القائمة
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/Lord1Egypt/ai-skillforge --skill tool-description-sendmessagetoolيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Implementing WCAG accessibility guidelines, semantic HTML5, and screen reader ARIA roles.
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | Tool Description: SendMessageTool |
| description | Agent teams version of SendMessageTool. |
| ccVersion | 2.1.147 |
| allowed-tools | Read Write Edit Bash |
| license | BSD-3-Clause license |
| metadata | {"skill-author":"Lord1Egypt"} |
Send a message to another agent.
{"to": "researcher", "summary": "assign task 1", "message": "start on task #1"}
to | |
|---|---|
"researcher" | Teammate by name |
Your plain text output is NOT visible to other agents — to communicate, you MUST call this tool. Messages from teammates are delivered automatically; you don't check an inbox. Refer to active teammates by name; to resume a completed background agent, use the agentId (format a...-...) from its spawn result. When relaying, don't quote the original — it's already rendered to the user.${""}
If you receive a JSON message with type: "shutdown_request" or type: "plan_approval_request", respond with the matching _response type — echo the request_id, set approve true/false:
{"to": "team-lead", "message": {"type": "shutdown_response", "request_id": "...", "approve": true}}
{"to": "researcher", "message": {"type": "plan_approval_response", "request_id": "...", "approve": false, "feedback": "add error handling"}}
Approving shutdown terminates your process. Rejecting plan sends the teammate back to revise. Don't originate shutdown_request unless asked. Don't send structured JSON status messages — use TaskUpdate.