Wiki Ingest

Wiki-Ingest — LLM-Wiki Maintenance Layer

Purpose: Turn raw sources into nodes of a compounding knowledge base, not isolated summaries. Karpathy's llm-wiki pattern says: each new source must (a) get its own summary page AND (b) touch 10–15 other pages — concept pages, entity pages, the index, the log. summarizing-meetings already produces excellent single-file summaries; this skill is the maintenance layer that wires those summaries into a living wiki.

The skill enforces three invariants:

1. Raw layer is immutable — sources are read, never modified.
2. Wiki layer is LLM-owned and additive — pages get richer over time, prior content is never silently overwritten.
3. Every claim on a concept/entity page traces back to a source via footnote citation. An auditable wiki at 50 ingests, not a noise pile.

1. Red Flags (Anti-Rationalization)

STOP and READ THIS if you are thinking:

• "I'll just create the summary, the user can update concepts themselves" → WRONG. That's exactly the maintenance burden llm-wiki is designed to remove. Without page upserts the [[wiki-links]] stay dangling and the vault never compounds. Always do the full ingest cycle.
• "The existing concept page is short, I'll rewrite it cleaner" → WRONG. Concept pages are additive. You append new facts under existing ones with footnote citations. Rewriting destroys the audit trail and silently drops prior sources' contributions.
• "These two facts disagree, I'll pick the newer one" → WRONG. Mark with a ⚠️ Contradiction: block citing both sources. The operator decides — your job is to surface, not silently resolve.
• "I'll skip the log entry, the user can see what changed from git" → WRONG. log.md is grep-friendly chronological memory for the LLM in future sessions. Git diffs are for humans; the log is for you, next time.
• "WIKI_SCHEMA.md isn't there, I'll improvise conventions" → WRONG. Run wiki_ops.py init to scaffold it from the bundled template, then read it. Improvised conventions diverge across ingests and break the wiki.
• "The source has no obvious concepts, I'll create a summary and skip upserts" → WRONG. Every source has at least 2–3 concepts/entities worth a page. Re-read; if you genuinely find none, ask the operator before proceeding.
• "I'll call summarizing-meetings without telling it what concepts already exist" → WRONG. Pass the known-concepts list. Otherwise the summary's [[wiki-links]] use new variant names ("Hermes" vs "Hermes Agent") and dangle forever.

2. Capabilities

The skill supports four modes. Most uses invoke ingest (the default); query, lint, and reindex are maintenance modes.

• ingest (default) — process one source into the wiki:
  • Scaffold a fresh vault (WIKI_SCHEMA.md, index.md, log.md, _sources/, _concepts/, _entities/) on first run
  • Discover existing concepts/entities by scanning frontmatter
  • Delegate summary generation to summarizing-meetings with vault context injected
  • Upsert concept/entity pages additively, with footnote citations
  • Detect and flag (not resolve) contradictions
  • Update index.md and append to log.md
  • Idempotent: re-running an ingest of the same source does not duplicate rows or footnotes
• query — answer a question against the wiki:
  • Search pages by keyword to assemble a shortlist
  • Read shortlisted pages, synthesise an answer with [[wiki-link]] citations
  • Optionally file the answer back as a new wiki page (compounding pattern)
  • Append a query entry to log.md
• lint — health check the vault:
  • Report orphan pages (no inbound [[wiki-links]])
  • Report dangling link targets (referenced but no page)
  • Report open ## Contradictions blocks pending operator resolution
  • Report concepts mentioned in N+ sources without a dedicated page
• reindex — rebuild index.md from disk, recovering from drift; preserves the ## Notes section
• promote / demote (cross-course; vault-root mode) — lazy operator-triggered merging of same-named concept/entity pages across courses into the vault's shared _concepts//_entities/. See Phase P below and references/cross_course_promotion.md for the full operator playbook.

Two-Tier Vault Model (cross-course)

When the operator's vault holds multiple parallel courses each with their own WIKI_SCHEMA.md (schema_version 1.x), an OUTER WIKI_SCHEMA.md at the vault root (schema_version: 2.0, kind: vault-root) turns on the shared layer. _concepts/ and _entities/ at the vault root hold concepts/entities the operator has explicitly promoted out of individual courses. Sources never live at root (spec §2.5); the shared layer is lazy — populated only via promote (R8.5 / R13).

Invariant (load-bearing): a given canonical filename lives in exactly one place — either some course's _concepts//_entities/ OR the root's. lint detects violations and exits non-zero.

Install on PATH (TASK 017 R1)

The skill ships a thin POSIX shell wrapper at scripts/wiki-ingest (no .sh suffix) so the binary is invokable as wiki-ingest <subcommand> instead of python3 scripts/wiki_ops.py <subcommand>. The wrapper resolves its own path via readlink -f (GNU + BusyBox) with a python3 os.path.realpath fallback for stock macOS BSD readlink.

# Install (any one of these patterns works):
ln -s "$PWD/skills/wiki-ingest/scripts/wiki-ingest" ~/.local/bin/wiki-ingest

# Or invoke directly:
skills/wiki-ingest/scripts/wiki-ingest --version    # → "wiki-ingest 1.1.0"

Both forms — wiki-ingest <sub> (wrapper) and python3 wiki_ops.py <sub> (direct) — produce identical stdout / stderr / exit codes (locked by tests/test_cli_wrapper.py equivalence assertions). The direct form is the supported pattern for tooling that cannot rely on PATH; the wrapper is the supported pattern for human operators and external bridges (e.g., the obsidian-llm-wiki /wiki-enrich skill shells out as wiki-ingest …).

Top-level orchestrator: wiki-ingest ingest (TASK 017)

The v1.1 contract adds ingest — a single subcommand that composes the atomic ops (register-summary → N× upsert-page → update-index → append-log → log-event) into one call and emits a stable JSON manifest on stdout. Designed for external bridges (e.g., obsidian-llm-wiki /wiki-enrich) that need an end-to-end ingest in one subprocess invocation.

wiki-ingest ingest --source <abs-path-to-summary.md> \
                   --vault  <abs-path-to-course-root> \
                   --output-format json \
                   [--vault-id <slug>] \
                   [--source-hash <sha256-hex>]

Scope (v1.1): --source MUST be a pre-made summary (frontmatter type: ∈ {summary, lesson-summary, meeting-summary}). Raw transcripts fail-fast with phase:"needs-pre-summarization" + exit 26 — the operator / bridge pre-summarises via the summarizing-meetings skill first. (The synthesizer-subagent integration is a documented future enhancement; see references/manifest_schema.md §8.)

Manifest shape: see references/manifest_schema.md (in-repo mirror of the external CONTRACT). Top-level fields include manifest_version: "1.1", vault_id (string or null), vault_root, course (string or null per Q-5), source: {path, slug, hash}, written[] (each entry {path, action, kind, scope}), created[], touched[], contradictions, summary_path, log_event, llm_tokens_used.

Exit codes: see references/exit_codes.md. The v1.1 contract band is 20..26 — EXIT_PARTIAL=20, EXIT_SUBPROCESS=21, EXIT_LLM=22, EXIT_MISSING_VAULT_ID=23, EXIT_INVALID_VAULT_ID=24, EXIT_VAULT_ID_MISMATCH=25, EXIT_TIMEOUT=26.

Idempotency (UC-4): the orchestrator records source_hash: in the registered _sources/<slug>.md frontmatter on first ingest. Re-running with --source-hash <same-hex> short-circuits — emits action: "unchanged" + empty written[], exits 0.

vault_id migration (TASK 017 R3)

Existing two-tier vaults that want to integrate with the index layer (e.g., obsidian-llm-wiki) MUST add a vault_id: <slug> field to the root WIKI_SCHEMA.md frontmatter:

schema_version: "2.0"
kind: vault-root
vault_id: my-vault              # ← one-line add

The slug pattern is ^[a-z][a-z0-9-]{1,30}[a-z0-9]$ (3..32 chars, lowercase ASCII kebab-case, no --). Standalone wiki-ingest users DO NOT need this field — it stays absent and the orchestrator emits vault_id: null in the manifest. Strict-mode --vault-id <slug> validation only fires when callers (e.g., the bridge) demand it.

To scaffold a new vault root WITH a vault_id:

wiki-ingest init <vault> --root --vault-id my-vault

3. Execution Mode

• Mode: hybrid
• Why this mode: File-format operations (upsert without duplicates, append to log, dedupe footnotes, rewrite index sections) are deterministic and MUST be scripted — text-based logic at this density fails 30% of the time. Judgement steps (which facts from the new summary belong on which concept page, whether two claims contradict, whether two concept names refer to the same thing) MUST stay with the LLM. The split keeps both halves reliable.

4. Script Contract

• Command(s):
  • python3 scripts/wiki_ops.py scan <vault> → JSON dump of vault state (existing concepts, entities, sources, schema presence)
  • python3 scripts/wiki_ops.py init <vault> → scaffold missing WIKI_SCHEMA.md, index.md, log.md, and standard subdirs (idempotent)
  • python3 scripts/wiki_ops.py upsert-page <vault> --kind {concept|entity} --name <name> --source-slug <slug> --source-title <title> --source-date <YYYY-MM-DD> [--definition <text>] [--fact <text>] [--contradicts <existing-claim-id>]
  • python3 scripts/wiki_ops.py register-summary <vault> --summary-path <path> [--slug <override>] [--title <override>] [--force] → ingest a pre-made summary file directly into _sources/ (skip delegating to summarizing-meetings). Returns JSON with slug/title/date/concepts/related for Phase 3+.
  • python3 scripts/wiki_ops.py update-index <vault> --source-slug <slug> --source-title <title> --source-date <YYYY-MM-DD> --summary <one-line> [--new-concepts <name1,name2>] [--new-entities <name1,name2>]
  • python3 scripts/wiki_ops.py append-log <vault> --title <title> --slug <slug> --source-path <path> --touched <slug1,slug2,...> --created <slug1,slug2,...> --contradictions <count> — ingest-specific shortcut
  • python3 scripts/wiki_ops.py log-event <vault> --event <type> --title <text> [--detail key=value ...] — generic log append (query, lint, reindex events)
  • python3 scripts/wiki_ops.py find <vault> --terms "<space-separated>" [--limit N] [--kinds source,concept,entity] → ranked JSON hits for the keyword search backing query mode
  • python3 scripts/wiki_ops.py lint <vault> [--threshold N] → JSON health report (orphans, dangling links, open contradictions, missing concept pages)
  • python3 scripts/wiki_ops.py reindex <vault> → rebuild index.md from on-disk pages (preserves ## Notes)
  • python3 scripts/wiki_ops.py classify-folder <folder> [--group-by <regex>] → Phase 0 of folder-ingest: detect grouping pattern + classify each file into primary/metadata/merge/link/derived-output; emit a plan JSON. Pure read-only; no vault required.
  • python3 scripts/wiki_ops.py init <vault> --root → scaffold a vault-ROOT layer (WIKI_SCHEMA.md with schema_version: 2.0, _concepts/, _entities/). NO _sources/ or log.md at the root. Idempotent; never overwrites. See references/cross_course_promotion.md.
  • python3 scripts/wiki_ops.py promote <Name> --vault <vault> [--kind concept|entity] [--apply] → merge ≥2 course-local copies of the same concept/entity into a single root-level page. Dry-run by default; --apply commits. Unions frontmatter (earliest created, longer description, promoted_from: list), additive body merge, rewrites footnotes to vault-relative form, deletes course copies, updates course index.mds + root index.md, appends log.md entries. Detects literal-line-diff contradictions and surfaces them via ## Contradictions blocks (operator resolves).
  • python3 scripts/wiki_ops.py demote <Name> --to <Course> --vault <vault> [--dry-run] → move a root-level page back to a named course. Refuses if any course OTHER than --to cites the page via its _sources/. Rewrites footnotes to short form, strips promoted_from:, updates indexes + log. --dry-run NOT default (demote is reversible; cheap to undo).
  • wiki-ingest ingest --source <abs-summary.md> --vault <abs-course-root> [--output-format json] [--vault-id <slug>] [--source-hash <hex>] → v1.1 top-level orchestrator (TASK 017). Composes register-summary → upsert-page × N → update-index → append-log → log-event in one call. Emits a stable JSON manifest. Scope: summary-passthrough only (raw transcripts pre-summarised by the operator / bridge). Full contract in references/manifest_schema.md. Exit codes in references/exit_codes.md (v1.1 band: 20..26).
  • wiki-ingest --version → emits wiki-ingest 1.1.0\n and exits 0 (CONTRACT §7 minimum-version check).
• Inputs: vault root path; for upserts, the source's slug/title/date and the concept name and either a definition (stub-creation) or a fact (additive update).
• Outputs: stdout JSON for scan; mutated markdown files for the rest; non-zero exit on missing required args or invalid vault.
• Failure semantics: exits 1 with stderr message on invalid args / missing vault; exits 2 if WIKI_SCHEMA.md is absent and init was not run first (prevents improvised conventions).
• Idempotency: init is fully idempotent — never overwrites existing files. upsert-page deduplicates source rows and footnotes by slug, and refuses case-colliding names (--force to override). update-index deduplicates rows by slug. append-log deduplicates by (date, event, source-slug) — re-running an identical ingest is a no-op; pass --force-log to append anyway.
• Dry-run support: --dry-run on all mutating subcommands prints the diff to stdout without writing.

5. Safety Boundaries

• Allowed scope: a single vault directory provided as <vault>. All writes stay inside it.
• Default exclusions: raw source files (operator's transcripts, articles); the script reads them only when invoked by the agent for inspection, never mutates them.
• Destructive actions: the only operations that can remove operator content are reindex (rewrites index.md) and --force overrides. reindex preserves every non-default section (anything outside _sources/_concepts/Entities — including Notes and any custom sections the operator added) — but its output is reported as a list under preserved_sections; review the diff before accepting. The agent never passes --force or --force-log without explicit operator approval.
• Contradiction handling is non-destructive: contradictions are marked with a ⚠️ Contradiction: block linking both sources. The skill never auto-resolves. The --contradicts text MUST match a substring on the existing page (script verifies); operator must pass --force to record an unverified citation.
• Filesystem safety: --name/--slug/--source-slug reject path traversal (.., /, \, leading .), control characters, markdown link metacharacters ([, ], |, ^), template placeholders ({{, }}), and overlong (>200 char) values. Case-insensitive collisions (e.g., sharpe score.md vs Sharpe Score.md on macOS APFS) AND slug-equivalent collisions (e.g., _Foo_.md vs foo.md) are detected and refused without --force. Names are NFKC-normalised so visually-identical Unicode variants (composed vs decomposed, fullwidth vs ASCII) collapse onto the same on-disk filename.
• No network calls: the script is local-only. Transcript fetching is a separate skill (transcript-fetcher); plumb that upstream if needed.

6. Validation Evidence

• Local verification:
  • python3 scripts/wiki_ops.py scan <vault> after ingest → confirm last_ingest slug and counts match expectations
  • grep "^## \[" <vault>/log.md | tail -5 → last 5 log entries readable
  • Open the new summary page in Obsidian → all [[wiki-links]] resolve (no dangling)
• Expected evidence per ingest:
  • 1 new file under _sources/<slug>.md
  • 0+ new files under _concepts/ and _entities/
  • index.md and log.md modified
  • Every concept/entity touched contains a footnote [^src-<slug>] and an entry under "Sources mentioning this"
• CI signal: none (skill operates on user-local files).

7. Instructions

Phase 0 — Resolve inputs

1. Required from user / inferred from context:
   • One of:
     • <source-folder> — path to a folder containing one or more related source files (transcript + slides + notes + binaries). Triggers Phase 0-folder (classify-folder), then per-group Phases 2-6.
     • <source> — path to a single raw source file (transcript, article markdown, paper text). Triggers Phase 2 (delegate to summarizing-meetings).
     • <summary> — path to a pre-made summary file (e.g., already produced by an earlier summarizing-meetings run). Triggers Phase 2-alt (register-summary).
   • <vault> — path to the Obsidian vault root.
2. Distinguishing the three input shapes:
   • Folder → Phase 0-folder (see below).
   • File with summary-style frontmatter (type: lesson-summary / type: meeting-summary / kind: source, OR both concepts: AND related: arrays) → Phase 2-alt.
   • Any other file → Phase 2.
   • When uncertain, ask the operator once.
3. If <vault> not provided: ask the user. Do NOT guess. Common defaults to propose (not assume): the parent directory of the source/summary file, ~/obsidian-vault, or a vault the user mentioned earlier in the conversation.
4. If <source> is a URL, refuse and instruct: "Fetch first with transcript-fetcher, then re-invoke wiki-ingest with the local path." This skill operates on local files only.

Phase 0-folder — Classify-folder (when input is a directory)

When <source-folder> is a directory containing multiple files (e.g., a transcript + slides + notes bundle, or a numbered course like 01 - intro.md + 01 - intro - slides.pptx):

1. Run python3 scripts/wiki_ops.py classify-folder <folder> — outputs JSON plan with:
   • Detected grouping pattern (prefix / sibling / flat)
   • Per-group classification: primary / metadata / merge / link / derived_outputs / skipped
   • Per-file rationale + warnings
2. Present the plan to the operator in human-readable form. Surface warnings (e.g., groups with no text-readable primary).
3. Apply LLM judgement on ambiguous classifications:
   • If rationale shows "close runner-up — review" → ask operator to pick primary
   • If a file's role seems wrong (e.g., a substantial recipe got merge instead of link) → propose override
   • Operator can re-run with --group-by '<regex>' to force a custom grouping
4. For each group with a confirmed primary:
   • Run Phases 2-6 below (treating the group's primary file as <source> and merge files as supplementary context for the summarizing-meetings call)
   • After Phase 5 (update-index + append-log), post-process the generated summary to inject:
     • companion_links: frontmatter list — one entry per link file with path, kind, one-line description
     • metadata: frontmatter fields — flatten the metadata files' contents (e.g., url, duration_sec, embed_url from a *.stat.json)
     • For prefix-grouped courses: course:, lesson_number:, previous:, next: cross-references
     • ## Companion Material body section — one bullet per link file with a Markdown link to its raw location
5. NEVER copy link files into the wiki. They live in the raw layer. Wiki only references them by path. (Karpathy invariant: raw is immutable.)
6. derived_outputs (previously-generated summary files like summary.md) are skipped entirely — they're outputs of a prior ingest, not sources.

Detailed algorithm, examples, edge cases: references/folder_ingest_workflow.md.

Phase 1 — Scan + scaffold

1. Run python3 scripts/wiki_ops.py scan <vault> → capture the JSON.
2. If the JSON reports schema_present: false: run python3 scripts/wiki_ops.py init <vault>. Then immediately read <vault>/WIKI_SCHEMA.md and tell the operator one sentence: "Scaffolded the vault with default conventions — edit WIKI_SCHEMA.md if you want a different layout." This is the only time the skill creates structural files.
3. Always read <vault>/WIKI_SCHEMA.md before proceeding — it defines paths, naming, frontmatter conventions. The default schema is good; bespoke schemas override it.

Phase 2 — Delegate summary generation (when input is a raw source)

1. Build a known-concepts list from the scan JSON: ["Hermes Agent", "Claude Code", ...]. Include both concepts and entities. This is the disambiguation hint.
2. Invoke summarizing-meetings via the Skill tool. In the args, include:
   • the source file path
   • the target output path: <vault>/_sources/<slug>.md (slug from the title; the scan JSON's helper proposed_slug is fine if available, otherwise kebab-case the title)
   • the known-concepts list and an instruction: "When the source mentions any of these, use the EXACT name in [[wiki-links]] and concepts: frontmatter. Do not invent variant names."
3. Wait for the sub-skill to finish. Read the generated file end-to-end before proceeding. If the file is short or fields are mostly ⚠️ UNKNOWN, warn the operator and ask before continuing — a low-quality summary will pollute concept pages.

Phase 2-alt — Register an existing summary (when input is a pre-made summary)

When the operator provides a path to a summary file that already exists (typically produced by an earlier run of summarizing-meetings), skip Phase 2 entirely. Use register-summary instead:

1. Run python3 scripts/wiki_ops.py register-summary <vault> --summary-path <summary> — this copies the summary into <vault>/_sources/<slug>.md and returns JSON with slug, title, date, concepts, related, and any warnings.
2. Heed warnings: if the JSON contains warnings (e.g., empty concepts: and related:), surface them to the operator before continuing. A summary without upsert targets means Phase 3 will be a no-op.
3. If _sources/<slug>.md already exists the script exits with code 3. Decide:
   • Same content (e.g., the operator re-ran the same file) → re-invoke with --force (it's just an overwrite-with-same).
   • Different content → ask the operator: rename the new slug (--slug <other>) or --force to replace.
4. Skip Phase 2's known-concepts-list hint — it doesn't apply, since the summary was generated without that context. Be aware: the existing summary may use variant names ("Hermes" instead of "Hermes Agent"). If you detect a variant, fix it in the registered _sources/ page with Edit before Phase 3 to keep [[wiki-links]] consistent.
5. The returned concepts and related arrays are exactly what Phase 3 needs — proceed directly.

Phase 3 — Extract upsert targets

From the generated summary's frontmatter:

• concepts: → list of concept names that need concept-page upserts
• related: → list of [[wiki-links]] — split into concepts vs entities by checking the scan JSON; new ones default to entities (people, organizations, products) unless clearly conceptual (rule of thumb: capital-letter abstractions like "Sharpe Score" are concepts; proper nouns like "Railway" are entities). When uncertain, ask the operator once at the start of the ingest and remember the answer for the rest of the run.
• Sections under ### Technical Glossary → additional concepts the operator clearly cares about

Phase 4 — Upsert pages (the maintenance work)

For each concept/entity in the upsert list:

1. Check existence via the scan JSON.
2. If page does NOT exist:
   • Pull a one-sentence definition from the summary (from ### Key Concepts or the glossary). Cite it as [^src-<slug>].
   • Run python3 scripts/wiki_ops.py upsert-page <vault> --kind <k> --name <name> --source-slug <slug> --source-title <title> --source-date <date> --definition "<one sentence>" — the script creates a stub page with the definition, a "Sources mentioning this" section, and the footnote.
3. If page EXISTS:
   • Read it with the Read tool.
   • Decide: does the new summary contribute a new fact this page lacks?
     • If no → run upsert-page with no --fact (still records the source under "Sources mentioning this" and adds the footnote — that alone is valuable).
     • If yes → extract the new fact as one paragraph and run upsert-page --fact "<text>". The script appends under a "Facts" section with the citation.
   • Check for contradictions: if the new fact disagrees with an existing claim on the page (different number, different definition, opposite assertion), do NOT pick a winner. Run upsert-page --contradicts "<short quote of existing claim>" — the script wraps both claims in a ⚠️ Contradiction: block.
4. Track for the log: maintain two lists — touched (existed before) and created (created this ingest), plus a contradiction counter.

Phase 5 — Update index and log

1. Index: python3 scripts/wiki_ops.py update-index <vault> --source-slug <slug> --source-title <title> --source-date <YYYY-MM-DD> --summary "<one-line TL;DR>" --new-concepts <names> --new-entities <names> — adds rows under the right sections, deduplicated by slug.
2. Log: python3 scripts/wiki_ops.py append-log <vault> --title <title> --slug <slug> --source-path <path> --touched <slugs> --created <slugs> --contradictions <n> — appends the grep-friendly entry.

Phase 6 — Report to operator

Print a short report (5–8 lines) listing:

• the new summary page
• pages created (with full paths)
• pages touched (count + names)
• contradictions flagged (count + 1-line preview of each, with file paths)
• one suggestion for the next ingest or a lint check the operator might want to run

DO NOT print the summary itself again — the operator will open it in Obsidian. Keep the report scannable.

Phase Q — Query mode

Use this when the operator asks a question about already-ingested material ("What does the wiki say about Sharpe Score?", "Compare Hermes and OpenClaw based on what we have."). Steps:

1. Extract search terms from the question — content words only, drop stop-words. For "What does the wiki say about Sharpe Score in crypto?" → terms sharpe score crypto.
2. Run wiki_ops.py find <vault> --terms "..." --limit 10 — JSON returns ranked pages.
3. Read the top 3–5 hits with the Read tool. Skip pages whose score is < 20% of the top hit (likely noise).
4. Synthesise an answer in 4–10 sentences. Every claim MUST cite the source page as [[<slug>]] inline. If two pages disagree, surface it explicitly ("[[source-a]] says X; [[source-b]] says Y").
5. Decide whether to file the answer back:
   • If the question is a one-shot lookup → don't file; just answer in chat.
   • If the question is analytical ("compare X vs Y", "trace the evolution of Z across sources") → propose filing the answer at <vault>/_sources/query-<slug>.md so the next query benefits. Ask the operator once before writing.
6. Log the event: python3 scripts/wiki_ops.py log-event <vault> --event query --title "<question short>" --detail "pages_read=<comma list>" --detail "saved_as=<path or none>".

Phase L — Lint mode

Use this when the operator says "lint the wiki", "what's missing", or after ~10 ingests as a periodic health check. Steps:

1. Run wiki_ops.py lint <vault> — JSON returns four categories.
2. Present a summary table to the operator with counts and 1-line examples per category. Do NOT auto-fix — lint is diagnostic only.
3. Suggest concrete actions keyed to each category (see references/query_lint_workflow.md §Lint for the playbook):
   • Orphans → maybe link from a related concept, or delete if obsolete
   • Dangling links → ingest the missing source, or rename the link to an existing page, or delete the link
   • Open contradictions → operator decides which claim wins; you can offer to apply the resolution via Edit
   • Missing concept pages → propose an ingest of the most-mentioned ones first
4. Log the event: python3 scripts/wiki_ops.py log-event <vault> --event lint --title "Lint pass" --detail "orphans=<n>" --detail "dangling=<n>" --detail "open_contradictions=<n>" --detail "missing_pages=<n>".

Phase P — Promote / Demote (cross-course; two-tier vault)

Use this when the operator's vault has a schema_version: 2.0 root schema (init <vault> --root to scaffold). The skill works with a two-tier vault: each course under Lessons/<Course>/ keeps its own _sources/_concepts/_entities/log.md/index.md; the vault root holds _concepts/ and _entities/ for shared concepts/entities that ≥2 courses cite.

1. When: lint reports cross_course_duplicate AND the duplicate pages describe the same concept (operator judgement — the skill never auto-decides semantic identity).
2. Promote (dry-run first): python3 scripts/wiki_ops.py promote "<Name>" --vault <vault>. Inspect the PromotionPlan JSON. Re-run with --apply to commit.
3. What promote does: reads all course-local copies, unions frontmatter (earliest created, longer description, list-of-dicts promoted_from), additive body merge with literal-line-diff contradiction detection, vault-relative footnote rewrite, atomic write of the root page, deletion of course-local copies, update of each course's index.md + log.md, and the root index.md.
4. Demote (no dry-run by default; reversible via re-promote): python3 scripts/wiki_ops.py demote "<Name>" --to "<Course>" --vault <vault>. Refuses if a NON-target course's _sources/ cites the page.
5. Always bracket with lint: lint <vault> before AND after every promote/demote. Zero invariant_violation is required after.

Detailed playbook + honest-scope items + edge cases: references/cross_course_promotion.md.

Phase R — Reindex mode

Use this when:

• The operator manually edited index.md and broke it
• Many pages were renamed and the index now points to wrong slugs
• lint shows the index disagrees with disk (rare; the script keeps index in sync during ingest)

Steps:

1. wiki_ops.py reindex <vault> — rebuilds _sources, _concepts, _entities sections from on-disk pages. ALL other sections the operator added (## Notes, ## Pinned, ## Reading Queue, etc.) are preserved verbatim. The JSON output lists them under preserved_sections — confirm nothing was unexpectedly dropped.
2. Show the operator a diff (compare with the pre-reindex copy if you saved one). For safety, suggest git diff index.md if the vault is a git repo, or cp index.md index.md.bak before invoking.
3. Log the event: python3 scripts/wiki_ops.py log-event <vault> --event reindex --title "Index rebuild" --detail "sources=<n>" --detail "concepts=<n>" --detail "entities=<n>".

8. Workflows

Ingest (the default):

- [ ] Phase 0: Resolve input path (raw source OR pre-made summary) and vault path
- [ ] Phase 1: Scan vault; init schema if missing
- [ ] Phase 2: Delegate to summarizing-meetings with known-concepts context
       — OR Phase 2-alt: register-summary if input is a pre-made summary
- [ ] Phase 3: Extract concept/entity upsert targets from summary frontmatter
- [ ] Phase 4: Upsert each (additive; flag contradictions)
- [ ] Phase 5: Update index.md and append to log.md
- [ ] Phase 6: Report to operator

Query:

- [ ] Extract content-word search terms from the question
- [ ] wiki_ops.py find — get ranked hits
- [ ] Read top 3–5 hits
- [ ] Synthesise answer with [[<slug>]] citations
- [ ] Decide whether to file the answer back; ask operator if so
- [ ] log-event --event query

Lint:

- [ ] wiki_ops.py lint
- [ ] Present summary table per category
- [ ] Suggest actions: dangling → contradictions → missing-pages → orphans
- [ ] Apply approved fixes (Edit / upsert-page / Edit again)
- [ ] log-event --event lint

Reindex:

- [ ] Suggest backup (git or cp)
- [ ] wiki_ops.py reindex
- [ ] Show diff; operator confirms
- [ ] log-event --event reindex

For details on judgement-heavy steps:

• Ingest (concept vs entity classification, contradiction detection, "new fact" extraction): references/ingest_workflow.md
• Query/Lint/Reindex (term extraction, hit filtering, lint action playbook, reindex safety): references/query_lint_workflow.md

9. Best Practices & Anti-Patterns

Rationalization Table

10. Examples (Few-Shot)

See examples/usage_example.md for a full walkthrough on a real source.

Minimal invocation:

User: ingest the transcript at Lessons/ZeroOne/Hermes/transcript.txt into my obsidian-llm-wiki vault

Expected agent flow:

1. Confirm vault path (<vault>).
2. wiki_ops.py scan <vault> → vault has 0 concepts, no schema yet.
3. wiki_ops.py init <vault> → scaffolds schema/index/log/subdirs. Tells operator one sentence.
4. Invoke summarizing-meetings with source + target path + (empty) known-concepts list.
5. Read the generated _sources/<slug>.md.
6. Frontmatter has 11 concepts + 4 related entities. Upsert each (all new → all get stub pages with definitions).
7. wiki_ops.py update-index + append-log.
8. Report: "Created _sources/<slug>.md, 15 concept/entity stubs under _concepts/ and _entities/. Index and log updated. 0 contradictions."

Alternative invocation — pre-made summary:

User: ingest the existing summary at <summary>/summary.md into my vault at <vault>

The agent uses Phase 2-alt instead of Phase 2: wiki_ops.py register-summary <vault> --summary-path <summary>/summary.md returns the slug, title, and the same concepts/related lists Phase 3 needs. No call to summarizing-meetings. See examples/usage_example.md Flow B for a full walkthrough; examples/sample_summary.md is bundled so this flow can be exercised end-to-end without an external file.

11. Resources

• scripts/wiki_ops.py — deterministic vault operations across all four modes: scan, init, upsert-page, update-index, append-log, log-event, find, lint, reindex. Mutating subcommands support --dry-run.
• references/karpathy-llm-wiki.md — foundational methodology by Andrej Karpathy (imported verbatim from github.com/karpathy/llm-wiki). Read this when you need to remember WHY the skill is structured the way it is — raw vs wiki vs schema layers, the ingest/query/lint operations, the "compounding artifact" thesis. This skill is an implementation of that pattern.
• references/wiki_schema.md — full default vault conventions (paths, frontmatter, footnote style, page sections). Read when interpreting an existing vault's WIKI_SCHEMA.md or deciding how to upsert.
• references/ingest_workflow.md — judgement-heavy steps for ingest: concept-vs-entity classification rules, contradiction detection patterns, new-fact extraction heuristics.
• references/query_lint_workflow.md — judgement-heavy steps for query, lint, reindex: term extraction, hit filtering, lint action playbook (orphans → dangling → contradictions → missing-pages), reindex safety pattern.
• references/folder_ingest_workflow.md — Phase 0-folder algorithm: grouping pattern detection (prefix / sibling / flat), per-file role classification (primary / metadata / merge / link / derived-output), primary selection within a group with segment-aware filename hints + pool filter. Read when ingesting multi-file folders.
• assets/WIKI_SCHEMA.template.md — bundled default schema; copied into the vault by wiki_ops.py init.
• assets/index.template.md — bundled empty index; copied by init.
• assets/log.template.md — bundled empty log; copied by init.
• assets/concept_page.template.md / assets/entity_page.template.md — stub-page templates used by upsert-page.
• examples/usage_example.md — annotated example ingest.

12. Evals (Optional but Recommended)

See evals/evals.json for test cases (initial set covers: fresh-vault ingest, second ingest with shared concept, contradiction detection, idempotent re-ingest).