From llm-wiki
Use when the user invokes /llm-wiki:ingest or asks to ingest a source into an OKF bundle. Detects source type, routes to the right adapter, runs the supervised ingest loop.
How this skill is triggered — by the user, by Claude, or both
Slash command
/llm-wiki:ingestThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Entry point for the supervised ingest loop. Detects the source type and delegates to the appropriate adapter skill.
Entry point for the supervised ingest loop. Detects the source type and delegates to the appropriate adapter skill.
/llm-wiki:ingest <source> [--auto]
/llm-wiki:ingest <source1> <source2> ... [--auto]
--auto: skip review pauses; fan out across all sources; one review at the end.
| Input | Routes to |
|---|---|
project.dataset (contains exactly one .) | ingesting-bigquery |
URL starting with http:// or https:// | ingesting-web |
| Local path to a file or directory | Direct read → authoring-concepts |
seeds.txt or seeds.example.txt | ingesting-web (file of seed URLs) |
See ingesting-sources skill for the full supervised loop. Summary:
okf-concept-enricher subagents (one per concept)/llm-wiki:index and /llm-wiki:log--autoSkip pauses. Fan out all enrichers concurrently. Present one consolidated review at the end. Use when you trust the source and want unattended batch processing.
Always remind the owner to:
/llm-wiki:index — regenerate index.md files
/llm-wiki:log — record what was ingested
/llm-wiki:validate — confirm conformance
npx claudepluginhub mlarkin00/plugins --plugin llm-wikiGuides creation and editing of skills using test-driven development with pressure scenarios and subagents to verify agent compliance.
Creates platform-native content for X, LinkedIn, TikTok, YouTube, and newsletters from source material. Adapts voice and format per platform while avoiding engagement bait and filler.