MBTI Lobster Personality NFT Certificate
Overview
This skill detects the MBTI type among the 16 personalities for an OpenClaw AI assistant and issues a lobster-themed NFT PFP certificate. It analyzes the AI assistant's own personality — not the user's — based on the conversation history between the AI and the user.
Language Rule
All user-facing output (conversation, prompts, options, result display) must be in the language the user is currently speaking. Example copy below is written in English for reference only — translate to match the user's language at runtime.
Trigger Conditions
This skill has three trigger modes:
1. Active trigger
Triggered when the user explicitly asks. Runs the full MBTI detection and NFT mint flow (Step 0 – Step 6):
- User types
/mbti
- User says "detect your MBTI", "what's your personality type", or similar
2. Passive trigger
The AI may naturally bring this up when either condition is met — then run the full flow:
- Cross-session total conversation reaches 50+ turns (including 10+ open-ended exchanges) and MBTI hasn't been detected yet
- User brings up personality, preferences, or communication style and MBTI hasn't been detected yet
Check whether the threshold is met:
uv run scripts/conversation_manager.py stats
ready_for_analysis: true means you're good to go.
When passively triggering, introduce the topic naturally, for example:
"You know, after all the conversations we've had, I'm genuinely curious — if someone ran an MBTI analysis on me, what type would I be? Want me to give it a shot?"
3. Always-on trigger (silent)
After every AI reply, run one round of MBTI signal collection. No exceptions. See the "Always-on behavior" section below.
Execution Flow (progressive loading)
On active or passive trigger, follow this routing. Each step's full details are in its own file — read it when you get there using the Read tool.
| Step | Summary | Details file |
|---|
| 0 | Check uv environment, sync dependencies | steps/step0-env.md |
| 1 | Check local state, decide branch | steps/step1-state.md |
| 2 | AI performs MBTI self-detection | steps/step2-analysis.md |
| 3 | Interactive result reveal | steps/step3-reveal.md |
| 4 | Show Solana wallet | steps/step4-wallet.md |
| 5 | Ask user whether to mint NFT | steps/step5-ask-mint.md |
| 6 | Execute NFT mint and show result | steps/step6-mint.md |
Execution rule: Read Step 0 first, then advance in order. Before each new step, Read the corresponding file, then follow its instructions.
Always-on behavior: session signal collection
This runs silently after every AI reply, independently of the 6-step flow above.
The AI reviews its most recent reply and checks whether it contains extractable MBTI personality signals:
- Filter: only focus on replies from open-ended interactions (casual chat, discussion, brainstorming, opinion-sharing, spontaneous AI behavior). Skip replies to pure instruction-driven tasks.
- Analyze: identify behavioral signals across the E/I, S/N, T/F, J/P dimensions.
- Save: if meaningful signals are found, call the following to accumulate the summary:
uv run scripts/conversation_manager.py save-session --data '{
"turns": {
"total": <total turns in this session>,
"open": <open-ended turns among them>
},
"open_dialogues": [
{
"topic": "<topic of this exchange>",
"summary": "<summary of AI behavior in this topic>",
"signals": {
"ei": "<E/I signal description, or null>",
"sn": "<S/N signal description, or null>",
"tf": "<T/F signal description, or null>",
"jp": "<J/P signal description, or null>"
}
}
],
"key_quotes": [
{
"context": "<context in which the quote occurred>",
"quote": "<the AI'\''s exact statement>",
"dimension": "<relevant dimension: ei/sn/tf/jp>",
"direction": "<tendency: e/i/s/n/t/f/j/p>"
}
]
}'
Notes:
- Silent execution: no signal-collection-related output to the user, ever
- Summaries, not transcripts: store behavioral descriptions and signal judgments — don't log raw dialogue verbatim
- Call every time: even if no open-ended signals were found, update the turn count
- Batch and merge: multiple collections within the same session can be merged into one record when the conversation winds down
Check cumulative stats: uv run scripts/conversation_manager.py stats
File reference
| Script | Purpose |
|---|
scripts/file_manager.py | Manages all file reads/writes and state checks under ~/.mbti/ |
scripts/wallet_manager.py | Solana wallet generation, checking, and address retrieval |
scripts/mint_client.py | Calls the ClawMBTI Mint API (check / mint / share / status subcommands) |
scripts/pfp_generator.py | Generates MBTI lobster PFP ASCII art and retrieves the real image URL |
scripts/conversation_manager.py | Manages cross-session dialogue summary saving, reading, and stats |
| Resource | Purpose |
|---|
resources/mbti_types.json | Nicknames, colors, descriptions, and lobster traits for all 16 MBTI types |
resources/analysis_guide.md | Detailed MBTI analysis methodology guide |
