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cook-auto-parallel煮自动并联

Agent Skill

cook-auto-parallel 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

823

周安装

35

GitHub Stars

6

下载量

288
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cook-auto-parallel(煮自动并联)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/cook-auto-parallel
安装命令:
npx skills add https://github.com/duc01226/easyplatform --skill cook-auto-parallel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/duc01226/easyplatform --skill cook-auto-parallel

简介

cook-auto-parallel 支持并行执行多个子任务,加速大规模信息处理流程。

  • 适用于同时调研多个主题、比对不同方案或并行验证假设的场景。
  • 仍遵循任务拆分与证据溯源规范,但利用并发提升整体效率。
  • 注意控制并发数量以避免资源竞争,确保各分支任务独立且可追溯。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
AI Mistake Prevention — Failure modes to avoid on every task: - Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. - Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. - Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. - Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. - When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. - Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. - Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. - Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. - Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. - Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code. 1. Search 3+ similar patterns (grep/glob) — cite file:line evidence 2. Read existing files in target area — understand structure, base classes, conventions 3. Run python.claude/scripts/code_graph trace <file> --direction both --json when .code-graph/graph.db exists 4. Map dependencies via connections or callers_of — know what depends on your target 5. Write investigation to .ai/workspace/analysis/ for non-trivial tasks (3+ files) 6. Re-read analysis file before implementing — never work from memory alone 7. NEVER invent new patterns when existing ones work — match exactly or document deviation BLOCKED until: - [] Read target files - [] Grep 3+ patterns - [] Graph trace (if graph.db exists) - [] Assumptions verified with evidence
  • docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (content auto-injected by hook — check for [Injected:...] header before reading)
  • docs/specs/ — Test specifications by module (read existing TCs; generate/update test specs via /tdd-spec after implementation)
Plan Quality — Every plan phase MUST ATTENTION include test specifications. 1. Add ## Test Specifications section with TC-{FEAT}-{NNN} IDs to every phase file 2. Map every functional requirement to ≥1 TC (or explicit TBD with rationale) 3. TC IDs follow TC-{FEATURE}-{NNN} format — reference by ID, never embed full content 4. Before any new workflow step: call TaskList and re-read the phase file 5. On context compaction: call TaskList FIRST — never create duplicate tasks 6. Verify TC satisfaction per phase before marking complete (evidence must be file:line, not TBD) Mode: TDD-first → reference existing TCs with Evidence: TBD. Implement-first → use TBD → /tdd-spec fills after.
Rationalization Prevention — AI skips steps via these evasions. Recognize and reject: | Evasion | Rebuttal | | --- | --- | | "Too simple for a plan" | Simple + wrong assumptions = wasted time. Plan anyway. | | "I'll test after" | RED before GREEN. Write/verify test first. | | "Already searched" | Show grep evidence with file:line. No proof = no search. | | "Just do it" | Still need TaskCreate. Skip depth, never skip tracking. | | "Just a small fix" | Small fix in wrong location cascades. Verify file:line first. | | "Code is self-explanatory" | Future readers need evidence trail. Document anyway. | | "Combine steps to save time" | Combined steps dilute focus. Each step has distinct purpose. |
Red Flag Stop Conditions — STOP and escalate to user via AskUserQuestion when: 1. Confidence drops below 60% on any critical decision 2. Changes would affect >20 files (blast radius too large) 3. Cross-service boundary is being crossed 4. Security-sensitive code (auth, crypto, PII handling) 5. Breaking change detected (interface, API contract, DB schema) 6. Test coverage would decrease after changes 7. Approach requires technology/pattern not in the project NEVER proceed past a red flag without explicit user approval.
Skill Variant: Variant of /cook — autonomous parallel execution with fullstack-developer subagents.

Quick Summary

Goal: Plan parallel-executable phases and dispatch to fullstack-developer subagents for concurrent implementation.

Workflow:

  1. Plan — Create plan with parallel-executable phases (strict file ownership)
  2. Dispatch — Launch fullstack-developer subagents per phase
  3. Merge — Integrate results and verify

Key Rules:

  • Each subagent owns specific files; no cross-boundary edits
  • Autonomous mode: no user confirmation between phases
  • Break work into todo tasks; add final self-review task

Ultrathink parallel to implement: $ARGUMENTS

IMPORTANT: Activate needed skills. Ensure token efficiency. Sacrifice grammar for concision.

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Workflow

1. Research (Optional)

  • Use max 2 researcher agents in parallel if tasks complex
  • Use /scout-ext to search codebase
  • Keep reports ≤150 lines
  • External Memory: Write research to .ai/workspace/analysis/{task-name}.analysis.md. Re-read before parallel execution.

2. Parallel Planning

  • Trigger /plan-parallel <detailed-instruction>
  • Wait for plan with dependency graph, execution strategy, file ownership matrix

3. Parallel Implementation

  • Read plan.md for dependency graph
  • Launch multiple fullstack-developer agents in PARALLEL for concurrent phases

- Example: "Phases 1-3 parallel" → launch 3 agents simultaneously - Pass phase file path: {plan-dir}/phase-XX-*.md - Include environment info

  • Wait for all parallel phases complete before dependent phases
  • Sequential phases: launch one agent at a time

4. Testing

  • Use tester subagent for full test suite
  • NO fake data/mocks/cheats
  • If fail: use debugger, fix, repeat

5. Code Review

  • Use code-reviewer for all changes
  • If critical issues: fix, retest

6. Project Management & Docs

  • If approved: use project-manager + docs-manager in parallel
  • Update plan files, docs, roadmap
  • If rejected: fix and repeat

7. Final Report

  • Summary of all parallel phases
  • Guide to get started
  • Ask to commit (use git-manager if yes)

Example: Phases 1-3 parallel → Launch 3 fullstack-developer agents → Wait → Phase 4 sequential


Next Steps (Standalone: MUST ATTENTION ask user via AskUserQuestion. Skip if inside workflow.)

MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS: If this skill was called outside a workflow, you MUST ATTENTION use AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:
  • "Proceed with full workflow (Recommended)" — I'll detect the best workflow to continue from here (feature implemented). This ensures review, testing, and docs steps aren't skipped.
  • "/code-simplifier" — Simplify and clean up implementation
  • "/workflow-review-changes" — Review changes before commit
  • "Skip, continue manually" — user decides
If already inside a workflow, skip — the workflow handles sequencing.

Closing Reminders

  • MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
  • MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
  • MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
  • MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via AskUserQuestion — never auto-decide
  • MANDATORY IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists.
  • MANDATORY IMPORTANT MUST ATTENTION include ## Test Specifications with TC IDs per phase. Call TaskList before creating new tasks.
  • MANDATORY IMPORTANT MUST ATTENTION follow ALL steps regardless of perceived simplicity. "Too simple to plan" is an evasion, not a reason.
  • MANDATORY IMPORTANT MUST ATTENTION STOP after 3 failed fix attempts. Report all attempts, ask user before continuing.
  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.67%
按下载量换算103

Claude

31.34%
按下载量换算90

Cursor

20.87%
按下载量换算60

Gemini CLI

9.77%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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