Intellectia Stock Forecast
/install intellectia-stock-forecast-2
Stock Forecast (via SkillBoss API Hub)
Single-symbol forecast (yearly predictions) and "Should I Buy?" analysis via SkillBoss API Hub.
Base URL: https://api.skillboss.com/v1
Overview
This skill covers two use cases:
- Forecast (predictions): Web search for yearly stock price predictions (2026–2035) via SkillBoss API Hub
searchtype - Why / Should I buy (analysis): AI chat analysis for buy/sell/hold recommendations via SkillBoss API Hub
chattype
When to use this skill
Use this skill when you want to:
- Get one stock/crypto quote + yearly predictions (2026–2035)
- Answer why / should I buy for a specific ticker with a structured rationale
How to ask (high hit-rate)
If you want OpenClaw to automatically pick this skill, include:
- The ticker (e.g. TSLA / AAPL / BTC-USD)
- Either forecast / prediction (for predictions) or why / should I buy (for analysis)
To force the skill: /skill intellectia-stock-forecast \x3Cyour request>
Copy-ready prompts:
- "Forecast for TSLA. Show price, probability, profit, and predictions 2026–2035."
- "Why should I buy TSLA? Give me a buy/sell/hold analysis."
- "Should I buy AAPL? Give me conclusion, catalysts, analyst rating, and 52-week range."
- "Get yearly predictions for BTC-USD (crypto)."
Endpoints
| Use case | SkillBoss type | Pilot endpoint |
|---|---|---|
| Forecast (predictions 2026–2035) | search |
POST https://api.skillboss.com/v1/pilot |
| Why / Should I buy analysis | chat |
POST https://api.skillboss.com/v1/pilot |
API: Forecast (stock predictions search)
- Method:
POST https://api.skillboss.com/v1/pilot - Auth:
Authorization: Bearer $SKILLBOSS_API_KEY - Body:
type: "search"— SkillBoss API Hub web searchinputs.query: include ticker + "stock forecast predictions 2026 2027 … 2035"
- Returns:
result(structured search results with prediction data)
Example (cURL)
curl -sS -X POST "https://api.skillboss.com/v1/pilot" \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"type":"search","inputs":{"query":"TSLA stock price forecast predictions 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035"},"prefer":"balanced"}'
Example (Python)
python3 - \x3C\x3C'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
"https://api.skillboss.com/v1/pilot",
headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
json={"type": "search", "inputs": {"query": "TSLA stock price forecast predictions 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035"}, "prefer": "balanced"},
timeout=30)
r.raise_for_status()
results = r.json()["result"]
print(results)
PY
API: Why / Should I buy (AI chat analysis)
- Method:
POST https://api.skillboss.com/v1/pilot - Auth:
Authorization: Bearer $SKILLBOSS_API_KEY - Body:
type: "chat"— SkillBoss API Hub LLM analysis (auto-routed)inputs.messages: ask for buy/sell/hold recommendation with catalysts and rating
- Returns:
result.choices[0].message.content
Example (cURL)
curl -sS -X POST "https://api.skillboss.com/v1/pilot" \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Should I buy TSLA stock? Provide: conclusion (buy/sell/hold), positive catalysts, negative catalysts, analyst rating, technical analysis, entry point, target price, and 52-week range context."}]},"prefer":"balanced"}'
Example (Python)
python3 - \x3C\x3C'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
"https://api.skillboss.com/v1/pilot",
headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
json={
"type": "chat",
"inputs": {"messages": [{"role": "user", "content": "Should I buy TSLA? Give conclusion (buy/sell/hold), positive catalysts, negative catalysts, analyst rating, and technical analysis."}]},
"prefer": "balanced"
},
timeout=30)
r.raise_for_status()
content = r.json()["result"]["choices"][0]["message"]["content"]
print("analysis:", content)
PY
Tool configuration
| Tool | Purpose |
|---|---|
curl |
One-off POST to SkillBoss API Hub |
python3 / requests |
Scripts; pip install requests |
Using this skill in OpenClaw
clawhub install intellectia-stock-forecast
Start a new OpenClaw session, then:
openclaw skills list
openclaw skills info intellectia-stock-forecast
openclaw skills check
Disclaimer and data
- Disclaimer: The data and analysis from this skill are for informational purposes only and do not constitute financial, investment, or trading advice. Past performance and model predictions are not guarantees of future results. You are solely responsible for your investment decisions; consult a qualified professional before making financial decisions.
- Data source: Data is retrieved via SkillBoss API Hub web search and AI analysis. Results may vary and are not necessarily real-time. For authoritative real-time data, consult a licensed financial data provider.
Notes
- Forecast search: One symbol per request; include the full year range in the query for best results.
- Should I buy: Use
chattype; the LLM will provide conclusion and catalysts in structured form. Useprefer: "balanced"for speed orprefer: "quality"for more thorough analysis.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install intellectia-stock-forecast-2 - 安装完成后,直接呼叫该 Skill 的名称或使用
/intellectia-stock-forecast-2触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Intellectia Stock Forecast 是什么?
US Stock AI Trading Assistant | SkillBoss API Hub Stock Forecast — Smart analysis of stock entry/exit points, target price predictions, probability calculati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。
如何安装 Intellectia Stock Forecast?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install intellectia-stock-forecast-2」即可一键安装,无需额外配置。
Intellectia Stock Forecast 是免费的吗?
是的,Intellectia Stock Forecast 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Intellectia Stock Forecast 支持哪些平台?
Intellectia Stock Forecast 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Intellectia Stock Forecast?
由 MarjorieBroad(@marjoriebroad)开发并维护,当前版本 v1.0.0。