', 'khong biet viet gi tren trang ca nhan', 'muon duoc coi la chuyen gia'. Khong dung cho — copy quang cao tra tien thi dung skill 05-copy-quang-cao; caption ngan cho fanpage doanh nghiep thi dung skill 37-caption-social; kich ban video ngan thi dung skill 04-script-video.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Dung khi phai setup do luong TRUOC khi tieu bat ky dong nao — pixel va CAPI, GA4, UTM convention, event mapping, offline conversion, dong y du lieu, va checklist verify xanh. Kich hoat khi user nhac 'setup tracking', 'cai pixel', 'UTM', 'CAPI', 'do luong chuyen doi', 'so lieu khong khop'. Quy tac cung: khong chay ads khi tracking chua xanh. Khong dung cho — doc data da co ra insight thi dung skill 13-phan-tich-du-lieu; ra soat cau hinh ads thi dung skill 21-audit-ads-performance.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Use when a PERSONAL brand needs long-form WRITTEN content that builds authority rather than sells — LinkedIn posts, X threads, Substack and Medium essays, using PAS-Insight for founders, Story-Lesson-CTA for coaches, and Hook-List-Reveal for creators, with six hook formulas and a 1-to-5 repurpose. Trigger on 'LinkedIn post', 'thought leadership', 'write a Twitter thread', 'newsletter essay', 'Substack post', 'I want to be known for this topic'. Also use when the user has an opinion and wants it turned into a post. Not for — company brand captions, see `37-social-caption-global`; paid ad copy, see `05-ad-copy-global`; short video scripts, see `04-script-video-global`.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Dung khi leader phai DUYET output CHU cua team truoc khi trien khai — content brief co dung insight va dung pillar khong, CTA co ro khong; ads copy va creative co proof cho claim khong, dung tone khong, hook co nam trong 125 ky tu dau khong; verdict Approve / Revise / Redo kem feedback cu the. Kich hoat khi user nhac 'duyet brief', 'review ads copy', 'duyet content', 'check truoc khi chay', 'bai nay dang duoc chua', 'em viet the nay sep xem giup', 'duyet output team'. Khong dung cho — cham diem THIET KE va hinh anh thi dung skill 47-design-review; danh gia nang luc nguoi lam thi dung skill 65-team-performance-review; can nhieu goc nhin phan bien cho mot huong chien luoc thi dung skill 72-hoi-dong-marketing.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. Kich hoat khi user nhac 'nghien cuu audience', 'tep target', 'nham ai', 'interest targeting', 'chon tep chay ads', 'lookalike tu dau'. Khong dung cho — hieu tam ly va ngon ngu khach hang thi dung skill 09-insight-khach-hang; phan bo ngan sach cho tung tep thi dung skill 54-media-plan.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Dung khi da co lich content va can brief tung bai truoc khi viet — goc tiep can, insight goc, key message, CTA, format va tieu chuan nghiem thu. Kich hoat khi user nhac 'brief bai content', 'brief tung bai', 'goc cho bai nay', 'viet gi cho bai thu 3', 'content brief', 'huong dan viet bai'. Khong dung cho — lap lich ca thang thi dung skill 01-lich-noi-dung; viet caption thanh pham thi dung skill 37-caption-social; brief hinh anh thi dung skill 42-brief-hinh-anh.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Use when starting work on a new product, client, or market — this skill creates the file `.agents/product-marketing-context-global.md` that 60+ other global skills read before they write anything: product, ICP, positioning, proof, objections, brand voice, pricing, and KPIs, with a region variant for US, EU, SEA, or LATAM. Run once, reuse forever. Trigger on 'set up marketing context', 'new client setup', 'onboard a new product', 'the AI does not know my product', 'US marketing context', 'EU GDPR setup', 'SEA market context', 'LATAM setup'. Also use when the user complains every answer comes back generic because nothing about the business was ever provided. Not for — a personal brand belonging to a founder, coach, or creator, see `22-personal-brand-context-global`; deep persona and JTBD research, see `09-customer-insight-global`; the period plan itself, see `00-marketing-plan-global`.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Dung khi can tim va tiep can khach hang doanh nghiep — xac dinh ICP, dung danh sach prospect co nguon va ngay verify, cham diem Hot/Warm/Cold, va viet outreach qua Zalo, dien thoai, email. Kich hoat khi user nhac 'tim khach hang B2B', 'danh sach prospect', 'lead gen B2B', 'tiep can doanh nghiep', 'cold outreach', 'ban cho cong ty'. Khong dung cho — khach hang o NUOC NGOAI thi dung skill 29-xuat-khau-b2b; tai lieu ban hang va quan ly pipeline thi dung skill 71-sales-enablement; khach hang le B2C thi dung skill 09-insight-khach-hang.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Use when the user needs to understand competitors — direct, indirect, and substitute tiers, positioning map, SWOT, ad and content benchmark, pricing comparison, and the market gap to attack, using SimilarWeb, Ahrefs, Semrush, and the Meta Ad Library. Trigger on 'competitor research', 'competitive analysis', 'what are competitors running', 'who else sells this', 'why do people pick them over us', 'benchmark us against the market'. Also use when the user sends a competitor link and asks for an opinion. Not for — understanding the customer rather than the rival, see `09-customer-insight-global`; turning difference into a statement, see `58-positioning-global`; paid targeting, see `51-audience-research-global`.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Use when ONE specific piece of content needs a brief before anyone writes — placement, angle plus the source insight behind it, key message, three hook options, CTA, format, brand voice reference, visual direction, and distribution. Trigger on 'content brief', 'brief for this post', 'brief a writer', 'what angle should this take', 'brief for the LinkedIn post', 'give the freelancer something to work from'. Also use when the user has a topic and no idea what to actually say about it. Not for — the month schedule of what posts when, see `01-content-calendar-global`; the finished caption text, see `37-social-caption-global`; a spoken video script, see `04-script-video-global`; the image spec, see `42-image-brief-global`.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Use when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan. Covers dropshipping ROAS and BE-ROAS. Trigger on 'why is CPA so high', 'my ads are not converting', 'ROAS dropped', 'we are burning budget', 'performance is bad this month', 'diagnose the funnel'. Also use when the user pastes a screenshot of numbers with no question attached. Not for — auditing account configuration and scoring health, see `21-ads-audit-global`; writing a report someone else reads, see `07-marketing-report-global`; turning a raw export into insight, see `13-data-analysis-global`.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Use when paid ad AUDIENCES must be researched and defined before launch — target profile, interest and behavior mapping per platform, audience sizing, cold, warm, and hot tiering, lookalike seeds, exclusions, and ranked targeting hypotheses to test. Trigger on 'audience research', 'who should I target', 'interest targeting', 'Meta audience for this product', 'TikTok targeting ideas', 'my targeting is too broad'. Also use when launch is imminent and the ad set targeting is still empty. Not for — persona and JTBD depth for content, see `09-customer-insight-global`; warm retargeting tiers, see `56-retargeting-plan-global`; where the budget goes, see `54-media-plan-global`; the campaign hierarchy, see `52-account-structure-global`.

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。

minhnv0807/ai-business-skills6132026年9月12日 更新

Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

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。

ECNU-ICALK/AutoSkill6002026年5月10日 更新

Estimate and communicate business impact of insights. Use when sizing opportunities discovered in analysis, calculating ROI of recommended actions, or prioritizing initiatives by potential impact.

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。

nimrodfisher/data-analytics-skills4732026年9月25日 更新

Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.

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。

nimrodfisher/data-analytics-skills4732026年9月25日 更新

当用户想找创意灵感、看爆款视频的分镜脚本或复刻提示词、拆解热门内容的视觉元素和关键帧、了解某行业出圈视频的创作思路时使用。手动触发:/inspiration

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。

bytedance/agentkit-samples4712026年10月12日 更新

fusion

無料

Answer a hard question by fanning it out to a PANEL of models running in parallel — each answering independently with web search and bash, none seeing the others' work — then having Opus 4.8 judge every response into a structured analysis (consensus, contradictions, partial coverage, unique insights, blind spots) and write a final answer grounded in it. The panel is two independent Opus 4.8 runs (slug opus4.8-4.8), Opus 4.8 + GPT-5.5 via codex (opus4.8-gpt5.5), Opus 4.8 + Gemini 3.1 Pro via agy (opus4.8-gemini3.1pro), or all three (opus4.8-gpt5.5-gemini3.1pro). Opus always judges and writes the final answer — the pipeline can't be reversed. Runs on local CLI subscriptions (no metered API), and saves a timestamped provenance .md per run. Use this whenever the user asks to "run it through Fusion", says /fusion, wants a multi-model / panel / ensemble answer, wants a question cross-checked across models, or wants a higher-confidence answer with consensus and blind spots surfaced — even if they don't say "fusion". General-purpose: any topic (research, law, strategy, technical, personal). Best for high-stakes research, design calls, and debugging where being confidently wrong is expensive.

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。

duolahypercho/fusion-fable4702026年7月20日 更新

Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.

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。

BrianRWagner/ai-marketing-claude-code-skills4442026年3月19日 更新

Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.

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。

BrianRWagner/ai-marketing-claude-code-skills4442026年3月19日 更新

Runs a product quality review on a journey, feature, landing page, onboarding flow, or AI/agent surface and returns a friction log, a scored critical-journey review, and a taste bar your team can calibrate against. Use when someone asks is this good enough to ship, how polished should it be, why do users bounce, what is our quality bar, how do we build taste, or to review a design, prototype, onboarding, or checkout. Draws on 264 insights from 100 Lenny's Podcast guests incl. Katie Dill, Dylan Field and Stewart Butterfield.

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。

menkesu/awesome-pm-skills4422026年10月6日 更新