Agent Skills: summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
ID: Jst-Well-Dan/Skill-Box/summarize
84
Install this agent skill to your local
Skill Files
The files that make up summarize.
Loading file tree…
More agent skills
- workflow-test-fixUnified test-fix pipeline combining test generation (session, context, analysis, task gen) with iterative test-cycle execution (adaptive strategy, progressive testing, CLI fallback). Triggers on "workflow-test-fix", "test fix workflow".
- plan-updateUse when you need to update a plan document with deep research across all compiler passes. Launches parallel subagents to analyze how a topic affects every compiler phase, then consolidates findings into the plan doc.
- model-managementAdd, update, rename, reroute, price, or remove Pollinations text, image, video, audio, embeddings, realtime, OCR, SVG, and 3D models. Use for model research, provider changes, capability or public-endpoint edits, and model PRs.
- astropyCore Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
- codeqlComprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.
- domain-mlUse when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理