860건 · 관련도순
Prepare video URLs or local video files for GitHub Copilot analysis by extracting captions, sampled frames, contact sheets, and a prompt packet. Use when the user asks Copilot to watch, inspect, summarize, or diagnose a video, screen recording, demo, webinar, YouTube/Loom/TikTok/X/Vimeo URL, or .mp4/.mov/.mkv/.webm file.
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Handle professional audio tasks with recording, editing, mixing basics, formats, and loudness standards.
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Use when adding multimedia to PyQt/PySide6 apps - audio and video playback with QMediaPlayer, camera capture with QCamera and QMediaCaptureSession, audio/video recording with QMediaRecorder, GStreamer backend setup, or codec and platform compatibility issues
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Research, author, validate, render, and archive data-only Pulp Sample Heritage profiles. Use when creating or revising a sampler character profile, importing or exporting Heritage JSON, proving profile behavior with analytic and listening fixtures, recording evidence and trademark-safe provenance, or preparing a caller-owned profile artifact bundle.
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Drive running Unity Editor from shell to verify compiles, playmode, scenes, screenshots. Use when editing C# scripts, scenes, or assets in a Unity project and needing to: (1) check compilation succeeds, (2) read console errors, (3) enter/exit Play mode, (4) capture screenshots or frame recordings, (5) select objects or aim the Scene camera, (6) query editor window layout. Injects a file-polling command bridge (UnityRemote.cs) — prefer this over batchmode (fights the Library lock) or GUI automation.
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Use when turning an article, talk script, lesson, product demo, or narrated explanation into a recordable 16:9 web presentation with step-driven scenes, optional narration alignment, theme tokens, and screen-recording guidance; Chinese triggers include web video, dynamic demonstration, spoken script to video, screen-recordable demonstration, 16:9 demonstration.
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Design and document a marketing growth experiment. Use when the user says "run a growth experiment", "test this channel", "growth test", "I want to experiment with [channel]", "traction experiment", "acquisition experiment", "let's test if [channel] works for us", "bullseye framework", "which channels should we try", "run a traction test", or wants to systematically test a marketing or acquisition channel before committing budget. For page-level conversion hypotheses, see page-cro. For copy variants to test, see ab-copy-writer. For recording the result, see retro.
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AI ผู้ช่วยพากษ์/Voice Over — script, tone guide, character voice, pace marking, recording brief สำหรับ animation, โฆษณา, documentary, e-learning, audiobook
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Music production expert for recording, mixing, mastering, and DAW workflows
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Podcast expert covering recording, editing, hosting, promotion, and monetization strategies
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Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
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Use this skill when setting up Service Cloud Voice with Amazon Connect — provisioning the contact center, configuring phone numbers, enabling real-time transcription, and configuring After Conversation Work Time. Covers the deployable metadata behind it: CallCenter, ConversationVendorInfo (vendorType), CallCenterRoutingMap, the Voice ServiceChannel that carries ACW, ServicePresenceStatus, PresenceUserConfig, ServiceCloudVoice.settings, and the VoiceCall / VoiceCallRecording objects. Trigger keywords: Service Cloud Voice, Amazon Connect, contact center, softphone, call transcription, After Conversation Work, ACW, wrap-up time, VoiceCall, CallCenter metadata, vendorType, telephony provider. NOT for Omni-Channel routing setup — use admin/omni-channel-routing-setup. NOT for Open CTI softphone adapters — use apex/cti-adapter-development. NOT for Sales Dialer (Voice.settings) — that is a different product.
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Configuring or troubleshooting the Nonprofit Success Pack Program Management Module (PMM) - program delivery, cohort setup, service scheduling, service delivery recording, and attendance tracking for beneficiaries. Trigger keywords: program management module, PMM, Program__c, ProgramEngagement__c, ServiceDelivery__c, cohort setup, bulk service delivery, service schedule, service participant. NOT for designing which outcomes and indicators to measure - use admin/program-outcome-tracking-design. NOT for NPSP donor, household and giving-rollup data - use data/nonprofit-data-architecture.
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Use this skill when configuring, applying, or troubleshooting NPSP Engagement Plans — the framework that automatically generates standard Salesforce Task records on a timed schedule to guide donor stewardship and constituent outreach. Trigger keywords: engagement plan, donor stewardship tasks, NPSP task automation, engagement template, major donor follow-up. NOT for designing the cultivation and stewardship stages — use admin/fundraising-process-mapping. NOT for recording and receipting gifts — use admin/gift-entry-and-processing.
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Use when configuring grant tracking in a Salesforce nonprofit org: NPSP Outbound Funds Module (open-source outfunds managed package) or Nonprofit Cloud for Grantmaking (separate license). Trigger keywords: grant management, funding awards, disbursement tranches, grantmaking setup, OFM, FundingAward, FundingDisbursement, FundingAwardRequirement. NOT for recording donor gifts and receipts, use admin/gift-entry-and-processing. NOT for reporting program outcomes to a funder, use admin/program-outcome-tracking-design.
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Run a self-retrospective on a Skmtc-related session — generator authoring, CLI configuration, debugging, or any sustained interaction involving `@skmtc/core`, `@skmtc/cli`, or `@skmtc/gen-*` packages. Captures three distinct outputs: (1) friction entries (mistakes, surprises, overridden defaults, multi-cycle struggles), (2) a "knowledge acquired" block recording facts the agent learned during the session that weren't in its training — the primary signal for doc gaps — and (3) a closing priority list ranking the top 2-3 findings for docs/skills triage. Wins are logged only when they identify a pattern worth codifying that isn't already in a skill. Use this skill when the user asks to "retro", "skmtc retro", "log friction", "reflect on this session", "what did we learn", "run a retrospective", or after substantive Skmtc work (generator authoring, multi-step debugging, non-trivial CLI configuration) where capturing observations would help improve skills, docs, or Skmtc itself. Distinct from the `skmtc-cli` and `skmtc-generator` skills — those guide *doing* the work; this skill captures observations *about* the work. Do not invoke this skill during ordinary work; it is end-of- session (or mid-session-checkpoint) only.
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Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
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Manages the Morphir knowledge base under kb/ — OKF bundles and concept documents. Use when adding content to a bundle, creating a new bundle, checking the knowledge base for conformance or provenance drift, building or querying its SQLite index, managing intent through its lifecycle, recording or reading architectural decisions as Decision Records, or navigating, searching and listing its bundles, concepts and links.
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Record a narrated video of a feature running in the local dev app, for a PR or a stakeholder. Drives a headless Chrome over the DevTools Protocol so clicks and keystrokes are real, captures frames, and encodes an mp4 with no extra tooling installed. Use when the user asks to "record a video", "make a demo", "show this working", or wants a screen recording of a change.
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Use when recording, tallying, or triaging stochastic review findings — the append-only JSONL ledger where Tier 2 (advisory, unevidenced) reviewer output goes instead of blocking language. Triggers on "log this finding", "ledger add", "tally the findings", "triage findings", "is this finding recurring", "retire this noise", or whenever a reviewer produces an unevidenced concern that should be measured for recurrence rather than chased. For the review itself see code-review-and-quality or skill-library-review; for verifying formal claims with deterministic evidence see adversarial-claims-reviewer.
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Use when building Grafana dashboards backed by Prometheus, Loki, or Tempo, designing PromQL/LogQL queries, wiring template variables, setting alert rules, building SLO dashboards, or maintaining dashboards as code. Triggers: rate() vs increase() confusion, irate vs rate, label_replace, recording rules, alerting rule expressions, multi-dimensional template variables, ad-hoc filters, dashboard JSON model, provisioning via Terraform/grafonnet, p99 / histogram_quantile usage. NOT for Datadog/New Relic dashboards (vendor-specific), Grafana plugin development, or Loki ingestion pipeline tuning.
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Expert in turning data visualizations into compelling video and animation content for social media and marketing. Activate on: data commercial, animated chart, data storytelling video, chart animation, Remotion data video, Motion Canvas, Flourish animation, D3 animation, data viz social media, dashboard recording, data narrative video. NOT for: static data visualization (use data-viz-2025), general video editing (use video-processing-editing), full video production pipeline (use ai-video-production-master).
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Project documentation structure — standard proj-[name]/ layout with ADRs, stories, and operations guides. Use when: initializing docs for a new project, recording architecture decisions, or maintaining project knowledge bases.
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Continuous learning framework — learn from work, organize knowledge, build feedback loops. Use when: recording lessons, organizing knowledge, or setting up learning systems that persist across sessions.
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