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fix-parallel固定平行

Agent Skill

fix-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

514

周安装

34

GitHub Stars

6

下载量

280
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:fix-parallel(固定平行)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/fix-parallel
安装命令:
npx skills add https://github.com/duc01226/easyplatform --skill fix-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 fix-parallel

简介

fix-parallel 用于查找、检索和筛选相关信息。

  • 适合在多线程或并发场景下定位问题线索。
  • 通过 npx skills add 命令从 duc01226/easyplatform 仓库安装。
  • 需评估是否增加系统复杂度或资源消耗。
  • 建议监控其执行时间和内存使用情况。fix-parallel 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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.
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
Evidence-Based Reasoning — Speculation is FORBIDDEN. Every claim needs proof. 1. Cite file:line, grep results, or framework docs for EVERY claim 2. Declare confidence: >80% act freely, 60-80% verify first, <60% DO NOT recommend 3. Cross-service validation required for architectural changes 4. "I don't have enough evidence" is valid and expected output BLOCKED until: - [] Evidence file path (file:line) - [] Grep search performed - [] 3+ similar patterns found - [] Confidence level stated Forbidden without proof: "obviously", "I think", "should be", "probably", "this is because" If incomplete → output: "Insufficient evidence. Verified: [...]. Not verified: [...]."
  • 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)
Estimation — Modified Fibonacci: 1(trivial) → 2(small) → 3(medium) → 5(large) → 8(very large) → 13(epic, SHOULD split) → 21(MUST ATTENTION split). Output story_points and complexity in plan frontmatter. Complexity auto-derived: 1-2=Low, 3-5=Medium, 8=High, 13+=Critical.
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 /fix — parallel multi-issue resolution using subagents.

Quick Summary

Goal: Fix multiple independent issues simultaneously using parallel fullstack-developer subagents.

Workflow:

  1. Triage — Classify issues and verify independence (no shared files)
  2. Assign — Distribute issues to parallel subagents with strict file ownership
  3. Execute — Subagents fix issues independently
  4. Merge — Review and integrate all fixes

Key Rules:

  • Debug Mindset: every claim needs file:line evidence
  • Issues MUST ATTENTION be independent (no overlapping file modifications)
  • Each subagent owns specific files; no cross-boundary edits
Root Cause Debugging — Systematic approach, never guess-and-check. 1. Reproduce — Confirm the issue exists with evidence (error message, stack trace, screenshot) 2. Isolate — Narrow to specific file/function/line using binary search + graph trace 3. Trace — Follow data flow from input to failure point. Read actual code, don't infer. 4. Hypothesize — Form theory with confidence %. State what evidence supports/contradicts it 5. Verify — Test hypothesis with targeted grep/read. One variable at a time. 6. Fix — Address root cause, not symptoms. Verify fix doesn't break callers via graph connections NEVER: Guess without evidence. Fix symptoms instead of cause. Skip reproduction step.

Frontend/UI Context (if applicable)

When this task involves frontend or UI changes,
UI System Context — For ANY task touching .ts, .html, .scss, or .css files: MUST ATTENTION READ before implementing: 1. docs/project-reference/frontend-patterns-reference.md — component base classes, stores, forms 2. docs/project-reference/scss-styling-guide.md — BEM methodology, SCSS variables, mixins, responsive 3. docs/project-reference/design-system/README.md — design tokens, component inventory, icons Reference docs/project-config.json for project-specific paths.
  • Component patterns: docs/project-reference/frontend-patterns-reference.md
  • Styling/BEM guide: docs/project-reference/scss-styling-guide.md
  • Design system tokens: docs/project-reference/design-system/README.md

Debug Mindset (NON-NEGOTIABLE)

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

  • Do NOT assume the first hypothesis is correct — verify with actual code traces
  • Every root cause claim must include file:line evidence
  • If you cannot prove a root cause with a code trace, state "hypothesis, not confirmed"
  • Question assumptions: "Is this really the cause?" → trace the actual execution path
  • Challenge completeness: "Are there other contributing factors?" → check related code paths
  • No "should fix it" without proof — verify the fix addresses the traced root cause

⚠️ MANDATORY: Confidence & Evidence Gate

MANDATORY IMPORTANT MUST ATTENTION declare Confidence: X% with evidence list + file:line proof for EVERY claim. 95%+ recommend freely | 80-94% with caveats | 60-79% list unknowns | <60% STOP — gather more evidence.

⚠️ Validate Before Fix (NON-NEGOTIABLE): After root cause analysis + plan creation, MUST ATTENTION present findings + proposed fix plan to user via AskUserQuestion and get explicit approval BEFORE any code changes. No silent fixes.

Ultrathink parallel to fix: $ARGUMENTS

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

Workflow

1. Issue Analysis

  • Use debugger subagent to analyze root causes
  • Use /scout-ext to find related files
  • Categorize issues by scope/area (frontend, backend, auth, payments, etc.)
  • Identify dependencies between issues
  • External Memory: Each parallel agent writes findings to .ai/workspace/analysis/{issue-name}-{agent}.analysis.md. Main agent re-reads all before coordinating fixes.

2. Parallel Fix Planning

  • Trigger /plan-parallel <detailed-fix-instructions> for parallel-executable fix plan
  • Wait for plan with dependency graph, execution strategy, file ownership matrix
  • Group independent fixes for parallel execution
  • Sequential fixes for dependent issues
  • 🛑 Present root cause + fix plan → AskUserQuestion → wait for user approval before launching agents.

3. Parallel Fix Implementation

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

- Example: "Fix auth + Fix payments + Fix UI" → launch 3 agents simultaneously - Pass phase file path: {plan-dir}/phase-XX-*.md - Include environment info

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

Subagent Context Discipline:

  • Provide full task text — paste task content into subagent prompt; don't make subagent read plan file
  • "Ask questions before starting" — subagent should surface uncertainties before implementing
  • Self-review before reporting — subagent checks completeness, quality, YAGNI before returning results

4. Testing

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

5. Code Review

Two-Stage Task Review — Both stages MUST ATTENTION complete before marking task done. Stage 1: Self-review — Immediately after implementation: - Requirements met? No regressions? Code quality acceptable? Stage 2: Cross-review — Via code-reviewer subagent: - Catches blind spots, convention drift, missed edge cases NEVER skip Stage 2. Self-review alone misses 40%+ of issues.
1. First: dispatch `spec-compliance-reviewer` to verify each fix matches its spec
2. Only after spec passes: dispatch `code-reviewer` for quality review
  • Verify fixes don't introduce regressions
  • 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. Prove Fix

  • MANDATORY: Run /prove-fix for EACH parallel fix
  • Build code proof traces per change with confidence scores
  • If any change scores < 80%, return to debug for that fix

8. Final Report

  • Summary of all fixes from parallel phases
  • Verification status per issue (include prove-fix confidence scores)
  • Ask to commit (use git-manager if yes)

Example: Fix 1 (auth) + Fix 2 (payments) + Fix 3 (UI) → Launch 3 fullstack-developer agents → Wait → Prove each fix → Fix 4 (integration) 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 (fixes applied). This ensures prove-fix, review, testing, and docs steps aren't skipped.
  • "/prove-fix" — Prove fix correctness with code traces
  • "/test" — Run tests to verify fixes
  • "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 STOP after 3 failed fix attempts — report outcomes, ask user before #4 MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
  • 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 cite file:line evidence for every claim. Confidence >80% to act, <60% = do NOT recommend.
  • MANDATORY IMPORTANT MUST ATTENTION include story_points and complexity in plan frontmatter. SP > 8 = split.
  • MANDATORY IMPORTANT MUST ATTENTION STOP after 3 failed fix attempts. Report all attempts, ask user before continuing.
  • MANDATORY IMPORTANT MUST ATTENTION read frontend-patterns-reference, scss-styling-guide, design-system/README before any UI change.

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

33.61%
按下载量换算94

Claude

32.5%
按下载量换算91

Cursor

16.8%
按下载量换算47

Gemini CLI

8.92%
按下载量换算25

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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