Agent skill

Knowledge Wiki Cluster

by CatChen in CatChen/knowledge-wiki-template

Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it.

MITAuto-check passedKnowledge Management

Install Knowledge Wiki Cluster

skills CLI
$ npx skills add CatChen/knowledge-wiki-template --skill knowledge-wiki-cluster -a claude-code

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

GitHub CLI
$ gh skill install CatChen/knowledge-wiki-template knowledge-wiki-cluster --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/CatChen/knowledge-wiki-template.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/knowledge-wiki-cluster .claude/skills/knowledge-wiki-cluster && 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
knowledge-wiki-cluster
GitHub stars
106
Token cost
~5k tokens
SKILL.md length
2,497 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it.

  • Works in 5 steps: Establish the working directory → Find clusters → LLM pre-filter → …
  • Knowledge Management work in your project
  • Calls node and git

What it does

Knowledge Wiki Cluster is an agent skill from CatChen/knowledge-wiki-template. Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it. For each child, fold (merge content into parent and delete child), link (keep as standalone, linked to parent), or merge into a sibling that already covers its content. Net result: fewer total concepts and a fully linked hierarchy. Run after accumulating new concepts or when the wiki has clusters of narrowly-named sub-concepts without a parent.

Its SKILL.md is about 5k 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. The licence is MIT.

When your agent uses it

  • Knowledge Management work in your project

Example prompts

  • “/knowledge-wiki-cluster”

Workflow steps

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

  1. Establish the working directory
  2. Find clusters
  3. LLM pre-filter
  4. Present and resolve each cluster
  5. Print summary

What it can do on your machine

Read from SKILL.md and the folder at commit 77b9be8. 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

    Shell commands in SKILL.md call:

    • node
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Knowledge Wiki Cluster loads about 5k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 2,497 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~5k

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 passed

The automated check found no risky patterns in SKILL.md.

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 CatChen/knowledge-wiki-template at commit 77b9be8, republished under its MIT licence (© CatChen). 2,497 words, ~5,002 tokens.

Download SKILL.mdSave it as .claude/skills/knowledge-wiki-cluster/SKILL.md (or your agent's skills folder).
name
knowledge-wiki-cluster
description
Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it. For each child, fold (merge content into parent and delete child), link (keep as standalone, linked to parent), or merge into a sibling that already covers its content. Net result: fewer total concepts and a fully linked hierarchy. Run after accumulating new concepts or when the wiki has clusters of narrowly-named sub-concepts without a parent.

Knowledge Wiki Cluster

Detect clusters of concepts that share an implied parent slug, then decide for each child whether to fold (merge content into parent and delete the child) or link (keep the child as a standalone concept linked to the parent). The goal is to reduce total concept count by absorbing thin, redundant, or retired sub-concepts into a parent article.

Two cluster types are handled:

  • New-parent (parentExists: false): the implied parent concept does not exist yet — create it, then fold/link/merge children.
  • Existing-parent (parentExists: true): the implied parent already exists and these children have not yet been dismissed — fold/link/merge each one.

For new-parent clusters, each concept is grouped under its non-existing prefix ancestors up to (but not including) its nearest existing ancestor — so apple-watch-ultra forms an [apple-watch] cluster when apple-watch.md is absent, even if apple.md exists. For existing-parent clusters, the concept is grouped directly at its nearest existing ancestor. Presents one cluster at a time with a batch recommendation — you confirm, override, or dismiss.

Within a cluster, children may also be merged into each other (sibling merging) before any folding into the parent. A child judged not worth folding into the parent — an Anchor — can absorb another child's content if that child — a Fold-candidate — is a strict subset of the Anchor's content. The absorbed Fold-candidate is merged into the Anchor and deleted; the Anchor is recommended to stay standalone and is not expected to be folded into the parent.

Steps

1. Establish the working directory

The knowledge base root is the Git repository root. Run git rev-parse --show-toplevel and store the result as KNOWLEDGE_PATH.

2. Find clusters

Run:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/candidates.mjs find-implied-parent-concepts

This outputs { "clusters": [...] } sorted deepest first (most hyphens in impliedParent), with ties broken by cluster size descending. Both new-parent and existing-parent clusters are interleaved in this single ordering. Each entry has:

  • impliedParent — the parent slug
  • children — array of { path, dismissed } objects, where path is the concept file path (e.g. Wiki/Concepts/audi-etron.md) and dismissed is true if this child was previously dismissed from this cluster pair, false otherwise
  • parentExists — false if the parent concept needs to be created; true if it already exists

A cluster appears only when it has at least the usual number of dismissed: false children (≥2 for new-parent, ≥1 for existing-parent). Previously dismissed children are included with dismissed: true as potential Anchor targets for sibling merges.

Derive each child's slug from its path field: Wiki/Concepts/audi-etron.md → audi-etron. Use this slug wherever {child-slug} appears below.

If the clusters array is empty, print No clusters found. and stop.

3. LLM pre-filter

For new-parent clusters only (parentExists: false), auto-dismiss clusters where the implied parent is a common English modifier rather than a meaningful proper noun or specific topic — e.g. smart grouping smart-home with smart-money, or the grouping the-economist with the-expanse. Children spanning clearly unrelated domains are a reliable signal for auto-dismissal. Skip this filter for existing-parent clusters — the parent's existence already confirms it is a real topic.

For each auto-dismissed cluster, run once per child:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-state.mjs dismiss-pair knowledge-wiki-cluster "Wiki/Concepts/{impliedParent}.md" "Wiki/Concepts/{child-slug}.md"

Be conservative — wrongly dismissed pairs require manually editing Wiki/.state.json to recover.

4. Present and resolve each cluster

Process one cluster at a time. Use a separate interaction for each cluster — never combine multiple clusters into a single question, even if you intend to recommend the same action for several in a row. When using AskUserQuestion, pass exactly one question per call. Never use the multi-question form to batch clusters.

Maintain an in-memory processed set of impliedParent slugs handled in this session. After creating a parent, exclude already-processed slugs from the refreshed cluster list.


4a. Read, summarize, and assess

Determine the Display Name for the implied parent before presenting:

  • If parentExists is true, read the parent concept file and take the Display Name from its H1 heading (# …). This preserves the exact capitalisation already in use (e.g. ios → "iOS", macos → "macOS").
  • If parentExists is false, derive a human-readable name from the slug (e.g. audi → Audi, apple-watch → Apple Watch, career → Career).

Read every child concept file, then classify each one in two passes:

  1. Fold vs. Anchor. dismissed: true children are Anchors automatically — the previous decision that they don't belong as primary children of this parent stands; no independent judgment needed. For dismissed: false children, independently judge each as a Fold-candidate (thin, narrow, or low-standalone-value — would fold into the parent) or an Anchor (substantive: rich prose, multiple sources, or broad cross-links — would stay standalone). This judgment must not depend on any other child in the cluster.
  2. Sibling merges. For each dismissed: false Fold-candidate, check whether its content is a strict subset of any Anchor's content in the same cluster (whether that Anchor is dismissed: true or dismissed: false) — i.e. the Fold-candidate adds nothing the Anchor doesn't already cover, not merely "related" or "similar". If so, recommend Merge into {anchor-slug} instead of Fold. Anchors only absorb — an Anchor is recommended to stay standalone and is not expected to be folded or merged away.

Present a cluster summary as a 3-column table with each child's description and recommendation inline. Output the table as a normal assistant message (not in a code block) so it renders — this message must be sent before calling any interactive question tool:


Cluster: {Display Name} ({N} children, {existing parent | new parent})

ChildDescriptionRecommendation
{child-slug}{one-sentence description}Fold — {reason}
{child-slug}{one-sentence description}Link — {reason}
{child-slug} (dismissed){one-sentence description}Link — previously dismissed; auto-classified as Anchor
{child-slug}{one-sentence description}Merge into {anchor-slug} — {reason: what subset of the anchor's content this duplicates}

Then write 1–2 sentences of reasoning: what the children have in common, whether creating a parent would add meaningful value, and call out any proposed sibling merges.

4b. Ask what to do

Use "What would you like to do with the {Display Name} cluster?" as the question text. Never put (Recommended) on Dismiss. The remaining guidance differs by cluster type:

If parentExists is false (new-parent cluster): Add (Recommended) to Proceed only when the cluster is a clear brand, product line, or named topic with 3+ children that obviously belong under it and at least one child is recommended for folding or merging into a sibling.

#OptionDescription
1ProceedCreate "{Display Name}" and apply the recommendations above (fold, link, or merge into a sibling)
2Link allCreate "{Display Name}" and link all children to it, keeping them standalone (overrides any sibling-merge recommendations)
3Fold allCreate "{Display Name}" and fold every child into it (overrides any sibling-merge recommendations)
4DismissThese don't belong together; never show this cluster again (no parent created)

Users may also type skip (leave for now; show again next run), review one by one (create parent then decide each child individually), or stop (halt all remaining clusters) in the Other field.

If parentExists is true (existing-parent cluster): Add (Recommended) to Proceed when at least one child is recommended for folding or merging into a sibling.

#OptionDescription
1ProceedEnsure bidirectional links to "{Display Name}" and apply the recommendations above (fold, link, or merge into a sibling)
2Link allLink all children to "{Display Name}" but keep them standalone (overrides any sibling-merge recommendations)
3Fold allLink all children to "{Display Name}" and fold every child into it (overrides any sibling-merge recommendations)
4DismissThe slug prefix is coincidental; never show this cluster again (no links created)

Users may also type skip (leave for now; show again next run), review one by one (link to parent then decide each child individually), or stop (halt all remaining clusters) in the Other field.

When using an interactive question/options tool, keep the question text short: "What would you like to do with the {Display Name} cluster?" Do not cram the summary, reasoning, or option details into one long question line.

The user must still be able to see the full decision context while choosing: the cluster summary, recommendation reasoning, all four options, and the extra accepted inputs. This context may be in the tool's body/details area, or in an immediately preceding assistant message if that message remains expanded and visible while the dialog is open. If the available question tool cannot keep that context visible together with the options, do not use it for this prompt. Instead, render the summary, reasoning, numbered options, and reply instructions as one normal markdown message, then wait for the user's reply. Accept 1, 2, 3, or 4; also accept skip, review one by one, or stop to halt all remaining clusters.


4c. Collecting and executing decisions

Do not create or edit any files until all decisions are collected. If stop is entered at any point during decision collection, proceed to section 4f without creating any files.

4c.1 If Proceed

Record the 4a table recommendations as final decisions — Fold into the parent, Link (Anchor), or Merge into {anchor-slug} for each child. Proceed to 4c.5.

Record every dismissed: false child as Link (standalone), overriding any sibling-merge or fold recommendations. dismissed: true children are unaffected — they remain background Anchors. Proceed to 4c.5.

Show full SKILL.md (1,015 more words)Show less
4c.3 If Fold all

Record every dismissed: false child as Fold into the parent, overriding any sibling-merge recommendations. dismissed: true children are never folded — they are Anchors by definition and remain standalone. Proceed to 4c.5.

4c.4 If Review one by one

Process sibling-merge candidates first, then remaining children.

For each Anchor that has one or more Fold-candidates recommended to merge into it (per the 4a table), present your reasoning, then ask:

When using an interactive question/options tool, keep the question text short: "Merge {Fold-candidate display name(s)} into {Anchor display name}?" Do not cram the recommendation, reasoning, or option details into one long question line.

The user must still be able to see the full decision context while choosing: the recommendation, reasoning, both options, and the done/stop instructions. This context may be in the tool's body/details area, or in an immediately preceding assistant message if that message remains expanded and visible while the dialog is open. If the available question tool cannot keep that context visible together with the options, do not use it for this prompt. Instead, render the recommendation, reasoning, numbered options, and reply instructions as one normal markdown message, then wait for the user's reply.

Use these options (add (Recommended) to whichever applies):

#OptionDescription
1Merge into "{Anchor display name}"Merge the listed child(ren)'s content into "{Anchor display name}", then delete them. "{Anchor display name}" stays standalone
2DeclineKeep the listed child(ren) separate; each will be reviewed individually below

Accept: 1 (Merge), 2 (Decline), done (proceed with decisions collected so far — unprocessed Anchors are treated as Decline and unprocessed remaining children are treated as Link), or stop.

If stop was entered, proceed to section 4f without creating any files.

If declined, each listed Fold-candidate falls back to individual review below.

For every remaining dismissed: false child — Fold-candidates not absorbed by an Anchor (via Decline or no Anchor match), and dismissed: false Anchors — process one at a time. (dismissed: true Anchors are not re-evaluated here; they only appear as sibling-merge targets in the Anchor-confirmation step above.) Present your recommendation and reasoning for that child, then ask:

When using an interactive question/options tool, keep the question text short: "What should happen to {child-display-name}?" Do not cram the recommendation, reasoning, or option details into one long question line.

The user must still be able to see the full decision context while choosing: the child recommendation, reasoning, both options, and the done/stop instructions. This context may be in the tool's body/details area, or in an immediately preceding assistant message if that message remains expanded and visible while the dialog is open. If the available question tool cannot keep that context visible together with the options, do not use it for this prompt. Instead, render the recommendation, reasoning, numbered options, and reply instructions as one normal markdown message, then wait for the user's reply.

Use these options (add (Recommended) to whichever applies):

#OptionDescription
1Fold "{child-display-name}" into "{Display Name}"Merge child's content into parent, then delete child
2Link "{child-display-name}"Keep child standalone; will be linked to parent

Accept: 1 (Fold), 2 (Link), done (proceed with decisions collected so far — unprocessed children will be treated as Link), or stop.

If stop was entered, proceed to section 4f without creating any files.

4c.5 After collecting decisions

If parentExists is true, the parent concept file already exists — skip ahead to Execute sibling merges.

If parentExists is false and at least one dismissed: false child has a final outcome of Fold or Link, create the parent concept:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-concept.mjs create "{impliedParent}" "{Display Name}" --type Synthesis --icon notepad

This creates Wiki/Concepts/{impliedParent}.md.

Read the file, then insert a 1–3 paragraph topic overview between # {Display Name} and ## Sources. Write it as a factual reference — what this topic is and what sub-concepts exist under it. Keep it concise; each Fold will enrich the body incrementally. Use American English spelling. Update the existing tags: [] field with the union of tags from the child files, keeping only those that genuinely describe the parent topic.

bash
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-index.mjs upsert-concept "{impliedParent}" "{Display Name}" "{one-line English description}"

Execute sibling merges:

For each child whose final outcome is Merge into {anchor-slug}, execute the knowledge-wiki-merge step 3c with this mapping:

  • primary = anchor: slug {anchor-slug}, display name {anchor-display-name}, path Wiki/Concepts/{anchor-slug}.md
  • secondary = child: slug {child-slug}, display name {child-display-name}, path Wiki/Concepts/{child-slug}.md

Run this before linking or folding — a merged-away child is deleted and must not be linked to the parent or folded into it.

Link children bidirectionally (idempotent):

For each dismissed: false child with final outcome Link, derive its display name from its H1 heading (# …). Run both commands — the first adds the child to the parent's Connected Concepts, the second adds the parent to the child's:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-concept.mjs insert-connected-concept "{impliedParent}" "{child-slug}" "{child-display-name}"
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-concept.mjs insert-connected-concept "{child-slug}" "{impliedParent}" "{Display Name}"

dismissed: true Anchors are never linked to the parent, even if they absorbed a sibling merge — the previous decision not to connect them stands.

Record linked children:

For each dismissed: false child where Link was chosen, record a dismissed pair so the child is not re-evaluated in future runs. (dismissed: true children already have a dismissed pair recorded — do not run this for them.) Run this after the link commands above succeed:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-state.mjs dismiss-pair knowledge-wiki-cluster "Wiki/Concepts/{impliedParent}.md" "Wiki/Concepts/{child-slug}.md"

Execute folds:

For each dismissed: false child where Fold was chosen, execute the knowledge-wiki-merge step 3c with this mapping:

  • primary = parent: slug {impliedParent}, display name {Display Name}, path Wiki/Concepts/{impliedParent}.md
  • secondary = child: slug {child-slug}, display name {child-display-name}, path Wiki/Concepts/{child-slug}.md

Wrap up:

This runs whether or not all children were processed. Add {impliedParent} to the in-memory processed set. Re-run:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/candidates.mjs find-implied-parent-concepts

Replace your working cluster list with this fresh output, excluding any slug already in the processed set.


4d. If Dismiss or "skip" was selected

If Dismiss: run dismiss-pair once per child so each individual relationship is suppressed rather than the whole parent slug:

bash
node {KNOWLEDGE_PATH}/scripts/wiki/wiki-state.mjs dismiss-pair knowledge-wiki-cluster "Wiki/Concepts/{impliedParent}.md" "Wiki/Concepts/{child-slug}.md"

If new children appear under the same parent later, they will resurface — only the specific children dismissed here are suppressed.

If "skip" (leave for now; show again next run): make no state changes. Simply add {impliedParent} to the in-memory processed set for this session so it is not presented again during the current run.

Add {impliedParent} to the processed set and continue. (No refresh needed — no concept files were created.)

4f. If "stop"

Exit the loop and proceed to step 5.


5. Print summary
Knowledge Wiki Cluster

Auto-dismissed {N} cluster(s) (meaningless prefix):
  - [{impliedParent}]

Created {N} concept(s):
  - {impliedParent} — {Display Name}
      Folded {Nf} child(ren): {child-slug}, {child-slug}, ...
      Not folded {Nn} child(ren): {child-slug}, {child-slug}, ...

Merged {N} child(ren) into sibling(s):
  - {child-slug} → {anchor-slug}

Dismissed {N} cluster(s):
  - [{impliedParent}]

Skipped {N} cluster(s).
[Omit any section with 0 items.]

© CatChen, 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 .claude/skills/knowledge-wiki-cluster of CatChen/knowledge-wiki-template.

Open the folder on GitHubat commit 77b9be8

Compare with similar skills

Knowledge Wiki Cluster 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.

Knowledge Wiki Cluster compared with similar skills
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Obsidian CLIAtmosphere/atmosphere3.8k13 repos~795Automated safety check: PassApache-2.0
Esm Cjs Risk Scanlogseq/logseq45k—~3.3kAutomated safety check: PassAGPL-3.0
Karpathy LLM WikiAstro-Han/karpathy-llm-wiki2.4k—~3.6kAutomated safety check: PassMIT

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Questions about Knowledge Wiki Cluster

What does Knowledge Wiki Cluster do?

Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it. Knowledge Wiki Cluster is an agent skill from CatChen/knowledge-wiki-template. Find groups of concepts that share an implied parent slug and handle them: if the parent does not exist, create it; if it already exists, link unconnected children to it.

When should I use Knowledge Wiki Cluster?

Knowledge Wiki Cluster fits situations like: knowledge Management work in your project.

How do I install Knowledge Wiki Cluster in Claude Code?

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

How do I install Knowledge Wiki Cluster in Codex?

Run `npx skills add CatChen/knowledge-wiki-template --skill knowledge-wiki-cluster -a codex`. Or copy the skill folder (.claude/skills/knowledge-wiki-cluster in CatChen/knowledge-wiki-template) into .agents/skills/knowledge-wiki-cluster in your project. Codex loads it when a task matches its description.

Can I use Knowledge Wiki Cluster 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 CatChen/knowledge-wiki-template --skill knowledge-wiki-cluster -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/knowledge-wiki-cluster, .gemini/skills/knowledge-wiki-cluster, .github/skills/knowledge-wiki-cluster and .opencode/skills/knowledge-wiki-cluster in your project.

What does Knowledge Wiki Cluster need to run?

Going by SKILL.md and its folder, Knowledge Wiki Cluster needs the command-line tools its instructions call (node and git).

Does Knowledge Wiki Cluster access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Knowledge Wiki Cluster safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Knowledge Wiki Cluster use?

Knowledge Wiki Cluster 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 Knowledge Wiki Cluster use?

About 5k tokens (SKILL.md is roughly 20k 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 Knowledge Wiki Cluster?

Skills that share tags, products or a category with Knowledge Wiki Cluster: Logseq Review Workflow Eval (logseq/logseq, 45k stars), Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars), Obsidian CLI (Atmosphere/atmosphere, 3.8k stars) and Esm Cjs Risk Scan (logseq/logseq, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Knowledge Wiki Cluster?

CatChen (a GitHub user) maintains it in CatChen/knowledge-wiki-template, which has 106 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on June 24, 2026.

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