Agent skill

Wiki Capture

by Ar9av in Ar9av/obsidian-wiki

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

MITAuto-check: notesKnowledge Management

Install Wiki Capture

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

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

GitHub CLI
$ gh skill install Ar9av/obsidian-wiki wiki-capture --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-capture .claude/skills/wiki-capture && 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-capture
GitHub stars
3.5k
Token cost
~4.3k tokens
SKILL.md length
1,797 words
Files
2 (incl. references)
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 7 steps: Identify What's Worth Preserving → Classify the Content Type → Rewrite as Declarative Knowledge → …
  • Save/capture/preserve requests
  • SKILL.md covers Quick Mode (--quick), Correction Mode (--correction), Full Mode and Before You Start, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wiki Capture is an agent skill from Ar9av/obsidian-wiki. Turn the current conversation or finding into a structured permanent wiki note. Use for save/capture/preserve requests; QUICK MODE writes a fast raw/ note. Supports named-vault routing such as @research save this. This captures current discussion, not external source ingestion.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/RAW-FORMAT.md`).

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

  • Save/capture/preserve requests
  • QUICK MODE writes a fast raw/ note

Example prompts

  • “/wiki-capture”

Workflow steps

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

  1. Identify What's Worth Preserving
  2. Classify the Content Type
  3. Rewrite as Declarative Knowledge
  4. Generate a Slug and Title
  5. Write the Wiki Note
  6. Update Tracking Files
  7. Confirm to User

What it can do on your machine

Read from SKILL.md and the folder at commit 709727e. 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 Capture loads about 4.3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,797 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~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: notes

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

  • NoteMentions a .env fileSKILL.md:97
    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 709727e, republished under its MIT licence (© Ar9av). 1,797 words, ~4,253 tokens.

Download SKILL.mdSave it as .claude/skills/wiki-capture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
wiki-capture
description
Turn the current conversation or finding into a structured permanent wiki note. Use for save/capture/preserve requests; QUICK MODE writes a fast _raw/ note. Supports named-vault routing such as @research save this. This captures current discussion, not external source ingestion.

Wiki Capture — Conversation to Wiki Note

You are preserving knowledge from the current conversation as a permanent wiki note. The goal is to extract the substance — the knowledge itself — not a summary of what was said.

Writing profile: Before drafting or rewriting natural-language Markdown in any mode, 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.

This skill has three modes:

  • Full mode (default) — classify the content and write a finished, cross-linked wiki page directly into the right category. This is the rest of this document (Steps 1–7).
  • Quick mode (--quick) — zero-friction staging: drop findings to _raw/ in under 60 seconds with no manifest/index/log/QMD writes. Used for mid-session capture and by the session-end Stop hook. See below, then stop — do not run the full-mode steps.
  • Correction mode (--correction) — capture one atomic correction as derived knowledge while leaving the immutable conversation/source untouched. Use the template below, then update only the derived consumers and tracking links.

Quick Mode (--quick)

Trigger when invoked as /wiki-capture --quick, by "quick capture" / "capture this finding" / "save this bug fix" / "save this gotcha" / "drop this to raw" / "quick save to wiki", or automatically by the session-end Stop hook.

Speed contract: Inline only. No subagents. No QMD. No manifest/index.md/log.md/hot.md writes. Target: <60 seconds. Promotion to full wiki pages happens later via /wiki-ingest.

  1. Resolve config (Config Resolution Protocol in llm-wiki/SKILL.md): get OBSIDIAN_VAULT_PATH and OBSIDIAN_RAW_DIR (default: $OBSIDIAN_VAULT_PATH/_raw). Ensure $OBSIDIAN_RAW_DIR exists; create it if not.

    Capture does not independently reinterpret validator schema inputs. When OBSIDIAN_ALLOWED_LIFECYCLES, OBSIDIAN_ALLOWED_RELATIONSHIP_TYPES, OBSIDIAN_REQUIRED_TRUST_FIELDS, or OBSIDIAN_SCHEMA_SOURCE is present, preserve it for the downstream lint/trust consumer: CLI values take precedence over environment/config values, which take precedence over framework defaults, and explicit blank or whitespace-only values fail closed. Omit a variable to use defaults.

  2. Gate — KEEP or SKIP? Before extracting, judge whether this session has capture value. This keeps the skill safe to call automatically without spamming _raw/.

    • SKIP (exit with "Nothing worth capturing in this session.") if ALL are true: the conversation is purely conversational (planning/Q&A/explanation) with no implementation; no errors, debugging, or problem-solving visible; nothing surprising or undocumented; every finding is already obvious from the docs.
    • KEEP (proceed) if ANY are true: a fix or workaround was found through investigation; non-obvious library/API/framework behavior was confirmed (edge case, undocumented constraint, time-costing gotcha); a debugging session reached a concrete conclusion; a reusable pattern emerged.
    • When invoked via the Stop hook, err toward SKIP — only KEEP on clear evidence. When invoked manually, err toward KEEP — the user called it for a reason.
  3. Scan for reusable findings — non-obvious bugs and root causes, framework/library gotchas, surprising API behavior, investigated workarounds, environment/toolchain quirks, patterns from debugging. Skip PM updates, config already in CLAUDE.md, inconclusive back-and-forth, anything obvious from the docs, and pleasantries. If nothing material emerged, say so and stop.

  4. Cluster by topic — one _raw/ file per topic cluster, not per finding. Name each as a kebab-case slug (e.g. swift-actor-reentrancy, nextjs-hydration-mismatch).

  5. Infer project context from repo names, file paths, framework mentions, error messages. Use the most specific name you can reliably infer; else null.

  6. Write raw files — for each cluster, write $OBSIDIAN_RAW_DIR/<ISO-date>-<slug>.md. Read references/RAW-FORMAT.md for the full frontmatter spec, finding-block body structure, and provenance/confidence calibration. Per-cluster fields that vary: title, tags (2–4 from taxonomy), summary (≤200 chars), project (inferred or null), base_confidence (0.6 discussed → 0.75 fix applied → 0.9 test confirmed), provenance.extracted/provenance.inferred (sum to 1.0), lifecycle_changed (today), sources ("<project> session (<YYYY-MM-DD>)").

  7. Confirm — list staged files and tell the user to run /wiki-ingest to promote them:

    Staged to _raw/:
      _raw/2026-05-27-swift-actor-reentrancy.md   — "Actor reentrancy causes deadlock in async forEach"
    Run /wiki-ingest to promote these to full wiki pages.

    Quick mode deliberately does not write the manifest, index.md, log.md, hot.md, or refresh QMD — promotion via /wiki-ingest handles all of that. Stop here; do not run the full-mode steps below.


Correction Mode (--correction)

Use this mode when a user or stronger authority corrects a claim derived from an immutable conversation, tool result, or other raw source. Never edit or copy the raw source. Resolve config, read the vault AGENTS.md, and update an existing derived page when one owns the claim; otherwise create the smallest owner-compliant derived correction page.

Record exactly one atomic claim pair. speaker_type is semantic and must be assessed independently of a serialized message role (a tool result may be serialized as role=user). Do not include raw transcript excerpts.

yaml
correction_id: <stable-id>
source_locator: <immutable file:line or channel/thread/timestamp>
source_text_sha256: <64 lowercase hex chars>
serialized_role: <source role, if present>
speaker_type: user | assistant | teammate | tool_result | slack_member
original_claim:
  subject: <exact entity or capability>
  assertion: <single atomic value>
corrected_claim:
  subject: <same exact entity or capability>
  assertion: <single atomic value or null>
authority_class: contract | decision | code | test | deploy | runtime | db | narrative
verification_state: verified | inferred | unverified | contradicted
asserted_at: <ISO-8601 timestamp>
effective_at: <ISO-8601 timestamp or null>
as_of: <ISO-8601 timestamp>
supersedes: [<original-claim-id>]
consumer_propagation:
  kw: open | not_applicable | complete
  ob: open | not_applicable | complete
  requirements: open | not_applicable | complete
  code: open | not_applicable | complete
  tests: open | not_applicable | complete
  ai_memory: open | not_applicable | complete
corrected_at: <ISO-8601 timestamp>

Before any derived write, compute source_pre_sha256 directly from the immutable source and require it to equal source_text_sha256. After writing the correction and updating derived consumers, recompute source_post_sha256 from the same locator. Abort and report an immutability violation unless source_pre_sha256 == source_post_sha256 == source_text_sha256. This verification is mandatory even when the correction write succeeds.

After writing the derived correction, link the immutable source to the created/updated page through .manifest.json, append only the correction ID and affected-page counts to log.md, and propagate the atomic correction to every consumer independently. Mark a consumer complete only after verifying that consumer; do not collapse mixed results into a single aggregate status. Keep secrets, raw excerpts, and source copies out of the correction record.


Full Mode

Before You Start

  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 (default: wikilink).
  2. Read $OBSIDIAN_VAULT_PATH/index.md to understand existing wiki content (avoid duplicates)
  3. Read $OBSIDIAN_VAULT_PATH/hot.md if it exists — it gives context on recent activity

When writing internal links in Step 5, apply the link format from llm-wiki/SKILL.md (Link Format section) using the OBSIDIAN_LINK_FORMAT value.

Step 1: Identify What's Worth Preserving

Scan the conversation. Ask: what knowledge emerged here that would be valuable in 3 months with no memory of this chat?

Worth preserving:

  • Decisions made and why they were made
  • Analysis, frameworks, mental models developed
  • Technical findings, patterns, or procedures
  • Synthesized understanding of a topic
  • Clear explanations of a concept that took effort to arrive at
  • Key facts from an external source discussed in the conversation

Skip:

  • Logistics, scheduling, pleasantries
  • Exploratory back-and-forth where no conclusion was reached
  • Content that's already in the wiki

If nothing material emerged, tell the user and stop.

Step 2: Classify the Content Type

Assign one of five types — this determines the target folder and tone:

TypeDescriptionTarget folder
synthesisMulti-step analysis or an answer to a specific question that required reasoningsynthesis/
conceptA definition, framework, or mental model (what a thing is)concepts/
sourceSummary of an external document, article, or resource discussedreferences/
decisionA strategic, architectural, or design choice and its rationalesynthesis/
sessionA complete discussion summary when the conversation spans multiple topicsjournal/

If the content clearly belongs to a specific project (detected from context or user mention), place it under projects/<project-name>/<category>/ instead.

Show full SKILL.md (680 more words)Show less

Step 3: Rewrite as Declarative Knowledge

Do not write a summary of the conversation. Write the knowledge itself, in declarative present tense:

  • Not: "The user asked about X and Claude explained that..."
  • Yes: "X works by..."
  • Not: "We decided to use Y because..."
  • Yes: "Y is preferred over Z because [reason]. [^[inferred] if the rationale was implied, not stated explicitly]"

Apply provenance markers per llm-wiki:

  • Extracted — explicitly stated in the conversation (no marker)
  • Inferred — generalized or synthesized from the conversation → ^[inferred]
  • Ambiguous — disputed, uncertain, or contradictory → ^[ambiguous]

Step 4: Generate a Slug and Title

Derive a clear, descriptive title from the content. Slugify it:

  • Lowercase, words separated by hyphens
  • Max 50 characters
  • Avoid dates in the slug (the frontmatter has created)

Step 5: Write the Wiki Note

Create the file at the target path with required frontmatter:

yaml
---
title: >-
  <Title>
category: <synthesis|concepts|references|journal|skills>
tags: [<2-5 domain tags from taxonomy>]
sources:
  - conversation:<ISO-date>
created: <ISO-8601 timestamp>
updated: <ISO-8601 timestamp>
summary: >-
  <1-2 sentences, ≤200 chars, answering "what knowledge does this page hold?">
provenance:
  extracted: 0.X
  inferred: 0.X
  ambiguous: 0.X
base_confidence: 0.42
lifecycle: draft
lifecycle_changed: <ISO date today>
---

Body structure by type:

synthesis / decision:

markdown
# Title

## Context
<What prompted this — the problem or question being addressed>

## Finding / Decision
<The core knowledge or conclusion>

## Reasoning
<Why this is the case or why this choice was made>

## Implications
<What follows from this — what to watch for, next steps, trade-offs>

## Related
<[[wikilinks]] to connected pages>

concept:

markdown
# Title

<Definition in one clear sentence.>

## What It Is
<Explanation of the concept>

## How It Works
<Mechanism or structure>

## When to Use
<Applicability, conditions, trade-offs>

## Related
<[[wikilinks]]>

source:

markdown
# Title

> Source: <title or URL>

## What It Covers
<What the source is about>

## Key Points
<Bulleted claims with provenance markers>

## Open Questions
<What it raises but doesn't answer — omit if none>

## Related
<[[wikilinks]]>

session:

markdown
# Title

*Session captured: <date>*

## Topics Covered
<Brief list>

## Key Takeaways
<The 3-5 most important things that emerged>

## Decisions Made
<Any explicit decisions, with rationale>

## Open Questions
<What remains unresolved>

## Related
<[[wikilinks]]>

Every note must link to at least 2 existing wiki pages. Search index.md before writing. If fewer than 2 related pages exist, create minimal stubs for the most important concepts referenced.

Step 5b: Update the Owner Profile and Todo Index

The memory surface is only as good as what gets written into it. This is the step that keeps it alive — without it the profile stays empty and the session recap has nothing to inject.

Durable facts about the person. If the conversation revealed something stable about how the user works — their stack, their conventions, their constraints, their timezone — record it:

bash
obsidian-wiki memory profile set <key> "<value>" --confidence 0.85 --source "session:<date>"

Apply the same KEEP/SKIP discipline as Step 1, and one extra rule that matters more:

  • Only what the user actually told you, directly or by clear demonstration. Never infer a durable fact about a person from a document that was ingested — that is the document's content and belongs on a page, not in their profile.
  • Stable, not incidental. "Uses Postgres" is a fact. "Ran a migration today" is an event; that belongs in the log.
  • Calibrate the confidence. Stated outright is ~0.9. Demonstrated repeatedly is ~0.75. Inferred from one session's behaviour is ~0.5 — and if you are below 0.5, do not write it at all.
  • Correct, don't duplicate. profile set replaces an existing key, so updating a changed fact is the same command.

Open threads. If the conversation left work unfinished, record it so the next session picks it up:

bash
obsidian-wiki memory todo add "<the open thread>" --origin "<page or project>"

Re-adding an open thread with the same text touches it rather than duplicating, so this is safe to call when you are unsure whether it already exists. If the conversation closed a thread that is already listed, close it:

bash
obsidian-wiki memory todo list --vault "$OBSIDIAN_VAULT_PATH"
obsidian-wiki memory todo done <id>

Never close a thread the user did not actually finish. Staleness is reported by the tooling; it is not your job to tidy the list.

In quick mode, do this step but skip Step 6 — profile and todo writes are cheap, locked, and are the whole point of capturing.

Step 6: Update Tracking Files

One locked call updates all three:

bash
obsidian-wiki memory sync CAPTURE \
  type=<type> page="<path>" title="<title>" \
  --takeaways "<what this capture changes about the picture, if anything>"

Never hand-edit index.md, log.md, or hot.md — see .skills/llm-wiki/references/MEMORY.md. Omit --takeaways when the capture does not shift the overall picture; the previous takeaways carry across.

Step 7: Confirm to User

Report the saved path and title:

Saved to: projects/<name>/synthesis/<slug>.md
Title: <Title>
Type: synthesis

Quality Checklist

  • Content rewritten as declarative knowledge (not a chat transcript)
  • Type classified correctly; target path is in the right folder
  • Frontmatter complete with title, category, tags, sources, summary, provenance
  • At least 2 wikilinks to existing pages
  • index.md, log.md, and hot.md updated
  • Confirmed save path to user

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

SKILL.md and 1 other file (references) in .skills/wiki-capture of Ar9av/obsidian-wiki.

  • SKILL.md
  • references/RAW-FORMAT.md

Open the folder on GitHubat commit 709727e

Compare with similar skills

Wiki Capture 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 Capture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki Capture this skillAr9av/obsidian-wiki3.5k—~4.3kAutomated safety check: NotesMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Obsidian CLI Read TransportAgriciDaniel/claude-obsidian15k1 repos~762Automated safety check: PassMIT
LLM Wikizosmaai/pi-llm-wiki606—~4.4kAutomated safety check: PassMIT
LLM Wikipraneybehl/llm-wiki-plugin118—~5.7kAutomated safety check: PassMIT
Karpathy WikiSherwinQ/karpathy-wiki113—~967Automated safety check: PassMIT

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Works with

Questions about Wiki Capture

What does Wiki Capture do?

Turn the current conversation or finding into a structured permanent wiki note. Wiki Capture is an agent skill from Ar9av/obsidian-wiki. Turn the current conversation or finding into a structured permanent wiki note.

When should I use Wiki Capture?

Wiki Capture fits situations like: save/capture/preserve requests; QUICK MODE writes a fast raw/ note.

How do I install Wiki Capture in Claude Code?

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

How do I install Wiki Capture in Codex?

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

Can I use Wiki Capture 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-capture -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-capture, .gemini/skills/wiki-capture, .github/skills/wiki-capture and .opencode/skills/wiki-capture in your project.

What does Wiki Capture need to run?

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

Does Wiki Capture 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 Capture 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 Capture use?

Wiki Capture 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 Capture use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 729 tokens, read only when the agent opens those files.

What are the alternatives to Wiki Capture?

Skills that share tags, products or a category with Wiki Capture: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Obsidian CLI Read Transport (AgriciDaniel/claude-obsidian, 15k stars), LLM Wiki (zosmaai/pi-llm-wiki, 606 stars) and LLM Wiki (praneybehl/llm-wiki-plugin, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki Capture?

Ar9av (a GitHub user) maintains it in Ar9av/obsidian-wiki, which has 3,532 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 7, 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.