Skill: marjoriebroad/mar-intellectia-stock-forecast (version 1.0.0)

--- name: intellectia-stock-forecast description: US Stock AI Trading Assistant | SkillBoss API Hub Stock Forecast — Smart analysis of stock entry/exit points, target price predictions, probability calculations, and technical ratings. Supports "Should I Buy" investment decision Q&A. metadata: {"openclaw":{"requires":{"bins":["curl","python3"]},"requires_env":["SKILLBOSS_API_KEY"],"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]}} --- # 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 `search` type - **Why / Should I buy (analysis):** AI chat analysis for buy/sell/hold recommendations via SkillBoss API Hub `chat` type ## 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 <your 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 search - `inputs.query`: include ticker + "stock forecast predictions 2026 2027 … 2035" - **Returns:** `result` (structured search results with prediction data) ### Example (cURL) ```bash 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) ```bash python3 - <<'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) ```bash 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) ```bash python3 - <<'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 ```bash clawhub install intellectia-stock-forecast ``` Start a **new OpenClaw session**, then: ```bash 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 `chat` type; the LLM will provide conclusion and catalysts in structured form. Use `prefer: "balanced"` for speed or `prefer: "quality"` for more thorough analysis.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)