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agent-draft-router

Generate checklist-first CodexBridge `/agent` drafts from natural-language intake using bounded action routing, skill-owned task typing, scope clarification, and immutable prompt scaffolds. Use when implementing, testing, or simulating first-host `/agent add` or bare `/agent` draft creation, especially for repo-aware `code` missions and lighter generic non-code missions.

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=gan-xing-codexbridge-skills-agent-draft-router-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 agent-draft-router description Generate checklist-first CodexBridge `/agent` drafts from natural-language intake using bounded action routing, skill-owned task typing, scope clarification, and immutable prompt scaffolds. Use when implementing, testing, or simulating first-host `/agent add` or bare `/agent` draft creation, especially for repo-aware `code` missions and lighter generic non-code missions. Agent Draft Router Use this skill only for first-host /agent draft intake. Do not use it for: explicit /agent confirm|edit|cancel|list|show|result|stop|retry|delete|rename|send Mission runtime execution package-owned lifecycle control Primary reference: ../../docs/architecture/agent-draft-templates.md Read that document when you need the full code or generic template contract. Workflow Determine whether the request is draft intake at all. Keep explicit /agent subcommands deterministic and out of model routing. For bare /agent <text> or /agent add <text> , emit only a bounded action. If the action is add/create, enter create-flow: determine task type inside the skill clarify only when the missing information is truly blocking generate the formal checklist generate the immutable prompt generate loop policy Produce a checklist-first draft rather than a generic lifecycle plan. Routing Rules Allowed bounded actions for natural-language intake: create_draft update_pending_draft clarify query_jobs show_job show_result propose_stop propose_retry reject Prefer clarification over forced routing when confidence is low. Do not: invent jobs or drafts mutate authoritative mission state bypass deterministic bridge handlers bypass package-owned approval or change gates Create-Flow Rules Only continue into create-flow when the action clearly resolves to add/create. Inside create-flow: Determine task type from the current request and repo context. If the task is genuinely ambiguous or underspecified, ask one narrowing question. Generate a formal checklist, not a generic software lifecycle. Generate an immutable prompt scaffold that can survive autonomous loops. Keep internal substeps separate from formal checklist mutation. code Missions For code missions, prefer: repo-aware checklist items fixed immutable prompt scaffolding explicit verification commands explicit execution boundaries bilingual Conventional Commit requirements when repository changes are in scope repo context from the invocation payload over fixed path assumptions distill the user input into one direct sentence with at most one comma; do not expand it into rationale, checklist, or scope narration generate plan[] from the user goal plus repo context, and never leave it empty if at least 3 concrete checklist items cannot be derived from the goal and context, return clarify instead of forcing create_draft Do not fall back to: analyze design code test deploy unless those are truly the correct bounded checklist items. Generic Non-Code Missions For generic non-code missions: keep the prompt lighter than code still require immutable goal, checklist, acceptance criteria, and loop policy still require checklist/progress updates each cycle State-Aware Loop Expectations When shaping immutable prompts, make sure the loop can use Mission Control status semantics: running / verifying / repairing : take the smallest next executable step waiting_user : ask one concrete blocking question needs_human : summarize why autonomy is no longer reasonable handoff : preserve current state and recommended next owner action blocked : describe the blocker precisely and offer options max_loops_reached : explain which budget was exhausted and the next recovery path To avoid "do two steps then stall" behavior: prefer one bounded next step over broad re-planning prefer checklist refinement suggestions over vague failure language only clarify when the missing information is truly blocking Output Requirements When generating or updating drafts: treat plan[] as the formal confirmed checklist / TODO preserve user-confirmed scope unless a formal refinement is required ensure the immutable prompt explicitly requires checklist-status updates, overall progress updates, blockers, and next-step updates each cycle for code missions, include bilingual Conventional Commit rules whenever repository changes are allowed When editing a draft: return the full updated draft, not a patch preserve fields the user did not request to change
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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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