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Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".
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
Quick-reference card for all caveman modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /caveman-help, "caveman help", "what caveman commands", "how do I use caveman".
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Review upstream changes to the local my-opencode reviewer swarm before selectively applying them. Use whenever the user asks to pull, sync, inspect, compare, or adopt reviewer or swarm changes from ~/Documents/yo/my-opencode. Never use it to install the upstream configuration wholesale.
Quick-reference card for all ponytail modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /ponytail-help, "ponytail help", "what ponytail commands", "how do I use ponytail".
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", and whenever they complain about over-engineering, bloat, boilerplate, or unnecessary dependencies.
Use whenever the task involves writing, drafting, revising, or reviewing a system prompt for an AI agent — autonomous or semi-autonomous LLM systems that use tools in a loop, including operator agents, research/sub-agents, tool-using assistants, MCP servers, multi-agent orchestrators, and coding agents. Trigger even when the user says "instructions", "system message", "agent persona", or "rules for the model", not just the word "prompt". Do NOT use for one-shot prompts (classification, single generation, single Q&A) — those need lighter prompt techniques, not the full agent skeleton.
| name | make-pr-easy-to-review |
| description | Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff". |
Prepare a PR so a reviewer can quickly understand the intent, important files, and risk. The default goal is reviewability without behavior changes.
Only rewrite history when the user asks for it or agrees to the plan. Before rewriting:
gh pr view <PR> --json title,headRefName,baseRefName,state,commits
git fetch origin <headRefName> <baseRefName>
ORIGINAL_TREE=$(git rev-parse origin/<headRefName>^{tree})
Good commit groupings usually follow dependency order:
After rewriting, verify content identity:
echo "Original tree: $ORIGINAL_TREE"
echo "Current tree: $(git rev-parse HEAD^{tree})"
git diff origin/<headRefName> --stat
Do not push if the tree changed unintentionally.
When code behavior should stay untouched, prefer PR description and review notes: