kb

name

kb

description

Comprehensive skill for the `kb` CLI and the Karpathy Knowledge Base pattern. Covers the full KB lifecycle — topic scaffolding, multi-source ingestion (URLs, files, YouTube videos and channels, Instagram reels, bookmarks, codebases), wiki article compilation, cross-article querying with file-back, lint-and-heal passes, QMD indexing, and hybrid search. Also covers codebase-specific analysis via inspect commands for complexity, coupling, blast radius, dead code, circular dependencies, symbol/file lookups, backlinks, and code smells. Use when working with kb CLI commands, knowledge base workflows, code vault generation, code graph analysis, code metrics inspection, wiki compilation, or the ingest-compile-query-lint cycle. Do not use for general code review, linting, formatting, building Go projects, or writing application code.

kb CLI and Knowledge Base Pattern

Build and maintain a self-compiling Obsidian markdown knowledge base using the kb CLI. The LLM reads raw sources, writes cross-linked wiki articles, files Q&A results back into the corpus, and runs lint-and-heal passes. The CLI also supports codebase ingestion with deep inspection commands for code quality, architecture health, and symbol relationships.

Each topic lives in its own folder inside the Obsidian vault, either directly at the vault root (e.g. go-best-practices/) or nested by configured glob (e.g. harness/goclaw/). A topic contains raw/, wiki/, outputs/, and bases/ subtrees plus topic-level CLAUDE.md, topic.yaml, and log.md. All topics share a single Obsidian vault, commonly the repo root. Read references/architecture.md for the full rationale and the four-phase pipeline (ingest → compile → query → lint).

The topic's CLAUDE.md is the schema document and topic marker — it tells the LLM the scope, conventions, current articles, and research gaps for that topic. topic.yaml is the structured source of truth for topic metadata (slug, title, domain). AGENTS.md may symlink to CLAUDE.md for Codex parity, but the valid-topic marker is CLAUDE.md.

Prerequisites

1. Verify the kb binary is available:

   kb version
   

2. For search and index commands, verify QMD is installed:

   qmd --version
   # If missing: npm install -g @tobilu/qmd
   

3. Supported source languages for codebase analysis: TypeScript (.ts), TSX (.tsx), JavaScript (.js), JSX (.jsx), Go (.go).
4. For repo-root vaults, configure kb.toml at the vault root:

   [vault]
   root = "."
   topic_globs = ["*", "harness/*", "social-media/*"]
   

Pattern Overview

Based on Andrej Karpathy's LLM Wiki pattern, the KB treats the LLM as a compiler that reads raw source documents and produces a structured, cross-linked markdown wiki. The four-phase loop:

1. Ingest — Scrape/curate sources via kb CLI → raw/ (immutable staging)
2. Compile — LLM reads raw/, writes wiki/concepts/ articles (3000-4000 words, dense wikilinks)
3. Query — Q&A against wiki → file answers to outputs/queries/, promote strong answers to wiki
4. Lint — Automated structural checks + LLM-driven semantic healing

Read references/architecture.md for the full rationale, context-window vs RAG tradeoffs, and multi-topic vault design.

Related Skills

This skill orchestrates several companion skills for the LLM-driven phases:

• obsidian-markdown — author wiki articles with valid Obsidian Flavored Markdown (wikilinks, callouts, embeds, properties).
• obsidian-bases — create .base files under <topic>/bases/ for dashboard views, filters, and formulas.
• obsidian-cli — interact with the running Obsidian vault from the command line (open notes, search, refresh indexes).

kb CLI Quick Reference

Topic management

kb topic new <slug> <title> <domain>     # scaffold a new topic
kb topic list                             # list all topics in the vault
kb topic info <topic-id>                  # topic metadata (counts, last log entry)

Ingestion (auto-generates frontmatter, auto-appends to log.md)

kb ingest url <url> --topic <topic-id>        # scrape a web URL via Firecrawl
kb ingest file <path> --topic <topic-id>      # convert local file (PDF, DOCX, EPUB, HTML, images w/OCR, etc.)
kb ingest youtube <url> --topic <topic-id>    # extract a single YouTube transcript -> raw/youtube/
kb ingest channel <url> --topic <topic-id>    # bulk-extract a YouTube channel/playlist -> raw/youtube/
kb ingest instagram <url> --topic <topic-id>  # Instagram reel/video (caption + transcript) -> raw/instagram/
kb ingest bookmarks <path> --topic <topic-id> # ingest a bookmark-cluster markdown file
kb ingest codebase <path> --topic <topic-id>  # analyze a codebase into raw/codebase/

Use path-relative topic identifiers for nested topics, e.g. --topic harness/goclaw.

YouTube extraction uses raw/youtube/ as the canonical transcript directory. kb requires yt-dlp for metadata, captions, and audio extraction. Install or update yt-dlp when public captions fail before treating the issue as only a proxy/cookie problem:

[youtube]
yt_dlp_path = "yt-dlp"
proxy = "http://127.0.0.1:8080"
cookies_file = "/path/to/youtube-cookies.txt"
user_agent = "Mozilla/5.0 ..."
retry_attempts = 3
retry_backoff = "1s"
transcription = "captions" # captions | auto | stt

Use kb ingest youtube <url> --topic <topic-id> --transcribe auto to use manual captions when present and STT when only automatic captions or no captions are available. Use --transcribe stt to force STT. The old shortcut flag is intentionally unsupported.

YouTube transcript frontmatter includes video metadata from yt-dlp for filtering and ordering, including view_count, like_count, comment_count, upload_date, duration, duration_string, channel, channel_id, uploader_id, channel_follower_count, categories, youtube_tags, language, live_status, was_live, and chapter_count. Use youtube_tags for video keywords because tags is KB taxonomy; see references/frontmatter-schemas.md for null, list, and count behavior.

YOUTUBE_YT_DLP_PATH, YOUTUBE_PROXY, YOUTUBE_COOKIES_FILE, and YOUTUBE_USER_AGENT override the matching TOML values for local runs. The CLI reports blocked caption/audio requests as network_blocked; after confirming yt-dlp is installed and current, treat that as a network or auth configuration issue, not a missing-transcript issue.

YouTube channels and playlists

kb ingest channel <url> --topic <topic-id> bulk-extracts a YouTube channel or playlist into raw/youtube/, writing one document per upload with the same youtube-transcript frontmatter as single videos. Flags: --limit <n> (newest n; 0 = all), --all (every upload, overrides --limit), --concurrency <n>, --throttle <dur>, --dry-run (resolve and list videos without ingesting), and --transcribe captions|auto|stt. The worker-pool size, inter-request throttle, adaptive-backoff ceiling, and per-video retries default from [youtube].bulk_concurrency, [youtube].bulk_throttle, [youtube].bulk_backoff_max, and [youtube].bulk_retries. Single-video URLs are rejected — use kb ingest youtube for those.

Instagram ingestion

kb ingest instagram <url> --topic <topic-id> ingests Instagram reels, video posts (/p/), and IGTV (/tv/) into raw/instagram/ using the same yt-dlp + STT engine as YouTube. The document body is the post caption under a ## Caption heading followed by the spoken transcript under ## Transcript. When the audio yields no transcript (e.g. a music-only reel) it degrades to a caption-only document with transcript_source: none and no ## Transcript section.

[instagram]
yt_dlp_path = "yt-dlp"
proxy = ""
cookies_file = "/path/to/instagram-cookies.txt" # separate from YouTube — Instagram needs its own session
user_agent = ""
transcription = "auto" # captions | auto | stt (default auto: reels rarely carry caption tracks)
retry_attempts = 3
retry_backoff = "1s"

[instagram] mirrors the [youtube] yt-dlp knobs but keeps cookies separate because the two platforms need distinct authenticated sessions. Public reels often work without cookies, but Instagram rate-limits aggressively — set cookies_file (and optionally proxy) for reliable access. The default --transcribe is auto (manual caption when present, otherwise Whisper STT). Whole-profile bulk ingestion is out of scope because yt-dlp's instagram:user extractor is currently broken. Blocked requests are reported as network_blocked; remediate with [instagram].cookies_file / [instagram].proxy or a trusted network.

Layout migrations

kb migrate transcripts --topic <topic-id> # move legacy raw/transcripts/*.md into raw/youtube/

Codebase inspection

kb inspect smells [--type <smell-type>] --format json
kb inspect dead-code --format json
kb inspect complexity [--top N] --format json
kb inspect blast-radius [--min N] [--top N] --format json
kb inspect coupling [--unstable] --format json
kb inspect circular-deps --format json
kb inspect symbol <name> --format json
kb inspect file <path> --format json
kb inspect backlinks <name-or-path> --format json
kb inspect deps <name-or-path> --format json

Structural linting

kb lint [<topic-id>] [--save]             # dead links, orphans, missing sources, format violations, stale content

Indexing and search (requires QMD)

kb index --topic <topic-id>               # create or update QMD collection
kb search "<query>" --topic <topic-id>    # hybrid BM25 + vector search
kb search "<query>" --lex --topic <topic-id>  # keyword-only search
kb search "<query>" --vec --topic <topic-id>  # vector-only search

After running kb ingest or kb lint --save, the CLI auto-appends entries to <topic>/log.md. Manual log entries are still needed for compile, query, promote, and split operations (Procedure 5).

Command Dispatch

Map the user's intent to the correct command:

Intent	Command
Scaffold a new topic	kb topic new <slug> <title> <domain>
List all topics	kb topic list
Scrape a web URL	kb ingest url <url> --topic <topic-id>
Ingest a local file (PDF, DOCX, etc.)	kb ingest file <path> --topic <topic-id>
Extract a YouTube transcript	kb ingest youtube <url> --topic <topic-id>
Bulk-ingest a YouTube channel/playlist	kb ingest channel <url> --topic <topic-id>
Extract an Instagram reel/video	kb ingest instagram <url> --topic <topic-id>
Migrate legacy transcripts	kb migrate transcripts --topic <topic-id>
Ingest bookmark clusters	kb ingest bookmarks <path> --topic <topic-id>
Analyze a codebase	kb ingest codebase <path> --topic <topic-id> --progress never
Find code smells	kb inspect smells --format json
Find dead exports and orphan files	kb inspect dead-code --format json
Rank functions by complexity	kb inspect complexity --format json
Find high-impact symbols (blast radius)	kb inspect blast-radius --min 5 --format json
Find unstable files (coupling)	kb inspect coupling --unstable --format json
Find circular imports	kb inspect circular-deps --format json
Look up a specific symbol	kb inspect symbol <name> --format json
Look up a specific file	kb inspect file <path> --format json
Find what depends on X (incoming refs)	kb inspect backlinks <name-or-path> --format json
Find what X depends on (outgoing deps)	kb inspect deps <name-or-path> --format json
Run structural lint	kb lint <topic-id> --save
Index vault for search	kb index --topic <topic-id>
Search the knowledge base	kb search "<query>" --topic <topic-id> --format json

Codebase Analysis Workflow

For codebase-specific analysis, the kb ingest codebase command must run before any inspect command.

Workflow A -- Code Analysis (no QMD required):

kb ingest codebase <path> --topic <topic-id> --> kb inspect <subcommand>

Workflow B -- Full Pipeline (requires QMD):

kb ingest codebase <path> --topic <topic-id> --> kb index --> kb search <query>

On first run, kb ingest codebase uses the discovered vault from kb.toml or legacy .kb/vault/. If no vault marker is discoverable from the current working directory, it falls back to bootstrapping under <path>/.kb/vault/<topic-id>/. Later commands auto-discover kb.toml or .kb/vault/ from the current directory; otherwise pass --vault <path>.

Ingest a Codebase

kb ingest codebase <path> --topic <topic-id> --progress never

Always use --progress never in agent contexts to prevent TTY progress bars from corrupting stdout. Use --title and --domain only when bootstrapping a missing topic.

Parse the JSON output from stdout to extract key values:

• topicSlug -- the topic identifier for later commands
• vaultPath -- absolute path to the vault root
• topicPath -- absolute path to the topic directory
• filesScanned, filesParsed, symbolsExtracted -- summary statistics
• diagnostics -- check for warnings or errors

Stderr carries structured stage logs. Do not treat stderr content as failure evidence.

Key flags:

• --vault <dir> -- override vault root location
• --output <dir> -- deprecated alias for --vault
• --topic <topic-id> -- target topic id inside the vault; nested topics use a relative path such as harness/goclaw
• --title <value> -- bootstrap-only topic title override
• --domain <value> -- bootstrap-only topic domain override
• --include <pattern> -- re-include paths that would otherwise be ignored (repeatable)
• --exclude <pattern> -- exclude additional paths from scanning (repeatable)
• --semantic -- enable semantic analysis when adapters support it

Read references/cli-ingest-codebase.md for the full flag table and output schema.

Inspect the Vault

Run inspect subcommands to analyze code quality and architecture.

Shared flags for all inspect subcommands:

• --format json -- always use JSON for programmatic parsing
• --vault <path> -- explicit vault root (omit to auto-discover from cwd)
• --topic <topic-id> -- explicit topic id, including nested relative paths such as harness/goclaw (omit if only one topic exists)

Tabular Subcommands

These return a list of rows sorted by the primary metric:

1. smells -- List symbols and files with detected code smells.

   kb inspect smells --format json
   kb inspect smells --type high-complexity --format json
   

2. dead-code -- List dead exports and orphan files.

   kb inspect dead-code --format json
   

3. complexity -- Rank functions/methods by cyclomatic complexity. Default top 20.

   kb inspect complexity --format json
   kb inspect complexity --top 50 --format json
   

4. blast-radius -- Rank symbols by transitive dependent count.

   kb inspect blast-radius --format json
   kb inspect blast-radius --min 10 --top 20 --format json
   

5. coupling -- Rank files by instability (Ce / (Ca + Ce)).

   kb inspect coupling --format json
   kb inspect coupling --unstable --format json
   

6. circular-deps -- List files participating in circular import chains.

   kb inspect circular-deps --format json
   

Detail Lookup Subcommands

These return field-value pairs for a single matched entity:

7. symbol <name> -- Case-insensitive substring match. Returns detail fields for a single match, or a summary table for multiple matches.

   kb inspect symbol parseConfig --format json
   

8. file <path> -- Exact source path lookup. Use the source-relative path as stored in vault frontmatter.

   kb inspect file src/config.ts --format json
   

Relation Subcommands

These return relation edges (target_path, type, confidence):

9. backlinks <name-or-path> -- Incoming references. Accepts a symbol name or file path.

   kb inspect backlinks parseConfig --format json
   

10. deps <name-or-path> -- Outgoing dependencies. Accepts a symbol name or file path.

    kb inspect deps src/config.ts --format json
    

Read references/cli-inspect.md for all column schemas and flag details.

Index the Vault

Index the vault content into QMD for search. This step requires QMD on PATH.

kb index --topic <topic-id>

The command is idempotent: it checks whether the collection already exists and chooses add (create) or update (refresh) automatically.

Key flags:

• --embed (default true) -- run embedding after syncing files
• --force-embed -- force re-embedding all documents
• --context <text> -- attach human context to improve search relevance
• --name <name> -- override the derived collection name

Read references/cli-search-index.md for the full output schema.

Search the Vault

Search indexed vault content with QMD. Requires a prior kb index run.

kb search "<query>" --topic <topic-id> --format json

Search modes:

• Hybrid (default) -- combines lexical and vector search
• Lexical (--lex) -- BM25 keyword search only
• Vector (--vec) -- embedding-based semantic search

The --lex and --vec flags are mutually exclusive. Omit both for hybrid mode.

Key flags:

• --limit N (default 10) -- maximum results
• --min-score N -- minimum relevance threshold
• --full -- return full document content instead of snippets
• --all -- return all matches above the minimum score

Read references/cli-search-index.md for full details.

KB Maintenance Procedures

Procedure 1: Compile a wiki article

1. Read references/compilation-guide.md to anchor on length, style, wikilink density, and sourcing rules.
2. Identify candidate sources via kb search "<topic phrase>" --topic <topic-id> or read <topic>/wiki/index/Source Index.md.
3. Load the candidate raw sources fully into context.
4. Load <topic>/wiki/index/Concept Index.md for orientation on existing articles and wikilink targets (including in other topics).
5. Surface takeaways BEFORE drafting. Present to the user: 3-5 key takeaways from the sources, the entities/concepts this article will introduce or update, and anything that contradicts existing wiki articles. Ask: "Anything specific to emphasize or de-emphasize?" Wait for the response. Skip this step only if the user has explicitly asked for autonomous compilation.
6. Write the article to <topic>/wiki/concepts/<Article Title>.md following the obsidian-markdown skill for wikilink, callout, and frontmatter syntax. Use the frontmatter schema from references/frontmatter-schemas.md. Target 3000-4000 words with a Sources section, wikilinks to related articles, and code or diagram blocks where applicable.
7. Backlink audit -- do not skip. Grep every existing article in <topic>/wiki/concepts/ for mentions of the new article's title, aliases, or core entities. For each match, add a [[New Article]] wikilink at the first mention (and one later occurrence). This is the step most commonly skipped -- a compounding wiki depends on bidirectional links.

   grep -rln "<new article title or key term>" <topic>/wiki/concepts/
   

8. Update the topic's indexes (Procedure 2).
9. Update <topic>/CLAUDE.md current-articles list.
10. Re-index the topic's collection: kb index --topic <topic-id>.
11. Append an entry to <topic>/log.md (Procedure 5) -- e.g., ## [YYYY-MM-DD] compile | <Article Title> (<word_count> words, <N> sources).

When updating an existing article (rather than writing new), use the Current / Proposed / Reason / Source diff format and contradiction-sweep workflow described in references/compilation-guide.md.

Procedure 2: Maintain topic indexes

After adding, renaming, or removing any wiki article:

1. <topic>/wiki/index/Dashboard.md -- update article count, total word count, featured sections, and any Obsidian Base embeds (use the obsidian-bases skill to author .base files and embed them).
2. <topic>/wiki/index/Concept Index.md -- insert/update the article row alphabetically with its one-line summary.
3. <topic>/wiki/index/Source Index.md -- for each new article, append rows for every source it cites, with a wikilink back to the article.
4. Optionally refresh the live view in Obsidian with the obsidian-cli skill (obsidian open <path>, obsidian search <query>).

Procedure 3: Query the wiki and file back the answer

A query has two phases: Phase A produces the answer by reading the wiki (never from general knowledge); Phase B files the answer back so the exploration compounds.

Precondition: Identify which topic(s) the question belongs to. If the question spans topics, load each topic's Concept Index.

Phase A -- Answer from the wiki

1. Read the topic's Concept Index first (<topic>/wiki/index/Concept Index.md). Scan the full index to identify candidate articles. Do NOT answer from general knowledge -- the wiki is the source of truth, even when the answer seems obvious. A contradiction between the wiki and general knowledge is itself valuable signal.
2. Locate relevant articles. At small scale (<30 articles), the index is enough. At larger scale, supplement with kb search "<phrase>" --topic <topic-id>. Also grep the topic for keywords: grep -rl "<keyword>" <topic>/wiki/concepts/.
3. Read the identified articles in full. Follow one level of [[wikilinks]] when targets look relevant to the question. Stop at one hop -- deeper traversal wastes context.
4. (Optional) Pull in raw sources if an article's claim is ambiguous and its sources: frontmatter points at a specific raw file worth verifying.
5. Synthesize the answer with these properties:
   • Grounded in the wiki articles you just read -- every factual claim traces back to a [[Wiki Article]] citation.
   • Notes agreements and disagreements between articles when they exist.
   • Flags gaps explicitly: "The wiki has no article on X" or "[[Article Y]] does not yet cover Z".
   • Suggests follow-up ingest targets or open questions.
6. Match format to question type:
   • Factual → prose with inline [[wikilink]] citations.
   • Comparison → table with rows per alternative, citations in cells.
   • How-it-works → numbered steps with citations.
   • What-do-we-know-about-X → structured summary with "Known", "Open questions", "Gaps".
   • Visual → ASCII/Mermaid diagram, Marp deck (see references/tooling-tips.md), or matplotlib chart.

Phase B -- File back the answer

7. Save the answer to <topic>/outputs/queries/<YYYY-MM-DD> <Question Slug>.md with frontmatter: type: output, stage: query, informed_by: ["[[Article 1]]", "[[Article 2]]"]. See references/frontmatter-schemas.md for the full schema.
8. In the body, list which wiki articles informed the answer under informed_by: (as wikilinks) and call out new insights that should be absorbed back into those articles on the next compile pass.
9. When a filed-back insight contradicts or extends an article's claims, recompile the affected articles (Procedure 1).
10. Promote to wiki when the synthesis is durable. If the answer is a first-class reference (a comparison table, a trade-off analysis, a new concept synthesized from multiple articles), copy it to <topic>/wiki/concepts/<Title>.md following Procedure 1 standards and update the indexes (Procedure 2). Karpathy's pattern treats strong query answers as wiki citizens, not secondary artifacts.
11. Append to <topic>/log.md (Procedure 5) -- e.g., ## [YYYY-MM-DD] query | <Question Slug> plus a second line ## [YYYY-MM-DD] promote | <Title> if promoted.

Anti-patterns to avoid:

• Answering from memory -- always read the wiki pages. The wiki may contradict what you think you know.
• No citations -- every factual claim must trace back to a [[wikilink]].
• Skipping the save -- good query answers compound the wiki's value. Always file to outputs/queries/; promote when durable.
• Silent gaps -- surface missing coverage explicitly so the next ingest pass can fill it.

Procedure 4: Lint and heal

Run structural lint via the kb CLI:

kb lint <topic-id> --save

This checks dead wikilinks, orphan articles, missing source references, format violations, and stale content, saving a dated report to <topic>/outputs/reports/. For each issue, propose the fix with a diff before applying -- do not batch-apply changes:

• Dead wikilink -- either create the missing article (Procedure 1) or rewrite the wikilink to point at an existing article.
• Orphan article -- add incoming wikilinks from at least one related article, or remove the article if it is outside the topic's scope.
• Missing source file -- an article's sources: frontmatter references a file absent from raw/. Either re-ingest (kb ingest url/file) or correct the reference.
• Stale content -- article's updated: date is older than its source's scraped: date. Recompile with current sources.
• Format violation -- fix missing frontmatter fields, H1 title, lead paragraph, or Sources section.

For deeper LLM-driven self-healing checks (inconsistencies across articles, missing coverage, wikilink audits, filed-back query absorption), read references/lint-procedure.md.

After the heal pass, append ## [YYYY-MM-DD] lint | <N> issues found, <M> fixed to <topic>/log.md.

Procedure 5: Append to log.md

The kb CLI auto-appends log entries for ingest and lint --save operations. Manual entries are needed for compile, query, promote, and split operations.

Format -- each entry is a single H2 heading with a consistent prefix so the log stays grep-able:

## [YYYY-MM-DD] <op> | <short description>

Where <op> is one of compile, query, promote, or split (ingest and lint are handled by kb).

Examples:

## [2026-04-04] compile | Transformer Architecture (3847 words, 6 sources)
## [2026-04-04] query | 2026-04-04 flash-attention-vs-paged-attention.md
## [2026-04-04] promote | FlashAttention vs PagedAttention (from query)
## [2026-04-05] split | "Inference Optimization" → KV Cache, Speculative Decoding

Optionally add a body paragraph under each entry with more context (key findings, source urls, decisions made). Keep entries terse -- the log is for skimming, not prose.

Quick recent-activity check -- the consistent prefix lets unix tools query the log:

grep "^## \[" <topic>/log.md | tail -10                  # last 10 events
grep "^## \[.*compile" <topic>/log.md | wc -l            # total compiles
grep "^## \[2026-04" <topic>/log.md                      # April 2026 events

Keep log.md at the topic root (not inside wiki/ or outputs/) so it sits alongside CLAUDE.md as a first-class topic artifact.

Output Format Selection

All inspect and search commands support --format:

• json -- always use for programmatic parsing
• table -- human-readable aligned columns (default)
• tsv -- tab-separated for piping to Unix tools

The ingest codebase and index commands always output JSON to stdout.

Read references/output-formats.md for format examples and empty result handling.

Error Handling

CLI Errors

Error	Recovery
unable to find a vault from <path>	Run kb ingest codebase <path> --topic <topic-id> first, or re-run with --vault <path> if the vault lives elsewhere
YouTube caption extraction fails	Install/update yt-dlp or set [youtube].yt_dlp_path; for confirmed network_blocked, then configure proxy/cookies or use a trusted network
QMD is not available	Run npm install -g @tobilu/qmd
no topics were found	Run kb ingest codebase or kb topic new to populate the vault
multiple topics were found	Re-run with --topic <topic-id>
--title and --domain are bootstrap-only	Remove those flags when re-ingesting an existing topic
no symbols matched "<query>"	Use inspect smells or inspect complexity to discover valid names
no file matched "<path>"	Use exact source-relative path from vault frontmatter (e.g. src/config.ts not ./src/config.ts)

KB Workflow Errors

Error	Recovery
kb not found	Install the kb binary and ensure it is on PATH. Verify with kb version
Topic not found	Run kb topic list to see available topics, or scaffold with kb topic new
Article exceeds 4000 words	Extract a sub-topic into its own article and wikilink to it
Cross-topic wikilink ambiguity	Disambiguate with full path: [[other-topic/wiki/concepts/Article Name|Display Name]]
log.md missing in existing topic	Run any write operation that autocures the topic skeleton, or create manually and backfill from git: git log --format='## [%ad] <op> | %s' --date=short <topic>/

Read references/error-handling.md for the full error catalog with causes and recovery steps.

Constraints

MUST DO

• Run kb ingest codebase before any inspect command on that topic
• Use --format json when parsing output programmatically
• Use --progress never when running kb ingest codebase in a non-interactive context
• Parse stdout only for command output; treat stderr as diagnostics
• Use the topicSlug from ingest output for subsequent --topic flags; for nested topics this is the relative path
• Read references/compilation-guide.md before writing wiki articles
• Run backlink audits after every article compile (Procedure 1, step 7)
• File query answers to outputs/queries/ (Procedure 3)
• Append manual log entries for compile, query, promote, and split operations

MUST NOT DO

• Pass both --lex and --vec to search
• Pass --force-embed with --embed=false to index
• Treat stderr content as failure evidence for kb ingest codebase
• Assume vault location without running ingest or checking for kb.toml / .kb/vault/
• Use relative paths like ./src/config.ts for inspect file -- use src/config.ts instead
• Answer wiki queries from general knowledge -- the wiki is the source of truth
• Skip the backlink audit when compiling articles
• Batch-apply lint fixes without proposing diffs first