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apexapex 分析

Agent Skill

apex 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

449

周安装

18

GitHub Stars

187

下载量

145
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:apex(apex 分析)
来源仓库:https://github.com/melvynx/aiblueprint
仓库路径:skills/apex
安装命令:
npx skills add https://github.com/melvynx/aiblueprint --skill apex
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/melvynx/aiblueprint --skill apex

简介

apex 用于查找、检索和筛选相关信息。

  • 适合在需要根据关键词或任务场景快速定位候选结果时使用。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/melvynx/aiblueprint --skill apex。
  • 建议确认权限范围和维护状态,注意是否会触发联网、命令执行或文件读写。

SKILL.md

<quick_start> Basic usage:

/apex add authentication middleware

Recommended workflow (autonomous with save):

/apex -a -s implement user registration

Flags:

  • -a (auto): Skip confirmations
  • -s (save): Save outputs to .claude/output/apex/
  • -e (economy): No subagents, save tokens

See <parameters> for complete flag list. </quick_start>

Disable flags (turn OFF):

ShortLongDescription
-A--no-autoDisable auto mode
-S--no-saveDisable save mode
-E--no-economyDisable economy mode
-B--no-branchDisable branch mode

Autonomous (skip confirmations)

/apex -a add auth middleware

Save outputs

/apex -a -s add auth middleware

Resume previous task

/apex -r 01-auth-middleware /apex -r 01 # Partial match

Economy mode (save tokens)

/apex -e add auth middleware

Interactive flag config

/apex -i add auth middleware

Disable flags (uppercase)

/apex -A add auth middleware # Disable auto

</examples>

<parsing_rules>
**Flag parsing:**

1. Defaults loaded from `steps/step-00-init.md` `<defaults>` section
2. Command-line flags override defaults (enable with lowercase `-x`, disable with uppercase `-X`)
3. Flags removed from input, remainder becomes `{task_description}`
4. Task ID generated as `NN-kebab-case-description`

For detailed parsing algorithm, see `steps/step-00-init.md`.
</parsing_rules>

</parameters>

<output_structure>
**When `{save_mode}` = true:**

All outputs saved to PROJECT directory (where Claude Code is running):

.claude/output/apex/{task-id}/ ├── 00-context.md # Params, user request, timestamp ├── 01-analyze.md # Analysis findings ├── 02-plan.md # Implementation plan ├── 03-execute.md # Execution log └── 04-validate.md # Validation results

**00-context.md structure:**

APEX Task: {task_id}

Created: {timestamp} Task: {task_description}

Flags

  • Auto mode: {auto_mode}
  • Save mode: {save_mode}
  • Economy mode: {economy_mode}

User Request

{original user input}

Acceptance Criteria

  • [ ] AC1: {inferred criterion}
  • [ ] AC2: {inferred criterion}

</output_structure>

<resume_workflow> **Resume mode (`-r {task-id}`):**

When provided, step-00 will:

1. Locate the task folder in `.claude/output/apex/`
2. Restore state from `00-context.md`
3. Find the last completed step
4. Continue from the next step

Supports partial matching (e.g., `-r 01` finds `01-add-auth-middleware`).

For implementation details, see `steps/step-00-init.md`. </resume_workflow>

<state_variables> **Persist throughout all steps:**

| Variable | Type | Description |
| --- | --- | --- |
| `{task_description}` | string | What to implement (flags removed) |
| `{feature_name}` | string | Kebab-case name without number (e.g., `add-auth-middleware`) |
| `{task_id}` | string | Full identifier with number (e.g., `01-add-auth-middleware`) |
| `{acceptance_criteria}` | list | Success criteria (inferred or explicit) |
| `{auto_mode}` | boolean | Skip confirmations, use recommended options |
| `{save_mode}` | boolean | Save outputs to.claude/output/apex/ |
| `{economy_mode}` | boolean | No subagents, direct tool usage only |
| `{branch_mode}` | boolean | Verify not on main, create branch if needed |
| `{interactive_mode}` | boolean | Configure flags interactively |
| `{resume_task}` | string | Task ID to resume (if -r provided) |
| `{output_dir}` | string | Full path to output directory |
| `{branch_name}` | string | Created branch name (if branch_mode) |

</state_variables>

<entry_point>

**FIRST ACTION:** Load `steps/step-00-init.md`

Step 00 handles:

- Flag parsing (-a, -x, -s, -r, --test)
- Resume mode detection and task lookup
- Output folder creation (if save_mode)
- 00-context.md creation (if save_mode)
- State variable initialization

After initialization, step-00 loads step-01-analyze.md.

</entry_point>

<step_files> **Progressive loading - only load current step:**

| Step | File | Purpose |
| --- | --- | --- |
| 00 | `steps/step-00-init.md` | Parse flags, create output folder, initialize state |
| 01 | `steps/step-01-analyze.md` | Smart context gathering with 1-10 parallel agents based on complexity |
| 02 | `steps/step-02-plan.md` | File-by-file implementation strategy |
| 03 | `steps/step-03-execute.md` | Todo-driven implementation |
| 04 | `steps/step-04-validate.md` | Self-check, validation, and workflow completion |

</step_files>

<execution_rules>

- **Load one step at a time** - Only load the current step file
- **ULTRA THINK** before major decisions
- **Persist state variables** across all steps
- **Follow next_step directive** at end of each step
- **Save outputs** if `{save_mode}` = true (append to step file)
- **Use parallel agents** for independent exploration tasks

## 🧠 Smart Agent Strategy in Analyze Phase

The analyze phase (step-01) uses **adaptive agent launching** (unless economy_mode):

**Available agents:**

- `explore-codebase` - Find existing patterns, files, utilities
- `explore-docs` - Research library docs (use when unfamiliar with API)
- `websearch` - Find approaches, best practices, gotchas

**Launch 1-10 agents based on task complexity:**

| Complexity | Agents | When |
| --- | --- | --- |
| Simple | 1-2 | Bug fix, small tweak |
| Medium | 2-4 | New feature in familiar stack |
| Complex | 4-7 | Unfamiliar libraries, integrations |
| Major | 6-10 | Multiple systems, many unknowns |

**BE SMART:** Analyze what you actually need before launching. Don't over-launch for simple tasks, don't under-launch for complex ones.

</execution_rules>

<save_output_pattern> **When `{save_mode}` = true:**

Step-00 runs `scripts/setup-templates.sh` to initialize all output files from `templates/` directory.

**Each step then:**

1. Run `scripts/update-progress.sh {task_id} {step_num} {step_name} "in_progress"`
2. Append findings/outputs to the pre-created step file
3. Run `scripts/update-progress.sh {task_id} {step_num} {step_name} "complete"`

**Template system benefits:**

- Reduces token usage by ~75% (1,350 tokens saved per workflow)
- Templates in `templates/` directory (not inline in steps)
- Scripts handle progress tracking automatically
- See `templates/README.md` for details

</save_output_pattern>

<success_criteria>

- Each step loaded progressively
- All validation checks passing
- Outputs saved if `{save_mode}` enabled
- Clear completion summary provided </success_criteria>

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

37.92%
按下载量换算55

Claude

28.63%
按下载量换算42

Cursor

18.85%
按下载量换算27

Gemini CLI

10.34%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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/melvynx/aiblueprint --skill apex 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 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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