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Ar9avAr9av/obsidian-wiki/skills/openclaw-history-ingest/SKILL.md

openclaw-history-ingest

Skill3.7k starsChanged 10 days agoMITView on GitHub

Ingest OpenClaw session/history data into Obsidian as distilled knowledge. Use for importing or mining ~/.openclaw sessions, memory files, or logs; use wiki-agent for targeted topic-only cross-agent recall.

  • Reads credentials

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Who's talking about Ar9av/obsidian-wiki

The biggest 5 of 27 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 27

Talked about on GitHub and Bluesky (27 times).

On GitHub · 25

20 more on GitHub

On Bluesky · 2

The file

Show its rules and text

We split this skill into the rules it gives an agent

23 rules. About 0 are common, 12 are distinctive, and 11 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈12

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 11

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Writing profile: Before drafting or rewriting natural-language Markdown, read and apply the Writing Profile Resolution section in …

    line 15
  2. Very specific:

    Read .manifest.json at the vault root to check what has already been ingested

    line 19
  3. Very specific:

    Read index.md at the vault root to understand what the wiki already contains

    line 20
  4. Very specific:

    Check .manifest.json for each source file.

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  5. Distinctive:

    Use this mode for regular syncs.

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  6. Distinctive:

    Read it in full and extract concept-level knowledge.

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  7. Distinctive:

    Remove API keys, tokens, passwords, credentials

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  8. Distinctive:

    Do not create one wiki page per session or per MEMORY.md entry.

    line 135
  9. Very specific:

    Use session cwd or workspace path to infer project scope when available

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  10. Distinctive:

    Avoid "on date X we discussed..." unless date context is essential

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  11. Very specific:

    Add summary: frontmatter on each new/updated page (1–2 sentences, ≤ 200 chars)

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  12. Distinctive:

    Add confidence and lifecycle fields to every new page:

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  13. Very specific:

    Leave lifecycle unchanged on update.

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  14. Very specific:

    Add/update provenance: frontmatter mix for each changed page

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  15. Distinctive:

    Add/update a top-level summary block:

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  16. Very specific:

    Update index.md, log.md, and hot.md with one locked call:

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  17. Very specific:

    Never hand-edit index.md, log.md, or hot.md — the command takes the lock that keeps a parallel writer from dropping your update.

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  18. Distinctive:

    Default to redaction for anything that looks sensitive

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  19. Distinctive:

    Ask the user before storing personal or sensitive details

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  20. Distinctive:

    Keep references to other people minimal and purpose-bound

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  21. Very specific:

    Use $QMD_CLI if set; otherwise use qmd.

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  22. Distinctive:

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

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  23. Distinctive:

    Verify the collection with either:

    line 243

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

OpenClaw History Ingest — Session & Memory Mining

You are extracting knowledge from the user's OpenClaw agent history and distilling it into the Obsidian wiki. OpenClaw stores both a structured long-term MEMORY.md and per-session JSONL transcripts — focus on durable knowledge, not operational telemetry.

This skill can be invoked directly or via the wiki-history-ingest router (/wiki-history-ingest openclaw).

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 OPENCLAW_HISTORY_PATH (defaults to ~/.openclaw)
  2. Read .manifest.json at the vault root to check what has already been ingested
  3. Read index.md at the vault root to understand what the wiki already contains

Ingest Modes

Append Mode (default)

Check .manifest.json for each source file. Only process:

  • Files not in the manifest (new session logs, updated MEMORY.md or daily notes)
  • Files whose modification time is newer than ingested_at in the manifest

Use this mode for regular syncs.

Full Mode

Process everything regardless of manifest. Use after wiki-rebuild or if the user explicitly asks for a full re-ingest.

OpenClaw Data Layout

OpenClaw stores all local artifacts under ~/.openclaw/.

~/.openclaw/
├── openclaw.json                          # Global config
├── credentials/                           # Auth tokens (skip entirely)
├── workspace/                             # Agent workspace
│   ├── MEMORY.md                          # Long-term memory (loaded every session)
│   ├── DREAMS.md                          # Optional dream diary / summaries
│   └── memory/
│       ├── YYYY-MM-DD.md                  # Daily notes (today + yesterday auto-loaded)
│       └── ...
└── agents/
    └── <agentId>/
        ├── agent/
        │   └── models.json                # Agent config (skip)
        └── sessions/
            ├── sessions.json              # Session index
            └── <sessionId>.jsonl          # Session transcript (JSONL, append-only)

Key data sources ranked by value

  1. workspace/MEMORY.md — highest signal; long-term durable facts the agent accumulated
  2. workspace/memory/YYYY-MM-DD.md — daily notes; recent entries often contain active project context
  3. agents/*/sessions/<id>.jsonl — session transcripts; rich but noisy
  4. agents/*/sessions/sessions.json — session index for inventory and timestamps
  5. workspace/DREAMS.md — optional summaries; ingest if present

Skip credentials/ entirely. Skip agents/*/agent/models.json (runtime config, not user knowledge).

Step 1: Survey and Compute Delta

Scan OPENCLAW_HISTORY_PATH and compare against .manifest.json:

  • ~/.openclaw/workspace/MEMORY.md
  • ~/.openclaw/workspace/DREAMS.md (if present)
  • ~/.openclaw/workspace/memory/*.md
  • ~/.openclaw/agents/*/sessions/sessions.json
  • ~/.openclaw/agents/*/sessions/*.jsonl

Classify each file:

  • New — not in manifest
  • Modified — in manifest but file is newer than ingested_at
  • Unchanged — already ingested and unchanged

Report a concise delta summary before deep parsing.

Step 2: Parse MEMORY.md First

MEMORY.md is the highest-value source. It is plain markdown, human-readable and human-editable. It typically contains:

  • Durable facts about the user's preferences, environment, and recurring patterns
  • Decisions and context the agent was told to remember
  • Project-specific notes the agent accumulated over many sessions

Read it in full and extract concept-level knowledge. Do not create one wiki page per MEMORY.md entry — cluster by topic.

Step 3: Parse Daily Notes

workspace/memory/YYYY-MM-DD.md files contain time-stamped notes from that day's sessions. Prioritize recent files (last 30–90 days). Extract:

  • Active project context and decisions made
  • Patterns or techniques discovered
  • Recurring blockers or solved problems

Older daily notes have diminishing signal — summarize in bulk rather than extracting line-by-line.

Step 4: Parse Session JSONL Safely

Each session file is JSONL (append-only, one JSON object per line):

{"role": "user",      "content": "...", "timestamp": "..."}
{"role": "assistant", "content": "...", "timestamp": "..."}
{"role": "tool",      "name": "...",   "content": "...", "timestamp": "..."}

Extraction rules

  • Prioritize assistant turns that state conclusions, decisions, or patterns
  • Extract user intent from high-signal turns; skip low-information follow-ups
  • Tool calls are context, not primary knowledge — only extract if the result contains a reusable insight
  • Cross-reference sessions.json index to get session names/labels before opening individual transcripts

Critical privacy filter

Session transcripts can include injected instructions, tool payloads, and sensitive text. Do not ingest verbatim.

  • Remove API keys, tokens, passwords, credentials
  • Redact private identifiers unless relevant and user-approved
  • Summarize; do not quote raw transcripts verbatim

Step 5: Cluster by Topic

Do not create one wiki page per session or per MEMORY.md entry.

  • Group by stable topic (concept, tool, project, technique)
  • Split mixed sessions into separate themes
  • Merge recurring patterns across dates and agents
  • Use session cwd or workspace path to infer project scope when available

Step 6: Distill into Wiki Pages

Route extracted knowledge using existing wiki conventions:

  • Project-specific architecture/process → projects/<name>/...
  • General concepts → concepts/
  • Recurring techniques/debug playbooks → skills/
  • Tools/services/frameworks → entities/
  • Cross-session patterns → synthesis/

For each impacted project, create/update projects/<name>/<name>.md.

Writing rules

  • Distill knowledge, not chronology
  • Avoid "on date X we discussed..." unless date context is essential
  • Add summary: frontmatter on each new/updated page (1–2 sentences, ≤ 200 chars)
  • Add confidence and lifecycle fields to every new page:
    base_confidence: 0.42
    lifecycle: draft
    lifecycle_changed: <obsidian-wiki memory now --date>
    Leave lifecycle unchanged on update.
  • Add provenance markers:
    • ^[extracted] when directly grounded in explicit session/memory content
    • ^[inferred] when synthesizing patterns across multiple sessions
    • ^[ambiguous] when sessions conflict
  • Add/update provenance: frontmatter mix for each changed page

Step 7: Update Manifest, Log, and Index

Update .manifest.json

For each processed source file:

  • ingested_at, size_bytes, modified_at
  • source_type: openclaw_memory | openclaw_daily_note | openclaw_session | openclaw_dreams
  • agent_id: agent directory name (when applicable)
  • pages_created, pages_updated

Add/update a top-level summary block:

{
  "openclaw": {
    "source_path": "~/.openclaw/",
    "last_ingested": "TIMESTAMP",
    "memory_updated_at": "TIMESTAMP",
    "daily_notes_ingested": 14,
    "sessions_ingested": 23,
    "pages_created": 6,
    "pages_updated": 18
  }
}

Update special files

Update index.md, log.md, and hot.md with one locked call:

obsidian-wiki memory sync OPENCLAW_HISTORY_INGEST \
  memory=<memory> daily_notes=<daily_notes> sessions=<sessions> \
  pages_updated=<pages_updated> pages_created=<pages_created> \
  mode=<mode> \
  --takeaways "Ingested OpenClaw MEMORY.md and 14 daily notes; surfaced automation patterns and multi-agent coordination knowledge."

Never hand-edit index.md, log.md, or hot.md — the command takes the lock that keeps a parallel writer from dropping your update. --takeaways is the one-line conceptual summary that used to go in Recent Activity; omit it to leave the previous takeaways untouched.

See skills/llm-wiki/references/MEMORY.md for the full procedure.

Privacy and Compliance

  • Distill and synthesize; avoid raw memory or transcript dumps
  • Default to redaction for anything that looks sensitive
  • Ask the user before storing personal or sensitive details
  • Keep references to other people minimal and purpose-bound

Reference

See references/openclaw-data-format.md for field-level notes and parsing guidance.

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.

${QMD_CLI:-qmd} update

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

${QMD_CLI:-qmd} embed

Verify the collection with either:

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

or, when a specific page path is known:

${QMD_CLI:-qmd} get "qmd://$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>

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