Monitor raw directories for new files and queue them for controlled ingestion.
npx skills add https://github.com/surebeli/AK-llm-wiki --skill wiki-watch
Please help me install this Agent Skill. Skill: wiki-watch Source: https://github.com/surebeli/AK-llm-wiki/tree/main/plugin/skills/wiki-watch Command: npx skills add https://github.com/surebeli/AK-llm-wiki --skill wiki-watch
This Skill addresses the challenge of manually tracking new files in raw sources and ensuring timely ingestion into the knowledge base.
Use the wiki-watch skill to monitor your raw data directories and manually process queued files when ready.
High-intent search queries and answers about installing and using this skill.
To automate file monitoring, this Skill polls specified raw directories for new or modified files and automatically queues them for controlled ingestion, preventing manual tracking errors in research workflows.
Controlled file ingestion is a queue management process that captures new files automatically but requires explicit user actions to drain, process, or remove items, preventing accidental knowledge base updates.
You queue raw content files by dropping new articles or transcripts into a monitored directory, then using the drain command to selectively process and ingest relevant materials into your wiki.
No external dependencies are required to run the Python directory polling scripts, as the Skill relies on its internal scripts and references for queue management and process control without explicit external packages.
Yes, automated file detection is suitable for research content curation workflows because it watches specified directories for new materials and queues them for deliberate review before processing into the knowledge base.
Queue management prevents accidental ingestion by holding newly detected files in a queue until you issue deliberate drain or remove commands, ensuring only reviewed content enters the knowledge base.
LopeWaleSeed source files into the processing queue with validation and archiving.
rijnbConvert raw notes, VTT, EML, and HTML files into Markdown with provenance metadata.
ElliotJLTExtract YouTube video transcripts into timestamped Markdown files with metadata.
DergaczCreate a standardized project context directory with change tracking and documentation folders.
