meta-knowledge-base-bootstrap
Bootstrap a domain knowledge base from a single seed (URL / PDF path / git repo / free-text topic): classify source → ingest with the right tool → persist to memory + xlsx index.
Profile →npx skills add opensquilla/opensquilla --skill meta-knowledge-base-bootstrap --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Knowledge Base Bootstrap (Meta-Skill) Seed a domain knowledge base in one turn. The pipeline classifies the seed source type (URL / PDF / GIT / TEXT) and ingests it via the `multi-search-engine` skill, then persists the report and produces an index. | step | kind | skill | what it does | |------------|---------------|------------------------|---------------------------------------------| | classify | `llm_classify`| — | label the seed as one of `URL / PDF / GIT / TEXT` | | ingest | `skill_exec` | `multi-search-engine` | run a DuckDuckGo search (JSON to stdout) | | memorize | `tool_call` | — (`memory_save`) | append the ingestion summary to memory | | index | `agent` | `xlsx` | write `kb-index.xlsx` with the result table | > The classifier is currently informational only — the ingest step always > calls `multi-search-engine`. A previous design routed `PDF → pdf-toolkit` > and `GIT → github`, but those branches were dropped when the DSL moved to > `skill_exec`. A follow-up will reintroduce per-classification routing once > the corresponding bundled skills also expose `entrypoint:` manifests. ## Fallback If the meta-flow fails: run the classifier prompt manually, then invoke the app
- Fallback
What does the meta-knowledge-base-bootstrap skill do?
Bootstrap a domain knowledge base from a single seed (URL / PDF path / git repo / free-text topic): classify source → ingest with the right tool → persist to memory + xlsx index.
How do I install it?
Run `npx skills add opensquilla/opensquilla --skill meta-knowledge-base-bootstrap --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.