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besimple-tiny-broccoli

Small-change wrapper: implement → run repo checks → atomic commit → run dedup (BASE_SHA..HEAD).

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=besimple-oss-broccoli-prompt-templates-skills-besimple-tiny-broccoli-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name besimple-tiny-broccoli description Small-change wrapper: implement → run repo checks → atomic commit → run dedup (BASE_SHA..HEAD). Tiny Broccoli: Implement → Check → Commit → Dedup Use this when the user request is already clear and you can safely implement directly (no plan docs), but you still want: repo checks to be green, and a dedupe pass over the resulting diff. Not for Big/ambiguous work that needs research, design decisions, or a multi-phase plan. “Refactor the whole repo” style requests. Preconditions (hard stop if missing) Confirm you are in the intended repo: git rev-parse --show-toplevel Start from a clean working tree: git status --porcelain is empty Ensure git can create commits ( user.name / user.email configured) Ensure required CLIs exist (dedup requires distinct vendors): codex , claude Required subskills dedup Workflow 0) Record BASE_SHA (required) Capture the base ref before any changes (used later for dedup ): BASE_SHA= " $(git rev-parse HEAD) " 1) Choose the repo check command(s) once (required) Do a one-time tooling detection + configuration so the per-step “build/lint” commands match the target repo. Detect languages and entrypoints Node/TS : look for package.json in repo root and common subprojects (for example functions/package.json ). Python : look for pyproject.toml , uv.lock , poetry.lock , requirements.txt . Pick build/lint/typecheck commands (prefer repo-native scripts) Prefer existing package scripts when present (e.g. npm run build , npm run lint , npm test ). Prefer the repo’s configured Python toolchain: If uv is clearly in use: use uv -based commands. If Poetry is clearly in use: use poetry run ... . If neither: use the repo’s documented commands (README/CONTRIBUTING) if available. If multiple options exist or it’s unclear, ask the user once for the canonical build/lint/typecheck commands, then reuse them for every step. Write down a “Tooling config” block and reuse it for every step Example format (adapt to the repo): Root (Node) : build= ... , lint= ... functions/ (Node) : build= ... , lint= ... Root (Python) : build= ... , typecheck= ... , lint/format= ... From now on, only run the commands from this block after each step (instead of hard-coded defaults). If the repo has no build/lint tooling Explicitly record “No build/lint configured” and skip build/lint steps (do not invent tooling). Call this out in the final summary. 2) Implement the requested change (required) Make the smallest correct change that satisfies the request. Prefer reusing existing patterns/utilities over creating new ones. Keep the change set small and reviewable. 3) Run repo checks and fix only what you broke (required) Run the commands from your Tooling config . If checks fail due to changes you introduced, fix and re-run until green. If checks fail for clearly pre-existing/unrelated reasons, stop and report: the exact command(s) you ran, and the first actionable error output. 4) Commit once checks are green (required) git add -A Make a single atomic commit for the user-requested change: git commit -m "<imperative summary>" (example: Fix flaky upload retry ). Do not create empty/no-op commits ( --allow-empty is prohibited). 5) Run dedup against BASE_SHA (required) Ensure the working tree is clean, then run the dedupe loop: if [ -n " $(git status --porcelain) " ]; then echo "Working tree is not clean; commit or stash before running dedup." >&2 exit 1 fi resolve_skill_dir () { local name= " $1 " local repo_root= "" repo_root= " $(git rev-parse --show-toplevel 2>/dev/null || pwd) " local candidates=( " $repo_root /.agents/skills/ $name " " $repo_root /.claude/skills/ $name " " $HOME /.agents/skills/ $name " " $HOME /.codex/skills/ $name " " $HOME /.claude/skills/ $name " ) for d in " ${candidates[@]} " ; do if [[ -d " $d " ]]; then echo " $d " return 0 fi done echo "Error: skill ' $name ' not found in repo-scoped or user-scoped skill dirs." >&2 return 1 } DEDUP_SKILL_DIR= " $(resolve_skill_dir dedup) " python3 " $DEDUP_SKILL_DIR /scripts/run_dedup_loop.py" " ${BASE_SHA} " If dedup creates additional commits, re-run the Tooling config checks once at the end and fix only issues introduced by dedupe changes. Do not interrupt/restart the dedup loop if it looks quiet; the loop script owns timeouts and retries. Guardrails Keep changes tightly scoped to the user request + required dedupe. Avoid drive-by refactors, renames, formatting-only churn, or dependency upgrades unless required. End state must be: checks green (or explicitly “no checks configured”), clean working tree, and at least one meaningful commit.
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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