Agent skill

Wiki Digest

by Ar9av in Ar9av/obsidian-wiki

Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki.

MITAuto-check: notesKnowledge Management

Install Wiki Digest

skills CLI
$ npx skills add Ar9av/obsidian-wiki --skill wiki-digest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Ar9av/obsidian-wiki wiki-digest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Ar9av/obsidian-wiki.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.skills/wiki-digest .claude/skills/wiki-digest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wiki-digest
GitHub stars
3.5k
Token cost
~2.8k tokens
SKILL.md length
1,195 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki.

  • Works in 7 steps: Collect Pages Active in the Period → Identify Themes → Find Notable New Connections → …
  • Readable recent-learning summaries
  • SKILL.md covers Before You Start, Step 1: Collect Pages Active…, Step 2: Identify Themes and Step 3: Find Notable New…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wiki Digest is an agent skill from Ar9av/obsidian-wiki. Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki. Use for readable recent-learning summaries; wiki-status reports source and ingestion state instead.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering LLM wikis. It works with Obsidian. The repository describes itself as: Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents. The licence is MIT.

When your agent uses it

  • Readable recent-learning summaries
  • Wiki-status reports source and ingestion state instead

Example prompts

  • “/wiki-digest”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Collect Pages Active in the Period
  2. Identify Themes
  3. Find Notable New Connections
  4. Surface Open Threads
  5. Choose Recommended Re-reads
  6. Generate the Digest
  7. Output & Optionally Save

What it can do on your machine

Read from SKILL.md and the folder at commit 4a0630b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, markdown and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wiki Digest loads about 2.8k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 1,195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:16
    line `@name` override → walk up CWD for `.env` → global config → prompt setup). This gives `OBSIDIAN_VAULT_PATH` and `OB

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Ar9av/obsidian-wiki at commit 4a0630b, republished under its MIT licence (© Ar9av). 1,195 words, ~2,845 tokens.

Download SKILL.mdSave it as .claude/skills/wiki-digest/SKILL.md (or your agent's skills folder).
name
wiki-digest
description
Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki. Use for readable recent-learning summaries; wiki-status reports source and ingestion state instead.

Wiki Digest — Knowledge Newsletter Generator

You are generating a human-readable digest of recent wiki activity: what was learned, what was updated, what themes are emerging, and what's worth reviewing. This skill summarizes knowledge, not sources — think of it as a weekly review session, not an ingestion status report.

Before You Start

Writing profile: Before drafting or rewriting natural-language Markdown, read and apply the Writing Profile Resolution section in llm-wiki/SKILL.md. Framework schema, provenance, safety, and operation-specific requirements take precedence. WRITING.md preferences apply only to newly drafted or rewritten natural-language Markdown; preserve source content and structured records.

  1. Resolve config — follow the Config Resolution Protocol in llm-wiki/SKILL.md (inline @name override → walk up CWD for .env → global config → prompt setup). This gives OBSIDIAN_VAULT_PATH and OBSIDIAN_LINK_FORMAT.
  2. Parse the period from the user's request:
    • "daily" / "today" / "yesterday" → last 24 hours
    • "weekly" / "this week" / no argument (default) → last 7 days
    • "monthly" / "this month" → last 30 days
    • ISO date like "since 2026-05-01" → pages updated since that date
    • Explicit number like "last 14 days" → that many days
  3. Read $OBSIDIAN_VAULT_PATH/log.md — last 200 lines — for entries within the period (timestamps are ISO-8601 prefixed lines).
  4. Read $OBSIDIAN_VAULT_PATH/hot.md for current session context.
  5. If $OBSIDIAN_VAULT_PATH/_insights.md exists, read its Anchor Pages table — you'll use it later to identify which new pages became hubs.

Step 1: Collect Pages Active in the Period

Glob all .md files under $OBSIDIAN_VAULT_PATH. Skip special/system files:

  • index.md, log.md, hot.md, AGENTS.md, _insights.md
  • Anything under _meta/, _archives/, _raw/
  • Journal digest pages themselves (journal/digest-*.md)

For each remaining page, read its frontmatter:

  • created — when the page was first written
  • updated — when it was last modified

Classify:

  • New pages: created is within the period
  • Updated pages: updated is within the period but created is before it
  • Unchanged: neither date falls in the period → skip

If fewer than 5 pages were active, note it and offer to widen: "Only 3 pages were active in the last 7 days — want a monthly digest instead?" Stop here unless the user says to continue.

For each active page, collect: title, category, tags, summary (frontmatter field), lifecycle, any ^[ambiguous] or ^[inferred] markers in the body.

Step 2: Identify Themes

From all active pages' tags, tally theme frequency:

For each tag across new + updated pages:
  count how many active pages carry it
Sort descending, take top 5

Also read $OBSIDIAN_VAULT_PATH/_meta/taxonomy.md (if it exists). Flag any tag from step 1 that does not appear in the taxonomy — these are new vocabulary words that emerged this period.

Note which categories grew most (concepts/, entities/, skills/, synthesis/, references/, etc.).

Step 3: Find Notable New Connections

Scan new and updated pages for cross-category wikilinks — links that bridge different knowledge layers. These are the most intellectually interesting outputs of the period.

For each active page, extract all [[wikilink]] targets. Classify each link by the target's category prefix. Flag links that cross categories (e.g., a concepts/ page linking to an entities/ page, or a synthesis/ page bridging two topics).

Rank candidates by interestingness:

  • +3 if the link is across two categories that rarely connect (use _insights.md bridge data if available)
  • +2 if the target page is a top-10 hub (per _insights.md anchors)
  • +2 if the link appears in a synthesis/ page (deliberate cross-cutting)
  • +1 if the source page is marked ^[inferred] (synthesized connection, not directly stated)

Take the top 3–5 connections. Write each as a plain-English sentence: not just "A → B" but why the connection is interesting.

Step 4: Surface Open Threads

Scan active pages and _raw/ for unresolved work:

  • Drafts: pages with lifecycle: draft or lifecycle: stub
  • Ambiguous claims: count ^[ambiguous] markers across all active pages (don't list every one — just the count and which pages have the most)
  • Unstaged notes: count files in $OBSIDIAN_VAULT_PATH/_raw/ (anything here hasn't been promoted)
  • Taxonomy gaps: tags from Step 2 that aren't in _meta/taxonomy.md

From the existing (pre-period) pages, identify 2–3 worth revisiting given this week's new context.

Heuristic: find pre-period pages that share the most tags with the active pages from Step 1. These are foundational pages whose topic was extended this period — the new pages build on them but the user may not have revisited the foundation.

Also include any pre-period page that now has 2+ new incoming links from active pages (it just became more connected — a sign it's load-bearing).

Write each recommendation with a concrete reason: "[[concepts/attention-mechanism]] — your foundational page; three new papers ingested this week all extend it", not just the page title.

Show full SKILL.md (506 more words)Show less

Step 6: Generate the Digest

Produce a structured, scannable markdown report. The Headlines section is the most important — it should feel like the opening of a good newsletter, synthesizing actual insight rather than listing page names.

Apply the link format from llm-wiki/SKILL.md (Link Format section) using OBSIDIAN_LINK_FORMAT. Default is [[wikilink]].

markdown
# Wiki Digest — [Period Label]
> [N new pages · M updated pages · period: YYYY-MM-DD to YYYY-MM-DD]

## Headlines

- [Concrete insight #1 — synthesize the actual knowledge, not just "learned about X"]
- [Concrete insight #2]
- [Concrete insight #3]

## New Knowledge

### New pages ([count])
| Page | Category | Summary |
|---|---|---|
| [[concepts/foo]] | concept | One-sentence summary from frontmatter |
| [[entities/bar]] | entity | One-sentence summary |

### Notable updates ([count])
| Page | What changed |
|---|---|
| [[skills/react-hooks]] | Added patterns for useCallback with async effects |

*(If no updates, omit this subsection.)*

## Emerging Themes

- **#[tag]** ([N pages]) — [One sentence on why this topic was active]
- **#[tag]** ([N pages]) — [...]
- **#[NEW TAG]** ([N pages]) ⭐ *New vocabulary — not yet in taxonomy*

Most active category: **[category/]** ([N pages added or updated])

## Key Connections Made

- [[concepts/A]] → [[entities/B]] — [Plain-English reason this connection is interesting]
- [[synthesis/X]] created — bridges [[concepts/Y]] and [[concepts/Z]] for the first time
- *(up to 5 connections)*

## Open Threads

- **Drafts to compile** ([count]): [[concepts/foo]], [[concepts/bar]] — still in draft lifecycle
- **Ambiguous claims**: [N] `^[ambiguous]` markers across [M] pages — run `/wiki-synthesize` to resolve
- **Unstaged notes**: [N] files in `_raw/` — run `/wiki-ingest _raw/` to promote them
- **Taxonomy gaps**: Tags `#newtag1`, `#newtag2` used but not in taxonomy — run `/tag-taxonomy`

*(Omit any subsection where count is 0.)*

## Recommended Re-reads

- [[concepts/X]] — [Specific reason: "3 new papers this week all extend this concept"]
- [[synthesis/Y]] — [Specific reason: "2 new pages created this week reference it"]
- [[skills/Z]] — [Specific reason: "now has 4 new incoming links — it's become a hub"]

---
*Generated by wiki-digest · [TIMESTAMP] · [N pages scanned in [VAULT_PATH]]*

Visibility: If a page is tagged visibility/pii, exclude it from all tables and connection lists (but count it in the totals, noted as "+ N private"). If the user explicitly says "include private pages" or "full digest", include them normally.

Step 7: Output & Optionally Save

Default (chat output): Print the digest directly. At the end, ask: "Want me to save this as journal/digest-YYYY-MM-DD.md?"

If user prefixed with "save" or "write" (e.g., /wiki-digest save or "generate and save my weekly digest"):

  • Write to $OBSIDIAN_VAULT_PATH/journal/digest-YYYY-MM-DD.md (weekly/monthly) or journal/digest-YYYY-MM-DD-daily.md (daily)
  • Add frontmatter:
    yaml
    ---
    title: "Wiki Digest — [Period Label]"
    category: journal
    tags: [digest, meta/review]
    sources: []
    created: TIMESTAMP
    updated: TIMESTAMP
    summary: "Weekly knowledge digest: [N new, M updated pages]. Top themes: [tag1], [tag2]."
    ---
  • Update index.md with the new entry under Journal
  • Do not add to .manifest.json (digests aren't source ingestions)

Either way, append to log.md:

- [TIMESTAMP] DIGEST period="7d" new_pages=N updated_pages=M themes=T connections=C saved=false

Edge Cases

SituationHandling
Fewer than 5 active pagesOffer to widen the period; proceed only if user confirms
Empty vault (no pages at all)Tell the user to run an ingest first; stop
No _meta/taxonomy.mdSkip taxonomy gap check; omit that line from Open Threads
No _insights.mdSkip hub-based scoring in Step 3; still produce connections section
All pages are visibility/piiReport "N private pages active this period" with no details; offer full mode
Period spans a wiki rebuildNote it in the digest: "Wiki was rebuilt during this period — page dates reflect post-rebuild state"

Notes

  • Headlines are the payoff. Don't list page titles — synthesize the actual learning. If someone learned about attention mechanisms this week, the headline should capture the insight, not just say "added 3 transformer pages".
  • Be concrete about re-reads. "This page is relevant" is useless. "3 of this week's papers all cite the same claim in this page" is actionable.
  • This skill only reads. The only writes are the optional journal page, and the log.md append. It does not modify existing wiki pages.
  • Don't duplicate wiki-status. If the user asks "what needs ingesting" or "what's the delta", route to wiki-status. This skill answers "what did I learn", not "what's pending".

QMD Refresh After Vault Writes

QMD is a search index, not the source of truth. If $QMD_WIKI_COLLECTION is empty or unset, skip this step. Run it only after this skill has written or rewritten vault markdown. If QMD refresh fails, do not roll back the vault changes; report the QMD status separately.

Use $QMD_CLI if set; otherwise use qmd.

bash
${QMD_CLI:-qmd} update

If the output says vectors are needed or embeddings may be stale, run:

bash
${QMD_CLI:-qmd} embed

Verify the collection with either:

bash
${QMD_CLI:-qmd} ls "$QMD_WIKI_COLLECTION"

or, when a specific page path is known:

bash
${QMD_CLI:-qmd} get "qmd://$QMD_WIKI_COLLECTION/<page>.md" -l 5

Record one of:

  • QMD refreshed: update + embed + verified
  • QMD refreshed: update only + verified
  • QMD skipped: QMD_WIKI_COLLECTION unset
  • QMD skipped: qmd CLI unavailable
  • QMD failed: <short error summary>

© Ar9av, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .skills/wiki-digest of Ar9av/obsidian-wiki.

Open the folder on GitHubat commit 4a0630b

Compare with similar skills

Wiki Digest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wiki Digest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki Digest this skillAr9av/obsidian-wiki3.5k—~2.8kAutomated safety check: NotesMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
LLM Wikizosmaai/pi-llm-wiki608—~4.4kAutomated safety check: PassMIT
LLM Wikipraneybehl/llm-wiki-plugin118—~5.7kAutomated safety check: PassMIT
Karpathy WikiSherwinQ/karpathy-wiki114—~967Automated safety check: PassMIT
My LLM WikiMartinLwx/dotfiles140—~2.7kAutomated safety check: PassNone

Similar skills

  • LLM Wiki

    lewislulu/llm-wiki-skill

    Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers…

    655 GitHub stars~3.7k tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • LLM Wiki

    zosmaai/pi-llm-wiki

    Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern.

    608 GitHub stars~4.4k tokensUpdated 2 days ago
    Knowledge ManagementAuto-check passed
  • LLM Wiki

    praneybehl/llm-wiki-plugin

    Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings.

    118 GitHub stars~5.7k tokensUpdated 26 days ago
    Knowledge ManagementAuto-check passed
  • Karpathy Wiki

    SherwinQ/karpathy-wiki

    A skill your agent uses when building or maintaining a personal knowledge base with LLM assistance.

    114 GitHub stars~967 tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • My LLM Wiki

    MartinLwx/dotfiles

    Provides access to the user's personal wiki, including notes, research, project documentation, decisions, and archived knowledge.

    140 GitHub stars~2.7k tokensUpdated today
    Knowledge ManagementAuto-check passed
  • Sage Wiki

    xoai/sage-wiki

    Reference skill for sage-wiki — local-first knowledge graph with MCP server, REST API, compiled wiki, and Obsidian-compatible output.

    622 GitHub stars~2.4k tokensUpdated 3 days ago
    Knowledge ManagementAuto-check passed

More from Ar9av/obsidian-wiki

All 39 skills in this repo
  • Codex History Ingest

    Ar9av/obsidian-wiki

    Ingest Codex CLI conversation/session history into Obsidian as distilled knowledge.

    3.5k GitHub stars~2.2k tokensUpdated today
    Auto-check: notes
  • Copilot History Ingest

    Ar9av/obsidian-wiki

    Ingest GitHub Copilot CLI/session history into Obsidian as distilled knowledge.

    3.5k GitHub stars~4.4k tokensUpdated today
    Auto-check: notes
  • Hermes History Ingest

    Ar9av/obsidian-wiki

    Ingest Hermes agent history into Obsidian as distilled knowledge.

    3.5k GitHub stars~2.2k tokensUpdated today
    Auto-check: notes
  • Obsidian Layout Adjustment

    Ar9av/obsidian-wiki

    Adjust the user's Obsidian visual layout with CSS snippets. An agent skill from Ar9av/obsidian-wiki.

    3.5k GitHub stars~2.5k tokensUpdated today
    Auto-check passed
  • Openclaw History Ingest

    Ar9av/obsidian-wiki

    Ingest OpenClaw session/history data into Obsidian as distilled knowledge.

    3.5k GitHub stars~2.5k tokensUpdated today
    Auto-check: notes
  • Wiki Capture

    Ar9av/obsidian-wiki

    Turn the current conversation or finding into a structured permanent wiki note.

    3.5k GitHub stars~4.3k tokensUpdated today
    Auto-check: notes

Works with

Questions about Wiki Digest

What does Wiki Digest do?

Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki. Wiki Digest is an agent skill from Ar9av/obsidian-wiki. Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki.

When should I use Wiki Digest?

Wiki Digest fits situations like: readable recent-learning summaries; wiki-status reports source and ingestion state instead.

How do I install Wiki Digest in Claude Code?

Run `npx skills add Ar9av/obsidian-wiki --skill wiki-digest -a claude-code`. Or copy the skill folder (.skills/wiki-digest in Ar9av/obsidian-wiki) into .claude/skills/wiki-digest in your project. Claude Code loads it when a task matches its description.

How do I install Wiki Digest in Codex?

Run `npx skills add Ar9av/obsidian-wiki --skill wiki-digest -a codex`. Or copy the skill folder (.skills/wiki-digest in Ar9av/obsidian-wiki) into .agents/skills/wiki-digest in your project. Codex loads it when a task matches its description.

Can I use Wiki Digest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ar9av/obsidian-wiki --skill wiki-digest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wiki-digest, .gemini/skills/wiki-digest, .github/skills/wiki-digest and .opencode/skills/wiki-digest in your project.

What does Wiki Digest need to run?

SKILL.md names no scripts, command-line tools or credentials: Wiki Digest is instructions for the agent only.

Does Wiki Digest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wiki Digest safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Wiki Digest use?

Wiki Digest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wiki Digest use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wiki Digest?

Skills that share tags, products or a category with Wiki Digest: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), LLM Wiki (zosmaai/pi-llm-wiki, 608 stars), LLM Wiki (praneybehl/llm-wiki-plugin, 118 stars) and Karpathy Wiki (SherwinQ/karpathy-wiki, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki Digest?

Ar9av (a GitHub user) maintains it in Ar9av/obsidian-wiki, which has 3,538 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 8, 2026.

Source: Ar9av/obsidian-wiki on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.