claude-engineering-plugin/plugins/compound-engineering/skills/ce-plan/SKILL.md

name, description, argument-hint

name	description	argument-hint
ce:plan	Transform feature descriptions into well-structured project plans following conventions	[feature description, bug report, or improvement idea]

Create a plan for a new feature or bug fix

Introduction

Note: The current year is 2026. Use this when dating plans and searching for recent documentation.

Transform feature descriptions, bug reports, or improvement ideas into well-structured markdown files issues that follow project conventions and best practices. This command provides flexible detail levels to match your needs.

Feature Description

<feature_description> #$ARGUMENTS </feature_description>

If the feature description above is empty, ask the user: "What would you like to plan? Please describe the feature, bug fix, or improvement you have in mind."

Do not proceed until you have a clear feature description from the user.

0. Idea Refinement

Check for requirements document first:

Before asking questions, look for recent requirements documents in docs/brainstorms/ that match this feature:

ls -la docs/brainstorms/*-requirements.md 2>/dev/null | head -10

Relevance criteria: A requirements document is relevant if:

• The topic (from filename or YAML frontmatter) semantically matches the feature description
• Created within the last 14 days
• If multiple candidates match, use the most recent one

If a relevant requirements document exists:

1. Read the source document thoroughly — every section matters
2. Announce: "Found source document from [date]: [topic]. Using as foundation for planning."
3. Extract and carry forward ALL of the following into the plan:
   • Key decisions and their rationale
   • Chosen approach and why alternatives were rejected
   • Problem framing, constraints, and requirements captured during brainstorming
   • Outstanding questions, preserving whether they block planning or are intentionally deferred
   • Success criteria and scope boundaries
   • Dependencies and assumptions, plus any high-level technical direction only when the origin document is inherently technical
4. Skip the idea refinement questions below — the source document already answered WHAT to build
5. Use source document content as the primary input to research and planning phases
6. Critical: The source document is the origin document. Throughout the plan, reference specific decisions with (see origin: <source-path>) when carrying forward conclusions. Do not paraphrase decisions in a way that loses their original context — link back to the source.
7. Do not omit source content — if the source document discussed it, the plan must address it (even if briefly). Scan each section before finalizing the plan to verify nothing was dropped.
8. If Resolve Before Planning contains any items, stop. Do not proceed with planning. Tell the user planning is blocked by unanswered brainstorm questions and direct them to resume /ce:brainstorm or answer those questions first.

If multiple source documents could match: Use AskUserQuestion tool to ask which source document to use, or whether to proceed without one.

If no requirements document is found (or not relevant), run idea refinement:

Refine the idea through collaborative dialogue using the AskUserQuestion tool:

• Ask questions one at a time to understand the idea fully
• Prefer multiple choice questions when natural options exist
• Focus on understanding: purpose, constraints and success criteria
• Continue until the idea is clear OR user says "proceed"

Gather signals for research decision. During refinement, note:

• User's familiarity: Do they know the codebase patterns? Are they pointing to examples?
• User's intent: Speed vs thoroughness? Exploration vs execution?
• Topic risk: Security, payments, external APIs warrant more caution
• Uncertainty level: Is the approach clear or open-ended?

Skip option: If the feature description is already detailed, offer: "Your description is clear. Should I proceed with research, or would you like to refine it further?"

Main Tasks

1. Local Research (Always Runs - Parallel)

First, I need to understand the project's conventions, existing patterns, and any documented learnings. This is fast and local - it informs whether external research is needed.

Run these agents in parallel to gather local context:

• Task compound-engineering:research:repo-research-analyst(feature_description)
• Task compound-engineering:research:learnings-researcher(feature_description)

What to look for:

• Repo research: existing patterns, CLAUDE.md guidance, technology familiarity, pattern consistency
• Learnings: documented solutions in docs/solutions/ that might apply (gotchas, patterns, lessons learned)

These findings inform the next step.

1.5. Research Decision

Based on signals from Step 0 and findings from Step 1, decide on external research.

High-risk topics → always research. Security, payments, external APIs, data privacy. The cost of missing something is too high. This takes precedence over speed signals.

Strong local context → skip external research. Codebase has good patterns, CLAUDE.md has guidance, user knows what they want. External research adds little value.

Uncertainty or unfamiliar territory → research. User is exploring, codebase has no examples, new technology. External perspective is valuable.

Announce the decision and proceed. Brief explanation, then continue. User can redirect if needed.

Examples:

• "Your codebase has solid patterns for this. Proceeding without external research."
• "This involves payment processing, so I'll research current best practices first."

1.5b. External Research (Conditional)

Only run if Step 1.5 indicates external research is valuable.

Run these agents in parallel:

• Task compound-engineering:research:best-practices-researcher(feature_description)
• Task compound-engineering:research:framework-docs-researcher(feature_description)

1.6. Consolidate Research

After all research steps complete, consolidate findings:

• Document relevant file paths from repo research (e.g., app/services/example_service.rb:42)
• Include relevant institutional learnings from docs/solutions/ (key insights, gotchas to avoid)
• Note external documentation URLs and best practices (if external research was done)
• List related issues or PRs discovered
• Capture CLAUDE.md conventions

Optional validation: Briefly summarize findings and ask if anything looks off or missing before proceeding to planning.

2. Issue Planning & Structure

Think like a product manager - what would make this issue clear and actionable? Consider multiple perspectives

Title & Categorization:

• Draft clear, searchable issue title using conventional format (e.g., feat: Add user authentication, fix: Cart total calculation)
• Determine issue type: enhancement, bug, refactor
• Convert title to filename: add today's date prefix, determine daily sequence number, strip prefix colon, kebab-case, add -plan suffix
  • Scan docs/plans/ for files matching today's date pattern YYYY-MM-DD-\d{3}-
  • Find the highest existing sequence number for today
  • Increment by 1, zero-padded to 3 digits (001, 002, etc.)
  • Example: feat: Add User Authentication → 2026-01-21-001-feat-add-user-authentication-plan.md
  • Keep it descriptive (3-5 words after prefix) so plans are findable by context

Stakeholder Analysis:

• Identify who will be affected by this issue (end users, developers, operations)
• Consider implementation complexity and required expertise

Content Planning:

• Choose appropriate detail level based on issue complexity and audience
• List all necessary sections for the chosen template
• Gather supporting materials (error logs, screenshots, design mockups)
• Prepare code examples or reproduction steps if applicable, name the mock filenames in the lists

3. SpecFlow Analysis

After planning the issue structure, run SpecFlow Analyzer to validate and refine the feature specification:

• Task compound-engineering:workflow:spec-flow-analyzer(feature_description, research_findings)

SpecFlow Analyzer Output:

• Review SpecFlow analysis results
• Incorporate any identified gaps or edge cases into the issue
• Update acceptance criteria based on SpecFlow findings

4. Choose Implementation Detail Level

Select how comprehensive you want the issue to be, simpler is mostly better.

📄 MINIMAL (Quick Issue)

Best for: Simple bugs, small improvements, clear features

Includes:

• Problem statement or feature description
• Basic acceptance criteria
• Essential context only

Structure:

---
title: [Issue Title]
type: [feat|fix|refactor]
status: active
date: YYYY-MM-DD
origin: docs/brainstorms/YYYY-MM-DD-<topic>-requirements.md  # if originated from a requirements doc, otherwise omit
---

# [Issue Title]

[Brief problem/feature description]

## Acceptance Criteria

- [ ] Core requirement 1
- [ ] Core requirement 2

## Context

[Any critical information]

## MVP

### test.rb

```ruby
class Test
  def initialize
    @name = "test"
  end
end
```

## Sources

- **Origin document:** [docs/brainstorms/YYYY-MM-DD-<topic>-requirements.md](path) — include if plan originated from an upstream requirements doc
- Related issue: #[issue_number]
- Documentation: [relevant_docs_url]

📋 MORE (Standard Issue)

Best for: Most features, complex bugs, team collaboration

Includes everything from MINIMAL plus:

• Detailed background and motivation
• Technical considerations
• Success metrics
• Dependencies and risks
• Basic implementation suggestions

Structure:

---
title: [Issue Title]
type: [feat|fix|refactor]
status: active
date: YYYY-MM-DD
origin: docs/brainstorms/YYYY-MM-DD-<topic>-requirements.md  # if originated from a requirements doc, otherwise omit
---

# [Issue Title]

## Overview

[Comprehensive description]

## Problem Statement / Motivation

[Why this matters]

## Proposed Solution

[High-level approach]

## Technical Considerations

- Architecture impacts
- Performance implications
- Security considerations

## System-Wide Impact

- **Interaction graph**: [What callbacks/middleware/observers fire when this runs?]
- **Error propagation**: [How do errors flow across layers? Do retry strategies align?]
- **State lifecycle risks**: [Can partial failure leave orphaned/inconsistent state?]
- **API surface parity**: [What other interfaces expose similar functionality and need the same change?]
- **Integration test scenarios**: [Cross-layer scenarios that unit tests won't catch]

## Acceptance Criteria

- [ ] Detailed requirement 1
- [ ] Detailed requirement 2
- [ ] Testing requirements

## Success Metrics

[How we measure success]

## Dependencies & Risks

[What could block or complicate this]

## Sources & References

- **Origin document:** [docs/brainstorms/YYYY-MM-DD-<topic>-requirements.md](path) — include if plan originated from an upstream requirements doc
- Similar implementations: [file_path:line_number]
- Best practices: [documentation_url]
- Related PRs: #[pr_number]

📚 A LOT (Comprehensive Issue)

Best for: Major features, architectural changes, complex integrations

Includes everything from MORE plus:

• Detailed implementation plan with phases
• Alternative approaches considered
• Extensive technical specifications
• Resource requirements and timeline
• Future considerations and extensibility
• Risk mitigation strategies
• Documentation requirements

Structure:

---
title: [Issue Title]
type: [feat|fix|refactor]
status: active
date: YYYY-MM-DD
origin: docs/brainstorms/YYYY-MM-DD-<topic>-requirements.md  # if originated from a requirements doc, otherwise omit
---

# [Issue Title]

## Overview

[Executive summary]

## Problem Statement

[Detailed problem analysis]

## Proposed Solution

[Comprehensive solution design]

## Technical Approach

### Architecture

[Detailed technical design]

### Implementation Phases

#### Phase 1: [Foundation]

- Tasks and deliverables
- Success criteria
- Estimated effort

#### Phase 2: [Core Implementation]

- Tasks and deliverables
- Success criteria
- Estimated effort

#### Phase 3: [Polish & Optimization]

- Tasks and deliverables
- Success criteria
- Estimated effort

## Alternative Approaches Considered

[Other solutions evaluated and why rejected]

## System-Wide Impact

### Interaction Graph

[Map the chain reaction: what callbacks, middleware, observers, and event handlers fire when this code runs? Trace at least two levels deep. Document: "Action X triggers Y, which calls Z, which persists W."]

### Error & Failure Propagation

[Trace errors from lowest layer up. List specific error classes and where they're handled. Identify retry conflicts, unhandled error types, and silent failure swallowing.]

### State Lifecycle Risks

[Walk through each step that persists state. Can partial failure orphan rows, duplicate records, or leave caches stale? Document cleanup mechanisms or their absence.]

### API Surface Parity

[List all interfaces (classes, DSLs, endpoints) that expose equivalent functionality. Note which need updating and which share the code path.]

### Integration Test Scenarios

[3-5 cross-layer test scenarios that unit tests with mocks would never catch. Include expected behavior for each.]

## Acceptance Criteria

### Functional Requirements

- [ ] Detailed functional criteria

### Non-Functional Requirements

- [ ] Performance targets
- [ ] Security requirements
- [ ] Accessibility standards

### Quality Gates

- [ ] Test coverage requirements
- [ ] Documentation completeness
- [ ] Code review approval

## Success Metrics

[Detailed KPIs and measurement methods]

## Dependencies & Prerequisites

[Detailed dependency analysis]

## Risk Analysis & Mitigation

[Comprehensive risk assessment]

## Resource Requirements

[Team, time, infrastructure needs]

## Future Considerations

[Extensibility and long-term vision]

## Documentation Plan

[What docs need updating]

## Sources & References

### Origin

- **Origin document:** [docs/brainstorms/YYYY-MM-DD-<topic>-requirements.md](path) — include if plan originated from an upstream requirements doc. Key decisions carried forward: [list 2-3 major decisions from the origin]

### Internal References

- Architecture decisions: [file_path:line_number]
- Similar features: [file_path:line_number]
- Configuration: [file_path:line_number]

### External References

- Framework documentation: [url]
- Best practices guide: [url]
- Industry standards: [url]

### Related Work

- Previous PRs: #[pr_numbers]
- Related issues: #[issue_numbers]
- Design documents: [links]

5. Issue Creation & Formatting

Apply best practices for clarity and actionability, making the issue easy to scan and understand

Content Formatting:

• Use clear, descriptive headings with proper hierarchy (##, ###)
• Include code examples in triple backticks with language syntax highlighting
• Add screenshots/mockups if UI-related (drag & drop or use image hosting)
• Use task lists (- [ ]) for trackable items that can be checked off
• Add collapsible sections for lengthy logs or optional details using <details> tags
• Apply appropriate emoji for visual scanning (🐛 bug, ✨ feature, 📚 docs, ♻️ refactor)

Cross-Referencing:

• Link to related issues/PRs using #number format
• Reference specific commits with SHA hashes when relevant
• Link to code using GitHub's permalink feature (press 'y' for permanent link)
• Mention relevant team members with @username if needed
• Add links to external resources with descriptive text

Code & Examples:

# Good example with syntax highlighting and line references


```ruby
# app/services/user_service.rb:42
def process_user(user)

# Implementation here

end
```

# Collapsible error logs

<details>
<summary>Full error stacktrace</summary>

`Error details here...`

</details>

AI-Era Considerations:

• Account for accelerated development with AI pair programming
• Include prompts or instructions that worked well during research
• Note which AI tools were used for initial exploration (Claude, Copilot, etc.)
• Emphasize comprehensive testing given rapid implementation
• Document any AI-generated code that needs human review

6. Final Review & Submission

Origin document cross-check (if plan originated from a requirements doc):

Before finalizing, re-read the origin document and verify:

• Every key decision from the origin document is reflected in the plan
• The chosen approach matches what was decided in the origin document
• Constraints and requirements from the origin document are captured in acceptance criteria
• Open questions from the origin document are either resolved or flagged
• The origin: frontmatter field points to the correct source file
• The Sources section includes the origin document with a summary of carried-forward decisions

Pre-submission Checklist:

• Title is searchable and descriptive
• Labels accurately categorize the issue
• All template sections are complete
• Links and references are working
• Acceptance criteria are measurable
• Add names of files in pseudo code examples and todo lists
• Add an ERD mermaid diagram if applicable for new model changes

Write Plan File

REQUIRED: Write the plan file to disk before presenting any options.

mkdir -p docs/plans/
# Determine daily sequence number
today=$(date +%Y-%m-%d)
last_seq=$(ls docs/plans/${today}-*-plan.md 2>/dev/null | grep -oP "${today}-\K\d{3}" | sort -n | tail -1)
next_seq=$(printf "%03d" $(( ${last_seq:-0} + 1 )))

Use the Write tool to save the complete plan to docs/plans/YYYY-MM-DD-NNN-<type>-<descriptive-name>-plan.md (where NNN is $next_seq from the bash command above). This step is mandatory and cannot be skipped — even when running as part of LFG/SLFG or other automated pipelines.

Confirm: "Plan written to docs/plans/[filename]"

Pipeline mode: If invoked from an automated workflow (LFG, SLFG, or any disable-model-invocation context), skip all AskUserQuestion calls. Make decisions automatically and proceed to writing the plan without interactive prompts.

Output Format

Filename: Use the date, daily sequence number, and kebab-case filename from Step 2 Title & Categorization.

docs/plans/YYYY-MM-DD-NNN-<type>-<descriptive-name>-plan.md

Examples:

• ✅ docs/plans/2026-01-15-001-feat-user-authentication-flow-plan.md
• ✅ docs/plans/2026-02-03-001-fix-checkout-race-condition-plan.md
• ✅ docs/plans/2026-03-10-002-refactor-api-client-extraction-plan.md
• ❌ docs/plans/2026-01-15-feat-thing-plan.md (missing sequence number, not descriptive)
• ❌ docs/plans/2026-01-15-001-feat-new-feature-plan.md (too vague - what feature?)
• ❌ docs/plans/2026-01-15-001-feat: user auth-plan.md (invalid characters - colon and space)
• ❌ docs/plans/feat-user-auth-plan.md (missing date prefix and sequence number)

Post-Generation Options

After writing the plan file, use the AskUserQuestion tool to present these options:

Question: "Plan ready at docs/plans/YYYY-MM-DD-NNN-<type>-<name>-plan.md. What would you like to do next?"

Options:

1. Open plan in editor - Open the plan file for review
2. Run /deepen-plan - Enhance each section with parallel research agents (best practices, performance, UI)
3. Review and refine - Improve the document through structured self-review
4. Share to Proof - Upload to Proof for collaborative review and sharing
5. Start /ce:work - Begin implementing this plan locally
6. Start /ce:work on remote - Begin implementing in Claude Code on the web (use & to run in background)
7. Create Issue - Create issue in project tracker (GitHub/Linear)

Based on selection:

• Open plan in editor → Run open docs/plans/<plan_filename>.md to open the file in the user's default editor
• /deepen-plan → Call the /deepen-plan command with the plan file path to enhance with research
• Review and refine → Load document-review skill.
• Share to Proof → Upload the plan to Proof:

  CONTENT=$(cat docs/plans/<plan_filename>.md)
  TITLE="Plan: <plan title from frontmatter>"
  RESPONSE=$(curl -s -X POST https://www.proofeditor.ai/share/markdown \
    -H "Content-Type: application/json" \
    -d "$(jq -n --arg title "$TITLE" --arg markdown "$CONTENT" --arg by "ai:compound" '{title: $title, markdown: $markdown, by: $by}')")
  PROOF_URL=$(echo "$RESPONSE" | jq -r '.tokenUrl')
  

  Display: View & collaborate in Proof: <PROOF_URL> — skip silently if curl fails. Then return to options.
• /ce:work → Call the /ce:work command with the plan file path
• /ce:work on remote → Run /ce:work docs/plans/<plan_filename>.md & to start work in background for Claude Code web
• Create Issue → See "Issue Creation" section below
• Other (automatically provided) → Accept free text for rework or specific changes

Note: If running /ce:plan with ultrathink enabled, automatically run /deepen-plan after plan creation for maximum depth and grounding.

Loop back to options after Simplify or Other changes until user selects /ce:work or another action.

Issue Creation

When user selects "Create Issue", detect their project tracker from CLAUDE.md:

1. Check for tracker preference in user's CLAUDE.md (global or project):

   • Look for project_tracker: github or project_tracker: linear
   • Or look for mentions of "GitHub Issues" or "Linear" in their workflow section

2. If GitHub:

   Use the title and type from Step 2 (already in context - no need to re-read the file):

   gh issue create --title "<type>: <title>" --body-file <plan_path>
   

3. If Linear:

   linear issue create --title "<title>" --description "$(cat <plan_path>)"
   

4. If no tracker configured: Ask user: "Which project tracker do you use? (GitHub/Linear/Other)"

   • Suggest adding project_tracker: github or project_tracker: linear to their CLAUDE.md

5. After creation:

   • Display the issue URL
   • Ask if they want to proceed to /ce:work

NEVER CODE! Just research and write the plan.