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Found 10,129 Skills
A disciplined diagnostic loop for tricky bugs and performance regressions. Reproduce → Minimize → Hypothesize → Instrument → Fix → Regression-test. Use this when the user says "diagnose this" / "debug this", reports a bug, states that something is broken/throwing errors/failing, or describes a performance regression.
Slack workspace management and automation specialist
Package a TeX/LaTeX project into a clean tarball or zip for arXiv upload: file selection, build-artifact exclusion, 00README.XXX generation, ancillary file organization, archive validation. Triggers on: "package for arXiv", "create arXiv tarball", "bundle submission", "zip for arXiv", "prepare arXiv upload", "arXiv submission archive". Companion to arxiv-preflight and arxiv-figures.
Rise integration. Manage Users, Organizations, Leads, Pipelines, Filters. Use when the user wants to interact with Rise data.
Install one or more agent skills into the current repository with the skills CLI. Use when adding, refreshing, or restoring project-local skills, when a user names a skill source, or when a repository needs shared skills installed without mutating global agent state.
Use this skill when the user says phrases like "get transcript", "transcribe video", "extract script", "help me extract it", "what does this video say", "what did this blogger say", or directly provides a video link requesting content extraction. Even if the user only sends a video link without stating their request, proactively trigger this skill if the context involves benchmark analysis or content extraction. Call video2text.py to obtain the raw transcript, use AI to correct common speech recognition errors, identify the author, and archive it to the benchmark blogger directory. Do NOT trigger for: analyzing viral content patterns (use li-analyzer), recording own topic ideas (use li-recorder), writing own scripts (use li-writer). Use when the user wants to "get transcript", "transcribe video", "extract script", or gives a video link for content extraction. Runs speech-to-text, AI proofreads, and archives to benchmark blogger directory.
Terminal AI agent CLI for Google Gemini and Antigravity models with slash commands, MCP server support, and coding assistance
Use when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or talking-head topic video from a topic — even if they don't say "video podcast" explicitly. Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
After solving a non-trivial problem, detect generalizable learnings and propose skill updates. Always active — applies to every interaction.
Pre-commit review: security scan, quality gates, auto-fix.
Generate matching visuals from text via Picsart gen-ai.