Llm Knowledge Bases

---
name: llm-knowledge-bases
description: Inspired by a public workflow shared by Andrej Karpathy (@karpathy). Use when the user wants to check, repair, or grow a Markdown wiki backed by the LLM Knowledge Bases runtime: inspect wiki health, compile missing source notes, clean placeholder pages, add concept/entity/synthesis pages, answer questions from the wiki and file the result back, or run deterministic multimodal wiki lint.
---

# LLM Knowledge Bases

Use this skill to operate a Vault that is managed by the `LLM Knowledge Bases` runtime.

The operating model is:

- `raw/` stores captured source material from the outside world
- `wiki/sources/` stores compiled source notes
- `wiki/outputs/` stores archived answer notes
- `wiki/concepts/` stores durable concept pages
- `wiki/entities/` stores durable entity pages
- `wiki/syntheses/` stores cross-source synthesis pages
- `wiki/_indexes/` stores generated collection indexes
- `wiki/index.md` stores the generated home index
- `wiki/log.md` stores the generated run log page
- `.llm-kb/` stores runtime state
- `.llm-kb/representations/` stores runtime-managed OCR, vision, metadata, and profiling artifacts for non-text raw assets

The runtime owns Vault I/O.
The agent owns understanding, synthesis, linking, and deciding which pages the wiki should gain or improve.

## Important Model

- Treat the Vault as runtime-managed.
- Use `kb_*` tools for all Vault reads and writes.
- Never modify files under `raw/`.
- Never write directly into `wiki/` or `.llm-kb/representations/` with generic file tools.
- Never fabricate IDs, canonical paths, raw hashes, representation paths, or `source_refs`.
- For text and structured-data raw files, use the direct source compile path.
- For PDF and image raw files, use the representation-first path: bundle the asset context, create any missing representations, then compile the source note.
- When a source note summarizes a PDF or image, keep `asset_paths` accurate and include visible review notes, usually `# Visual Notes`, whenever the source depends on a human or model review pass outside the stored representation files.
- The goal is not only to answer questions.
- The goal is to leave the wiki better structured after each meaningful interaction.

## Required Tools

- `kb_status`
- `kb_list_raw`
- `kb_read_raw`
- `kb_get_raw_asset`
- `kb_prepare_source`
- `kb_prepare_source_bundle`
- `kb_prepare_representation`
- `kb_upsert_representation`
- `kb_read_representations`
- `kb_upsert_source_note`
- `kb_prepare_output`
- `kb_upsert_output`
- `kb_prepare_derived_note`
- `kb_upsert_derived_note`
- `kb_search`
- `kb_read_notes`
- `kb_map_gaps`
- `kb_promote_gap`
- `kb_repair_source_ids`
- `kb_rebuild_indexes`
- `kb_lint`

If these tools are unavailable, say so clearly instead of pretending the workflow can proceed.

## Natural-Language Entry Points

Users do not need to name canonical actions.
Map short natural-language requests to the closest workflow.
The explicit prefix `$llm-knowledge-bases` is recommended for maximum routing certainty, but it is not required when the request already clearly matches this skill.

- `check my wiki`, `look over my knowledge base`, `检查我的 wiki`, `总览检查`:
  run `kb_status` plus `kb_lint`, report counts, the top issues, and the best next step
- `fill missing source notes`, `continue the backlog`, `补缺失 source notes`, `继续推进这份库`:
  use `ingest-source`, call `kb_status`, then `kb_list_raw(changed_only=true)` with an explicit `limit` large enough for the batch, prioritize `missing_source_note`, honor directory/topic filters, compile in small batches, then `kb_rebuild_indexes`
- `clean up these pages`, `fix placeholder titles`, `只修 AI 相关内容`, `做一次维护清理`:
  use `maintain-wiki`, start with `kb_lint`, then use `kb_search` plus `kb_read_notes` to target placeholder titles, placeholder summaries, placeholder open questions, placeholder related links, stale navigation, and missing high-value derived pages
- `add concept pages`, `add entity pages`, `add synthesis pages`, `what pages are missing?`, `补 concept/entity/synthesis`:
  use `map-gaps`, search first, read the evidence, then call `kb_map_gaps`; use `kb_promote_gap` when a candidate can land directly, otherwise refine it through `kb_prepare_derived_note` plus `kb_upsert_derived_note`
- `repair source ids`, `repair manifest drift`, `修 source id / manifest 漂移`:
  run `kb_repair_source_ids` as a dry run first, explain the plan, apply only if the repair set looks correct, then `kb_rebuild_indexes`
- `answer this from the wiki and save it back`, `问答并沉淀成页面`:
  use `ask-and-file`, read the evidence first, then choose `output` for query-specific archives or `concept/entity/synthesis` for reusable knowledge

Important:

- honor explicit scope like `top 5`, `first 10`, `only AI-related`, `only raw/书评 1/`, or `do not modify yet`
- prefer small, high-confidence batches over giant rewrites
- for concept/entity/synthesis work, never create a derived page without first reading the supporting notes

## Chinese Intent Lexicon

Treat the following Chinese phrases as strong routing hints, even when the user does not mention tools or page types explicitly.

- `看一下`, `检查一下`, `盘一下`, `总览`, `扫一眼`, `先看看`:
  default to inspection-first behavior with `kb_status` plus `kb_lint`
- `先别改`, `先不要修改`, `只看不改`, `先给我报告`:
  do not call write tools; stay read-only unless the user later approves changes
- `补缺失`, `补 source`, `补书评`, `编译缺的`, `继续补 source note`:
  treat this as `ingest-source` focused on `missing_source_note`
- `整理一下`, `清理一下`, `修一下占位内容`, `只修 AI 相关内容`, `把这部分弄干净`:
  treat this as `maintain-wiki` with topic filters and placeholder cleanup
- `补概念页`, `补 entity`, `补 synthesis`, `沉淀成页面`, `把这个主题写成 page`:
  treat this as derived-page work; search first, read evidence, then use `kb_map_gaps` or direct derived-note creation
- `修漂移`, `修 source id`, `修 manifest`, `先 dry run`:
  route to `kb_repair_source_ids` with a dry run before any apply step
- `继续推进这份库`, `继续往前做`, `接着跑一轮`, `往前推进一批`:
  treat this as an incremental maintenance batch, not as an open-ended rewrite

## Continuation Defaults

When the user says `继续推进这份库` or an equivalent continuation request without enough scope detail, run a conservative default batch:

1. call `kb_status`
2. call `kb_list_raw` with `changed_only=true` and an explicit `limit`
3. call `kb_lint`
4. if a dominant topic filter is obvious from the user request, run `kb_search` on that topic and read the top evidence notes
5. choose one primary batch only:
   - compile a small batch of `missing_source_note` text raw files, or
   - repair a small batch of placeholder-heavy source notes
6. optionally add one high-confidence `concept`, `entity`, or `synthesis` page if the evidence is already strong
7. call `kb_rebuild_indexes`
8. report what changed, what still looks weak, and the next best batch

Do not silently expand an underspecified continuation request into a large multi-hour rewrite.

## Scenario Presets

Use these presets when a short request clearly matches one of the common recurring workflows.

### `ai-topic-cleanup`

Strong triggers:

- `整理一下 AI 相关内容`
- `只修 AI 相关`
- `补 AI 概念页`
- `把 AI 这部分做扎实`
- `继续推进 AI 主题`

Default topic cluster:

- `AI`
- `AIGC`
- `ChatGPT`
- `prompt engineering`
- `AGI`
- `AI hype vs real value`

Default batch:

1. call `kb_lint`
2. run topic-focused `kb_search`
3. read the top evidence notes with `kb_read_notes`
4. repair a small batch of placeholder-heavy source notes first
5. if evidence is already strong, add one high-confidence `concept`, `entity`, or `synthesis` page
6. call `kb_rebuild_indexes`

Priority order:

- placeholder source titles
- placeholder open questions
- placeholder related links
- missing high-value concept/entity/synthesis pages

### `book-review-batch`

Strong triggers:

- `补书评`
- `继续编译书评`
- `把书评编进 wiki`
- `书评批处理`
- `补书评 source notes`

Default scope:

- only `raw/书评 1/`
- text-readable raw files only
- prioritize `missing_source_note`

Default batch:

1. call `kb_status`
2. call `kb_list_raw(changed_only=true)` with an explicit `limit`
3. filter to `raw/书评 1/`
4. compile the first 10 eligible text raw files through `kb_prepare_source`, `kb_read_raw`, and `kb_upsert_source_note`
5. call `kb_rebuild_indexes`

Writing expectations:

- human-facing title, never `元数据`
- real `Summary`, `Key Points`, `Evidence`, `Open Questions`, and `Related Links`
- grounded only in the raw content actually read

### `continue-this-library`

Strong triggers:

- `继续推进我的这份库`
- `接着跑一轮`
- `再往前推进一批`
- `今天继续做这个库`

Default decision rule:

- if `missing_source_note` backlog is obviously dominant, prefer a small ingest batch
- otherwise if placeholder-heavy source notes are clearly dominant, prefer a small cleanup batch
- otherwise read evidence and add one high-confidence derived page

Default batch cap:

- up to 10 source-note compiles, or
- up to 5 placeholder repairs, or
- 1 derived page

Do not mix all three into one large batch unless the user explicitly asks for a broader sweep.

## One-Line Shortcuts

These are valid compact requests.
Treat them as sufficient instructions unless the user adds more scope.

- `用 $llm-knowledge-bases 检查一下我的 wiki，先别改。`
- `用 $llm-knowledge-bases 补书评前 10 个。`
- `用 $llm-knowledge-bases 整理一下 AI 相关内容。`
- `用 $llm-knowledge-bases 补 3 个 concept pages。`
- `用 $llm-knowledge-bases 修一下 source id 漂移，先 dry run。`
- `用 $llm-knowledge-bases 继续推进我的这份库。`

## Canonical Actions

Treat the following as the four canonical high-level actions for this skill.

### `ingest-source`

Use this when the user wants to ingest, compile, or refresh changed raw material.

Sequence:

1. call `kb_status`
2. call `kb_list_raw` with `changed_only=true`
3. for each changed raw file:
   - if the raw file is text or structured data:
     - call `kb_prepare_source`
     - call `kb_read_raw`
     - compile the raw content into one grounded source note
   - if the raw file is a PDF or image:
     - call `kb_prepare_source_bundle`
     - call `kb_get_raw_asset`
     - if `compile_readiness` is not `ready`, create the missing representation trail with:
       - `kb_prepare_representation`
       - `kb_upsert_representation`
     - call `kb_read_representations`
     - compile the source note from the raw metadata plus the reviewed representations
   - call `kb_upsert_source_note`
4. after the batch, call `kb_rebuild_indexes`
5. report what was compiled, what remains partial, and which raw assets still need representation work

Important:

- the actual LLM compile happens between the read/bundle steps and `kb_upsert_source_note`
- `kb_read_raw` is only for text-readable raw files
- PDFs usually become compile-ready once there is `native_text`, `ocr_text`, or `page_notes`
- images usually become compile-ready once there is `vision_notes`
- structured data is already text-readable, but `metadata` or `data_profile` can still improve later maintenance
- one raw file may later justify new `concept`, `entity`, or `synthesis` pages
- prefer incremental passes over giant rewrites

### `ask-and-file`

Use this when the user wants a grounded answer and the answer may deserve a durable artifact.

Sequence:

1. call `kb_search`
2. read only the most relevant notes with `kb_read_notes`
3. answer only from retrieved notes
4. decide the best write-back target:
   - use `kb_prepare_output` + `kb_upsert_output` for question-specific answer archives
   - use `kb_prepare_derived_note` + `kb_upsert_derived_note` when the answer should become a durable `concept`, `entity`, or `synthesis` page
5. call `kb_rebuild_indexes` if the wiki changed materially

Important:

- search before answering
- do not cite notes you did not read
- do not answer directly from non-text raw assets when the runtime already expects the grounded source note or stored representation trail
- choose `output` when preserving the exact query matters
- choose `concept/entity/synthesis` when the answer is reusable beyond the original query

### `maintain-wiki`

Use this when the user wants cleanup, organization, or a quality pass.

Sequence:

1. call `kb_lint`
2. inspect `wiki/index.md`, `wiki/log.md`, and the most relevant collection indexes with `kb_read_notes`
3. identify weak pages, missing derived pages, stale navigation, or grounding gaps
4. if source note ids, manifest entries, source note paths, or stored raw hashes have drifted, call `kb_repair_source_ids` first as a dry run and only apply it when the plan is correct
5. if the user wants fixes, repair narrowly through the appropriate `kb_*` write tools
6. call `kb_rebuild_indexes`

Important:

- prefer small targeted improvements
- keep source grounding visible
- use `concept/entity/synthesis` pages to absorb recurring structure instead of repeating the same reasoning in outputs
- treat `kb_lint` warnings as signals about wiki health, not only schema correctness
- pay special attention when `kb_lint` surfaces `missing_representation`, `representation_stale`, `unreviewed_asset_source`, stale source coverage, unresolved research gaps, unsupported claims, contradiction candidates, or missing high-value pages
- use `kb_repair_source_ids` for deterministic source-note/manifest repair instead of hand-editing ids, paths, or raw hashes

### `map-gaps`

Use this when the user wants to know what the wiki is missing.

Sequence:

1. call `kb_search`
2. read the relevant source, output, and derived pages
3. call `kb_map_gaps`
4. identify:
   - repeated ideas that deserve a `concept` page
   - repeated named items that deserve an `entity` page
   - cross-source themes that deserve a `synthesis` page
5. if the user wants the page landed immediately, call `kb_promote_gap` with the candidate `note_id`
6. otherwise propose the best next pages in priority order

Important:

- prefer candidates with stronger `source_refs` coverage
- use `kb_promote_gap` when a current candidate should be landed as-is into the wiki
- use the returned draft template as the starting point when you want to refine the page before calling `kb_upsert_derived_note`
- treat the returned suggested opening and evidence summary as scaffolding, not final prose

## Writing Rules

### Source Notes

Required frontmatter fields:

- `id`
- `type: source`
- `title`
- `raw_path`
- `raw_hash`
- `source_kind`
- `tags`
- `created_at`
- `updated_at`
- `status`

Strongly recommended frontmatter fields:

- `raw_kind`
- `mime_type`
- `asset_paths`

Required headings:

- `# Summary`
- `# Key Points`
- `# Evidence`
- `# Open Questions`
- `# Related Links`

Multimodal guidance:

- for PDF and image source notes, `asset_paths` should include the primary reviewed raw asset
- add `# Visual Notes` when the note depends on multimodal review details that are not already obvious from the stored representation files
- do not claim a non-text asset was reviewed if neither the representation trail nor the visible review notes support that claim

### Output Notes

Required frontmatter fields:

- `id`
- `type: output`
- `title`
- `query`
- `source_refs`
- `created_at`
- `updated_at`

Required headings:

- `# Answer`
- `# Sources Used`
- `# Follow-up Questions`

### Derived Notes

Derived pages are for durable wiki structure, not ephemeral chat residue.

Supported kinds:

- `concept`
- `entity`
- `synthesis`

Shared frontmatter fields:

- `id`
- `type`
- `title`
- `aliases`
- `source_refs`
- `tags`
- `created_at`
- `updated_at`
- `status`

Required headings by kind:

- `concept`: `# Summary`, `# Definition`, `# Key Points`, `# Evidence`, `# Open Questions`, `# Related Notes`
- `entity`: `# Summary`, `# Who or What`, `# Key Facts`, `# Evidence`, `# Open Questions`, `# Related Notes`
- `synthesis`: `# Summary`, `# Thesis`, `# Supporting Evidence`, `# Tensions`, `# Open Questions`, `# Related Notes`

Guidance:

- `concept` pages capture reusable ideas or frames
- `entity` pages capture named things that recur
- `synthesis` pages capture higher-level cross-source conclusions that should survive beyond any one query
- `synthesis` pages capture multi-source analysis, tradeoffs, or contested views
- keep `source_refs` aligned with real source notes

## Safety Boundaries

- Never modify files under `raw/`.
- Never use generic file-writing tools to modify `wiki/` directly.
- Never invent note IDs, output IDs, or paths.
- Never claim a write succeeded unless the runtime confirms it.
- Never bypass the runtime after a tool failure.

## Failure Handling

If a runtime tool fails:

- explain the failure plainly
- keep the user context intact
- propose the next executable step
- do not work around the error by writing directly to the Vault

## Language Policy

- Write outward-facing artifacts in English by default.
- Preserve original-language titles or quotes only when they materially matter.
- If the user explicitly wants another language, follow that request for the final artifact.

## Finish Standard

When you finish a task with this skill, report:

- what was ingested, answered, maintained, or mapped
- which `kb_*` tools were used
- which files were created or updated
- any unresolved ambiguity or weak evidence
- the best next one to three follow-up steps