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qcsd-ideation-swarmqcsd 创意群

Agent Skill

qcsd-ideation-swarm 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

1,458

周安装

59

GitHub Stars

329

下载量

458
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:qcsd-ideation-swarm(qcsd 创意群)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/qcsd-ideation-swarm
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-ideation-swarm
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/proffesor-for-testing/agentic-qe --skill qcsd-ideation-swarm

简介

用于创意发散与线索检索,适合在关键词探索、场景拆解或来源调研时快速定位候选信息。

  • 支持多轮筛选与来源聚合,可结合任务目标整理思路、发现关联点或验证假设方向。
  • 通过 npx 命令从指定仓库安装,需确认权限范围与网络访问能力,避免触发敏感操作。
  • 建议先查阅原始 README 了解参数用法,并在测试环境验证其对文件、命令的实际影响。
  • qcsd-ideation-swarm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

QCSD Ideation Swarm v7.0

Shift-left quality engineering swarm for PI Planning and Sprint Planning.


Overview

The Ideation Swarm assesses stories and URLs before development begins, using HTSM v6.3 quality criteria, Risk Storming, and Testability analysis. It renders a GO / CONDITIONAL / NO-GO decision and is the first gate in the QCSD lifecycle.

QCSD Phase Positioning

PhaseSwarmDecisionWhen
Ideationqcsd-ideation-swarmGO / CONDITIONAL / NO-GOPI/Sprint Planning
Refinementqcsd-refinement-swarmREADY / CONDITIONAL / NOT-READYSprint Refinement
Developmentqcsd-development-swarmSHIP / CONDITIONAL / HOLDDuring Sprint
Verificationqcsd-cicd-swarmRELEASE / REMEDIATE / BLOCKPre-Release / CI-CD
Productionqcsd-production-swarmHEALTHY / DEGRADED / CRITICALPost-Release

Parameters

  • URL: Website to analyze (required for URL mode)
  • OUTPUT_FOLDER: Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/{domain}/)

Unique Features

  • URL Mode: Automated 5-tier browser cascade for live website analysis
  • HAS_VIDEO Flag: Detects video content and recommends /a11y-ally follow-up
  • HTML Output: Generates HTML reports when html_output: true
  • Browser Cascade: Vibium -> agent-browser -> Playwright+Stealth -> WebFetch -> WebSearch-fallback

ENFORCEMENT RULES - READ FIRST

RuleEnforcement
E1You MUST spawn ALL THREE core agents (qe-quality-criteria-recommender, qe-risk-assessor, qe-requirements-validator) in Step 2. No exceptions.
E2You MUST put all parallel Task calls in a SINGLE message.
E3You MUST STOP and WAIT after each batch. No proceeding early.
E4You MUST spawn conditional agents if flags are TRUE. No skipping.
E5You MUST apply GO/CONDITIONAL/NO-GO logic exactly as specified in Step 5.
E6You MUST generate the full report structure. No abbreviated versions.
E7Each agent MUST read its reference files before analysis.
E8You MUST execute Step 7 learning persistence. No skipping.

PROHIBITED BEHAVIORS:

  • Summarizing instead of spawning agents
  • Skipping agents "for brevity"
  • Proceeding before background tasks complete
  • Providing your own analysis instead of spawning specialists
  • Omitting report sections or using placeholder text

Step Execution Protocol

This skill uses a micro-file step architecture. Each step is a self-contained file loaded one at a time to avoid "lost in the middle" context degradation.

Execute steps sequentially by reading each step file with the Read tool.

Steps

  1. Flag Detection -- steps/01-flag-detection.md -- Fetch URL content (browser cascade), detect all 7 flags (HAS_UI, HAS_SECURITY, HAS_UX, HAS_VIDEO, HAS_MIDDLEWARE, HAS_SAP_INTEGRATION, HAS_AUTHORIZATION)
  2. Core Agents -- steps/02-core-agents.md -- Spawn qe-quality-criteria-recommender, qe-risk-assessor, qe-requirements-validator in parallel
  3. Batch 1 Results -- steps/03-batch1-results.md -- Wait for core agents, extract all metrics
  4. Conditional Agents -- steps/04-conditional-agents.md -- Spawn flagged conditional agents in parallel
  5. Decision Synthesis -- steps/05-decision-synthesis.md -- Apply GO/CONDITIONAL/NO-GO logic
  6. Report Generation -- steps/06-report-generation.md -- Generate executive summary and full report
  7. Learning Persistence -- steps/07-learning-persistence.md -- Store findings to memory, save persistence record, include video follow-up recommendation
  8. Final Output -- steps/08-final-output.md -- Display completion summary with all scores and follow-up recommendations

Execution Instructions

  1. Use the Read tool to load the current step file (e.g., Read({file_path: ".claude/skills/qcsd-ideation-swarm/steps/01-flag-detection.md"}))
  2. Execute the step's instructions completely
  3. Verify all success criteria are met before proceeding
  4. Pass the step's output as context to the next step
  5. If a step fails, halt and report the failure point -- do not skip ahead

Resume Support

To resume from a specific step: specify --from-step N and the orchestrator will skip to step N. Ensure you have the required prerequisite data from prior steps.


Agent Inventory

AgentTypeDomainBatch
qe-quality-criteria-recommenderCore (always)requirements-validation1
qe-risk-assessorCore (always)coverage-analysis1
qe-requirements-validatorCore (always)requirements-validation1
qe-accessibility-auditorConditional (HAS_UI)visual-accessibility2
qe-security-auditorConditional (HAS_SECURITY)security-compliance2
qe-qx-partnerConditional (HAS_UX)cross-domain2
qe-middleware-validatorConditional (HAS_MIDDLEWARE)enterprise-integration2
qe-sap-rfc-testerConditional (HAS_SAP_INTEGRATION)enterprise-integration2
qe-sod-analyzerConditional (HAS_AUTHORIZATION)enterprise-integration2

Total: 9 agents (3 core + 6 conditional)

Note: The Ideation swarm has 8 steps (not 9) because it has no separate final analysis agent step. The HAS_VIDEO flag triggers a follow-up recommendation for /a11y-ally but does not spawn an additional agent.


Quality Gate Thresholds

MetricGOCONDITIONALNO-GO
Testability Score>= 70%40 - 69%< 40%
Risk ScoreLOW/MEDIUMHIGH (mitigatable)CRITICAL
Requirements Completeness>= 80%50 - 79%< 50%
Quality Criteria Coverage>= 7/10 categories4-6/10 categories< 4/10 categories

Report Filename Mapping

AgentReport FilenameStep
qe-quality-criteria-recommender02-quality-criteria.md2
qe-risk-assessor03-risk-assessment.md2
qe-requirements-validator04-requirements-validation.md2
qe-accessibility-auditor05-accessibility-audit.md4
qe-security-auditor06-security-audit.md4
qe-qx-partner07-ux-assessment.md4
qe-middleware-validator08-middleware-assessment.md4
qe-sap-rfc-tester09-sap-assessment.md4
qe-sod-analyzer10-sod-compliance.md4
Learning Persistence11-learning-persistence.json7
Synthesis01-executive-summary.md6

Execution Model Options

ModelWhen to UseAgent Spawn
Task Tool (PRIMARY)Claude Code sessionsTask({subagent_type, run_in_background: true})
MCP ToolsMCP server availablefleet_init({}) / task_submit({})
CLITerminal/scriptsswarm init / agent spawn

Key Principle

Quality is built in from the start, not tested in at the end. This swarm ensures stories are viable, testable, and risk-assessed before any code is written.

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

38.05%
按下载量换算174

Claude

26.4%
按下载量换算121

Cursor

19.28%
按下载量换算88

Gemini CLI

9.07%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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