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Agent Skill · 研究检索

dependency-analysis(依赖性分析)

dependency-analysis 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。

dependency-analysis 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,权限为需要联网;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 7,635。

总安装 18,453周安装 688GitHub Stars 公开资料未说明下载 7,139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
MIT

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:dependency-analysis(依赖性分析)
来源仓库:https://github.com/jpicklyk/task-orchestrator
仓库路径:skills/dependency-analysis
安装命令:
npx skills add jpicklyk/task-orchestrator --skill "dependency-analysis"
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。

AgentSkills.tonpx skills
npx skills add jpicklyk/task-orchestrator --skill "dependency-analysis"

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。

用于查找、检索和筛选相关信息,支持关键词快速定位。适合在 Codex、Claude、Cursor 等宿主中处理信息任务。可结合来源仓库和 README 核验具体用法和细节。安装前需确认权限范围、维护状态及是否触发联网或文件读写。建议优先使用官方推荐的安装命令以确保兼容性。

dependency-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/dependency-analysis

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 jpicklyk/task-orchestrator --skill "dependency-analysis";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

    它需要需要联网,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

dependency-analysis 怎么安装?

在终端执行 npx skills add jpicklyk/task-orchestrator --skill "dependency-analysis"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

dependency-analysis 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。

dependency-analysis 需要什么权限?

权限级别是需要联网。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。

dependency-analysis 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

dependency-analysis 用的人多吗?

公开数据是累计安装 18,453 次,近一周安装 688 次,下载 7,139 次。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。

dependency-analysis 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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

  • 要求有安全扫描结论才肯安装的团队。
  • 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
dependency-analysis

依赖性分析 · 本页

18,453—需要联网MIT未收录

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

name
Dependency Analysis
description
Analyze task dependencies including finding blocked tasks, checking dependency chains, and identifying bottlenecks. Use when investigating why tasks are blocked or planning parallel work.
allowed-tools
mcp__task-orchestrator__query_container, mcp__task-orchestrator__query_dependencies

Dependency Analysis Skill

Purpose

This Skill helps you analyze task dependencies within Task Orchestrator to:

  • Find all blocked tasks in a feature
  • Analyze dependency chains to understand task relationships
  • Identify bottleneck tasks that are blocking multiple others
  • Recommend which dependencies to resolve first for maximum parallel work

When to Use This Skill

Use Dependency Analysis when:

  • ✅ User asks "what's blocking progress?" or "why can't we start this task?"
  • ✅ Planning parallel work across team members
  • ✅ Feature appears stalled with no tasks in progress
  • ✅ Need to prioritize which tasks to complete first
  • ✅ Investigating circular dependencies
  • ✅ Optimizing task execution order

Don't use this Skill when:

  • ❌ Creating new dependencies (use manage_dependency directly)
  • ❌ Removing dependencies (use manage_dependency directly)
  • ❌ Just checking a single task's dependencies (use query_dependencies directly)

Core Workflows

Workflow 1: Find All Blocked Tasks

When to use: User wants to know what tasks can't be started yet

Steps:

  1. Get feature ID (from context or ask user)
  2. Search for all tasks in feature: query_container(operation="search", containerType="task", featureId=<id>)
  3. For each task, check dependencies: query_dependencies(taskId=<id>, direction="incoming")
  4. Filter tasks that have incomplete blocking dependencies
  5. Present summary: "X tasks are blocked, waiting on Y dependencies"

Example:

User: "What's blocking progress on the authentication feature?"

You (using this Skill):
1. query_container(operation="search", containerType="task", featureId="auth-feature-id", status="pending,in-progress")
2. For each task: query_dependencies(taskId="...", direction="incoming", includeTaskInfo=true)
3. Found 3 blocked tasks:
   - "Implement login UI" (blocked by "Create auth API" - status: in-progress)
   - "Add logout flow" (blocked by "Create auth API" - status: in-progress)
   - "Add password reset" (blocked by "Create auth API", "Implement login UI")
4. Response: "3 tasks are blocked. Priority: Complete 'Create auth API' first (unblocks 3 tasks)"

Workflow 2: Analyze Dependency Chains

When to use: Need to understand full sequence of task dependencies

Steps:

  1. Start with target task ID
  2. Call query_dependencies(taskId=<id>, direction="incoming")
  3. Build dependency tree:

- Direct dependencies (must complete immediately before) - Full dependency chain from returned data

  1. Identify longest chain (critical path)
  2. Present visual representation

Example:

User: "What needs to happen before we can deploy the feature?"

You (using this Skill):
1. query_dependencies(taskId="deploy-task-id", direction="incoming", includeTaskInfo=true)
2. Chain discovered:
   - Deploy Feature (target)
     ← Integration Tests
       ← Frontend Implementation
         ← API Implementation
           ← Database Schema
3. Response: "Critical path is 5 tasks deep. Start with 'Database Schema' (no dependencies)"

Workflow 3: Identify Bottleneck Tasks

When to use: Want to know which tasks are blocking the most work

Steps:

  1. Get all tasks in feature with query_container(operation="search", containerType="task", featureId=<id>)
  2. For each pending/in-progress task:

- Count how many tasks depend on it (outgoing dependencies)

  1. Sort by dependent count (descending)
  2. Highlight top bottlenecks with dependent task counts

Example:

User: "Which tasks should we prioritize to unblock the most work?"

You (using this Skill):
1. query_container(operation="search", containerType="task", featureId="feature-id", status="pending,in_progress")
2. Analyze outgoing dependencies:
   - "Create auth API" → 5 tasks depend on this (BOTTLENECK)
   - "Setup database" → 3 tasks depend on this
   - "Design user flow" → 2 tasks depend on this
   - "Write documentation" → 0 tasks depend on this
3. Response: "Priority 1: 'Create auth API' (unblocks 5 tasks). Priority 2: 'Setup database' (unblocks 3 tasks)"

Workflow 4: Recommend Resolution Order

When to use: Multiple blocked tasks, need to decide what to work on

Steps:

  1. Search for all tasks: query_container(operation="search", containerType="task", featureId=<id>)
  2. For each task, get dependencies: query_dependencies(taskId=<id>, direction="all", includeTaskInfo=true)
  3. Identify tasks that are blocking others (outgoing dependencies with incomplete status)
  4. For each blocking task:

- Count how many tasks it unblocks - Get task priority and complexity from search results

  1. Calculate resolution score:

- Higher score = unblocks more tasks + higher priority + lower complexity

  1. Recommend top 3 tasks to complete first

Scoring formula:

Score = (tasks_unblocked × 10) + (priority_weight × 5) - (complexity_weight × 2)

Priority weights: critical=5, high=4, medium=3, low=2, trivial=1
Complexity: use inverse (10 - complexity_rating)

Example:

User: "We have 10 blocked tasks. What should we work on first?"

You (using this Skill):
1. query_container(operation="search", containerType="task", featureId="feature-id", status="pending,in-progress")
2. For each task: query_dependencies(taskId="...", direction="outgoing", includeTaskInfo=true)
3. Analyze blocking dependencies:
   - "Create auth API": unblocks 5 tasks, priority=high, complexity=6
     Score = (5×10) + (4×5) - (6×2) = 50 + 20 - 12 = 58
   - "Setup database": unblocks 3 tasks, priority=critical, complexity=8
     Score = (3×10) + (5×5) - (8×2) = 30 + 25 - 16 = 39
4. Response: "Work on 'Create auth API' first (score: 58, unblocks 5 tasks)"

Advanced Patterns

Pattern: Detect Circular Dependencies

Problem: Tasks depend on each other, creating a deadlock

Detection:

  1. Get task dependencies recursively
  2. Track visited tasks
  3. If you encounter a task already in the chain → circular dependency found

Response:

"⚠️ Circular dependency detected:
Task A depends on Task B, which depends on Task C, which depends on Task A.
Action required: Remove one dependency to break the cycle."

Pattern: Find Parallelizable Work

Goal: Identify tasks that can be worked on simultaneously

Steps:

  1. Get all pending tasks
  2. Filter to tasks with no incomplete dependencies
  3. Group by specialist type (backend, frontend, etc.)
  4. Recommend parallel assignments

Example output:

"Ready to start in parallel:
- Implementation Specialist (Haiku): 'Implement user service' (backend-implementation Skill)
- Implementation Specialist (Haiku): 'Create login form' (frontend-implementation Skill)
- Implementation Specialist (Haiku): 'Add user indexes' (database-implementation Skill)
All 3 tasks have no dependencies and can proceed simultaneously."

Pattern: Critical Path Analysis

Goal: Find the longest sequence of dependent tasks

Steps:

  1. Build complete dependency graph
  2. Calculate longest path from start to each task
  3. Identify tasks on critical path (longest sequence)
  4. Recommend focusing on critical path to minimize total time

Tool Usage Guidelines

Finding Blocked Tasks

Approach: Search for tasks, then check each for blocking dependencies

Steps:

  1. Search for tasks: query_container(operation="search", containerType="task", featureId=<id>, status="pending,in-progress")
  2. For each task: query_dependencies(taskId=<id>, direction="incoming", includeTaskInfo=true)
  3. Filter tasks where any incoming dependency has status != "completed" and status != "cancelled"

Usage:

// Step 1: Get all active tasks
query_container(operation="search", containerType="task", featureId="550e8400-e29b-41d4-a716-446655440000", status="pending,in-progress")

// Step 2: Check each task for blockers
query_dependencies(taskId="task-id", direction="incoming", includeTaskInfo=true)

// Step 3: Identify blocked tasks from dependency status

query_dependencies

Purpose: Get dependencies for a specific task

Parameters:

  • taskId (required): Task to analyze
  • direction (optional): "incoming", "outgoing", or "all" (default: all)
  • type (optional): "BLOCKS", "IS_BLOCKED_BY", "RELATES_TO", or "all"
  • includeTaskInfo (optional): Include task titles and status

Returns: Dependencies with direction filtering and counts

Usage:

// All dependencies
query_dependencies(taskId="task-id")

// Just incoming dependencies (what blocks this task)
query_dependencies(taskId="task-id", direction="incoming", includeTaskInfo=true)

query_container (get task)

Purpose: Get full task details including summary and priority

Parameters:

  • operation: "get" (required)
  • containerType: "task" (required)
  • id (required): Task UUID
  • includeSections (optional): Include detailed content sections

Usage:

query_container(
  operation="get",
  containerType="task",
  id="task-id",
  includeSections=false
)

query_container (search tasks)

Purpose: Find tasks by criteria

Parameters:

  • operation: "search" (required)
  • containerType: "task" (required)
  • featureId (optional): Filter by feature
  • status (optional): Filter by status
  • tags (optional): Filter by tags

Usage:

// Find all pending tasks in feature
query_container(operation="search", containerType="task", featureId="feature-id", status="pending")

// Find all in-progress tasks
query_container(operation="search", containerType="task", status="in_progress")

Best Practices

1. Start Broad, Then Narrow

Always begin with feature-level analysis:

Step 1: query_container(operation="search", containerType="task", featureId=X) → Get all tasks
Step 2: query_dependencies(taskId=Y, ...) for each task → Identify blocked tasks
Step 3: Analyze patterns and prioritize resolution

2. Consider Task Metadata

When recommending priorities, factor in:

  • Priority: Critical tasks should be resolved first
  • Complexity: Lower complexity = faster to complete
  • Blocking count: More tasks unblocked = higher impact
  • Specialist availability: Can the right person work on it?

3. Visualize Chains

Present dependency chains visually:

Task E (Deploy)
  ← Task D (Integration Tests)
    ← Task C (Frontend)
      ← Task B (API)
        ← Task A (Database Schema)

Critical path: 5 tasks, start with Task A

4. Provide Actionable Recommendations

Don't just report problems, suggest solutions:

  • ❌ "Task X is blocked by Task Y"
  • ✅ "Complete Task Y first to unblock 3 tasks including Task X"

5. Watch for Anti-Patterns

Warn users about:

  • Circular dependencies (deadlock situation)
  • Long dependency chains (>5 tasks deep = brittle)
  • Single bottleneck tasks (risk if that person is unavailable)
  • Tasks with many dependencies (complexity, coordination overhead)

Common Mistakes to Avoid

Mistake 1: Not Checking Complete Dependency Chains

Problem: Missing hidden dependencies in the chain

Solution: Recursively query dependencies using direction="incoming" to build complete dependency tree

Mistake 2: Ignoring Task Status

Problem: Counting completed tasks as blockers

Solution: Filter to status=pending,in_progress when analyzing blockers

Mistake 3: Overwhelming Users

Problem: Dumping full dependency graph without interpretation

Solution: Summarize findings, prioritize recommendations

Mistake 4: Not Updating Analysis

Problem: Dependencies change, old analysis becomes stale

Solution: Re-run analysis when tasks complete or dependencies change

Response Templates

Blocked Tasks Summary

Found [N] blocked tasks in feature "[Feature Name]":

Priority 1: Complete "[Task Title]" → Unblocks [X] tasks
Priority 2: Complete "[Task Title]" → Unblocks [Y] tasks
Priority 3: Complete "[Task Title]" → Unblocks [Z] tasks

[N-3] other tasks blocked with lower impact.

Recommendation: Focus on Priority 1 for maximum parallel work.

Bottleneck Identification

Dependency Analysis for "[Feature Name]":

Bottleneck Tasks (blocking multiple others):
1. "[Task Title]" (complexity: [X]/10) → Blocking [N] tasks
   Status: [status] | Priority: [priority]

2. "[Task Title]" (complexity: [Y]/10) → Blocking [M] tasks
   Status: [status] | Priority: [priority]

Recommendation: Complete task #1 first to unblock maximum work.

Critical Path Report

Critical Path Analysis for "[Feature Name]":

Longest dependency chain: [N] tasks deep
Path: [Task A] → [Task B] → [Task C] → [Task D] → [Task E]

Estimated sequence:
1. [Task A] (complexity: [X]/10, priority: [priority])
2. [Task B] (complexity: [Y]/10, priority: [priority])
... [etc]

Ready to start now: [Task A] (no dependencies)

Integration with Other Skills

Works Well With

Feature Management Skill:

  • Use dependency analysis to recommend next task intelligently
  • Check for blockers before recommending new work

Task Management Skill:

  • Validate dependencies before marking task complete
  • Route blocked tasks appropriately

Planning Specialist (Subagent):

  • Provide dependency analysis to inform task breakdown
  • Identify dependencies during feature planning

See Also

  • examples.md: Concrete usage scenarios with sample data
  • troubleshooting.md: Common dependency issues and solutions
  • Feature Management Skill: Task recommendation workflow
  • Task Management Skill: Task completion workflow

平台分布

windsurf

30.85%
按下载量换算2,202

OpenCode

21.37%
按下载量换算1,526

Codex

18.08%
按下载量换算1,291

Claude Code

11.29%
按下载量换算806

Antigravity

7.73%
按下载量换算552

Gemini CLI

3.34%
按下载量换算238

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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