Workflow Plan

Transform user request into structured, executable plan with TDD task breakdown. Also supports listing and switching between multiple plans.

Your Task

Route by argument

If --list: Jump to List Plans. If --switch <track_id>: Jump to Switch Plan. Otherwise: Continue with Create Plan.

---

Create Plan

1. Ensure .mycelium/ exists - If the .mycelium/ directory does not exist, create the minimum bootstrap structure:

   .mycelium/
   └── state.json
   

   Initialize state.json per the session state docs. Also add .mycelium/ to .gitignore if not already present.

2. Update session state - Write invocation_mode: "single" to state.json

3. Parse input:

   • If user provided task description: Use it
   • If empty: Ask user for task description

4. Provide context:

   • Read state.json
   • Read .mycelium/context/*.md if exists (product, tech-stack, workflow)
   • Read CLAUDE.md if exists

5. Load cached capabilities:

   • Read discovered_capabilities from state.json
   • If missing: error and suggest running /mycelium-context-load first
   • Available capabilities cached from Phase 0 (Context Loading):
     • Skills (with fully-qualified names like mycelium:mycelium-work)
     • Agents (built-in and plugin agents)
     • MCP tools (if configured)

6. Analyze the task:

   • Clarify requirements if ambiguous (use AskUserQuestion)
   • Search codebase for relevant files (grep, glob)
   • Break down into tasks with dependencies

7. Create detailed plan following the guidance below:

   • Transform high-level requirements into actionable, parallel-executable tasks
   • Apply proper task decomposition and dependency management
   • Assign capabilities to each task (agent, skills, model)
   • Verify assignments against cached capabilities
   • Create plans that enable compound engineering where each task builds knowledge

8. Save plan to .mycelium/plans/YYYY-MM-DD-{track-id}.md using the plan template. The frontmatter must conform to the plan frontmatter schema.

9. Register plan in session state:

   • Read state.json
   • If a plan in plans[] has status: "in_progress", set it to "paused" (both in plans[] AND in that plan file's YAML frontmatter status field)
   • Append new plan entry to plans[]:

     {
       "track_id": "{track_id}",
       "plan_file": "YYYY-MM-DD-{track-id}.md",
       "status": "in_progress",
       "created": "{timestamp}",
       "total_tasks": {count},
       "completed_tasks": 0
     }
     

   • Set current_track to the new plan's { "id": "{track_id}", "type": "{type}", "plan_file": "..." }

10. Hand off to next phase:

• Update current_phase: "implementation" in state.json
• If invocation_mode == "full": Invoke mycelium-work
• If invocation_mode == "single": Suggest /mycelium-work

---

List Plans

Display all plans from state.json plans[] (fall back to globbing .mycelium/plans/*.md and reading frontmatter if plans[] is missing or empty).

Output format:

Plans:
 * multi-plan_20260211  in_progress  2/7 tasks  (active)
   auth_20260210        paused       0/5 tasks
   bugfix_20260209      completed    3/3 tasks

• * marks the active plan (matches current_track.id)
• Exclude preview- prefixed files unless --all is passed
• Sort by created descending (newest first)

---

Switch Plan

Switch the active plan to <track_id>:

1. Read state.json
2. Find <track_id> in plans[]. If not found, check .mycelium/plans/ for a matching file and register it first. If still not found, error: "Plan <track_id> not found."
3. Set the current active plan (the one with status: "in_progress") to "paused" in both plans[] and its plan file frontmatter
4. Set the target plan to "in_progress" in both plans[] and its plan file frontmatter
5. Update current_track to point to the target plan
6. Show confirmation: "Switched to plan <track_id>"
7. Suggest /mycelium-work or /mycelium-continue to resume

---

Planning Guidance

This section provides comprehensive guidance for creating detailed implementation plans with proper task decomposition and dependency management.

Plan Structure

Every plan follows this template (stored in templates/plans/plan.md.template):

---
feature: "Feature Name"
created: YYYY-MM-DD
status: active
complexity: M
estimated_tasks: 5
parallel_capable: true
---

## Overview
[1-2 paragraph description of what's being built and why]

## Success Criteria
[Measurable outcomes that define "done"]

## Phase 1: {Phase Name}

### Task 1.1: {Task Title}
**Status:** [ ]
**Complexity:** T/S/M/L
**blockedBy:** []
**blocks:** [1.2, 2.1]
**agent:** general-purpose
**skills:** [tdd, verification]
**model:** sonnet

**Description:**
[What needs to be done]

**Acceptance Criteria:**
- [ ] Criterion 1
- [ ] Criterion 2

**Test Plan:**
[How to verify this works]

[More tasks...]

## Phase 2: {Phase Name}
[More phases...]

## Deviations Log
[Track changes from original plan]

## Final Checklist
- [ ] All tests passing
- [ ] Code review complete
- [ ] Documentation updated

Task Complexity Classification

Classify each task using multiple factors:

Size Indicators (T/S/M/L)

• T (Tiny): < 50 lines, single file, < 30 min
• S (Small): 50-200 lines, 1-2 files, 30-120 min
• M (Medium): 200-500 lines, 2-5 files, 2-8 hours
• L (Large): > 500 lines, 5+ files, > 8 hours (consider splitting)

Complexity Factors

Beyond lines of code, consider:

Integration Points:

• Count of external systems touched
• API boundaries crossed
• Database schemas modified
• Third-party services integrated

Domain Novelty:

• familiar: Well-understood domain
• partially_known: Some new concepts
• unknown: Unfamiliar territory requiring research

Test Complexity:

• unit: Simple unit tests sufficient
• integration: Requires integration tests
• e2e: Needs end-to-end testing
• manual: Requires manual testing

Reversibility:

• easily_reverted: Can roll back with git
• requires_migration: Database/data changes need migration
• irreversible: External effects (emails sent, APIs called)

Uncertainty:

• low: Clear path forward
• medium: Some unknowns
• high: Significant research needed

Combined Classification

Express as:

complexity: M
integration_points: 2
domain_novelty: partially_known
test_complexity: integration
reversibility: requires_migration
uncertainty: medium

Task Dependency Management

Define dependencies for parallel execution:

blockedBy Field

Lists tasks that must complete first:

blockedBy: [1.1, 1.2]  # Cannot start until 1.1 and 1.2 done
blockedBy: []          # Can start immediately

blocks Field

Lists tasks that depend on this one:

blocks: [2.1, 2.3]  # Tasks 2.1 and 2.3 wait for this
blocks: []          # Nothing depends on this

Dependency Rules

• Minimize dependencies to maximize parallelism
• Only declare true blocking dependencies
• Prefer loose coupling (shared interfaces over shared implementation)
• Group related tasks in same phase for context efficiency

Capability Assignment

For each task, specify execution details:

Agent Selection

agent: general-purpose      # Most tasks
agent: Explore             # Read-only research
agent: Plan                # Architecture planning
agent: Bash                # Git/command operations
agent: workflow:review     # Custom review agents

Skills Assignment

skills: [tdd, verification]              # Core workflow skills
skills: [mycelium-plan, mycelium-capture]     # Planning and learning
skills: [context, recovery]              # Context and error handling
skills: [custom-plugin:custom-skill]     # External plugin skills

Model Selection

model: haiku   # Fast, cheap - trivial tasks, reviews
model: sonnet  # Balanced - most implementation (DEFAULT)
model: opus    # Deep reasoning - architecture, complex problems

Selection Guidelines:

• haiku: Trivial tasks, code reviews, formatting, simple refactoring
• sonnet: Default for all implementation work, good balance
• opus: Architecture decisions, complex algorithms, critical security

Phased Organization

Organize tasks into logical phases:

Phase 1: Foundation

• Core data models
• Database schema
• Essential utilities
• Base abstractions

Phase 2: Implementation

• Feature implementation
• Business logic
• API endpoints
• UI components

Phase 3: Integration

• Third-party integrations
• Service connections
• External APIs
• System integration

Phase 4: Quality

• Performance optimization
• Security hardening
• Error handling
• Edge cases

Phase 5: Finalization

• Documentation
• Deployment scripts
• Monitoring setup
• User guides

Phase Rules:

• Tasks within phase can run in parallel (unless explicitly blocked)
• Later phases depend on earlier phases
• Each phase has clear entry/exit criteria

Estimation Best Practices

Avoid Time Estimates

Do NOT provide time estimates ("this will take 2 hours"). Focus on:

• Relative complexity (T/S/M/L)
• Uncertainty level (low/medium/high)
• Dependency relationships
• Actionable breakdowns

Uncertainty Quantification

Be explicit about uncertainty:

uncertainty: high
research_needed: "Need to investigate library X capabilities"
alternative_approaches: ["Approach A", "Approach B"]

Historical Calibration

After completing tasks, note:

estimated: M
actual: L
deviation_reason: "Underestimated integration complexity"

Use deviations to improve future estimates.

Task Breakdown Techniques

Top-Down Decomposition

1. Start with user story or feature
2. Identify major components
3. Break components into modules
4. Break modules into functions
5. Stop at testable units

Walking Skeleton

1. Identify end-to-end path
2. Create minimal implementation
3. Add breadth (more paths)
4. Add depth (more features)

Vertical Slicing

Create thin slices through all layers:

• Database → API → UI for one field
• Add more fields iteratively
• Each slice is independently deliverable

Horizontal Layering

Build one layer completely:

• All database models
• Then all API endpoints
• Then all UI components

Recommendation: Prefer vertical slicing for faster feedback.

Parallel Execution Planning

Design for maximum parallelism:

Independent Tasks

Tasks with no shared dependencies can run in parallel:

Task 1.1: User authentication API
  blockedBy: []

Task 1.2: Product catalog API
  blockedBy: []

# Can execute simultaneously in separate worktrees

Sequential Dependencies

Tasks with shared dependencies run sequentially:

Task 1.1: Database schema
  blockedBy: []

Task 1.2: Repository layer
  blockedBy: [1.1]  # Needs schema

Task 1.3: Service layer
  blockedBy: [1.2]  # Needs repositories

Shared Resources

Handle conflicts:

• Separate files: Can parallelize
• Same files: Must sequence
• Shared interfaces: Define interface first, then parallelize implementations

Success Criteria Definition

Make success measurable and objective:

Good Success Criteria

✅ "All API endpoints return < 200ms p95 latency" ✅ "Test coverage > 85% for new code" ✅ "Zero SQL injection vulnerabilities in security scan" ✅ "Documentation includes working examples for each endpoint"

Bad Success Criteria

❌ "API is fast enough" ❌ "Good test coverage" ❌ "Secure implementation" ❌ "Well documented"

Acceptance Criteria Per Task

Each task needs specific, testable criteria:

Acceptance Criteria:
- [ ] Function returns correct value for valid inputs
- [ ] Throws ValidationError for invalid inputs
- [ ] Test coverage >= 90% for this module
- [ ] No ESLint warnings
- [ ] Performance benchmark < 10ms for 1000 items

Capability Assignment Implementation

When creating plans, use cached capabilities to assign agent/skills/model to each task:

Step 1: Load Cached Capabilities

// Read from state.json (cached by Phase 0: Context Loading)
const state = read(".mycelium/state.json")
const capabilities = state.discovered_capabilities

if (!capabilities || !capabilities.skills) {
  error("❌ Capabilities not cached. Run /mycelium-context-load first.")
  return
}

// Available capabilities:
// - capabilities.skills: Array of {name, description, source, plugin}
// - capabilities.agents: Array of {name, description, source}
// - capabilities.mcp_tools: Array of {name, server, description}

Step 2: Assign to Each Task

For each task in the plan:

### Task 1.1: Setup auth module
**agent:** general-purpose      # Best-fit from cached agents
**skills:** [tdd, verification] # Relevant from cached skills
**model:** sonnet               # haiku/sonnet/opus based on complexity

Assignment Logic:

function assignCapabilities(task) {
  // 1. Agent Assignment
  // Default: general-purpose for most tasks
  // Explore: for research/read-only tasks
  // Bash: for git/command tasks
  task.agent = selectAgent(task.description, capabilities.agents)

  // 2. Skills Assignment
  // Always include tdd for implementation tasks
  // Add verification for validation tasks
  // Add relevant plugin skills based on task type
  task.skills = selectSkills(task.description, task.agent, capabilities.skills)

  // 3. Model Assignment
  // Haiku: trivial tasks (T complexity)
  // Sonnet: most tasks (S/M complexity) - DEFAULT
  // Opus: complex/critical tasks (L complexity, security, architecture)
  task.model = selectModel(task.complexity, task.description)
}

Step 3: Verify Assignments

// Validate all assignments exist in cached capabilities
for (task of tasks) {
  // Check agent exists
  if (!capabilities.agents.some(a => a.name === task.agent)) {
    error(`Agent not found: ${task.agent}`)
    // Fallback to general-purpose
    task.agent = "general-purpose"
  }

  // Check skills exist
  for (skill of task.skills) {
    if (!capabilities.skills.some(s => s.name === skill)) {
      error(`Skill not found: ${skill}`)
      // Remove invalid skill
      task.skills = task.skills.filter(s => s !== skill)
    }
  }

  // Model doesn't need validation (haiku/sonnet/opus are always available)
}

Important: Capabilities are discovered in Phase 0 (Context Loading) and cached in state.json. This phase LOADS and USES the cache, it does NOT discover capabilities.

Common Pitfalls

Too Large Tasks

❌ Problem: Tasks > 500 lines or > 8 hours ✅ Solution: Split into smaller, testable units

Vague Acceptance Criteria

❌ Problem: "Works correctly" ✅ Solution: "Returns 200 for valid request with JSON response matching schema"

Missing Dependencies

❌ Problem: Tasks blocked on unidentified dependencies ✅ Solution: Explicitly map all dependencies before starting

Over-Planning

❌ Problem: Planning every detail up front ✅ Solution: Plan current phase in detail, later phases at high level

Under-Specification

❌ Problem: "Build the API" ✅ Solution: Enumerate endpoints, methods, payloads, validations

Deviations and Adaptation

Plans change during implementation. Track deviations:

## Deviations Log

### YYYY-MM-DD: Changed Task 2.3 Approach
**Original:** Use library X for parsing
**New:** Implement custom parser
**Reason:** Library X doesn't handle edge case Y
**Impact:** +1 task, +2 hours

When to Deviate

Acceptable reasons:

• New information discovered
• Original approach blocked
• Better solution found
• Requirements changed

When to Replan

Major deviations require replanning:

• 50% tasks changed

• Core architecture changed
• Requirements significantly changed
• Timeline/resources changed

---

Quick Example

# Create a new plan
/mycelium-plan "Add user authentication"

# List all plans
/mycelium-plan --list

# Switch to a different plan
/mycelium-plan --switch auth_20260210

# Create another plan (previous one auto-pauses)
/mycelium-plan "Optimize database queries"

Important

• Plans are LIVING DOCUMENTS - updated in-place during execution
• All tasks follow TDD: tests before implementation
• Tasks have explicit dependencies (blockedBy/blocks)
• Default to parallel execution - minimize dependencies
• Creating a new plan auto-pauses the previous active plan - no plans are lost
• Backward compatible - works when plans[] doesn't exist (falls back to globbing .mycelium/plans/)

Summary

Key principles:

• Break work into testable, parallelizable units
• Express complexity with multiple factors
• Define clear dependencies
• Assign appropriate capabilities
• Create measurable success criteria
• Track deviations systematically
• Enable parallel execution by default

References

• .mycelium/ directory structure
• Session state docs
• Session state schema
• Plan template
• Plan frontmatter schema
• Enum definitions

Examples

Example 1: Feature Planning

User request: "plan user authentication"

Workflow:

1. Clarifies: Which auth method? → JWT
2. Breaks down: 8 tasks across 3 phases
3. Assigns: TDD to each task, proper dependencies
4. Saves: Plan to .mycelium/plans/2026-02-12-auth_20260212.md

Result: Structured plan ready for /mycelium-work

Example 2: List All Plans

User request: /mycelium-plan --list

Output:

Plans:
 * auth_20260212        in_progress  5/8 tasks   (active)
   bugfix_20260211      completed    3/3 tasks
   optimize_20260210    paused       2/7 tasks

Example 3: Switch Plans

User request: /mycelium-plan --switch optimize_20260210

Workflow:

1. Pauses current plan (auth_20260212)
2. Activates optimize_20260210
3. Updates current_track in state.json

Result: Now working on optimization plan, can resume auth later

Troubleshooting

Error: "Plan xyz not found" Cause: Invalid track_id provided to --switch Solution: Run /mycelium-plan --list to see available plans

Issue: "Task dependencies create cycle" Cause: blockedBy/blocks fields create circular dependency Solution: Review dependency graph, remove circular reference

Issue: "All tasks marked as blocked" Cause: Dependency chain not properly initialized Solution: Ensure at least one task has blockedBy: [] to start execution