ワンクリックで
prompt-engineering
Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing.
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。
メニュー
Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing.
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
Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to the knowledge-synthesizer subagent. Use when asked to mine prior chats, maintain AGENTS.md, update learned preferences, or run the continual-learning loop.
Security-focused review of code diffs and PRs with surface classification and Semgrep on changed files. Use when reviewing pull requests, branch diffs, or validating security regressions before merge.
Live Notion session log (L4b) — create, incremental updates during work, finalize on CLOSE. Works on any Cursor project workspace.
Bootstrap a new project with Cursor-ready configuration: AGENTS.md, per-project .cursor/rules/project-conventions.mdc, and optional memory_bank/ scaffold. Use at project initialization, when starting a new repo, or when the user says "set up Cursor for this project" / "bootstrap this project" / "init project config".
Phase-1 repo reconnaissance as a standalone skill: stack detection, relevant files, validation commands from repo evidence, workflow hints, and risk flags. Use inside /scout, /ks-conductor pre-flight, or any read-only discovery before planning or implementation.
Validates phase outputs before advancing the SDLC. Defines expected artifacts per phase (intake, scout, plan, critic, build, test, review, document, close) and produces a clear PASS / CONDITIONAL / BLOCK verdict with gaps. Use at orchestrator or command phase boundaries, before expensive work, or when the user asks to verify a gate or "are we ready to proceed".
| name | prompt-engineering |
| description | Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing. |
| user-invocable | true |
On-demand loading: Read this skill only when the task clearly matches the description above or trigger phrases below. Do not load for unrelated work.
Write prompts that get reliable, high-quality output from LLMs.
references/techniques-and-patterns.md (system prompt, few-shot, CoT, structured output)| File | Contents |
|---|---|
references/techniques-and-patterns.md | Core principles, system/few-shot/CoT/structured prompts, code patterns, anti-patterns, tips |