How richardeve1997/content-intelligence-kit works
Content Intelligence Kit is an agent-driven toolkit for researching creators and producing short-form videos in a creator’s brand and voice, then preparing or scheduling posts. Its main journey runs from onboarding and research through either a talking-head UI story or a faceless mini-me video, then review and posting. The graph combines documented product stages with sampled Python orchestration and module references; several editing and quality-check details are documented but their implementation was not sampled.
Main entry points: pipeline.py Research run · __main__.py Character workflow · store.py Character files · onboarding.py Onboarding
Components 24
Creator setup
- Onboarding
kit/onboarding.py - Brand and voice
kit/brand.py - Creator profile
kit/config.py
Content research
- Research run
kit/research/pipeline.py - Creator sources
kit/research/scrape.py - Performance scoring
kit/research/performance.py - Video ranking
kit/research/rank.py - Research report
kit/research/report.py - Idea hooks
kit/research/ideas.py
Video creation
- UI story edit
kit/finish.py - Media processing
kit/media.py - Mini-me video
kit/character/pack.py
Mini-me character
- Character workflow
kit/character/__main__.py - Image providers
kit/character/providers.py - Sprite and poses
kit/character/poses.py - Face states
kit/character/faces.py - Character files
kit/character/store.py
Review and posting
- Quality review
kit/qa_captions.py - Platform captions
kit/post/captions.py - Post scheduler
kit/post/schedule.py - Zernio service
kit/zernio.py - Social platforms
Other components
- Creator
- Code agent
Connections 28
- Creator → Code agent: requests work
README.md - Code agent → Onboarding: starts setup
README.md - Onboarding → Brand and voice: learns brand
kit/onboarding.py - Onboarding → Creator profile: configures
kit/onboarding.py - Code agent → Research run: runs research
README.md - Research run → Creator sources: gathers posts
kit/research/pipeline.py - Research run → Performance scoring: gets results
kit/research/pipeline.py - Research run → Video ranking: scores videos
kit/research/pipeline.py - Research run → Research report: writes report
kit/research/pipeline.py - Code agent → Idea hooks: requests hooks
README.md - Code agent → UI story edit: edits raw take
README.md - UI story edit → Media processing: processes media
kit/finish.py - Code agent → Character workflow: builds character
README.md - Character workflow → Image providers: requests images
kit/character/__main__.py - Character workflow → Sprite and poses: builds poses
kit/character/__main__.py - Character workflow → Face states: builds faces
kit/character/__main__.py - Character workflow → Character files: records progress
kit/character/__main__.py - Sprite and poses → Character files: loads state
kit/character/poses.py - Face states → Character files: loads state
kit/character/faces.py - Code agent → Mini-me video: renders style
README.md - Mini-me video → Character files: uses character
kit/character/pack.py - UI story edit → Quality review: checks edit
README.md - Mini-me video → Quality review: checks video
README.md - Code agent → Platform captions: prepares captions
README.md - Platform captions → Post scheduler: supplies captions
kit/post/__init__.py - Code agent → Post scheduler: schedules post
README.md - Post scheduler → Zernio service: dispatches posts
kit/post/schedule.py - Zernio service → Social platforms: publishes to
README.md