- Add model-aware vision tool loading based on supports_vision flag
- Move view_image_tool from config to builtin tools for dynamic inclusion
- Add timeout to image search to prevent hanging requests
- Optimize image search results format using thumbnails
- Add image validation for reference images in generation
- Improve error handling with detailed messages
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Update presentation generation with contemporary design styles
(glassmorphism, dark-premium, neo-brutalist, etc.) and add a new
deep-research skill to guide thorough web research before content
generation tasks.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Creates presentations by generating AI images for each slide and composing
them into PPTX files. Features include:
- Multiple presentation styles (business, academic, minimal, keynote, creative)
- Visual consistency through reference image chaining (each slide uses the
previous slide as reference)
- Speaker notes from presentation plan
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Use ThreadPoolExecutor to generate audio for multiple script lines
concurrently, significantly speeding up podcast generation.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Remove LLM script generation from Python script, model now generates
JSON script directly (similar to image-generation skill)
- Add --transcript-file option to generate markdown transcript
- Add optional "title" field in JSON for transcript heading
- Remove dependency on OPENAI_API_KEY for podcast generation
- Update SKILL.md with new workflow and JSON format documentation
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add podcast-generation skill for creating tech explainer podcasts
- Include generate.py script with TTS synthesis capabilities
- Add tech-explainer template for structured podcast content
- Increase sandbox command timeout from 30s to 600s to support
longer-running skill scripts
- Add environment field to sandbox config for injecting env vars into container
- Support $VAR syntax to resolve values from host environment variables
- Refactor frontend API modules to use centralized getBackendBaseURL()
- Improve Doraemon skill with explicit input/output path arguments
- Add .env.example file
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add type, url, and headers fields to MCP server config
- Update MCP client to handle stdio, sse, and http transports
- Add todos field to ThreadState
- Add Deerflow branding requirement to frontend-design skill
- Update extensions_config.example.json with SSE/HTTP examples
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implement a skills framework that enables specialized workflows for
specific tasks (e.g., PDF processing, web page generation). Skills are
discovered from the skills/ directory and automatically mounted in
sandboxes with path mapping support.
- Add SkillsConfig for configuring skills path and container mount point
- Implement dynamic skill loading from SKILL.md files with YAML frontmatter
- Add path mapping in LocalSandbox to translate container paths to local paths
- Mount skills directory in AIO Docker sandbox containers
- Update lead agent prompt to dynamically inject available skills
- Add setup documentation and expand config.example.yaml
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
