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cccskills

「tam」の検索結果

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概要と使いどころ

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 can hieu khach hang du sau de viet duoc content va chon duoc tep — persona 3 tang, cau noi noi tam, pain map, objection list va ngan hang ngon ngu khach hang lay tu review va inbox that. Kich hoat khi user nhac 'insight khach hang', 'chan dung khach hang', 'customer persona', 'khach hang cua toi la ai', 'khach nghi gi', 'ho mua vi ly do gi'. Khong dung cho — thu thap thong tin khi agency nhan khach moi thi dung skill 20-brief-client-intake; nghien cuu tep de chay ads thi dung skill 51-audience-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。

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

Use when the user needs email or lifecycle automation — welcome series, nurture, abandoned cart, re-engagement, broadcast, and transactional flows with subject lines, segmentation, cadence, and deliverability, plus legal variants: CAN-SPAM for US, GDPR opt-in for EU, PDPA for SEA, LGPD for LATAM. Covers Klaviyo, Mailchimp, and ActiveCampaign. Trigger on 'email marketing', 'welcome sequence', 'drip campaign', 'newsletter', 'abandoned cart emails', 'nobody opens our emails'. Not for — coding HTML that renders correctly in Outlook, see `49-html-email-template-global`; cold outbound to B2B prospects, see `33-b2b-lead-gen-global`; refer-a-friend loops, see `18-referral-program-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 a price has to be set or changed — value-based pricing, anchoring, charm pricing, decoy tiers, good-better-best packaging, discount policy, and margin math, with currency psychology for US, EU, SEA, and LATAM plus dropshipping markup and BE-ROAS. Trigger on 'pricing strategy', 'how much should I charge', 'should I raise prices', 'price tiers', 'customers say it is too expensive', 'dropshipping markup'. Also use when the product is not selling and the user suspects price is the reason. Not for — bonuses, guarantee, and value stack around the price, see `31-offer-design-global`; persuasion beyond price, see `16-marketing-psychology-global`; ad budget math, see `10-reverse-kpi-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 the user needs to choose and stand up marketing channels and the tech behind them — channel selection scoring, platform-by-platform setup checklists, business account and verification steps, and integrations, with region priorities: US Meta plus Google plus LinkedIn, EU adding Xing, SEA adding TikTok, Shopee, Lazada and LINE, LATAM adding WhatsApp Business and Mercado Libre. Trigger on 'channel setup', 'which platforms should we be on', 'set up Google Business Profile', 'marketing tech stack', 'we are starting from zero on social', 'connect our accounts'. Not for — conversion tracking and pixels, see `53-tracking-setup-global`; ad account hierarchy, see `52-account-structure-global`; the posting plan once channels exist, see `01-content-calendar-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 customers should bring other customers — one-way versus two-way incentives, reward structure and economics, trigger moments, referral messaging, tracking and attribution, fraud controls, and anti-spam compliance by region: TCPA for US, GDPR for EU, PDPA for SEA, LGPD for LATAM. Trigger on 'referral program', 'refer a friend', 'word of mouth', 'viral loop', 'how do I get customers to bring friends', 'affiliate rewards'. Also use when the user has happy customers and no system to use them. Not for — running your own community space, see `28-community-building-global`; posting inside third-party communities, see `38-community-seeding-global`; email flow mechanics, see `14-email-marketing-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 the user needs to work backward from a revenue goal to the numbers that produce it — required leads, max CPA and CPL, funnel conversion thresholds, and the budget that has to be spent, with three scenarios and currency handling for US, EU, SEA, and LATAM. Trigger on 'reverse KPI', 'how much budget do I need', 'what CPA can I afford', 'work backward from revenue', 'how many leads to hit target', 'break-even ROAS'. Also use when the user names a revenue target and asks whether it is realistic. Not for — splitting an existing budget across channels and months, see `61-budget-planning-global`; a full paid media plan, see `54-media-plan-global`; the period plan, 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

Use when the user needs an overall marketing plan for a period — objectives, segments, positioning, channel mix, content direction, budget, timeline, KPIs, and a risk matrix, adapted to US, EU, SEA, or LATAM. Trigger on 'marketing plan', 'marketing strategy for next year', 'go-to-market roadmap', 'plan for Q3', 'we have no marketing plan', 'where should we spend next quarter'. Also use when a founder only says the business needs to grow and has no idea which channel to start with. Not for — one specific campaign, see `02-campaign-brief-global`; working backward from a revenue goal to spend, see `10-reverse-kpi-global`; splitting a budget across channels and months, see `61-budget-planning-global`; taking a brand new product to market, see `59-go-to-market-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

gsd-note

無料

Use when the user says note this, jot this down, asks to list my notes, or wants a note promoted to a todo. Appends a timestamped note file in one Write with one confirmation line, no questions.

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。

coco-research/coco5912026年10月13日 更新

Propose transparent state updates for a virtual pet game. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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。

ruvnet/Bot-Generator-Bot5872026年9月11日 更新

Captures human source verification for tracks, timestamps it, and updates track files. Use when sources need human review before generation.

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。

bitwize-music-studio/claude-ai-music-skills5522026年10月14日 更新

출간 ready 직전 read-only critic. 8-item rubric 강제. 'looks good' rubber-stamp 금지. 라인 ref 필수. 2-round revision hard cap. '최종 QA', '출간 검수', 'rubric으로 평가' 류 트리거.

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。

kwakseongjae/oh-my-design5352026年10月13日 更新

Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED). Reacts to your workflow - happy when tests pass, sad when builds fail, excited during swarm mode. Deterministic species from user ID.

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。

vibeeval/vibecosystem5332026年8月9日 更新

Otonom PR yasam dongusu. PR olustur, CI bekle, hata varsa duzelt, review feedback'i uygula, merge'e hazirla. Budget ve zaman limiti ile kontrol altinda tutulan tam otonom PR pipeline'i.

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。

vibeeval/vibecosystem5332026年8月9日 更新

Redis caching strategies, cache invalidation, write-through/write-behind, TTL management, and cache stampede protection.

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。

vibeeval/vibecosystem5332026年8月9日 更新

Guide for optimizing MSBuild incremental builds. USE FOR: builds slower than expected on subsequent runs, 'nothing changed but it rebuilds anyway', diagnosing why targets re-execute unnecessarily, fixing broken no-op builds. Covers 8 common causes: missing Inputs/Outputs on custom targets, volatile properties in output paths (timestamps/GUIDs), file writes outside tracked Outputs, missing FileWrites registration, glob changes, Visual Studio Fast Up-to-Date Check (FUTDC) issues. Key diagnostic: look for 'Building target completely' vs 'Skipping target' in binlog. DO NOT USE FOR: first-time build slowness (use build-perf-baseline), parallelism issues (use build-parallelism), evaluation-phase slowness (use eval-performance), non-MSBuild build systems.

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。

managedcode/dotnet-skills4862026年10月13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

Turns a pile of ideas, requests and goals into a confidence-scored roadmap plus a goals/OKR set the team can actually follow. Use when someone says 'prioritize', 'what should we build next', 'roadmap', 'now next later', 'ICE or RICE', 'write our OKRs', 'quarterly planning', 'too many priorities' or 'sales keeps changing the plan'. Draws on 133 Lenny's Podcast guests including Itamar Gilad, Christina Wodtke and Janna Bastow.

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

Inspect a local or publicly accessible video through sampled scene frames, timestamps and a visual report, especially for motion and 3D reference 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。

witnesstodark/mr-mak-workspace4232026年10月11日 更新

Perform black-box / grey-box web application penetration testing on an authorized target — auth bypass, IDOR, session handling, business-logic flaws, parameter tampering, Burp Suite / OWASP ZAP workflows. Use when the user mentions 'web pentest,' 'web application penetration test,' 'pentesting,' 'bug bounty,' 'Burp Suite,' 'ZAP,' 'OWASP testing,' 'authentication testing,' 'session testing,' 'authorization testing,' 'business logic testing,' 'web vulnerability testing,' or has explicit authorization to test a live web application.

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。

briiirussell/cybersecurity-skills4192026年5月27日 更新

Transcription, recording management, and quote extraction. Use when processing audio/video or generating timestamped 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。

jamditis/claude-skills-journalism4182026年10月5日 更新

datamol

無料

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

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。

Microck/ordinary-claude-skills4052026年9月7日 更新

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

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。

Microck/ordinary-claude-skills4052026年9月7日 更新