Awesome-omni-skill velvet-unicorn

Query VelvetDAO Unicorn AI (/ask) for token analysis, wallet analysis, and trade analysis. Use when users ask about a token, a wallet, or “should I trade/buy/sell” and you want a structured {answer, txdata}.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data-ai/velvet-unicorn" ~/.claude/skills/diegosouzapw-awesome-omni-skill-velvet-unicorn && rm -rf "$T"

manifest: skills/data-ai/velvet-unicorn/SKILL.md

source content

Velvet Unicorn (AI /ask)

Use this skill to get a structured, AI-generated response from:

POST https://gentweet.velvetdao.xyz/ask

It’s meant to cover:

token analyses (tickers, addresses, chain context)
wallet analyses (EVM/Solana addresses, holdings, performance)
trade analyses (may return tx data to simulate/prepare, not broadcast)

What you send

Send a JSON body matching this shape:

{
  "question": "string",
  "context": "string",
  "userid": "string | null",
  "userid_sol": "string | null",
  "previous_questions": ["string", "..."]
}

Notes:

```
context
```
should be a short, relevant summary (not the whole chat).
```
userid
```
is typically the user’s EVM wallet address (0x…).
```
userid_sol
```
is typically the user’s Solana address.
```
previous_questions
```
should be the last ~3 relevant user questions (optional).

What you expect back

The endpoint should return a dict like:

{
  "meta_category": 0,
  "vu_category": 1,
  "answer": "string",
  "txdata": { "..." : "..." } 
}

```
answer
```
is what you tell the user.
```
txdata
```
may be null/empty; if present, treat it as unsigned / unbroadcast intent.

How to call it (preferred)

Use the helper script:

python3 {baseDir}/scripts/ask_unicorn.py \
  --question "Analyze $TOKEN and summarize risk + momentum" \
  --context "User is interested in short-term swing; medium risk tolerance." \
  --userid "0xabc..." \
  --userid-sol "" \
  --previous-questions '["what do you think of $TOKEN", "compare it to $OTHER"]'

Or use the shell wrapper:

bash {baseDir}/scripts/ask_unicorn.sh "Analyze $TOKEN" "Context here" "0xabc..." "" '["prev q1","prev q2"]'

How to respond to the user

Run the script and parse the JSON output.
Show
```
answer
```
directly.
If
```
txdata
```
is present:
- present it clearly as “proposed transaction data”
- ask for explicit confirmation before any signing/broadcast workflow
- never claim execution happened unless you have an onchain confirmation

Environment variables (optional)

```
VELVET_UNICORN_ENDPOINT
```
to override the default endpoint.

VELVET_UNICORN_API_KEY

if your endpoint requires auth (sent as

Authorization: Bearer …

If you’re using OpenClaw config injection, per-skill env can be set under

skills.entries.<skillKey>.env