LLM Knowledge Bases

AutoGineer overview, from the brain’s own files

The system operates by ingesting raw source documents from a raw folder. It then compiles these into an Obsidian vault containing summaries, backlinks, and indexes. Users can query the knowledge base at three levels of depth: quick, standard, or deep. The system also performs automated maintenance tasks like linting for broken links or orphans and provides tools for deep research, which involves generating outlines and deploying parallel agents to research specific topics. All outputs are saved to an output folder or integrated back into the wiki.

Install scripts (1)

• plugins/kb/setup.sh: sh plugins/kb/setup.sh · uses the network

Agent instructions that run or fetch something (44)

• plugins/kb/skills/kb-init/SKILL.md: After confirming the vault path, run the bundled setup script via Bash tool:
• plugins/kb/skills/kb-init/SKILL.md: The script is idempotent — safe to re-run.
• plugins/kb/skills/kb-init/SKILL.md: python -c "import pptx" 2>/dev/null && echo "python-pptx: available" || echo "python-pptx: not installed (needed for slide extraction)"
• plugins/kb/skills/kb-init/SKILL.md: python -c "import pandas" 2>/dev/null && echo "pandas: available" || echo "pandas: not installed (needed for dataset analysis)"
• plugins/kb/skills/kb-init/SKILL.md: When the user sets up Smaug (during init or later), save the install path here.
• plugins/kb/skills/kb-preferences/SKILL.md: If missing, tell the user to run `kb-init` and stop.
• plugins/kb/skills/kb-preferences/SKILL.md: | Invocation | Mode | Action | |---|---|---| | `/kb-preferences` (bare) | interactive | Show current prefs, ask what to update | | `/kb-preferences init` | init | Re-run the 5 init questions, regenerate all fields from style-guide + user answers | | `/kb-preferences update <field>` | up …[+30 chars]
• plugins/kb/skills/kb-preferences/SKILL.md: re-ask matching question or accept free-text | | `/kb-preferences add-note "..."` | add-note | Append the quoted string as a new line/paragraph under `notes:` | | `/kb-preferences reflect` | reflect-now | Run the reflection step against the current conversation explicitly | | `/kb-pref …[+164 chars]
• plugins/kb/skills/kb-preferences/SKILL.md: If missing, tell user to run `/kb-preferences init` first and stop.
• plugins/kb/skills/kb-preferences/SKILL.md: Confirm loudly: "This will replace all 9 fields with factory defaults and re-run the 5 init questions.
• plugins/kb/skills/kb/SKILL.md: If missing, tell the user to run `kb-init` and stop.
• plugins/kb/skills/kb/SKILL.md: Run `/kb-preferences init` to customize."
• plugins/kb/skills/kb/SKILL.md: After a compile or query finishes writing its output, run a **lightweight reflection step** — only propose preference updates for **high-confidence signals**:
• plugins/kb/skills/kb/SKILL.md: The user can run `/kb-preferences reflect` manually if they want a forced pass.
• plugins/kb/skills/kb/SKILL.md: Run lightweight reflection at the end.
• plugins/kb/skills/kb/SKILL.md: **Detection heuristic:** Run this check for each file:
• plugins/kb/skills/kb/SKILL.md: Please provide a transcript, or install: pip install openai-whisper"
• plugins/kb/skills/kb/SKILL.md: Try: `yt-dlp --write-auto-sub --sub-lang en --skip-download --output "/tmp/%(id)s" "<url>"` to get subtitles · uses the network
• plugins/kb/skills/kb/SKILL.md: Try extracting with python-pptx: `python -c "from pptx import Presentation;
• plugins/kb/skills/kb/SKILL.md: For Parquet: `python -c "import pandas as pd;
• plugins/kb/skills/kb/SKILL.md: Run lightweight reflection at the end (after the answer is delivered;
• plugins/kb/skills/kb/SKILL.md: Run the appropriate pipeline.
• plugins/kb/skills/kb/SKILL.md: Run the graph health script if available:
• plugins/kb/skills/kb/SKILL.md: python plugins/kb/scripts/graph_health.py "<vault_path>" --json --fix-suggestions
• plugins/kb/skills/kb/SKILL.md: Run the evaluation script if available:
• plugins/kb/skills/kb/SKILL.md: python experiments/evaluate.py "<vault_path>" --json
• plugins/kb/skills/kb/SKILL.md: If user approves, execute the improvements
• plugins/kb/skills/kb/SKILL.md: Re-run evaluation to measure improvement
• plugins/kb/skills/kb/SKILL.md: Run: `npx smaug fetch <tweet_id>` then `npx smaug process`
• plugins/kb/skills/kb/SKILL.md: **Install Smaug** (recommended) — `git clone https://github.com/alexknowshtml/smaug && cd smaug && npm install`, then `npx smaug setup` to configure X session cookies (`auth_token` + `ct0` from browser DevTools → Cookies → x.com). · uses the network
• plugins/kb/skills/kb/SKILL.md: After setup, **save the install path to `kb.yaml`** under `integrations.smaug.path`.
• plugins/kb/skills/kb/SKILL.md: Try to fetch transcript: `yt-dlp --write-auto-sub --sub-lang en --skip-download --output "/tmp/%(id)s" "<url>" 2>&1` · uses the network
• plugins/kb/skills/kb/SKILL.md: If yt-dlp not installed: try `pip install yt-dlp` then retry
• plugins/kb/skills/kb/SKILL.md: Extract video metadata: `yt-dlp --dump-json "<url>" 2>/dev/null | python -c "import sys,json; · uses the network
• plugins/kb/skills/kb/SKILL.md: On the next `/kb compile` run (for compile-time context searches)
• plugins/kb/skills/kb/SKILL.md: Forgetting to dispatch the auto-evolve subagent after a query -- it must always run, even if it usually exits silently
• plugins/kb/skills/research-add-items/SKILL.md: Execute simultaneously:
• plugins/kb/skills/research-deep/SKILL.md: Execute in batches by batch_size (need user approval to proceed to next batch after completing one)
• plugins/kb/skills/research-deep/SKILL.md: After completing JSON output, run validation script to ensure complete field coverage:
• plugins/kb/skills/research-deep/SKILL.md: python ~/.claude/skills/research/validate_json.py -f {fields_path} -j {output_path}
• plugins/kb/skills/research-deep/SKILL.md: After completing JSON output, run validation script to ensure complete field coverage:
• plugins/kb/skills/research-deep/SKILL.md: python ~/.claude/skills/research/validate_json.py -f /home/weizhena/AIcoding/aicoding-history/fields.yaml -j /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json
• plugins/kb/skills/research-report/SKILL.md: **If `kb.yaml` itself is missing:** tell the user to run `kb-init` and stop.
• plugins/kb/skills/research-report/SKILL.md: Run `python {topic}/generate_report.py`