visualize-plan

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Renders planned changes — architecture and before/after comparisons, risk heat maps, execution order, dependency graphs, impact metrics — in your chosen output format (ASCII + emojis, an interactive HTML playground, or a NotebookLM infographic). Stores visualizations in memory for cross-session reference. Use when reviewing implementation plans, comparing approaches, assessing risk, or analyzing change propagation.

yonatangross By yonatangross schedule Updated 6/10/2026

name: visualize-plan license: MIT compatibility: "Claude Code 2.1.170+." description: "Renders planned changes — architecture and before/after comparisons, risk heat maps, execution order, dependency graphs, impact metrics — in your chosen output format (ASCII + emojis, an interactive HTML playground, or a NotebookLM infographic). Stores visualizations in memory for cross-session reference. Use when reviewing implementation plans, comparing approaches, assessing risk, or analyzing change propagation." argument-hint: "[plan-or-issue]" context: fork agent: workflow-architect model: sonnet version: 2.1.0 author: OrchestKit tags: [visualization, planning, before-after, architecture, diff, risk, impact, migration, playground, infographic, multi-format] user-invocable: true allowed-tools: [Read, Grep, Glob, Task, TaskCreate, TaskUpdate, AskUserQuestion, Bash, Write, mcp__memory__search_nodes, mcp__memory__create_entities, ToolSearch] skills: [ascii-visualizer, explore, architecture-decision-record, memory, remember] complexity: medium persuasion-type: guidance hooks: PreToolUse: - matcher: "Bash" command: "${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/plan-context-loader" once: true metadata: category: document-asset-creation mcp-server: memory triggers: keywords: [visualize, "visualize plan", "visualize the plan", "visualize the", "show diagram", "before and after", "execution order", "risk and impact", swimlane, "what files will change"] examples: - "visualize the plan for the billing module redesign" - "show me a before and after diagram for this migration" - "whats the risk and impact of the changes"

anti-triggers: [implement, brainstorm, explore, assess, fix]

Plan Visualization

Render planned changes as structured ASCII visualizations with risk analysis, execution order, and impact metrics. Every section answers a specific reviewer question.

Core principle: Encode judgment into visualization, not decoration.

/ork:visualize-plan                          # Auto-detect from current branch
/ork:visualize-plan billing module redesign  # Describe the plan
/ork:visualize-plan #234                     # Pull from GitHub issue

Argument Resolution

PLAN_INPUT = "$ARGUMENTS"    # Full argument string
PLAN_TOKEN = "$ARGUMENTS[0]" # First token — could be issue "#234" or plan description
# If starts with "#", treat as GitHub issue number. Otherwise, plan description.
# $ARGUMENTS (full string) for multi-word descriptions (CC 2.1.59 indexed access)

CRITICAL: Task Tracking

# 1. Create main task IMMEDIATELY
TaskCreate(subject="Visualize plan: {PLAN_INPUT}", description="Plan visualization with ASCII rendering", activeForm="Analyzing plan context")

# 2. Create subtasks for each phase
TaskCreate(subject="Detect or clarify plan context", activeForm="Detecting plan context")          # id=2
TaskCreate(subject="Gather data and explore architecture", activeForm="Gathering plan data")       # id=3
TaskCreate(subject="Render tier 1 header", activeForm="Rendering header")                          # id=4
TaskCreate(subject="Render sections + dispatch to chosen format(s)", activeForm="Rendering sections") # id=5
TaskCreate(subject="Offer actions and store in memory", activeForm="Finalizing visualization")     # id=6

# 3. Set dependencies for sequential phases
TaskUpdate(taskId="3", addBlockedBy=["2"])  # Data gathering needs context first
TaskUpdate(taskId="4", addBlockedBy=["3"])  # Header needs gathered data
TaskUpdate(taskId="5", addBlockedBy=["4"])  # Sections need header rendered
TaskUpdate(taskId="6", addBlockedBy=["5"])  # Actions need sections done

# 4. Before starting each task, verify it's unblocked
task = TaskGet(taskId="2")  # Verify blockedBy is empty

# 5. Update status as you progress
TaskUpdate(taskId="2", status="in_progress")  # When starting
TaskUpdate(taskId="2", status="completed")    # When done — repeat for each subtask

STEP -1: Check Memory for Prior Plans

# Search for related prior visualizations
mcp__memory__search_nodes(query="plan visualization {PLAN_INPUT}")
# If found, offer to compare with previous plan

STEP 0: Detect or Clarify Plan Context

First, attempt auto-detection by running scripts/detect-plan-context.sh:

bash "$SKILL_DIR/scripts/detect-plan-context.sh"

This outputs branch name, issue number (if any), commit count, and file change summary.

If auto-detection finds a clear plan (branch with commits diverging from main, or issue number in args), proceed to Step 1.

If ambiguous, clarify with AskUserQuestion:

AskUserQuestion(
  questions=[{
    "question": "What should I visualize?",
    "header": "Source",
    "options": [
      {"label": "Current branch changes (Recommended)", "description": "Auto-detect from git diff against main"},
      {"label": "Describe the plan", "description": "I'll explain what I'm planning to change"},
      {"label": "GitHub issue", "description": "Pull plan from a specific issue number"},
      {"label": "Quick file diff only", "description": "Just show the change manifest, skip analysis"}
    ],
    "multiSelect": false
  }]
)

STEP 0.5: Choose Output Format (Front Door)

Decide how to render before gathering data. First probe capabilities, then ask only for what's available. Full procedure: Read("${CLAUDE_SKILL_DIR}/references/format-dispatch.md").

Use the established MCP-probe pattern — Read("${CLAUDE_SKILL_DIR}/../chain-patterns/references/mcp-detection.md") — not ad-hoc checks:

# infographic is available IFF the notebooklm studio tool resolves:
ToolSearch(query="select:mcp__notebooklm-mcp__studio_create")

Gate the options: ascii always (the floor); playground if the playground skill is installed (ships with ork); infographic if studio_create resolved above (server reachable + nlm login done). If only ASCII is available, skip the question.

If only ASCII is available, skip the question and render ASCII. Otherwise ask (hide ungated options, surface a one-line install/auth hint instead):

AskUserQuestion(questions=[{
  "question": "How should I render this plan?",
  "header": "Format",
  "options": [
    {"label": "ASCII + emojis (Recommended)", "description": "Fast, in-chat, zero-dependency. Always the floor — rendered first even if you also pick a richer format."},
    {"label": "Interactive playground", "description": "Single-file HTML explorer written to docs/<branch-dir>/plan-viz.html (also satisfies the PR Playground gate). Delegates to the playground skill."},
    {"label": "NotebookLM infographic", "description": "Stakeholder-ready infographic/slides via notebooklm studio_create. Async — fired and notified, never blocks."},
    {"label": "All available", "description": "ASCII inline now + the richer formats linked as they finish."}
  ],
  "multiSelect": false
}])

ASCII floor rule: always render ASCII first/inline regardless of choice — never await the async NotebookLM job. Record the chosen format(s) as FORMATS for STEP 4 dispatch.


STEP 1: Gather Data

Run scripts/analyze-impact.sh for precise counts:

bash "$SKILL_DIR/scripts/analyze-impact.sh"

This produces: files by action (add/modify/delete), line counts, test files affected, and dependency changes.

For architecture-level understanding and the default before/after section [0], spawn an Explore agent that maps the component graph at BOTH the base and the head:

Agent(
  subagent_type="Explore",
  prompt="Map component architecture of {affected_directories} at TWO points: (a) base = each file as returned by `git show origin/main:<path>` (NOT the working tree — avoids conflating uncommitted edits), (b) head = current working tree. Return per point: components, dependencies, data flows; mark what is added [+], removed [-], or changed [~] between them. Use the ascii-visualizer skill for diagrams.",
  model="haiku"
)

If the diff touches frontend (*.tsx/*.css/route files), also run a design-context-extract pass so the design surface is part of before/after. Patterns: Read("${CLAUDE_SKILL_DIR}/references/before-after-arch-patterns.md").

Build a compact plan brief (markdown) from this data — the single interchange every non-ASCII format consumes (see format-dispatch.md).


STEP 2: Render Tier 1 Header (Always)

Use assets/tier1-header.md template. Load Read("${CLAUDE_SKILL_DIR}/references/visualization-tiers.md") for field computation (risk level, confidence, reversibility).

PLAN: {plan_name} ({issue_ref})  |  {phase_count} phases  |  {file_count} files  |  +{added} -{removed} lines
Risk: {risk_level}  |  Confidence: {confidence}  |  Reversible until {last_safe_phase}
Branch: {branch} -> {base_branch}

[0] Before/After  [1] Changes  [2] Execution  [3] Risks  [4] Decisions  [5] Impact  [all]

STEP 3: Ask Which Sections to Expand

Section [0] Before/After is rendered automatically as the lead whenever the Explore map shows structural changes (skipped with a one-line note otherwise) — so it is never buried behind a picker choice. The options below select among the remaining sections [1]–[5]; "All sections" includes [0].

AskUserQuestion(
  questions=[{
    "question": "Which sections to render?",
    "header": "Sections",
    "options": [
      {"label": "All sections", "description": "Full visualization with all 6 core sections"},
      {"label": "Changes + Execution", "description": "File diff tree and execution swimlane"},
      {"label": "Risks + Decisions", "description": "Risk dashboard and decision log"},
      {"label": "Impact only", "description": "Just the numbers: files, lines, tests, API surface"}
    ],
    "multiSelect": false
  }]
)

STEP 4: Render Requested Sections

Render each requested section following ${CLAUDE_SKILL_DIR}/rules/section-rendering.md conventions. Use the corresponding reference for ASCII patterns:

Section Reference Key Convention
[0] Before/After Arch (load ${CLAUDE_SKILL_DIR}/references/before-after-arch-patterns.md) Side-by-side base vs head; mark [+]/[~]/[-]; skip if nothing structural changed
[1] Change Manifest (load ${CLAUDE_SKILL_DIR}/references/change-manifest-patterns.md) [A]/[M]/[D] + +N -N per file
[2] Execution Swimlane (load ${CLAUDE_SKILL_DIR}/references/execution-swimlane-patterns.md) === active, --- blocked, | deps
[3] Risk Dashboard (load ${CLAUDE_SKILL_DIR}/references/risk-dashboard-patterns.md) Reversibility timeline + 3 pre-mortems
[4] Decision Log (load ${CLAUDE_SKILL_DIR}/references/decision-log-patterns.md) ADR-lite: Context/Decision/Alternatives/Tradeoff
[5] Impact Summary (load ${CLAUDE_SKILL_DIR}/assets/impact-dashboard.md) Table: Added/Modified/Deleted/NET + tests/API/deps

STEP 4b: Dispatch to Format(s)

Render the selected sections into the FORMATS chosen in STEP 0.5. ASCII always renders first/inline — the other formats consume the same plan brief. Full table + delegation patterns: Read("${CLAUDE_SKILL_DIR}/references/format-dispatch.md").

Format Action
ASCII Native render (above) — always, the floor
Playground Hand the plan brief to the playground skill → write docs/<branch-dir>/plan-viz.html, link it
Infographic Run the notebooklm studio_create(artifact_type=infographic|slides) flow — fire-and-notify, poll studio_status, never await
All ASCII inline now + the rest linked as they finish

<branch-dir> = branch with /-- (same path the PR Playground gate checks).


STEP 5: Offer Actions

After rendering, offer next steps:

AskUserQuestion(
  questions=[{
    "question": "What next?",
    "header": "Actions",
    "options": [
      {"label": "Write to designs/", "description": "Save as designs/{branch}.md for PR review"},
      {"label": "Generate GitHub issues", "description": "Create issues from execution phases with labels and milestones"},
      {"label": "Drill deeper", "description": "Expand blast radius, cross-layer check, or migration checklist"},
      {"label": "Done", "description": "Plan visualization complete"}
    ],
    "multiSelect": false
  }]
)

Progressive upgrade: if ASCII-only was rendered and a richer format is still available (per the STEP 0.5 probe), replace the "Done" option with "Upgrade to playground / infographic" — it reuses the plan brief, no recomputation (see references/format-dispatch.md).

Write to file: Save full report to designs/{branch-name}.md using assets/plan-report.md template.

Generate issues: For each execution phase, create a GitHub issue with title [{component}] {phase_description}, labels (component + risk:{level}), milestone, body from plan sections, and blocked-by references.

Store in memory: Save plan summary to knowledge graph for future comparison:

mcp__memory__create_entities(entities=[{
  "name": "Plan: {plan_name}",
  "entityType": "plan-visualization",
  "observations": [
    "Branch: {branch}",
    "Risk: {risk_level}, Confidence: {confidence}",
    "Phases: {phase_count}, Files: {file_count}",
    "Key decisions: {decision_summary}"
  ]
}])

Deep Dives (Tier 3, on request)

Available when user selects "Drill deeper". Load Read("${CLAUDE_SKILL_DIR}/references/deep-dives.md") for cross-layer and migration patterns.

Section What It Shows Reference
[6] Blast Radius Concentric rings of impact (direct -> transitive -> tests) (load ${CLAUDE_SKILL_DIR}/references/blast-radius-patterns.md)
[7] Cross-Layer Consistency Frontend/backend endpoint alignment with gap detection (load ${CLAUDE_SKILL_DIR}/references/deep-dives.md)
[8] Migration Checklist Ordered runbook with sequential/parallel blocks and time estimates (load ${CLAUDE_SKILL_DIR}/references/deep-dives.md)

Key Principles

Principle Application
Progressive disclosure Tier 1 header always, sections on request
Judgment over decoration Every section answers a reviewer question
Precise over estimated Use scripts for file/line counts
Honest uncertainty Confidence levels, pre-mortems, tradeoff costs
Actionable output Write to file, generate issues, drill deeper
Anti-slop No generic transitions, no fake precision, no unused sections

Rules Quick Reference

Rule Impact What It Covers
section-rendering (load ${CLAUDE_SKILL_DIR}/rules/section-rendering.md) HIGH Rendering conventions for all 6 core sections ([0]–[5])
ASCII diagrams MEDIUM Via ascii-visualizer skill (box-drawing, file trees, workflows)

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"):

File Content
visualization-tiers.md Progressive disclosure tiers and header field computation
change-manifest-patterns.md Change manifest ASCII patterns
execution-swimlane-patterns.md Execution swimlane ASCII patterns
risk-dashboard-patterns.md Risk dashboard ASCII patterns
decision-log-patterns.md Decision log ASCII patterns
blast-radius-patterns.md Blast radius ASCII patterns
deep-dives.md Cross-layer consistency and migration checklist
format-dispatch.md Output-format capability probe, ASCII-floor rule, delegation to playground/notebooklm
before-after-arch-patterns.md Section [0] before/after architecture per output format

Assets

Load on demand with Read("${CLAUDE_SKILL_DIR}/assets/<file>"):

File Content
plan-report.md Full mustache-style report template
impact-dashboard.md Impact table template
tier1-header.md 5-line summary template

Related Skills

  • ork:implement - Execute planned changes
  • ork:explore - Understand current architecture
  • ork:assess - Evaluate complexity and risks
  • ork:memory - Search prior plan visualizations
  • ork:remember - Store plan decisions for future reference
Install via CLI
npx skills add https://github.com/yonatangross/orchestkit --skill visualize-plan
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