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Workflow Planning Skill - Quick Reference

This skill enables structured, systematic development workflows. The assistant should apply these patterns when users need to break down complex projects, create implementation plans, or execute multi-step development tasks with clear checkpoints.

Inspired by : Obra Superpowers patterns for structured agent workflows.

Quick Reference

When to Use This Skill

The assistant should invoke this skill when a user requests:

• Break down a complex feature into steps
• Create an implementation plan
• Brainstorm approaches to a problem
• Execute a multi-step development task
• Track progress on a project
• Review and adjust mid-implementation

The Three-Phase Workflow

Phase 1: Brainstorm

Purpose : Explore the problem space and generate potential solutions.

/brainstorm [topic or problem]

OUTPUT:
1. Problem Understanding
   - What are we solving?
   - Who is affected?
   - What are the constraints?

2. Potential Approaches (3-5)
   - Approach A: [description, pros, cons]
   - Approach B: [description, pros, cons]
   - Approach C: [description, pros, cons]

3. Questions to Resolve
   - [List of unknowns needing clarification]

4. Recommended Approach
   - [Selected approach with justification]

Phase 2: Write Plan

Purpose : Create a detailed, actionable implementation plan.

/write-plan [feature or task]

OUTPUT:
## Implementation Plan: [Feature Name]

### Goal
[Single sentence describing the outcome]

### Success Criteria
- [ ] Criterion 1
- [ ] Criterion 2
- [ ] Criterion 3

### Steps (with estimates)

#### Step 1: [Name] (~Xh)
- What: [specific actions]
- Files: [files to modify/create]
- Dependencies: [what must exist first]
- Verification: [how to confirm done]

### Risks & Mitigations
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| Risk 1 | Medium | High | Plan B if... |

### Open Questions
- [Questions to resolve before starting]

Dependency Graph for Parallel Execution

When a plan will be executed with multiple subagents, each task must declare its dependencies explicitly. This enables the orchestrator to determine which tasks can run in parallel.

### Task Dependency Graph

| Task ID | Name | depends_on | Files | Agent Scope |
|---------|------|------------|-------|-------------|
| T1 | Setup database schema | [] | db/schema.sql | db-engineer |
| T2 | Create API routes | [T1] | src/routes/*.ts | backend-dev |
| T3 | Build auth middleware | [T1] | src/middleware/auth.ts | backend-dev |
| T4 | Frontend components | [] | src/components/*.tsx | frontend-dev |
| T5 | Integration tests | [T2, T3, T4] | tests/integration/*.test.ts | qa-agent |

Rules for dependency graphs:

• Every task declares depends_on: [] with explicit task IDs (empty array = no blockers).
• Tasks with no dependencies can start immediately (in parallel).
• No circular dependencies — the graph must be a DAG (directed acyclic graph).
• Each task should specify its file ownership to prevent parallel conflicts.

Parallel Execution Strategies

Swarm Waves (Accuracy-First) — Launch one subagent per unblocked task, in dependency-respecting waves. Wait for each wave to complete before launching the next. Best for production code and complex interdependencies.

Super Swarms (Speed-First) — Launch as many subagents as possible at once, regardless of dependencies. Best for prototypes and greenfield scaffolding. Expect merge conflicts.

See references/planning-templates.md for the full swarm-ready plan template.

Phase 3: Execute Plan

Purpose : Implement the plan systematically with checkpoints.

/execute-plan [plan reference]

EXECUTION PATTERN:
1. Load the plan
2. For each step:
   a. Announce: "Starting Step X: [name]"
   b. Execute actions
   c. Verify completion
   d. Report: "Step X complete. [brief summary]"
3. After completion:
   a. Run all verification criteria
   b. Report final status

Worktree-First Delivery

For production coding sessions, wrap /execute-plan with a delivery guardrail:

1. Create one isolated worktree per feature.
2. Execute only the approved plan scope in that worktree.
3. Run repo-defined quality gate(s) before PR (example: npm run test:analytics-gate).
4. Open one focused PR per feature branch.

./scripts/git/feature-workflow.sh start <feature-slug>

cd .worktrees/<feature-slug>
# implement plan steps
../../scripts/git/feature-workflow.sh gate
../../scripts/git/feature-workflow.sh pr --title "feat: <summary>"

Agent Session Management

Key rules from production experience (Feb 2026):

• One feature per session. Context exhaustion causes rework. A sprawling session (38 messages, 3+ continuations) produced multiple errors; a focused session (5 messages) shipped clean.
• Write a plan before touching 3+ files. Sessions with pre-written numbered plans had near-zero rework.
• Verify SDK types before executing plan steps. Documentation may describe APIs that no longer match actual TypeScript definitions.

See references/session-patterns.md for the full production evidence table and checkpoint protocol for long sessions.

Command Preflight Protocol

Before broad edits, tests, or reviews — run a 60-second preflight:

1. pwd / git branch --show-current / ls -la
2. test -e <path> to verify target paths before heavy commands
3. npx <tool> --help to validate flags before first use
4. Quote paths containing [], *, ?, or spaces

See references/operational-checklists.md for the full git/branch safety preflight, E2E/server preflight, shell safety gate, and SDK type verification.

Structured Patterns

Hypothesis-Driven Development

PATTERN: Test assumptions before committing

Before implementing:
1. State hypothesis: "If we [action], then [expected outcome]"
2. Define experiment: "To test this, we will [minimal test]"
3. Execute experiment
4. Evaluate: "Hypothesis confirmed/rejected because [evidence]"
5. Proceed or pivot based on result

Incremental Implementation

Build in verifiable increments: smallest testable unit → implement and verify → expand scope → verify at each expansion → integrate and verify whole.

See references/planning-templates.md for an authentication feature example with 5 increments.

Progress Tracking

PATTERN: Maintain visible progress

[X] Step 1: Create database schema
[X] Step 2: Implement API endpoints
[IN PROGRESS] Step 3: Add frontend form
[ ] Step 4: Write tests

Current: Step 3 of 4 (75% complete)
Blockers: None
Next: Complete form validation

Work in Progress (WIP) Limits

Limit concurrent work: individual (2-3 tasks), team stories (team size + 1), in-progress column (3-5 items), code review (2-3 PRs). If limits are never reached, lower them. If constantly blocked, investigate the bottleneck.

See references/planning-templates.md for the full WIP limits reference and setting guidelines.

Milestone Checkpointing and Scope Budgeting

For multi-step execution, constrain scope and checkpoint progress at milestone boundaries.

• Define explicit session scope at start: 1-2 deliverables only.
• If a new request expands beyond scope, create a follow-up milestone.

Milestone Checkpoint Contract

At each milestone, record:

• completed outputs (files/features/tests)
• verification results (commands + pass/fail)
• unresolved blockers
• next bounded action

Stop Conditions

Stop and rescope when any occur:

• repeated nonzero failures without new evidence
• context churn (re-reading same files repeatedly)
• more than 3 independent domains active in one session

See references/session-scope-budgeting.md for full scope budgeting model and enforcement rules.

Session Management

Starting a Session

Session initialized.
- Project: [name]
- Goal: [today's objective]
- Context loaded: [files, previous decisions]
- Plan status: [steps remaining]

Ready to continue from: [last checkpoint]

Ending a Session

/summarize

OUTPUT:
## Session Summary

### Completed
- [List of completed items]

### In Progress
- [Current state of incomplete work]

### Decisions Made
- [Key decisions with rationale]

### Next Session
- [ ] [First task for next time]

### Context to Preserve
[Critical information for continuity]

Decision Framework

When faced with choices:

1. State the decision clearly
2. List options (2-4)
3. For each option: Pros / Cons / Effort / Risk
4. Recommendation with justification
5. Reversibility assessment

Example:
| Option | Pros | Cons | Effort | Risk |
|--------|------|------|--------|------|
| JWT | Stateless, scalable | Token management | 2 days | Low |
| Sessions | Simple, secure | Server state | 1 day | Low |
| OAuth only | No passwords | External dependency | 3 days | Medium |

Recommendation: Sessions for MVP, plan JWT migration for scale.

Integration with Other Skills

With Testing Skill

/write-plan with TDD:

Step 1: Write failing test
Step 2: Implement minimal code
Step 3: Verify test passes
Step 4: Refactor
Step 5: Add edge case tests

With Architecture Skill

/brainstorm system design:

1. Requirements clarification
2. Component identification
3. Interface definition
4. Data flow mapping
5. Implementation plan

Definition of Ready / Done (DoR/DoD)

assets/template-dor-dod.md - Checklists for work readiness and completion.

assets/template-work-item-ticket.md - Ticket template with DoR/DoD and testable acceptance criteria.

Key sections: Definition of Ready / Done checklists, Acceptance Criteria templates (Gherkin), Estimation Guidelines (story point scale 1-21+), Planning Levels (Roadmap → Sprint → Task), Cross-Functional RACI.

Do / Avoid

GOOD: Do

• Check DoR before pulling work into sprint
• Verify DoD before marking complete
• Size stories using reference scale
• Slice large stories (>8 points)
• Document acceptance criteria upfront
• Include risk buffer in estimates

BAD: Avoid

• Starting work without clear acceptance criteria
• Declaring "done" without testing
• Working on stories too big to finish in sprint
• Skipping code review "to save time"
• Deploying without staging verification

Anti-Patterns

AI/Automation

Note : AI can assist but should not replace human judgment on priorities and acceptance.

• Generate acceptance criteria - Draft from story description (needs review)
• Suggest story slicing - Based on complexity analysis
• Dependency mapping - Identify blocking relationships
• AI-augmented planning - Use LLMs to draft plans, but validate assumptions

AI-generated criteria and estimates require human calibration before committing to them.

Navigation

Resources

• references/planning-templates.md - Plan templates, incremental implementation, WIP limits
• references/session-patterns.md - Multi-session management, production lessons (Feb 2026)
• references/session-scope-budgeting.md - Scope budgeting rules and stop/rescope criteria
• references/operational-checklists.md - Preflight protocols, verification, failure ledger, subagent limits
• references/flow-metrics.md - DORA metrics, WIP limits, flow optimization
• references/agile-ceremony-patterns.md - Sprint ceremonies, retrospectives, facilitation patterns
• references/technical-debt-management.md - Debt classification, prioritization, remediation workflows
• references/remote-async-workflows.md - Async-first patterns, distributed team coordination
• assets/template-dor-dod.md - DoR/DoD checklists, estimation, cross-functional coordination

Related Skills

• ../software-architecture-design/SKILL.md - System design planning
• ../docs-ai-prd/SKILL.md - Requirements to plan conversion
• ../qa-testing-strategy/SKILL.md - TDD workflow integration
• ../qa-debugging/SKILL.md - Systematic debugging plans

Weekly Installs

73

Repository

vasilyu1983/ai-…s-public

GitHub Stars

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First Seen

Jan 23, 2026

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