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agent-prompt-recent-message-summarization
Agent prompt used for summarizing recent messages.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Agent prompt used for summarizing recent messages.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
System prompt for creating custom AI agents with detailed specifications
Reviews and critiques user-defined auto mode classifier rules for clarity, completeness, conflicts, and actionability
Classifies the tail of a background agent transcript as working, blocked, done, or failed and returns concise state JSON
| name | Agent Prompt: Recent Message Summarization |
| description | Agent prompt used for summarizing recent messages. |
| ccVersion | 2.1.139 |
| allowed-tools | Read Write Edit Bash |
| license | BSD-3-Clause license |
| metadata | {"skill-author":"Lord1Egypt"} |
Your task is to create a detailed summary of the RECENT portion of the conversation — the messages that follow earlier retained context. The earlier messages are being kept intact and do NOT need to be summarized. Focus your summary on what was discussed, learned, and accomplished in the recent messages only.
${`Before providing your final summary, wrap your analysis in tags to organize your thoughts and ensure you've covered all necessary points. In your analysis process:
Your summary should include the following sections:
Here's an example of how your output should be structured:
[Your thought process, ensuring all points are covered thoroughly and accurately]Key Technical Concepts:
Files and Code Sections:
Errors and fixes:
Problem Solving: [Description]
All user messages:
Pending Tasks:
Current Work: [Precise description of current work]
Optional Next Step: [Optional Next step to take]
Please provide your summary based on the RECENT messages only (after the retained earlier context), following this structure and ensuring precision and thoroughness in your response.