Token导航 LogoToken导航TokenDH.com
研究检索执行命令github未标认证来源可访问许可证需确认审计提醒

roadmap-with-file带文件的路线图

Agent Skill

roadmap-with-file 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

873

周安装

36

GitHub Stars

1,924

下载量

285
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:roadmap-with-file(带文件的路线图)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/roadmap-with-file
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill roadmap-with-file
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/catlog22/claude-code-workflow --skill roadmap-with-file

简介

用于基于文件内容生成或分析路线图,支持结构化数据处理。

  • 适合将 Markdown 或其他格式文档转化为可视化路径。
  • 通过 npx 命令从 claude-code-workflow 仓库安装,操作标准化。
  • 需确认是否要求特定文件命名规则或目录结构。
  • roadmap-with-file 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Auto Mode

When --yes or -y: Auto-confirm strategy selection, use recommended mode, skip interactive refinement rounds. This skill is planning-only — it NEVER executes code or modifies source files. Output is the roadmap + issues for user review.

Roadmap-with-file Skill

Usage

$roadmap-with-file "Implement user authentication system with OAuth and 2FA"
$roadmap-with-file -m progressive "Build real-time notification system"
$roadmap-with-file -m direct "Refactor payment module"
$roadmap-with-file -m auto "Add data export feature"
$roadmap-with-file --continue "auth system"
$roadmap-with-file -y "Implement caching layer"

Flags:

  • -y, --yes: Skip all confirmations (auto mode)
  • -c, --continue: Continue existing session
  • -m, --mode: Strategy selection (progressive / direct / auto)

Context Source: cli-explore-agent (optional) + requirement analysis Output Directory: .workflow/.roadmap/{session-id}/ Core Output: roadmap.md (single source, human-readable) + issues.jsonl (global, machine-executable)


Subagent API Reference

spawn_agent

Create a new subagent with task assignment.

const agentId = spawn_agent({
  agent_type: "{agent_type}",
  message: `
## TASK ASSIGNMENT

### MANDATORY FIRST STEPS (Agent Execute)
1. Read: .workflow/project-tech.json
2. Read: .workflow/project-guidelines.json

## TASK CONTEXT
${taskContext}

## DELIVERABLES
${deliverables}
`
})

wait_agent

Get results from subagent (only way to retrieve results).

const result = wait_agent({
  targets: [agentId],
  timeout_ms: 600000  // 10 minutes
})

if (result.timed_out) {
  // Handle timeout - can use assign_task to prompt completion
}

assign_task

Assign new work to active subagent (for clarification or follow-up).

assign_task({
  target: agentId,
  items: [{ type: "text", text: `
## CLARIFICATION ANSWERS
${answers}

## NEXT STEP
Continue with plan generation.
` }]
})

close_agent

Clean up subagent resources (irreversible).

close_agent({ target: agentId })

Output Artifacts

Single Source of Truth

ArtifactPurposeConsumer
roadmap.md⭐ Human-readable strategic roadmap with all contextHuman review, csv-wave-pipeline handoff
.workflow/issues/issues.jsonlGlobal issue store (appended)csv-wave-pipeline, issue commands

Why No Separate JSON Files?

Original FileWhy RemovedWhere Content Goes
strategy-assessment.jsonDuplicates roadmap.md contentEmbedded in roadmap.md Strategy Assessment section
exploration-codebase.jsonSingle-use intermediateEmbedded in roadmap.md Codebase Context appendix

Overview

Strategic requirement roadmap with iterative decomposition. Creates a single roadmap.md that evolves through discussion, with issues persisted to global issues.jsonl for execution.

Core workflow: Understand → Decompose → Iterate → Validate → Handoff

Key features:

  • roadmap.md: Single source of truth — strategy, roadmap, convergence, iteration history
  • Dual decomposition: Progressive (MVP→Optimized) or Direct (topological tasks)
  • External research: Web search for architecture patterns and best practices via web.run
  • Issue creation: Issues persisted to global issues.jsonl for execution pipeline
  • Progress tracking: functions.update_plan for real-time phase progress visibility
  • Decision recording: Structured decision trail with context and rationale
  • Structured handoff: Terminal gate with execution planning, issue viewing, or completion
┌─────────────────────────────────────────────────────────────────────────┐
│                    ROADMAP ITERATIVE WORKFLOW                            │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                          │
│  Session Init                                                            │
│     ├─ Parse flags, generate session ID                                  │
│     ├─ functions.exec_command (mkdir session folder)                      │
│     └─ functions.update_plan (5 phases: Understand → Decompose →         │
│        Refine → Handoff → GATE)                                          │
│                                                                          │
│  Phase 1: Requirement Understanding & Strategy                           │
│     ├─ Parse requirement: goal / constraints / stakeholders              │
│     ├─ Assess uncertainty level → recommend mode                         │
│     ├─ User confirms strategy via functions.request_user_input           │
│     └─ Initialize roadmap.md with Strategy Assessment                    │
│                                                                          │
│  Phase 2: Decomposition & Issue Creation                                 │
│     ├─ Optional codebase exploration (functions.exec_command detection)   │
│     ├─ cli-roadmap-plan-agent executes decomposition                     │
│     ├─ Progressive: 2-4 layers (MVP→Optimized) with convergence          │
│     ├─ Direct: Topological task sequence with convergence                │
│     ├─ Create issues via ccw issue create → issues.jsonl                 │
│     └─ Update roadmap.md with Roadmap table + Issue references           │
│                                                                          │
│  Phase 3: Iterative Refinement (Multi-Round, Decision Recording)         │
│     ├─ Present roadmap to user (Cumulative Context)                      │
│     ├─ Feedback via functions.request_user_input:                        │
│     │   Approve | Adjust Scope | Refine Criteria | Research/Re-decompose │
│     ├─ External research via web.run (optional — patterns, practices)    │
│     ├─ Record decisions in Iteration History (Record-Before-Continue)     │
│     └─ Repeat until approved (max 5 rounds)                              │
│                                                                          │
│  Phase 4: Handoff (PLANNING ENDS HERE)                                   │
│     ├─ Final roadmap.md with Issue ID references                         │
│     └─ MANDATORY Terminal Gate: 执行计划 / 查看Issue / 完成              │
│         ├─ Execute Plan → display csv-wave-pipeline command               │
│         ├─ View Issues → ccw issue list                                  │
│         └─ Done → end workflow                                           │
│                                                                          │
└─────────────────────────────────────────────────────────────────────────┘

Dual Modes

ModeStrategyBest ForDecomposition
ProgressiveMVP → Usable → Refined → OptimizedHigh uncertainty, need validation2-4 layers, each with full convergence
DirectTopological task sequenceClear requirements, confirmed techTasks with explicit inputs/outputs

Auto-selection logic:

  • ≥3 high uncertainty factors → Progressive
  • ≥3 low uncertainty factors → Direct
  • Otherwise → Ask user preference

Output Structure

.workflow/.roadmap/RMAP-{slug}-{date}/
└── roadmap.md                  # ⭐ Single source of truth
                                #   - Strategy Assessment (embedded)
                                #   - Roadmap Table
                                #   - Convergence Criteria per Issue
                                #   - Codebase Context (appendix, if applicable)
                                #   - Iteration History

.workflow/issues/issues.jsonl   # Global issue store (appended)
                                #   - One JSON object per line
                                #   - Consumed by csv-wave-pipeline, issue commands

roadmap.md Template

# Requirement Roadmap

**Session**: RMAP-{slug}-{date}
**Requirement**: {requirement}
**Strategy**: {progressive|direct}
**Status**: {Planning|Refining|Ready}
**Created**: {timestamp}

---

## Strategy Assessment

- **Uncertainty Level**: {high|medium|low}
- **Decomposition Mode**: {progressive|direct}
- **Assessment Basis**: {factors summary}
- **Goal**: {extracted goal}
- **Constraints**: {extracted constraints}
- **Stakeholders**: {extracted stakeholders}

---

## Roadmap

### Progressive Mode
| Wave | Issue ID | Layer | Goal | Priority | Dependencies |
|------|----------|-------|------|----------|--------------|
| 1 | ISS-xxx | MVP | ... | 2 | - |
| 2 | ISS-yyy | Usable | ... | 3 | ISS-xxx |

### Direct Mode
| Wave | Issue ID | Title | Type | Dependencies |
|------|----------|-------|------|--------------|
| 1 | ISS-xxx | ... | infrastructure | - |
| 2 | ISS-yyy | ... | feature | ISS-xxx |

---

## Convergence Criteria

### ISS-xxx: {Issue Title}
- **Criteria**: [testable conditions]
- **Verification**: [executable steps/commands]
- **Definition of Done**: [business language, non-technical]

### ISS-yyy: {Issue Title}
...

---

## Risks

| Risk | Severity | Mitigation |
|------|----------|------------|
| ... | ... | ... |

---

## Iteration History

### Round 1 - {timestamp}
**User Feedback**: {feedback summary}
**Changes Made**: {adjustments}
**Status**: {approved|continue iteration}

---

## Codebase Context (Optional)

*Included when codebase exploration was performed*

- **Relevant Modules**: [...]
- **Existing Patterns**: [...]
- **Integration Points**: [...]

Issues JSONL Specification

Location & Format

Path: .workflow/issues/issues.jsonl
Format: JSONL (one complete JSON object per line)
Encoding: UTF-8
Mode: Append-only (new issues appended to end)

Record Schema

{
  "id": "ISS-YYYYMMDD-NNN",
  "title": "[LayerName] goal or [TaskType] title",
  "status": "pending",
  "priority": 2,
  "context": "Markdown with goal, scope, convergence, verification, DoD",
  "source": "text",
  "tags": ["roadmap", "progressive|direct", "wave-N", "layer-name"],
  "extended_context": {
    "notes": {
      "session": "RMAP-{slug}-{date}",
      "strategy": "progressive|direct",
      "wave": 1,
      "depends_on_issues": []
    }
  },
  "lifecycle_requirements": {
    "test_strategy": "unit",
    "regression_scope": "affected",
    "acceptance_type": "automated",
    "commit_strategy": "per-issue"
  }
}

Query Interface

# By ID (detail view)
ccw issue list ISS-20260227-001

# List all with status filter
ccw issue list --status planned,queued
ccw issue list --brief  # JSON minimal output

# Queue operations (wave-based execution)
ccw issue queue list              # List all queues
ccw issue queue dag               # Get dependency graph (JSON)
ccw issue next --queue <queue-id> # Get next task

# Execute
ccw issue queue add <issue-id>    # Add to active queue
ccw issue done <item-id>          # Mark completed
Note: Issues are tagged with wave-N in tags[] field for filtering. Use --brief for programmatic parsing.

Implementation

Session Initialization

const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()

// Parse flags
const AUTO_YES = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const continueMode = $ARGUMENTS.includes('--continue') || $ARGUMENTS.includes('-c')
const modeMatch = $ARGUMENTS.match(/(?:--mode|-m)\s+(progressive|direct|auto)/)
const requestedMode = modeMatch ? modeMatch[1] : 'auto'

// Clean requirement text (remove flags)
const requirement = $ARGUMENTS
  .replace(/--yes|-y|--continue|-c|--mode\s+\w+|-m\s+\w+/g, '')
  .trim()

const slug = requirement.toLowerCase()
  .replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-')
  .substring(0, 40)
const dateStr = getUtc8ISOString().substring(0, 10)
const sessionId = `RMAP-${slug}-${dateStr}`
const sessionFolder = `.workflow/.roadmap/${sessionId}`

// Auto-detect continue mode
if (continueMode || file_exists(`${sessionFolder}/roadmap.md`)) {
  // Resume existing session
  const existingRoadmap = Read(`${sessionFolder}/roadmap.md`)
  // Extract current phase and continue from there
}

functions.exec_command(`mkdir -p ${sessionFolder}`)

// Initialize progress tracking (MANDATORY)
functions.update_plan([
  { id: "phase-1", title: "Phase 1: Requirement Understanding & Strategy", status: "in_progress" },
  { id: "phase-2", title: "Phase 2: Decomposition & Issue Creation", status: "pending" },
  { id: "phase-3", title: "Phase 3: Iterative Refinement", status: "pending" },
  { id: "phase-4", title: "Phase 4: Handoff", status: "pending" },
  { id: "next-step", title: "GATE: Post-Completion Next Step", status: "pending" }
])

Phase 1: Requirement Understanding & Strategy

Objective: Parse requirement, assess uncertainty, select decomposition strategy, initialize roadmap.md.

Steps:

  1. Parse Requirement

- Extract: goal, constraints, stakeholders, keywords

  1. Assess Uncertainty const uncertaintyFactors = {scope_clarity: 'low|medium|high', technical_risk: 'low|medium|high', dependency_unknown: 'low|medium|high', domain_familiarity: 'low|medium|high', requirement_stability: 'low|medium|high'} // Calculate recommendation const highCount = Object.values(uncertaintyFactors).filter(v => v === 'high').length const lowCount = Object.values(uncertaintyFactors).filter(v => v === 'low').length let recommendedMode if (highCount >= 3) recommendedMode = 'progressive' else if (lowCount >= 3) recommendedMode = 'direct' else recommendedMode = 'progressive' // default safer choice
  2. Strategy Selection (skip if -m specified or AUTO_YES) ` let selectedMode if (requestedMode!== 'auto') {selectedMode = requestedMode} else if (AUTO_YES) {selectedMode = recommendedMode} else {const answer = functions.request_user_input({questions: [{header: "Strategy", // max 12 chars question: Decomposition strategy: Uncertainty=${uncertaintyLevel}, Recommended=${recommendedMode}, multiSelect: false, options: [{label: recommendedMode === 'progressive'? "Progressive (Recommended)": "Progressive", description: "MVP → Usable → Refined → Optimized layers"}, {label: recommendedMode === 'direct'? "Direct (Recommended)": "Direct", description: "Topological task sequence"}]}]}) selectedMode = answer // parsed from user selection} `
  3. Initialize roadmap.md ` const roadmapContent = # Requirement Roadmap ``

Session: ${sessionId} Requirement: ${requirement} Strategy: ${selectedMode} Status: Planning Created: ${getUtc8ISOString()}


Strategy Assessment

  • Uncertainty Level: ${uncertaintyLevel}
  • Decomposition Mode: ${selectedMode}
  • Assessment Basis: ${factorsSummary}
  • Goal: ${extractedGoal}
  • Constraints: ${extractedConstraints}
  • Stakeholders: ${extractedStakeholders}

Roadmap

To be populated after Phase 2 decomposition

Convergence Criteria Details

To be populated after Phase 2 decomposition

Risks

To be populated after Phase 2 decomposition

Iteration History

To be populated during Phase 3 refinement

Codebase Context (Optional)

To be populated if codebase exploration was performed `

Write(${sessionFolder}/roadmap.md, roadmapContent)

**Success Criteria**:
- roadmap.md created with Strategy Assessment
- Strategy selected (progressive or direct)
- Uncertainty factors documented

---

### Phase 2: Decomposition & Issue Creation

**Objective**: Execute decomposition via `cli-roadmap-plan-agent`, create issues, update roadmap.md.

**Steps**:

1. **Optional Codebase Exploration** (if codebase detected)

// Update progress functions.update_plan([{ id: "phase-2", title: "Phase 2: Decomposition & Issue Creation", status: "in_progress" }])

const hasCodebase = functions.exec_command( test -f package.json && echo "nodejs" || test -f go.mod && echo "golang" || test -f Cargo.toml && echo "rust" || test -f pyproject.toml && echo "python" || test -d src && echo "generic" || echo "none" ).trim()

let codebaseContext = null

if (hasCodebase !== 'none') { const exploreAgentId = spawn_agent({ agent_type: "cli_explore_agent", message: `

TASK ASSIGNMENT

MANDATORY FIRST STEPS (Agent Execute)

  1. Read: .workflow/project-tech.json
  2. Read: .workflow/project-guidelines.json

Exploration Context

  • Requirement: ${requirement}
  • Strategy: ${selectedMode}
  • Project Type: ${hasCodebase}
  • Session: ${sessionFolder}

Exploration Focus

  • Identify modules/components related to the requirement
  • Find existing patterns that should be followed
  • Locate integration points for new functionality
  • Assess current architecture constraints

Output

Return findings as JSON with schema: { "project_type": "${hasCodebase}", "relevant_modules": [{name, path, relevance}], "existing_patterns": [{pattern, files, description}], "integration_points": [{location, description, risk}], "architecture_constraints": [string], "tech_stack": {languages, frameworks, tools} } ` })

const exploreResult = wait_agent({ targets: [exploreAgentId], timeout_ms: 120000 })

close_agent({ target: exploreAgentId })

if (exploreResult.status[exploreAgentId].completed) { codebaseContext = exploreResult.status[exploreAgentId].completed } }


1. **Execute Decomposition Agent** `` const decompositionAgentId = spawn_agent({agent_type: "cli_roadmap_plan_agent", message: ` ``

## TASK ASSIGNMENT

### MANDATORY FIRST STEPS (Agent Execute)

1. Read:.workflow/project-tech.json
2. Read:.workflow/project-guidelines.json

---

## Roadmap Decomposition Task

### Input Context

- **Requirement**: ${requirement}
- **Selected Mode**: ${selectedMode}
- **Session ID**: ${sessionId}
- **Session Folder**: ${sessionFolder}

### Strategy Assessment

${JSON.stringify(strategyAssessment, null, 2)}

### Codebase Context

${codebaseContext? JSON.stringify(codebaseContext, null, 2): 'No codebase detected - pure requirement decomposition'}

---

### Mode-Specific Requirements

${selectedMode === 'progressive'? `**Progressive Mode**:

- 2-4 layers from MVP to full implementation
- Each layer: id (L0-L3), name, goal, scope, excludes, convergence, risks, effort, depends_on
- L0 (MVP) must be a self-contained closed loop with no dependencies
- Scope: each feature belongs to exactly ONE layer (no overlap)
- Layer names: MVP / Usable / Refined / Optimized`:

`**Direct Mode**:

- Topologically-sorted task sequence
- Each task: id (T1-Tn), title, type, scope, inputs, outputs, convergence, depends_on, parallel_group
- Inputs must come from preceding task outputs or existing resources
- Tasks in same parallel_group must be truly independent`}

---

### Convergence Quality Requirements

- criteria[]: MUST be testable (can write assertions or manual verification steps)
- verification: MUST be executable (command, script, or explicit steps)
- definition_of_done: MUST use business language (non-technical person can judge)

---

### Expected Output

1. **Update ${sessionFolder}/roadmap.md** with Roadmap table + Convergence sections
2. **Create issues via ccw issue create** - append to.workflow/issues/issues.jsonl

### Issue Format (for ccw issue create)

- id: ISS-YYYYMMDD-NNN (auto-generated)
- title: [LayerName] goal or [TaskType] title
- context: Markdown with goal, scope, convergence criteria, verification, DoD
- priority: small→4, medium→3, large→2
- tags: ["roadmap", mode, wave-N, layer-name]
- extended_context.notes: {session, strategy, wave, depends_on_issues}

### Execution Steps

1. Analyze requirement and build decomposition context
2. Execute decomposition (internal reasoning)
3. Validate records, check convergence quality
4. For each decomposed item:
  - Run: ccw issue create --title "..." --context "..." --tags "..." --priority N
  - Record returned Issue ID
5. Update roadmap.md with Issue ID references
6. Return brief completion summary with Issue IDs `}) const decompositionResult = wait_agent({targets: [decompositionAgentId], timeout_ms: 300000 // 5 minutes for complex decomposition}) close_agent({target: decompositionAgentId}) if (!decompositionResult.status[decompositionAgentId].completed) {throw new Error('Decomposition agent failed to complete')} const issueIds = decompositionResult.status[decompositionAgentId].completed.issueIds || [] ``

**Success Criteria**:

- Issues created in `.workflow/issues/issues.jsonl`
- roadmap.md updated with Issue references
- No circular dependencies
- Convergence criteria testable

---

### Phase 3: Iterative Refinement

**Objective**: Multi-round user feedback to refine roadmap.

**Cumulative Context Rule**: Each round's presentation MUST include ALL prior feedback and changes. Never present in isolation — always show cumulative state.

**Decision Recording**: Every user feedback choice and resulting change MUST be recorded in Iteration History with Decision Record format:
Decision: [Description] - Context: [What triggered this] - Options: [What was considered] - Chosen: [Selected] — Reason: [Why] - Impact: [What changed in roadmap]

**Steps**:

1. **Display Current Roadmap**
  - Read and display Roadmap table + key Convergence criteria
  - Show issue count and wave breakdown
2. **Feedback Loop** (skip if AUTO_YES) `` // Update progress functions.update_plan([{id: "phase-3", title: "Phase 3: Iterative Refinement", status: "in_progress"}]) let round = 0 let approved = false while (!approved && round < 5) {round++ // Dynamic options — include research if not yet done const baseOptions = [{label: "Approve", description: "Proceed to handoff"}, {label: "Adjust Scope", description: "Modify issue scopes"}, {label: "Refine Criteria", description: "Improve convergence criteria/verification"}] // Add research option if architecture decisions need external validation if (!researchDone) {baseOptions.push({label: "Research", description: "Search for architecture patterns and best practices"})} else {baseOptions.push({label: "Re-decompose", description: "Change strategy/layering"})} const feedback = functions.request_user_input({questions: [{header: "Validate", // max 12 chars question: `Roadmap round ${round}: ${issueIds.length} issues across ${waveCount} waves. Your decision:`, multiSelect: false, options: baseOptions}]}) if (feedback === 'Approve') {approved = true} else if (feedback === 'Research') {// Execute web.run for architecture patterns and best practices const researchQueries = generateResearchQueries(requirement, selectedMode) researchQueries.forEach(query => {const results = web.run({search_query: query}) // Extract: architecture patterns, best practices, risk mitigations}) researchDone = true // Record research findings in roadmap.md Iteration History} else {// For Adjust Scope, Refine Criteria, Re-decompose: // Collect details via functions.request_user_input or free text // CONSTRAINT: All modifications ONLY touch roadmap.md and issues.jsonl // NEVER modify source code or project files during interactive rounds // Record decision in Iteration History using Decision Record format} // Update Iteration History in roadmap.md (Record-Before-Continue) const iterationEntry = ` ``

### Round ${round} - ${getUtc8ISOString()}

**User Feedback**: ${feedback} **Changes Made**: ${changesMade} **Decision**: ${decisionRecord} **Status**: ${approved? 'approved': 'continue iteration'} ` // Append to Iteration History section in roadmap.md}
  1. Finalize Iteration History
// Update final status in roadmap.md
Edit({
  path: `${sessionFolder}/roadmap.md`,
  old_string: "**Status**: Planning",
  new_string: "**Status**: Ready"
})

Success Criteria:

  • User approved OR max rounds reached
  • All changes recorded in Iteration History
  • roadmap.md reflects final state

Phase 4: Handoff

Objective: Present final roadmap, execute MANDATORY terminal gate for next step selection.

Steps:

  1. Display Summary ## Roadmap Complete - **Session**: RMAP-{slug}-{date} - **Strategy**: {progressive|direct} - **Issues Created**: {count} across {waves} waves - **Roadmap**:.workflow/.roadmap/RMAP-{slug}-{date}/roadmap.md | Wave | Issue Count | Layer/Type | |------|-------------|------------| | 1 | 2 | MVP / infrastructure | | 2 | 3 | Usable / feature |
  2. MANDATORY Terminal Gate (CRITICAL — MUST execute, workflow MUST NOT end without this) ` // Update progress functions.update_plan([{id: "phase-4", title: "Phase 4: Handoff", status: "completed"}, {id: "next-step", title: "GATE: Post-Completion Next Step", status: "in_progress"}]) const nextStep = functions.request_user_input({questions: [{header: "Next Step", // max 12 chars question: ${issueIds.length} issues ready in roadmap. What would you like to do next?, multiSelect: false, options: [{label: "Execute Plan", description: "Hand off to execution pipeline (csv-wave-pipeline)"}, {label: "View Issues", description: "Display issue details before deciding"}, {label: "Done", description: "Planning complete, all artifacts saved"}]}]}) // Handle next step if (nextStep === "Execute Plan") {// Display execution command for user to run manually // "Run: $csv-wave-pipeline '${requirement}'" or "/issue:execute" // This skill is planning-only — NEVER auto-launch execution} else if (nextStep === "View Issues") {functions.exec_command(ccw issue list --session ${sessionId}) // After viewing, show execution commands} // "Done" → end workflow // Mark terminal gate complete functions.update_plan([{id: "next-step", title: "GATE: Post-Completion Next Step", status: "completed"}]) `

Success Criteria:

  • User selection executed
  • Session complete
  • All artifacts accessible

Error Handling

ErrorResolution
cli-explore-agent failsSkip code exploration, proceed with pure requirement decomposition
cli-roadmap-plan-agent failsRetry once, fallback to manual decomposition prompt
No codebaseNormal flow, skip exploration step
Web research failsContinue without external findings, rely on inline analysis
Research conflicts with planPresent as competing evidence, let user decide direction
Circular dependency detectedPrompt user, re-decompose
User timeout in feedback loopSave roadmap.md, show --continue command
Max rounds reachedForce proceed with current roadmap
Session folder conflictAppend timestamp suffix

Core Rules

  1. Start Immediately: First action is session initialization, then Phase 1 execution
  2. Single Source: All context embedded in roadmap.md, no separate JSON files
  3. Iterate on Roadmap: Use feedback rounds to refine, not recreate
  4. Testable Convergence: criteria = assertions, DoD = business language
  5. Explicit Lifecycle: Always close_agent after wait completes to free resources
  6. Planning-Only Skill: This skill ONLY produces roadmap and issues. It NEVER executes code, creates source files, or runs implementation. All code changes happen via separate execution skills after user manually triggers them
  7. Plan-Only Modifications: Interactive feedback (Phase 3) MUST only update roadmap.md and issues.jsonl. NEVER modify source code, configuration files, or any project files during any phase. Code changes happen only after handoff when user manually runs $csv-wave-pipeline or other execution skills
  8. MANDATORY CONFIRMATION GATE: After Phase 2 decomposition completes, you MUST present the roadmap to the user and wait for confirmation (Phase 3) before proceeding to handoff. NEVER skip Phase 3 user validation

Best Practices

  1. Clear Requirements: Detailed description → better decomposition
  2. Iterate on Roadmap: Use feedback rounds to refine convergence criteria
  3. Testable Convergence: criteria = assertions, DoD = business language
  4. Use Continue Mode: Resume to iterate on existing roadmap
  5. Wave Execution: Start with wave-1 (MVP) to validate before full execution

Usage Recommendations

When to Use Roadmap vs Other Skills:

ScenarioRecommended Skill
Strategic planning, need issue tracking$roadmap-with-file
Quick task breakdown, immediate execution$lite-plan
Collaborative multi-agent planning$collaborative-plan-with-file
Full specification documents$spec-generator
Code implementation from existing plan$workflow-lite-plan

Now plan roadmap for: $ARGUMENTS

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

36.33%
按下载量换算104

Claude

26.78%
按下载量换算76

Cursor

19.69%
按下载量换算56

Gemini CLI

9.8%
按下载量换算28

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/catlog22/claude-code-workflow --skill roadmap-with-file 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

继续浏览同类 Skills