spec-writer

name	spec-writer
description	This skill should be used when the user asks to "create a spec", "write a specification", "create a feature specification", "build a requirements document", "gather requirements", "develop user stories", "start discovery process", or mentions needing help with requirements analysis or product specification. Guides users through a structured discovery process using system tools (AskUserQuestion for decisions, EnterPlanMode for complex planning, TodoWrite for progress tracking) where stories emerge from problem understanding rather than being predefined.
version	0.2.0

Spec Writer

Purpose

Guide users through creating complete, unambiguous feature specifications using a discovery-driven process. Unlike traditional requirements gathering that starts with predefined user stories, this skill helps stories emerge naturally from deep problem understanding. The resulting specification is comprehensive enough for implementation without further clarification.

Core Philosophy

Stories emerge from discovery, they don't precede it.

Begin by understanding the problem space. Stories crystallize as understanding deepens through iterative exploration. Stories may split, merge, be added, or be revised as learning progresses—even after being written into the specification.

When to Use This Skill

Use this skill when the user needs to:

• Transform a feature idea into a detailed specification
• Understand and document a problem before designing solutions
• Develop user stories through structured discovery
• Create implementation-ready requirements documentation
• Guide stakeholders through requirements clarification

State Management Architecture

The Compaction Mechanism

SPEC.md serves as the compaction mechanism. As user stories reach full clarity, they graduate from working state into the deliverable specification. STATE.md holds only in-flight work. SPEC.md is a living document—graduated stories can be revised when new information warrants it.

Discovery Directory Structure

discovery/
├── SPEC.md            # Progressive deliverable (mutable)
├── STATE.md           # Working memory (current work)
├── OPEN_QUESTIONS.md  # Current blockers
└── archive/
    ├── DECISIONS.md   # Decision history
    ├── RESEARCH.md    # Research log
    ├── ITERATIONS.md  # Iteration summaries
    └── REVISIONS.md   # Changes to graduated stories

Discovery Process Overview

Phase 1: Problem Space Exploration

Goal: Understand the problem before proposing solutions.

Activities:

• Ask open-ended questions about the problem domain
• Research similar solutions and industry patterns
• Identify stakeholders and personas
• Map current state vs. desired state

Outputs to STATE.md:

• Problem statement (draft, iteratively refined)
• Identified personas
• Current vs. desired state comparison
• Emerging themes (proto-stories)

Exit Criteria:

• Core problem articulated in one paragraph
• Primary personas identified
• At least 2-3 proto-stories emerging from themes

Phase 2: Story Crystallization

Goal: Transform themes into concrete, prioritized user stories.

Proto-stories become real stories when they have:

• A clear actor (persona)
• A clear goal
• A clear value proposition ("so that...")
• Sufficient shape to enable specific questions

Activities:

• Propose story candidates from emerged themes
• Collaborate with user to prioritize (P1, P2, P3...)
• Identify dependencies between stories
• Validate stories are independently valuable

Outputs to STATE.md:

• Story backlog with priorities
• Story dependency map
• Initial confidence assessment per story

Exit Criteria:

• User has agreed on initial story set and priorities
• Each story passes "independently testable" validation
• Ready to deep-dive on P1 story

Phase 3: Story Development (Iterative)

Goal: Develop each story to graduation-ready clarity.

Work through stories by priority while remaining alert to:

• New stories emerging from questions
• Existing stories needing to split
• Stories that should merge
• Cross-cutting concerns affecting multiple stories

Activities:

• Deep-dive questions on focused story
• Story-specific research
• Draft acceptance scenarios
• Identify edge cases and requirements
• Validate with user

Graduation Criteria (per story):

• 100% confidence on story scope
• All blocking questions resolved
• Acceptance scenarios specific and testable
• Edge cases identified with defined handling
• Requirements extractable
• Success criteria measurable

Graduation Protocol:

1. Confirm with user: "Story [X] feels complete. Here's the summary: [brief]. Ready to graduate to SPEC.md?"
2. If yes: Write full story to SPEC.md, update STATE.md
3. Move to next priority story

Phase 4: Continuous Refinement

Reality: Discovery doesn't end when a story graduates.

Later stories may reveal:

• Gaps in earlier stories
• Conflicting requirements
• Shared concerns not previously visible
• Edge cases spanning stories

Process:

• Flag when new information affects graduated stories
• Propose revisions to SPEC.md when warranted
• Log all revisions to archive/REVISIONS.md
• Re-confirm with user before modifying graduated work

Revision Types:

• Additive: New acceptance scenario, edge case, requirement
• Modificative: Changing existing scenario or requirement
• Structural: Story splits or merges

All revisions require:

• User confirmation before changing SPEC.md
• Entry in archive/REVISIONS.md
• Update to affected decision/research references

Session Start Protocol

Fresh Start (No existing discovery/)

1. Enter Plan Mode to design the discovery approach:

   • Use EnterPlanMode to plan the specification strategy
   • In plan mode, explore the problem space to understand scope
   • Design the discovery approach based on problem complexity
   • Exit plan mode with a structured approach ready

2. Gather Initial Context using AskUserQuestion:

   • Use AskUserQuestion to understand the problem domain
   • Ask about problem type, stakeholders, and constraints
   • Structured questions help identify the right discovery path

3. Initialize Discovery Environment:

   • Once you understand the problem and have identified an appropriate feature name, use scripts/init-spec.sh <feature-name> (Tier 1 Essential)
   • Navigate to the created discovery/ directory
   • Use TodoWrite to track Phase 1 objectives and next steps

4. Continue with structured discovery using the enhanced process below

Resuming (Existing discovery/)

1. Read SPEC.md header + completed story count
2. Read STATE.md (in-flight work)
3. Read OPEN_QUESTIONS.md
4. Use TodoWrite to track current state:
   • Current phase and active story
   • Blocking questions requiring resolution
   • Stories ready for graduation
   • Watching items (revision risks)
5. Report current state:

"We're in Phase [X]. [N] stories completed, working on [Story Y]. [M] blocking questions. Any graduated stories at revision risk: [list]"

Field Update Rules: For exhaustive guidance on when to update each field and section, see references/file-operations.md.

Question Management

Question Categories

Track questions in OPEN_QUESTIONS.md by type using add-question.py (Tier 1 Essential):

• 🔴 Blocking: Prevents progress on current story
• 🟡 Clarifying: Needed for completeness, not blocking
• 🔵 Research Pending: Requires investigation
• 🟠 Watching: May affect graduated stories

Use resolve-question.py (Tier 2 Automation) to remove questions when answered.

See references/scripts-tier-1.md and references/scripts-tier-2.md for details.

TodoWrite Integration

CRITICAL: Use TodoWrite at every major step to maintain visibility and track progress.

Always track:

• Current phase and phase objectives
• Active story being developed
• Blocking questions requiring user input
• Research tasks in progress
• Stories ready for graduation review
• Watching items (graduated story revision risks)
• Script executions in progress

Update frequency:

• Mark tasks in_progress before starting work
• Mark completed immediately after finishing
• Add new tasks as they emerge from discovery
• Keep exactly ONE task in_progress at a time

Example todo structure:

1. [in_progress] Deep-dive questions for Story 2 payment validation
2. [pending] Research industry payment validation patterns
3. [pending] Graduate Story 1 (authentication) after user confirmation
4. [pending] Review Story 3 for potential revision based on Story 2 findings

System Tool Usage Patterns

AskUserQuestion Patterns

Use AskUserQuestion instead of free-text questions for:

1. Phase Transitions - When moving between discovery phases:

   Question: "We've completed problem exploration. Ready to identify user stories?"
   Options:
   - "Yes, let's identify stories" (Recommended)
   - "Need more problem exploration"
   - "Want to review findings first"
   

2. Story Prioritization - Instead of listing all stories:

   Question: "Which story should we develop first?"
   Options:
   - "Story 1: User authentication (foundational)"
   - "Story 2: Payment processing (high value)"
   - "Story 3: Reporting dashboard (can wait)"
   

3. Graduation Decisions - Confirming story is ready:

   Question: "Story 2 appears complete. Ready to graduate to SPEC.md?"
   Options:
   - "Yes, graduate it" (Recommended)
   - "Need to review first"
   - "Missing something (explain what)"
   

4. Revision Approval - When graduated stories need changes:

   Question: "Story 1 needs revision based on Story 3 findings. Proceed?"
   Options:
   - "Yes, revise Story 1"
   - "Explain the conflict first"
   - "Handle it differently"
   

5. Question Category Selection - When adding questions:

   Question: "How should we categorize this question?"
   Options:
   - "🔴 Blocking - prevents progress"
   - "🟡 Clarifying - needed for completeness"
   - "🔵 Research Pending - requires investigation"
   - "🟠 Watching - may affect graduated stories"
   

6. Problem Domain Exploration - At session start:

   Question: "What type of problem are we solving?"
   Options:
   - "New feature for existing product"
   - "Replacing existing functionality"
   - "Entirely new product"
   - "Integration with external system"
   

Benefits of AskUserQuestion:

• Faster user response (click vs. type)
• Clear, structured choices
• Prevents ambiguous answers
• Easier to track decisions
• Better conversation flow

Plan Mode Usage

Use EnterPlanMode for:

1. Session Start Planning:

   • Enter plan mode at the beginning of a new spec
   • Research similar features and industry patterns
   • Design the discovery approach
   • Identify likely story candidates early
   • Exit with structured plan for Phase 1

2. Phase Transition Planning:

   • Before moving from Phase 1 (exploration) to Phase 2 (story crystallization)
   • Before starting Phase 3 (story development) to prioritize work
   • Plan the approach for complex cross-cutting concerns

3. Story Graduation Planning:

   • Before graduating stories, enter plan mode to verify completeness
   • Check all acceptance scenarios are testable
   • Ensure edge cases are covered
   • Validate requirements are specific and measurable
   • Exit with confidence or identified gaps

4. Revision Planning:

   • When multiple graduated stories need coordinated revisions
   • For significant structural changes (story splits/merges)
   • To assess impact of cross-cutting changes
   • Exit with revision strategy and updated REVISIONS.md entries

Plan Mode Best Practices:

• Use read-only tools (Read, Grep, Glob) to explore without modifying
• Create thorough analysis before proposing changes
• Exit plan mode with clear, actionable recommendations
• Present plan to user with AskUserQuestion for approval

Rules of Engagement

• Problem before solution - Understand problem space before structuring stories
• Stories emerge - Let them crystallize from understanding, don't assign them
• Stories are mutable - Even graduated work can be revised with new information
• Graduation is not forever - Flag and revise when later discovery reveals gaps
• Always use system tools - AskUserQuestion for decisions, EnterPlanMode for complex planning, TodoWrite for tracking
• Always confirm changes - Never modify SPEC.md without user approval via AskUserQuestion
• Track everything - Log decisions, research, revisions, and use TodoWrite for active work
• Quantify everything - Replace vague terms with specific numbers ("fast" → "under 200ms", "many" → "up to 10,000")
• Challenge assumptions - Question both your assumptions and the user's

Completion Criteria

The specification is complete when:

• All identified stories graduated to SPEC.md
• No proto-stories remain in STATE.md
• OPEN_QUESTIONS.md is empty (including Watching list)
• All cross-cutting concerns addressed
• User confirms: "This spec captures everything"

Final Deliverable Check

Before marking complete, verify:

• Every story independently testable
• Every acceptance scenario specific (no ambiguity)
• Every edge case has defined handling
• Every requirement is specific and measurable
• Every success criterion has numbers, not vibes
• Glossary captures all domain terms
• Run validate-spec.py (Tier 1) for final validation
• User has done final review and approved

Context Recovery

Standard Resume

1. Read SPEC.md header + story status markers
2. Read STATE.md
3. Read OPEN_QUESTIONS.md
4. Report current state and continue

User Asks About Completed Story

1. Read that story section from SPEC.md
2. If context needed, search archive files

User Wants to Restart or Revise

1. Confirm: "Do you want to revise specific stories, or restart discovery entirely?"
2. If restart: Archive current files, begin fresh
3. If revise: Identify what to reconsider, move back to appropriate phase

Additional Resources

Reference Files

For detailed templates and formats:

• references/file-templates.md - Manual operations reference showing what sections you must write manually vs what scripts handle. Focus on Problem Understanding, In-Progress Story Detail, and manual metadata updates.
• references/file-operations.md - Exhaustive field-level update rules, sync checkpoints, and cross-file consistency invariants. Reference when updating files to ensure all required fields are updated and cross-references maintained.
• references/phase-guide.md - Comprehensive phase-by-phase guidance with questioning strategies, research approaches, and transition criteria

Example Files

Working examples in examples/:

• examples/sample-spec/ - Complete example specification showing the discovery process from problem exploration through graduated stories

Helper Scripts

The spec-writer skill includes 14 automation scripts in scripts/ organized in four tiers by functionality.

Script Organization:

• Tier 1: Essential Scripts (6 scripts) - Initialization, question management, decision logging, validation
• Tier 2: High-Value Automation (4 scripts) - Story graduation, status updates, research search
• Tier 3: Enhancement Scripts (3 scripts) - Research logging, revisions, status monitoring
• Tier 4: Specialized Tables (3 scripts) - Edge cases, requirements, success criteria

Quick Start:

# Initialize new spec
scripts/init-spec.sh payment-flow-redesign
cd discovery

# Add question
../scripts/add-question.py \
  --question "Who are the primary users?" \
  --category clarifying

# Log decision
../scripts/log-decision.py \
  --title "Use REST API" \
  --context "Need API protocol" \
  --decision "REST with JSON" \
  --stories "Story 1, Story 2"

# Find decisions
../scripts/find-decisions.py --story 1

# Validate spec
../scripts/validate-spec.py

Smart Directory Discovery: All scripts automatically locate discovery/ directory using:

1. Explicit --discovery-path flag
2. Current directory if in discovery/
3. Auto-locate in parent directories

Script Reference Documentation:

Read the appropriate tier reference based on your current task:

• references/scripts-tier-1.md - Read when: starting new spec, adding questions, logging decisions, finding past decisions, validating spec integrity

  • init-spec.sh, next-id.py, add-question.py, find-decisions.py, log-decision.py, validate-spec.py

• references/scripts-tier-2.md - Read when: graduating stories to SPEC.md, changing story status, resolving questions, searching research log

  • graduate-story.py, update-story-status.py, resolve-question.py, find-research.py

• references/scripts-tier-3.md - Read when: logging research findings, recording revisions to graduated stories, getting quick status overview

  • log-research.py, add-revision.py, story-status.sh

• references/scripts-tier-4.md - Read when: adding edge cases, extracting functional requirements, defining success criteria

  • add-edge-case.py, add-functional-requirement.py, add-success-criteria.py

Progressive Reading: Start with Tier 1 for basic operations, read higher tiers only when needed for specific tasks.

When to Use Scripts

The 16 automation scripts are organized into 4 tiers by functionality and use case. Use this quick reference to find the right script and its documentation.

Quick Reference: Task → Tier

Task	Tier	Key Scripts	Reference
Starting a new spec	1	init-spec.sh	scripts-tier-1.md
Adding questions	1	add-question.py	scripts-tier-1.md
Logging decisions	1	log-decision.py	scripts-tier-1.md
Finding decisions	1	find-decisions.py	scripts-tier-1.md
Validating spec	1	validate-spec.py	scripts-tier-1.md
Graduating stories	2	graduate-story.py	scripts-tier-2.md
Changing story status	2	update-story-status.py	scripts-tier-2.md
Resolving questions	2	resolve-question.py	scripts-tier-2.md
Finding research	2	find-research.py	scripts-tier-2.md
Logging research	3	log-research.py	scripts-tier-3.md
Recording revisions	3	add-revision.py	scripts-tier-3.md
Logging iterations	3	log-iteration.py	scripts-tier-3.md
Finding iterations	3	find-iterations.py	scripts-tier-3.md
Status overview	3	story-status.sh	scripts-tier-3.md
Adding edge cases	4	add-edge-case.py	scripts-tier-4.md
Adding requirements	4	add-functional-requirement.py	scripts-tier-4.md
Adding success criteria	4	add-success-criteria.py	scripts-tier-4.md

Tier Documentation

Read the appropriate tier reference based on your current task:

• Tier 1: Essential Scripts — references/scripts-tier-1.md

  Read when: starting new spec, adding questions, logging decisions, finding past decisions, validating spec integrity

  Core scripts for initialization and basic discovery operations.

• Tier 2: High-Value Automation — references/scripts-tier-2.md

  Read when: graduating stories to SPEC.md, changing story status, resolving questions, searching research log

  Advanced workflow automation for story lifecycle management.

• Tier 3: Enhancement Scripts — references/scripts-tier-3.md

  Read when: logging research findings, recording revisions to graduated stories, logging iteration summaries, getting quick status overview

  Support scripts for research, revisions, iteration tracking, and monitoring.

• Tier 4: Specialized Tables — references/scripts-tier-4.md

  Read when: adding edge cases, extracting functional requirements, defining success criteria

  Scripts for managing SPEC.md requirement tables.

Progressive Reading Strategy:

1. Start with Tier 1 for basic operations
2. Read higher tiers only when needed for specific tasks
3. Each tier reference includes complete usage examples and workflow patterns

Implementation Approach

Phase Transitions

Use AskUserQuestion for all phase transitions to ensure user alignment.

Monitor for transition signals:

• Phase 1 → 2: Problem statement clear, personas identified, proto-stories emerging

  • Use AskUserQuestion: "Ready to identify user stories from these themes?"
  • Options: "Yes, let's identify stories" / "Need more exploration" / "Review findings first"

• Phase 2 → 3: Story backlog confirmed, priorities agreed, ready to deep-dive

  • Use EnterPlanMode to plan story development sequence
  • Use AskUserQuestion: "Which story should we develop first?"
  • Options: List top 3-4 stories with brief descriptions
  • Use TodoWrite to track story development queue

• Phase 3 → 4: First story graduates (automatic—always in refinement mode afterward)

  • Use AskUserQuestion before graduation: "Story [X] ready to graduate?"
  • Add watching items to TodoWrite for graduated story revision risks

• Phase 4 → Complete: All stories graduated, no open questions, user confirms completeness

  • Use AskUserQuestion: "All stories graduated. Ready for final review?"
  • Options: "Yes, final review" / "Need to revisit [story]" / "Add another story"

Story Development Workflow

For each story (in priority order):

1. Select and Start - Use AskUserQuestion to select next story from backlog

   • Use TodoWrite to mark story as in_progress
   • Use update-story-status.py (Tier 2) to mark story as "In Progress"

2. Plan Story Development - Use EnterPlanMode for complex stories

   • Research similar features and patterns
   • Identify likely acceptance scenarios
   • Plan questioning strategy
   • Exit with structured development approach

3. Deep-dive Questions - Use structured questioning

   • Add blocking questions with add-question.py (Tier 1)
   • Use AskUserQuestion for category selection (🔴 Blocking / 🟡 Clarifying / 🔵 Research / 🟠 Watching)
   • Track answers and update STATE.md
   • Use TodoWrite to track question resolution progress

4. Research - Log findings systematically

   • Use log-research.py (Tier 3) for research findings
   • Track research tasks in TodoWrite
   • Mark research completed when logged

5. Draft and Validate - Extract requirements with Tier 4 scripts

   • Use add-functional-requirement.py (Tier 4)
   • Use add-edge-case.py (Tier 4)
   • Use add-success-criteria.py (Tier 4)
   • Track extraction progress in TodoWrite

6. Check Graduation Criteria - Use EnterPlanMode to validate completeness

   • All blockers resolved?
   • All acceptance scenarios testable?
   • All edge cases identified?
   • All requirements specific and measurable?
   • Exit plan mode with confidence or identified gaps

7. Graduate - Use AskUserQuestion to confirm readiness

   • Ask: "Story [X] appears complete. Ready to graduate to SPEC.md?"
   • Options: "Yes, graduate it (Recommended)" / "Need to review first" / "Missing something"
   • If approved: Use graduate-story.py (Tier 2)
   • Mark graduation completed in TodoWrite

8. Validate - Run validate-spec.py (Tier 1) to check integrity

   • Track validation in TodoWrite
   • Fix any issues before moving on

9. Log Iteration - Use log-iteration.py (Tier 3) after completing story cycle

   • Track iteration logging in TodoWrite
   • Mark iteration completed

See appropriate tier references for detailed usage. For graduation field updates and sync rules, see references/file-operations.md.

Stay alert using TodoWrite:

• New stories emerging (add to backlog, use AskUserQuestion for priority)
• Stories needing to split (too complex - use EnterPlanMode to plan split)
• Stories needing to merge (too coupled - use EnterPlanMode to plan merge)
• Questions affecting graduated stories (add to Watching list in TodoWrite)

Revision Management

When new information affects graduated stories:

1. Flag and Track - Immediately identify revision risks

   • Add to watching list in TodoWrite: "Story [X] may need revision - [reason]"
   • Flag immediately: "This answer suggests we may need to revise Story 1. Specifically: [what might change]"

2. Plan Revision - For significant changes, use EnterPlanMode

   • Analyze impact on other stories
   • Identify all affected requirements, edge cases, and success criteria
   • Design revision approach (additive, modificative, or structural)
   • Exit with revision strategy

3. Confirm with User - Use AskUserQuestion for revision approval

   • Question: "Story [X] needs revision based on new information. Proceed?"
   • Options: "Yes, revise Story [X]" / "Explain the conflict first" / "Handle it differently"
   • Add specific description of proposed changes

4. Execute Revision - If approved via AskUserQuestion:

   • Mark revision task as in_progress in TodoWrite
   • Log revision with add-revision.py (Tier 3 Enhancement)
   • Update SPEC.md manually
   • Update affected requirements/edge cases with Tier 4 scripts if needed
   • Mark revision completed in TodoWrite

5. Validate Changes - Always validate after revision

   • Run validate-spec.py (Tier 1) to check integrity
   • Track validation in TodoWrite
   • Resolve any cross-reference issues

For revision field updates and sync rules, see references/file-operations.md. For revision logging script details, see references/scripts-tier-3.md.

Best Practices

System Tool Integration

• Always use TodoWrite - Track every phase, story, question, and task
• Prefer AskUserQuestion - Use structured questions instead of free-text for decisions
• Use EnterPlanMode strategically - Plan before acting on complex tasks
• Update tools in real-time - Mark tasks in_progress before starting, completed immediately after

Discovery Process

• Begin each session by checking for existing discovery/ directory
• Use STATE.md as working memory, SPEC.md as graduated deliverable
• Track all questions in OPEN_QUESTIONS.md for visibility
• Log decisions and research in archive files for traceability
• Update STATE.md frequently to reflect current understanding

Story Management

• Graduate stories only when 100% confident (confirm with AskUserQuestion)
• Flag potential revisions to graduated stories proactively in TodoWrite
• Use EnterPlanMode before graduating to validate completeness
• Quantify all vague terms in requirements and success criteria
• Challenge assumptions respectfully but firmly
• Maintain story independence for testability

User Interaction

• Use AskUserQuestion for all major decisions and phase transitions
• Provide 2-4 clear options with descriptions
• Mark recommended options when appropriate
• Confirm changes to SPEC.md with AskUserQuestion before executing
• Track user responses and update TodoWrite accordingly

Start by checking if discovery/SPEC.md exists, then follow the appropriate protocol (fresh start or resume). Guide the user through discovery with patience, using system tools (AskUserQuestion, EnterPlanMode, TodoWrite) to create a structured, trackable process rather than overwhelming them with free-text questions.

Quick Reference: When to Use Which Tool

Use AskUserQuestion When:

• Moving between phases
• Selecting which story to work on next
• Confirming story graduation
• Approving revisions to graduated stories
• Choosing question categories
• Making any binary or multiple-choice decision
• User needs to pick from a set of options

DON'T use free-text questions when AskUserQuestion would work better.

Use EnterPlanMode When:

• Starting a new spec (plan discovery approach)
• Transitioning between phases (plan next phase)
• Developing complex stories (plan questioning strategy)
• Before graduating stories (validate completeness)
• Planning revisions to graduated stories
• Stories need to split or merge
• Multiple stories need coordinated changes

DON'T skip planning for complex tasks.

Use TodoWrite When:

• Starting any new phase
• Beginning story development
• Tracking blocking questions
• Managing research tasks
• Tracking graduation readiness
• Flagging revision risks
• ANY time you have multiple tasks to manage

DON'T work without visible progress tracking.

Tool Combination Patterns

Phase Transition:

1. TodoWrite: Add "Plan phase transition" task, mark in_progress
2. EnterPlanMode: Plan the next phase approach
3. AskUserQuestion: Confirm transition with user
4. TodoWrite: Mark transition completed, add next phase tasks

Story Graduation:

1. TodoWrite: Add "Validate Story X for graduation" task, mark in_progress
2. EnterPlanMode: Verify all graduation criteria met
3. AskUserQuestion: Confirm readiness with user
4. Bash: Run graduate-story.py script
5. TodoWrite: Mark graduation completed

Story Revision:

1. TodoWrite: Add watching item for potential revision
2. EnterPlanMode: Analyze impact and plan revision
3. AskUserQuestion: Get approval for revision
4. Bash: Execute revision scripts
5. TodoWrite: Mark revision completed

Remember: System tools make the process visible, structured, and trackable. Use them liberally.