Generate HeyGen presenter videos via the v3 Video Agent pipeline — handles Frame Check (aspect ratio correction), prompt engineering, avatar resolution, and voice selection. Required for any HeyGen video generation. Replaces deprecated endpoints with v3. Use when: (1) generating any HeyGen video (via API or otherwise), (2) sending a personalized video message (outreach, update, announcement, pitch, knowledge), (3) creating a HeyGen presenter-led explainer, tutorial, or product demo with a human face, (4) "make a video of me saying...", "send a video to my leads", "record an update for my team", "create a video pitch", "make a loom-style message", "I want to appear in this video", "generate a HeyGen video", "make a talking head video". Accepts avatar_id from heygen-avatar for identity-first HeyGen videos, or uses a stock presenter. Returns video share URL + HeyGen session URL for iteration. Chain signal: when the user wants to create/design an avatar AND make a video in the same request, run heygen-avatar first, then return here. Conjunctions to watch: "and then", "and immediately", "first...then", "X and make a video", "design [presenter] and record" = always CHAIN. If the user provides a photo AND wants a video, route to heygen-avatar first. NOT for: avatar creation or identity setup (use heygen-avatar first), cinematic footage or b-roll without a presenter, translating videos, TTS-only, or streaming avatars.
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。
heygen-com/skills☆ 4822026年7月15日 更新
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-fable☆ 4712026年7月20日 更新
Use when reviewing, designing, or modifying Java enterprise systems that expose, exchange, store, process, export, or port data across users, businesses, connected products, cloud providers, APIs, event streams, AI data pipelines, data spaces, or SaaS platforms and need EU Data Act engineering controls. This should trigger for requests such as Review a Java platform for EU Data Act controls; Design data access and portability evidence; Add data-sharing request workflows, export formats, interoperability, metadata, audit logs, cloud-switching support, non-personal data safeguards, or trade-secret handoffs; Assess Data Act engineering readiness before production release. Part of Plinth Toolkit
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。
jabrena/plinth☆ 4502026年10月13日 更新
Use when reviewing, designing, or modifying Java enterprise systems that process personal data and need GDPR-aware engineering controls. This should trigger for requests such as Review a Java service for GDPR privacy controls; Design data-subject rights workflows; Add retention, deletion, pseudonymization, or privacy-safe logging; Assess data transfer, DPIA, breach evidence, or processor/controller boundary concerns before production release. Part of Plinth Toolkit
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。
jabrena/plinth☆ 4502026年10月13日 更新
Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.
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-skills☆ 4442026年3月19日 更新
Constructive critique via 5 HackerNews personas with claim validation.
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。
notque/vexjoy-agent☆ 4412026年10月13日 更新
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
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。
aiskillstore/marketplace☆ 4332026年10月14日 更新
This skill should be used when someone wants to articulate, explore, or document their personal worldview, values, or philosophy. Triggers on "articulate my values", "figure out what I believe", "document my philosophy", "write a manifesto", "define my leadership philosophy", "explore my beliefs". Surfaces beliefs through systematic interrogation, identifies tensions, and generates narrative outputs.
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。
aiskillstore/marketplace☆ 4332026年10月14日 更新
Personalize COG for your workflow - creates profile, interests, and watchlist files with guided setup (run this first!)
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-skills☆ 4062026年9月7日 更新
Expert guidance for GA4 privacy and compliance including GDPR, CCPA, Consent Mode v2, data deletion, and privacy settings. Use when implementing Consent Mode, ensuring GDPR compliance, handling data deletion requests, configuring consent banners, or implementing privacy-first tracking. Covers consent parameters (ad_user_data, ad_personalization), data retention, IP anonymization, and compliance 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。
Microck/ordinary-claude-skills☆ 4062026年9月7日 更新
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
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-skills☆ 4062026年9月7日 更新
Use when escalating privileges on a Windows host — SeImpersonate Potato chains (GodPotato/PrintNotifyPotato), service & DLL hijacking, UAC bypass (fodhelper/ICMLuaUtil), kernel EoP + BYOVD (CVE-2025-29824), token-rights abuse, LSASS/SAM/DPAPI credential harvesting
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。
hypnguyen1209/offensive-claude☆ 3912026年9月28日 更新
Use when attacking AWS/Azure/GCP cloud — IAM/identity privilege escalation, IMDS/metadata SSRF, Entra device-code & PRT theft, GCP impersonation chains, Kubernetes/container escape, IaC/CI-CD federation abuse
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。
hypnguyen1209/offensive-claude☆ 3912026年9月28日 更新
Use when crossing a Windows security boundary or escaping a sandbox — kernel/user crossing (win32k/dxgkrnl UAF CVE-2025-24983), BYOVD kernel R/W, UAC/COM elevation, AppContainer/LPAC & Chromium-Mojo sandbox escape (CVE-2025-2783), PPL bypass, RPC/ALPC & named-pipe impersonation
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。
hypnguyen1209/offensive-claude☆ 3912026年9月28日 更新
Produce a scored heuristic critique of the UI using Nielsen's 10 + 6 design laws + optional persona walkthroughs. Outputs a machine-parseable scorecard plus a 0-100 UsabilityScore (the judged companion to the deterministic UICraftScore). Invoke when the user asks for heuristic on their UI, or mentions 'heuristic' alongside design / UI / frontend work.
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。
educlopez/ui-craft☆ 3852026年10月14日 更新
Delight pass — adds one or two memorable micro-interactions (copy specificity, hover choreography, state transitions, one signature detail) without decoration or confetti. Use when the UI works but feels generic, or when the user says "make it feel special" / "add some personality". Invoke when the user asks for delight on their UI, or mentions 'delight' alongside design / UI / frontend work.
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。
educlopez/ui-craft☆ 3852026年10月14日 更新
Extract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent 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。
Asymmetric-al/core☆ 3812026年10月12日 更新
Find chats by name, read or search WeChat messages with the local GreenBubbles CLI. Use for bounded live or snapshot queries; route setup problems to greenbubbles-setup and maintained notes to greenbubbles-personal-memory.
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。
bojieli/greenbubbles☆ 3792026年10月3日 更新
Display shinkoku's current capabilities, supported personas, and known limitations. Use when the user asks "what can you do?", "what's supported?", or similar 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。
kazukinagata/shinkoku☆ 3652026年9月9日 更新
When the user needs to build a LinkedIn authority system, create social content strategy, define content pillars, write posts, or establish thought leadership positioning. Activate on "LinkedIn strategy," "content pillars," "what should I post," or "build my personal brand."
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。
shawnpang/startup-founder-skills☆ 3532026年3月17日 更新
Frame problems using JTBD Job Stories, HMW questions, and persona validation
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。
WellApp-ai/Well☆ 3452026年10月15日 更新
Align phases with GTM strategy, persona tiers, and KPI targets
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。
WellApp-ai/Well☆ 3452026年10月15日 更新
Analyze roster fit and personality dynamics. Leadership assessment, role clarity, locker room culture, trade/signing 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。
OneWave-AI/claude-skills☆ 3432026年10月2日 更新
Generate 30+ LinkedIn posts that attract your target prospects. Creates industry insights, thought leadership, engagement prompts, and comment strategies. Use when building personal brand to attract inbound leads through social selling.
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。
OneWave-AI/claude-skills☆ 3432026年10月2日 更新