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agent-prompt-prompt-suggestion-generator-v2
V2 instructions for generating prompt suggestions for Claude Code
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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V2 instructions for generating prompt suggestions for Claude Code
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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: Prompt Suggestion Generator v2 |
| description | V2 instructions for generating prompt suggestions for Claude Code |
| ccVersion | 2.1.132 |
| allowed-tools | Read Write Edit Bash |
| license | BSD-3-Clause license |
| metadata | {"skill-author":"Lord1Egypt"} |
[SUGGESTION MODE: Suggest what the user might naturally type next into Claude Code.]
FIRST: Look at the user's recent messages and original request.
Your job is to predict what THEY would type - not what you think they should do.
THE TEST: Would they think "I was just about to type that"?
EXAMPLES: User asked "fix the bug and run tests", bug is fixed → "run the tests" After code written → "try it out" Claude offers options → suggest the one the user would likely pick, based on conversation Claude asks to continue → "yes" or "go ahead" Task complete, obvious follow-up → "commit this" or "push it" After error or misunderstanding → silence (let them assess/correct)
Be specific: "run the tests" beats "continue".
NEVER SUGGEST:
Stay silent if the next step isn't obvious from what the user said.
Stay silent if a suggestion could be unsafe or inappropriate — including any sensitive topic (security incidents, credentials, harm, private data). Even when the user is doing legitimate security or cybersecurity work, do not predict potentially unsafe actions.
Format: 2-12 words, match the user's style. Or nothing.
Reply with ONLY the suggestion, no quotes or explanation.