stock-data-skill
OpenClaw Skill for stock data analysis
Book real estate showing tours from emailed or pasted listing details, including extracting listing data, preparing outbound call jobs, coordinating a calling sub-agent, creating calendar invites, and returning confirmations. Use when the user asks to book showings for one or more properties, coordinate preferred windows for a client, or automate office calls instead of manual BrokerBay login flows.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install danielfoch/show-bookingInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Execute an end-to-end workflow for showing requests:
tour-booking sub-agent.Collect these fields before running outbound calls:
If any listing is missing a phone number, flag it as blocked and do not place calls for that listing.
Run:
python3 scripts/intake_request.py --input-file /path/to/intake.txt --output /tmp/showing-intake.json
Or pass inline text:
python3 scripts/intake_request.py --input-text "Book showings for ..." --output /tmp/showing-intake.json
Run:
python3 scripts/orchestrate_showings.py --intake /tmp/showing-intake.json --output /tmp/showing-plan.json
This produces:
call_queue: listings with phone numbers ready for calls.blocked: listings missing required data.calendar_candidates: records ready for invite creation after call confirmation.tour-bookingFor each call_queue record, invoke tour-booking/scripts/place_outbound_call.py with:
If live calling is not approved, run with --dry-run and return the generated payload.
When a listing returns a confirmed date/time:
python3 scripts/create_invite_ics.py \
--input /tmp/confirmed-showings.json \
--output-dir /tmp/showing-invites
The script emits one .ics file per confirmed...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Show Booking ## Overview Execute an end-to-end workflow for showing requests: 1. Parse intake from free-form prompt or email text. 2. Build per-listing call jobs. 3. Hand off call execution to the `tour-booking` sub-agent. 4. Generate calendar invite files from confirmed slots. 5. Return a concise confirmation summary. ## Inputs Collect these fields before running outbound calls: - Client full name. - Listings (address, listing ID if present, office phone, listing office/agent name if present). - Preferred windows and timezone. - Booking constraints (lockbox notes, occupants, minimum notice). - Confirmation target (email/SMS destination for status updates). If any listing is missing a phone number, flag it as `blocked` and do not place calls for that listing. ## Workflow ### 1) Parse intake Run: ```bash python3 scripts/intake_request.py --input-file /path/to/intake.txt --output /tmp/showing-intake.json ``` Or pass inline text: ```bash python3 scripts/intake_request.py --input-text "Book showings for ..." --output /tmp/showing-intake.json ``` ### 2) Build call queue Run: ```bash python3 scripts/orchestrate_showings.py --intake /tmp/showing-intake.json --output /tmp/showing-plan.json ``` This produces: - `call_queue`: listings with phone numbers ready for calls. - `blocked`: listings missing required data. - `calendar_candidates`: records ready for invite creation after call confirmation. ### 3) Delegate calling to `tour-booking` For each `call_queue` record, invoke `tour-booking/scripts/place_outbound_call.py` with: - Listing metadata. - Preferred windows. - Client identity. - Callback instructions. If live calling is not approved, run with `--dry-run` and return the generated payload. ### 4) Create invites for confirmed slots When a listing returns a confirmed date/time: ```bash python3 scripts/create_invite_ics.py \ --input /tmp/confirmed-showings.json \ --output-dir /tmp/showing-invites ``` The script emits one `.ics` file per confirmed...
OpenClaw Skill for stock data analysis
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
139邮箱邮件收发 Skill - 支持 IMAP/SMTP 协议,兼容139/QQ/163/Gmail等主流邮箱 功能: 1. 发送邮件(SMTP) 2. 接收邮件(IMAP) 3. 查看收件箱列表 4. 查看未读邮件 当用户提到 "发邮件"、"收邮件"、"查看邮件"、"邮箱"...
⚠️ 重要声明