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blueprint

Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-blueprint-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 blueprint description Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it". metadata {"origin":"community"} Blueprint — Construction Plan Generator Turn a one-line objective into a step-by-step construction plan that any coding agent can execute cold. When to Use Breaking a large feature into multiple PRs with clear dependency order Planning a refactor or migration that spans multiple sessions Coordinating parallel workstreams across sub-agents Any task where context loss between sessions would cause rework Do not use for tasks completable in a single PR, fewer than 3 tool calls, or when the user says "just do it." How It Works Blueprint runs a 5-phase pipeline: Research — Pre-flight checks (git, gh auth, remote, default branch), then reads project structure, existing plans, and memory files to gather context. Design — Breaks the objective into one-PR-sized steps (3–12 typical). Assigns dependency edges, parallel/serial ordering, model tier (strongest vs default), and rollback strategy per step. Draft — Writes a self-contained Markdown plan file to plans/ . Every step includes a context brief, task list, verification commands, and exit criteria — so a fresh agent can execute any step without reading prior steps. Review — Delegates adversarial review to a strongest-model sub-agent (e.g., Opus) against a checklist and anti-pattern catalog. Fixes all critical findings before finalizing. Register — Saves the plan, updates memory index, and presents the step count and parallelism summary to the user. Blueprint detects git/gh availability automatically. With git + GitHub CLI, it generates full branch/PR/CI workflow plans. Without them, it switches to direct mode (edit-in-place, no branches). Examples Basic usage /blueprint myapp "migrate database to PostgreSQL" Produces plans/myapp-migrate-database-to-postgresql.md with steps like: Step 1: Add PostgreSQL driver and connection config Step 2: Create migration scripts for each table Step 3: Update repository layer to use new driver Step 4: Add integration tests against PostgreSQL Step 5: Remove old database code and config Multi-agent project /blueprint chatbot "extract LLM providers into a plugin system" Produces a plan with parallel steps where possible (e.g., "implement Anthropic plugin" and "implement OpenAI plugin" run in parallel after the plugin interface step is done), model tier assignments (strongest for the interface design step, default for implementation), and invariants verified after every step (e.g., "all existing tests pass", "no provider imports in core"). Key Features Cold-start execution — Every step includes a self-contained context brief. No prior context needed. Adversarial review gate — Every plan is reviewed by a strongest-model sub-agent against a checklist covering completeness, dependency correctness, and anti-pattern detection. Branch/PR/CI workflow — Built into every step. Degrades gracefully to direct mode when git/gh is absent. Parallel step detection — Dependency graph identifies steps with no shared files or output dependencies. Plan mutation protocol — Steps can be split, inserted, skipped, reordered, or abandoned with formal protocols and audit trail. Zero runtime risk — Pure Markdown skill. The entire repository contains only .md files — no hooks, no shell scripts, no executable code, no package.json , no build step. Nothing runs on install or invocation beyond Claude Code's native Markdown skill loader. Installation This skill ships with Everything Claude Code. No separate installation is needed when ECC is installed. Full ECC install If you are working from the ECC repository checkout, verify the skill is present with: test -f skills/blueprint/SKILL.md To update later, review the ECC diff before updating: cd /path/to/everything-claude-code git fetch origin main git log --oneline HEAD..origin/main # review new commits before updating git checkout <reviewed-full-sha> # pin to a specific reviewed commit Vendored standalone install If you are vendoring only this skill outside the full ECC install, copy the reviewed file from the ECC repository into ~/.claude/skills/blueprint/SKILL.md . Vendored copies do not have a git remote, so update them by re-copying the file from a reviewed ECC commit rather than running git pull . Requirements Claude Code (for /blueprint slash command) Git + GitHub CLI (optional — enables full branch/PR/CI workflow; Blueprint detects absence and auto-switches to direct mode) Source Inspired by antbotlab/blueprint — upstream project and reference design.
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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)
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.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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