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Agent Skill · 研究检索

blueprint-prp-execute(蓝图 prp 执行)

blueprint-prp-execute 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。

blueprint-prp-execute 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 40,765。

总安装 1,248周安装 52GitHub Stars 28下载 416核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:blueprint-prp-execute(蓝图 prp 执行)
来源仓库:https://github.com/laurigates/claude-plugins
仓库路径:skills/blueprint-prp-execute
安装命令:
npx skills add https://github.com/laurigates/claude-plugins --skill blueprint-prp-execute
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/laurigates/claude-plugins --skill blueprint-prp-execute

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

blueprint-prp-execute 用于系统化执行 PRP,包含实施、验证门控和 TDD 工作流。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。提供质量保证和错误处理模式,确保 PRP 的高效可靠执行。

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。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。

来源仓库内路径:skills/blueprint-prp-execute

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/laurigates/claude-plugins --skill blueprint-pr…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

blueprint-prp-execute 怎么安装?

在终端执行 npx skills add https://github.com/laurigates/claude-plugins --skill blueprint-prp-execute。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

blueprint-prp-execute 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

blueprint-prp-execute 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/laurigates/claude-plugins --skill blueprint-prp-execute 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

blueprint-prp-execute 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

blueprint-prp-execute 用的人多吗?

公开数据是累计安装 1,248 次,近一周安装 52 次,下载 416 次,GitHub 28 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

blueprint-prp-execute 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
blueprint-prp-execute

蓝图 prp 执行 · 本页

1,24828执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

/blueprint:prp-execute

Execute a PRP (Product Requirement Prompt) with systematic implementation, validation gates, TDD workflow, and quality assurance.

Usage: /blueprint:prp-execute [prp-name]

Prerequisites:

  • PRP exists in docs/prps/[prp-name].md
  • Confidence score >= 7 (if lower, suggest /blueprint:prp-create refinement)

For detailed report templates, deferred items workflow, feature tracker sync, and error handling patterns, see REFERENCE.md.

When to Use This Skill

Use this skill when...Use alternative when...
Ready to implement a planned feature from a PRPPRP is not yet ready (confidence < 7)
Want to execute with full validation and TDD workflowImplementing ad-hoc features without documentation
Need feature tracker and GitHub issue trackingWorking on isolated bug fixes
Want automatic progress reporting and deferred items trackingQuick prototyping without formal tracking

Context

  • PRP file path:!find. -maxdepth 1 -name \'docs/prps/${1:-unknown}.md\'
  • PRP confidence score:!grep -m1 "^confidence:" docs/prps/${1:-unknown}.md
  • Feature tracker enabled:!find docs/blueprint -maxdepth 1 -name 'feature-tracker.json' -type f
  • Current branch:!git rev-parse --abbrev-ref HEAD
  • Uncommitted changes:!git status --porcelain

Parameters

Parse $ARGUMENTS:

  • prp-name (required): Name of PRP file in docs/prps/ (without.md extension)

- Example: feature-auth-oauth2 → loads docs/prps/feature-auth-oauth2.md

Execution

Execute the complete PRP implementation workflow:

Step 1: Load and validate PRP

  1. Read PRP file: docs/prps/{prp-name}.md
  2. Extract confidence score from frontmatter
  3. If confidence < 7 → Error: "PRP confidence too low. Run /blueprint:prp-create {prp-name} to refine"
  4. If confidence >= 9 → Offer delegation: "This PRP has high confidence. Execute now (current session) or create work-order for delegation?"

- If work-order chosen → Run /blueprint:work-order --from-prp {prp-name} and exit - If delegation to multiple subagents chosen → Create focused work-orders per module from Implementation Blueprint and exit

  1. Continue to Step 2 if executing now OR confidence 7-8
  2. Load all referenced ai_docs entries for context
  3. Parse Implementation Blueprint and create TodoWrite entries ordered by dependencies

Step 2: Establish baseline with validation gates

Run pre-implementation validation gates (see REFERENCE.md) to establish clean starting state:

  1. Linting gate: [command from PRP] - Expected: PASS
  2. Existing tests gate: [command from PRP] - Expected: PASS

If gates fail:

  • Document existing issues
  • Decide: fix first or proceed with note
  • Continue when ready

Step 3: Execute TDD implementation cycle

For each task in Implementation Blueprint:

  1. RED phase: Write failing test matching PRP TDD Requirements

- Create test file if needed - Run tests → Confirm FAILURE (test is meaningful)

  1. GREEN phase: Implement minimal code to pass test

- Follow Codebase Intelligence patterns from PRP - Apply patterns from ai_docs references - Watch for Known Gotchas - Run tests → Confirm SUCCESS

  1. REFACTOR phase: Improve code while keeping tests green

- Extract common patterns - Improve naming, add type hints - Follow project conventions - Run tests → Confirm PASS - Run validation gates frequently (not just at end)

  1. Mark progress: Update TodoWrite: ✅ Task N: [Description]

Step 4: Run comprehensive final validation

Execute all validation gates from PRP (see REFERENCE.md):

  • Linting: [cmd] - Expected: PASS
  • Type checking: [cmd] - Expected: PASS
  • Unit tests: [cmd] - Expected: PASS (all tests)
  • Integration tests: [cmd] - Expected: PASS (if applicable)
  • Coverage check: [cmd] - Expected: Meets threshold
  • Security scan: [cmd] - Expected: No high/critical issues (if applicable)
  • Performance tests: [cmd] - Expected: Meets baseline (if defined)

Verify each success criterion from PRP.

Step 5: Document deferred items

Identify and track any deferred work:

  1. Review Implementation Blueprint - items not completed
  2. Categorize each deferred item:

- Phase 2 (Required): Must have GitHub issues created - Nice-to-Have: Optional, no issue required - Blocked: Cannot complete - document blocker, create issue

  1. Create GitHub issues for all Phase 2 and Blocked items (see REFERENCE.md)
  2. Update PRP with deferred items section linking to GitHub issues
  3. Do NOT proceed to Step 6 until all required issues are created

Step 6: Sync feature tracker (if enabled)

If feature tracker exists (docs/blueprint/feature-tracker.json):

  1. Identify which feature codes (e.g., FR2.1) were addressed from PRP
  2. Update feature tracker for each code:

- Status: complete (all criteria met) or partial (some criteria met) or in_progress - Files: List of modified/created files - Tests: List of test files - Commits: Commit hashes - Notes: Implementation notes

  1. Recalculate statistics: completion percentages, phase status
  2. Update TODO.md: Check boxes for completed features
  3. Report feature tracker changes

Step 7: Report results and next steps

Generate comprehensive execution summary report:

  • Tasks completed: X/Y
  • Tests added: N
  • Files modified: [list]
  • Validation results: Table of all gates (PASS/FAIL status)
  • Success criteria: All verified
  • Deferred items summary: Count and GitHub issue numbers
  • Feature tracker updates: Features updated and percentages
  • New gotchas discovered: [documented for future reference]
  • Recommendations: Follow-up work or ai_docs updates

Prompt user for next action:

  • Commit changes (Recommended) → Run /git:commit
  • Create work-order for follow-up → Run /blueprint:work-order
  • Update ai_docs with patterns → Run /blueprint:curate-docs
  • Continue to next PRP → Run /blueprint:prp-execute [next]
  • Done for now → Exit

Agentic Optimizations

ContextCommand
Check PRP exists`test -f docs/prps/${1}.md && echo "EXISTS" \\echo "MISSING"`
Extract confidence`head -50 docs/prps/${1}.md \grep -m1 "^confidence:" \sed 's/^[^:]*:[[:space:]]*//'`
List all PRPs`ls docs/prps/*.md 2>/dev/null \xargs basename -s.md`
Check feature tracker`test -f docs/blueprint/feature-tracker.json && echo "YES" \\echo "NO"`
Fast validationRun validation gates in parallel when possible

For detailed validation gate definitions, deferred items workflow, error handling procedures, and agent team coordination, see REFERENCE.md.

平台分布

Codex

40.24%
按下载量换算167

Claude

29.41%
按下载量换算122

Cursor

18.79%
按下载量换算78

Gemini CLI

9.15%
按下载量换算38

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/laurigates/claude-plugins --skill blueprint-prp-execute 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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