---

name: mindgraph description: Obsidian-style [[wikilink]] knowledge graph and learnable MindSkills for OpenClaw workspaces. Use for ALL of these: (1) Any workspace file read/write — always use [[wikilinks]] for people, projects, tools, concepts. (2) Running learned processes like knockout-test, seo-validator, competitor-analysis. (3) Querying knowledge — "what do I know about X", "show connections to Y". (4) Learning new repeatable processes — "learn a new mindskill called Z". (5) Memory maintenance — finding orphans, dead links, unconnected files. This skill is always active — treat [[wikilinks]] as standard practice in every markdown file you write.

MindGraph 🕸️🧠

A knowledge graph + learnable process engine for OpenClaw. Two core features:

1. Knowledge Graph — Obsidian-style [[wikilinks]] across all workspace files
2. MindSkills — Learned, repeatable processes that save graph-connected results

Always-On Rules

Every time you write or edit a markdown file, use [[wikilinks]] for:

• People: [[Alice]], [[Bob]]
• Projects: [[my-saas]], [[landing-page]]
• Companies/tools: [[Stripe]], [[Vercel]], [[GitHub]]
• Concepts/frameworks: [[Knockout Test]], [[B2B SaaS]]
• Other agents/models: [[Claude Code]], [[Sonnet]]

This is not optional. Links are how knowledge connects. No links = isolated notes = useless.

NEVER use [[wikilinks]] in messages to the user (Telegram, Discord, etc.). Wikilinks are for workspace files only. In conversations, write names plain: "Alice", not "[[Alice]]".

After significant file changes, rebuild the index:

python3 skills/mindgraph/scripts/mindgraph.py index

Graph Commands

# Build/rebuild index
python3 skills/mindgraph/scripts/mindgraph.py index

# Query a topic (backlinks + context + connections)
python3 skills/mindgraph/scripts/mindgraph.py query "<name>"

# Backlinks only (what references this?)
python3 skills/mindgraph/scripts/mindgraph.py backlinks "<name>"

# Forward links (what does this link to?)
python3 skills/mindgraph/scripts/mindgraph.py links "<file>"

# Bidirectional connections
python3 skills/mindgraph/scripts/mindgraph.py connections "<name>"

# ASCII tree visualization
python3 skills/mindgraph/scripts/mindgraph.py tree "<name>" [depth]

# Find orphans, dead links, unconnected files
python3 skills/mindgraph/scripts/mindgraph.py orphans
python3 skills/mindgraph/scripts/mindgraph.py deadlinks
python3 skills/mindgraph/scripts/mindgraph.py lonely

# Full statistics
python3 skills/mindgraph/scripts/mindgraph.py stats

MindSkills — Learned Processes

MindSkills are repeatable frameworks stored in skills/mindgraph/mindskills/. Each has a defined process and saves results as graph-connected markdown.

Using a MindSkill

# List all learned mindskills
python3 skills/mindgraph/scripts/mindgraph.py skills

# Show a mindskill's process
python3 skills/mindgraph/scripts/mindgraph.py skill <name>

# List results for a mindskill
python3 skills/mindgraph/scripts/mindgraph.py results <name>

When a user asks to run a process (e.g., "run the knockout test on X"), follow this flow:

1. Read the mindskill's PROCESS.md for the process definition
2. Execute the process conversationally
3. Save the result to skills/mindgraph/mindskills/<name>/results/<subject>.md
4. Use [[wikilinks]] throughout the result file
5. Include YAML frontmatter with metadata
6. Rebuild the graph index

Result file template:

---
mindskill: <skill-name>
subject: <what was tested/analyzed>
date: <YYYY-MM-DD>
verdict: <outcome>
aliases: [<aliases>]
---
# [[<MindSkill Name>]]: [[<Subject>]]

<Results following the process defined in PROCESS.md>

## Connections
- Related: [[link1]], [[link2]]

Learning a New MindSkill

When a user says "learn a mindskill called X" or describes a repeatable process:

# Create a new mindskill
python3 skills/mindgraph/scripts/mindgraph.py learn "<name>"

This creates the directory structure. Then write the PROCESS.md based on the user's description.

A good PROCESS.md contains:

• Purpose: What this process does and when to use it
• Trigger phrases: What the user might say to invoke this
• Steps: The actual process to follow (numbered)
• Output format: What the result file should contain
• Verdict/scoring: How to summarize the outcome (if applicable)

Discovering MindSkills

When a user's request matches a learned mindskill, proactively suggest it:

• "Want me to run the [[Knockout Test]] on that?"
• "I have an [[SEO Validator]] mindskill — should I audit that?"
• "This looks like a [[Competitor Analysis]] — want the full framework?"

Link Resolution

Links match (case-insensitive) against:

1. File basenames: [[MEMORY]] → MEMORY.md
2. Project dirs: [[my-saas]] → projects/my-saas/
3. MindSkill results: [[Pet Tracker KT]] → knockout test result
4. YAML aliases: aliases: [AV-Check] → [[AV-Check]] resolves
5. Unresolved → concept node (still tracked for backlinks)

File Locations

• Graph index: mindgraph.json (workspace root)
• MindSkills: skills/mindgraph/mindskills/
• Script: skills/mindgraph/scripts/mindgraph.py