flow-develop

name	flow-develop
description	Multi-AI implementation using available external providers (Double Diamond Develop phase)

{{PREAMBLE}}

Pre-Development: State Check

Before starting development:

1. Read .octo/STATE.md to verify Define phase complete
2. Update STATE.md:
   • current_phase: 3
   • phase_position: "Development"
   • status: "in_progress"

# Verify Define phase is complete
if [[ -f ".octo/STATE.md" ]]; then
  define_status=$("${HOME}/.claude-octopus/plugin/scripts/octo-state.sh" get_phase_status 2)
  if [[ "$define_status" != "complete" ]]; then
    echo "⚠️ Warning: Define phase not marked complete. Consider running definition first."
  fi
fi

# Update state for Development phase
"${HOME}/.claude-octopus/plugin/scripts/octo-state.sh" update_state \
  --phase 3 \
  --position "Development" \
  --status "in_progress"

---

⚠️ EXECUTION CONTRACT (MANDATORY - CANNOT SKIP)

This skill uses ENFORCED execution mode. You MUST follow this exact sequence.

STEP 1: Detect Work Context (MANDATORY)

Analyze the user's prompt and project to determine context:

Knowledge Context Indicators:

• Deliverable terms: "PRD", "proposal", "presentation", "report", "strategy document", "business case"
• Business terms: "market entry", "competitive analysis", "stakeholder", "executive summary"

Dev Context Indicators:

• Technical terms: "API", "endpoint", "function", "module", "service", "component"
• Action terms: "implement", "code", "build", "create", "develop" + technical noun

Also check: Does project have package.json, Cargo.toml, etc.? (suggests Dev Context)

Capture context_type = "Dev" or "Knowledge"

Step 1b: Detect Dev Subtype (if Dev context)

When context_type is Dev, determine the subtype to inject domain-appropriate quality guidance into the prompt sent to providers. Append the matching supplement text after the user's prompt.

Subtype	Trigger keywords	Quality supplement
frontend-ui	"page", "widget", "component", "UI", "HTML", "CSS", "form", "dashboard", "layout"	See frontend-ui enrichment below.
cli-tool	"CLI", "command-line", "terminal", "script", "flag", "argument"	Help text via --help flag. Meaningful exit codes (0 success, 1 user error, 2 system error). Stdin/stdout/stderr used correctly. Argument validation with clear error messages.
api-service	"API", "endpoint", "REST", "GraphQL", "gRPC", "server", "route"	Input validation at boundaries. Consistent error response format. Auth/authz on every endpoint. Rate limiting consideration. OpenAPI/schema documentation.
infra	"deploy", "terraform", "docker", "CI", "pipeline", "Kubernetes", "helm"	Idempotent operations. Secrets never hardcoded. Rollback path documented. Health checks included.
data	"ETL", "pipeline", "migration", "schema", "database", "SQL"	Idempotent migrations. Backup/rollback strategy. Data validation at ingestion.
general	Default if no subtype matches	No supplement — use base implementer persona only.

frontend-ui enrichment

When frontend-ui subtype is detected, do TWO things:

A. Inject quality supplement into the prompt: Self-contained files preferred. Accessibility: ARIA labels, keyboard nav, 44px touch targets (WCAG 2.5.5). Safe DOM: createElement over innerHTML. Progressive enhancement: feature-detect APIs (navigator.share, localStorage) with fallbacks. Persist user prefs via localStorage.

B. Pull design intelligence from BM25 (if available):

Before calling orchestrate.sh, check if the design intelligence engine exists and query it for relevant design context:

SEARCH_PY="${HOME}/.claude-octopus/plugin/vendors/ui-ux-pro-max-skill/src/ui-ux-pro-max/scripts/search.py"
if [[ -f "$SEARCH_PY" ]]; then
    # Detect relevant domains from the prompt
    design_context=""
    # Style query — what visual style fits this task?
    style_hit=$(python3 "$SEARCH_PY" "<user's task description>" --domain style --top 1 2>/dev/null || true)
    [[ -n "$style_hit" ]] && design_context+="Design style suggestion: $style_hit\n"
    # UX query — relevant UX patterns
    ux_hit=$(python3 "$SEARCH_PY" "<user's task description>" --domain ux --top 1 2>/dev/null || true)
    [[ -n "$ux_hit" ]] && design_context+="UX pattern: $ux_hit\n"
    # Append to prompt if hits found
    if [[ -n "$design_context" ]]; then
        # Append design intelligence to the orchestrate.sh prompt
        prompt="${prompt}\n\nDesign intelligence (from BM25 search):\n${design_context}"
    fi
fi

This gives providers concrete design guidance (style direction, UX patterns) without requiring the user to run /octo:design-ui-ux separately. If the search engine isn't installed, implementation proceeds with the quality supplement only.

How to apply: When calling orchestrate.sh in Step 4, append the quality supplement (and design intelligence if available) to the prompt:

orchestrate.sh develop "<user prompt>\n\nQuality requirements for this deliverable:\n<supplement text>\n<design intelligence if found>"

DO NOT PROCEED TO STEP 2 until context determined. Context type (Dev vs Knowledge) and dev subtype determine which quality supplements and design intelligence to inject — wrong context wastes provider credits on irrelevant analysis.

---

STEP 2: Display Visual Indicators (MANDATORY - BLOCKING)

MANDATORY: You MUST use the Bash tool to run this provider check BEFORE displaying the banner. Do NOT skip it. Do NOT assume availability.

bash "${HOME}/.claude-octopus/plugin/scripts/helpers/check-providers.sh"

Use the ACTUAL results below. PROHIBITED: Showing only "🔵 Claude: Available ✓" without listing all providers.

If OCTO_ALLOWED_PROVIDERS is set, treat it as the source of truth for which providers may participate. Providers filtered out by that allowlist are intentionally reported as unavailable; do not invoke or recommend them in the workflow.

Display this banner BEFORE orchestrate.sh execution:

For Dev Context:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation mode
🛠️ [Dev] Develop Phase: [Brief description of what you're building]

Provider Availability:
🔴 Codex CLI: ${codex_status} - Code generation and patterns
🟡 Antigravity CLI: ${agy_status} - Alternative approaches
🧭 Antigravity CLI: ${agy_status} - Additional external-model challenge
🔵 Claude: Available ✓ - Integration and quality gates

💰 Estimated Cost: $0.02-0.10
⏱️  Estimated Time: 3-7 minutes

For Knowledge Context:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation mode
🛠️ [Knowledge] Develop Phase: [Brief description of deliverable]

Provider Availability:
🔴 Codex CLI: ${codex_status} - Structure and framework application
🟡 Antigravity CLI: ${agy_status} - Content and narrative development
🧭 Antigravity CLI: ${agy_status} - Additional external-model challenge
🔵 Claude: Available ✓ - Integration and quality review

💰 Estimated Cost: $0.02-0.10
⏱️  Estimated Time: 3-7 minutes

DO NOT PROCEED TO STEP 3 until banner displayed. The banner shows users which providers will run and what costs they'll incur — starting API calls without this visibility violates cost transparency.

---

STEP 3: Read Prior State (MANDATORY - State Management)

Before executing the workflow, read any prior context:

# Initialize state if needed
"${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" init_state

# Set current workflow
"${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" set_current_workflow "flow-develop" "develop"

# Get prior decisions (critical for implementation)
prior_decisions=$("${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" get_decisions "all")

# Get context from discover and define phases
discover_context=$("${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" get_context "discover")
define_context=$("${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" get_context "define")

# Display what you found (if any)
if [[ "$discover_context" != "null" ]]; then
  echo "📋 Discovery phase findings:"
  echo "  $discover_context"
fi

if [[ "$define_context" != "null" ]]; then
  echo "📋 Definition phase scope:"
  echo "  $define_context"
fi

if [[ "$prior_decisions" != "[]" && "$prior_decisions" !=  ]]; 
   
    | jq -r 

This provides critical context for implementation:

• Technology stack and patterns decided
• Scope and requirements defined
• Research findings to inform implementation
• If claude-mem is installed, its MCP tools (search, timeline, get_observations) are available — use them to check for related past implementation patterns

DO NOT PROCEED TO STEP 4 until state read.

---

STEP 4: Execute orchestrate.sh develop (MANDATORY - Use Bash Tool)

You MUST execute this command via the Bash tool:

${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh develop "<user's implementation request>"

CRITICAL: You are PROHIBITED from:

• ❌ Implementing directly without calling orchestrate.sh — single-model implementation misses alternative approaches and edge cases that external providers surface through independent analysis
• ❌ Writing code without multi-provider perspectives
• ❌ Claiming you're "simulating" the workflow
• ❌ Proceeding to Step 4 without running this command

You MUST use the Bash tool to invoke orchestrate.sh.

What Users See During Execution (v7.16.0+)

If running in Claude Code v2.1.16+, users will see real-time progress indicators in the task spinner:

Phase 1 - External Provider Execution (Parallel):

• 🔴 Generating code and patterns (Codex)...
• 🟡 Exploring alternative approaches (Antigravity)...

Phase 2 - Synthesis (Sequential):

• 🔵 Integrating and applying quality gates...

These spinner verb updates happen automatically - orchestrate.sh calls update_task_progress() before each agent execution. Users see exactly which provider is working and what it's doing.

If NOT running in Claude Code v2.1.16+: Progress indicators are silently skipped, no errors shown.

---

STEP 5: Verify Execution (MANDATORY - Validation Gate)

After orchestrate.sh completes, verify it succeeded:

# Find the latest synthesis file (created within last 10 minutes)
SYNTHESIS_FILE=$(find ~/.claude-octopus/results -name "tangle-synthesis-*.md" -mmin -10 2>/dev/null | head -n1)

if [[ -z "$SYNTHESIS_FILE" ]]; then
  echo "❌ VALIDATION FAILED: No synthesis file found"
  echo "orchestrate.sh did not execute properly"
  exit 1
fi

echo "✅ VALIDATION PASSED: $SYNTHESIS_FILE"
cat "$SYNTHESIS_FILE"

If validation fails:

1. Report error to user
2. Show logs from ~/.claude-octopus/logs/
3. DO NOT proceed with presenting results
4. DO NOT substitute with direct implementation — fallback to single-model implementation skips the multi-provider synthesis that catches design flaws early

---

STEP 6: Update State (MANDATORY - Post-Execution)

After synthesis is verified, record implementation details in state:

# Extract key implementation decisions from synthesis
implementation_approach=$(head -50 "$SYNTHESIS_FILE" | grep -A 3 "## Implementation\|## Approach" | tail -3 | tr '\n' ' ')

# Record implementation decisions
decision_made=$(echo "$implementation_approach" | grep -o "implemented\|using [A-Za-z0-9 ]*\|chose to\|pattern:" | head -1)

if [[ -n "$decision_made" ]]; then
  "${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" write_decision \
    "develop" \
    "$decision_made" \
    "Multi-AI implementation consensus"
fi

# Update develop phase context
"${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" update_context \
  "develop" \
  "$implementation_approach"

# Update metrics
"${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" update_metrics "phases_completed" "1"

DO NOT PROCEED TO STEP 7 until state updated.

---

STEP 7: Present Implementation Plan (Only After Steps 1-6 Complete)

Read the synthesis file and present:

• Recommended approach
• Implementation steps
• Code overview from all available perspectives
• Quality gates results
• Request user confirmation before implementing

After user confirms: Implement the solution using Write/Edit tools

Include attribution:

---
*Multi-AI Implementation powered by Claude Octopus*
*Providers: available external providers + 🔵 Claude*
*Full implementation plan: $SYNTHESIS_FILE*

---

Develop Workflow - Develop Phase 🛠️

⚠️ MANDATORY: Context Detection & Visual Indicators

BEFORE executing ANY workflow actions, you MUST:

Step 1: Detect Work Context

Analyze the user's prompt and project to determine context:

Knowledge Context Indicators (in prompt):

• Deliverable terms: "PRD", "proposal", "presentation", "report", "strategy document", "business case"
• Business terms: "market entry", "competitive analysis", "stakeholder", "executive summary"

Dev Context Indicators (in prompt):

• Technical terms: "API", "endpoint", "function", "module", "service", "component"
• Action terms: "implement", "code", "build", "create", "develop" + technical noun

Also check: Does the project have package.json, Cargo.toml, etc.? (suggests Dev Context)

Step 1b: Detect Dev Subtype — see EXECUTION CONTRACT Step 1b above for subtype table and quality supplements. Append the matching supplement to the prompt before calling orchestrate.sh.

Step 2: Output Context-Aware Banner

For Dev Context:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation mode
🛠️ [Dev] Develop Phase: [Brief description of what you're building]
📋 Session: ${CLAUDE_SESSION_ID}

Providers:
🔴 Codex CLI - Code generation and patterns
🟡 Antigravity CLI - Alternative approaches
🔵 Claude - Integration and quality gates

For Knowledge Context:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation mode
🛠️ [Knowledge] Develop Phase: [Brief description of deliverable]
📋 Session: ${CLAUDE_SESSION_ID}

Providers:
🔴 Codex CLI - Structure and framework application
🟡 Antigravity CLI - Content and narrative development
🔵 Claude - Integration and quality review

{{VISUAL_INDICATORS}}

---

Part of Double Diamond: DEVELOP (divergent thinking)

       DEVELOP (tangle)

        \         /
         \   *   /
          \ * * /
           \   /
            \ /

       Diverge with
        solutions

What This Workflow Does

The develop phase generates multiple implementation approaches using external CLI providers:

1. 🔴 Codex CLI - Implementation-focused, code generation, technical patterns
2. 🟡 Antigravity CLI - Alternative approaches, edge cases, best practices
3. 🔵 Claude (You) - Integration, refinement, and final implementation

This is the divergent phase for solutions - we explore different implementation paths before converging on the best approach.

---

When to Use Develop

Use develop when you need:

Dev Context Examples

• Feature Implementation: "Build a user authentication system"
• Code Generation: "Create an API endpoint for user registration"
• Complex Builds: "Implement a caching layer with Redis"
• Architecture Implementation: "Create a microservice for payment processing"
• Integration Work: "Integrate Stripe payment processing"

Knowledge Context Examples

• PRD Creation: "Build a PRD for the mobile onboarding feature"
• Strategy Documents: "Create a market entry strategy for APAC"
• Business Cases: "Build a business case for migrating to cloud"
• Presentations: "Create an executive presentation on Q2 results"
• Research Reports: "Build a competitive analysis report"

Don't use develop for:

• Simple one-line code changes (use Edit tool)
• Bug fixes (use debugging skills)
• Code review tasks (use deliver-workflow or review skills)
• Reading or exploring code (use Read tool)
• Simple document edits (use Write tool)

---

Visual Indicators

Before execution, you'll see:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation
🛠️ Develop Phase: Building and developing solutions

Providers:
🔴 Codex CLI - Code generation and patterns
🟡 Antigravity CLI - Alternative approaches
🔵 Claude - Integration and refinement

---

How It Works

Step 1: Invoke Tangle Phase

${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh develop "<user's implementation request>"

Step 2: Multi-Provider Implementation

The orchestrate.sh script will:

1. Call Codex CLI with the implementation task
2. Call Antigravity CLI with the implementation task
3. You (Claude) contribute implementation analysis
4. Synthesize approaches and recommend best path

Step 3: Review Quality Gates

The tangle phase includes automatic quality validation:

• Code quality checks
• Security scanning
• Best practice validation
• Implementation completeness

Step 3b: Handle Agent Continuation (v9.5 / CC v2.1.77+)

When orchestrate.sh output contains AGENT_TEAMS_RESUME:${agent_id}:${task_id}:${role}:${phase}:

1. Send a message to the existing agent using SendMessage({to: "${agent_id}", message: "<iteration prompt>"}) — this auto-resumes a stopped agent automatically (CC v2.1.77+)
2. Read the iteration prompt from the resume instruction JSON at ~/.claude-octopus/agent-teams/${task_id}.json
3. If SendMessage returns an error (agent GC'd or not found), fall back to creating a new agent with the full prompt from the instruction file
4. After the agent responds, store its agentId via: bridge_store_agent_id(task_id, agent_id) in the bridge ledger

Note: The Agent(resume: ...) parameter was removed in CC v2.1.77. Always use SendMessage for agent continuation.

Step 4: Read Results

Results are saved to:

~/.claude-octopus/results/${SESSION_ID}/tangle-synthesis-<timestamp>.md

Step 5: Implement Solution

After reviewing all perspectives, implement the final solution using Write/Edit tools.

---

Implementation Instructions

When this skill is invoked, follow the EXECUTION CONTRACT above exactly. The contract includes:

1. Blocking Step 1: Detect work context (Dev vs Knowledge)
2. Blocking Step 2: Check providers, display visual indicators
3. Blocking Step 3: Execute orchestrate.sh develop via Bash tool
4. Blocking Step 4: Verify synthesis file exists
5. Step 5: Present implementation plan, get user confirmation
6. After confirmation: Implement the solution using Write/Edit tools

Each step is mandatory and blocking - you cannot proceed to the next step until the current one completes successfully.

Task Management Integration

Create tasks to track execution progress:

// At start of skill execution
TaskCreate({
  subject: "Execute develop workflow with multi-AI providers",
  description: "Run orchestrate.sh develop for implementation",
  activeForm: "Running multi-AI develop workflow"
})

// Mark in_progress when calling orchestrate.sh
TaskUpdate({taskId: "...", status: "in_progress"})

// Mark completed ONLY after implementation finished
TaskUpdate({taskId: "...", status: "completed"})

Error Handling

If any step fails:

• Step 1 (Context): Default to Dev Context if ambiguous
• Step 2 (Providers): If all external providers are unavailable, suggest /octo:setup and STOP
• Step 3 (orchestrate.sh): Show bash error, check logs, report to user
• Step 4 (Validation): If synthesis missing, show orchestrate.sh logs, DO NOT substitute with direct implementation

Never fall back to direct implementation if orchestrate.sh execution fails. Report the failure and let the user decide how to proceed.

Implementation Plan Format

After successful execution, present implementation plan with:

# Implementation Plan: <task>

## Recommended Approach
[Your strategic recommendation based on all perspectives]

## Implementation Steps
1. [Step-by-step implementation plan]
2. ...

## Code Overview

### Codex Approach
[Key implementation details from Codex]

### Antigravity Approach
[Alternative considerations from Antigravity]

### Final Implementation
[Your integrated solution]

## Quality Gates
- [ ] Security validation: PASSED/FAILED
- [ ] Best practices: PASSED/FAILED
- [ ] Code quality: PASSED/FAILED

Would you like me to proceed with implementation?

6. Implement the solution After user confirms, use Write/Edit tools to create the implementation:
   • Create necessary files
   • Write code based on synthesized approach
   • Add tests if applicable
   • Document the implementation

---

Example Usage

Example 1: Build Authentication System

User: Build a user authentication system with JWT

Claude:
🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation mode
🛠️ Develop Phase: Building authentication system

[Executes: ${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh develop "Build a user authentication system with JWT"]

[After completion, reads synthesis and presents:]

# Implementation Plan: User Authentication System

## Recommended Approach

Based on multi-provider analysis, I recommend a layered approach:
1. Auth middleware for JWT validation
2. Login/register endpoints
3. Token refresh mechanism
4. Secure password hashing (bcrypt)

## Implementation Steps

1. Create `src/auth/middleware.ts` - JWT validation middleware
2. Create `src/auth/controller.ts` - Login/register endpoints
3. Create `src/auth/service.ts` - Business logic
4. Create `src/auth/utils.ts` - Token generation/validation
5. Update `src/routes.ts` - Register auth routes

## Code Overview

### Codex Approach
- Modern TypeScript with strict types
- Express middleware pattern
- Redis for token blacklisting
- Comprehensive error handling

### Antigravity Approach
- Passport.js integration suggestion
- Rate limiting on auth endpoints
- Multi-factor auth consideration
- Session management alternatives

### Final Implementation
- Hybrid: Modern TypeScript + Express patterns
- JWT with refresh tokens
- bcrypt password hashing
- Rate limiting included
- Optional MFA hooks for future

## Quality Gates
- ✅ Security validation: PASSED (bcrypt, secure tokens)
- ✅ Best practices: PASSED (TypeScript, error handling)
- ⚠️  Code quality: WARNING (consider adding request validation)

Would you like me to proceed with implementation?

[User: Yes, proceed]

[Claude creates files and implements the solution]

Example 2: Create API Endpoint

User: Create an API endpoint for fetching user notifications

Claude:
🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider implementation mode
🛠️ Develop Phase: Creating API endpoint

[Executes tangle workflow]

[Presents implementation plan with multi-provider perspectives]
[Implements the endpoint after user confirmation]

---

Quality Gates Integration

The tangle phase automatically runs quality checks via .claude/hooks/quality-gate.sh:

# Triggered after tangle execution (PostToolUse hook)
./hooks/quality-gate.sh

{{QUALITY_GATES}}

---

Integration with Other Workflows

Tangle is the third phase of the Double Diamond:

PROBE (Discover) → GRASP (Define) → TANGLE (Develop) → INK (Deliver)

After tangle completes, you may continue to:

• Ink: Validate and deliver the implementation

Or use standalone for implementation tasks.

---

Before Implementation Checklist

Before writing code, ensure:

• All providers responded with implementation approaches
• Quality gates evaluated (security, best practices, code quality)
• User confirmed the implementation plan
• File structure and architecture are clear
• Dependencies identified and available
• Tests planned (if applicable)

---

After Implementation: Auto Code Review & E2E Verification (MANDATORY)

After implementation completes and before presenting results to the user, you MUST launch two verification agents in parallel. Do NOT skip this step or ask the user whether to run it — it is automatic.

Launch both agents simultaneously:

Agent 1 — Code Review (Sonnet):

Agent(
  model: "sonnet",
  subagent_type: "feature-dev:code-reviewer",
  run_in_background: true,
  description: "Code review: post-develop",
  prompt: "Review the code changes from this development session. Focus on:
1. Bugs, logic errors, security vulnerabilities
2. Hidden dependencies or coupling issues
3. Whether error handling covers failure modes
4. Adherence to project conventions (check CLAUDE.md)

Check git diff for the changed files. Report only high-confidence issues."
)

Agent 2 — E2E Verification (Sonnet):

Agent(
  model: "sonnet",
  run_in_background: true,
  description: "E2E test: post-develop",
  prompt: "Run end-to-end verification of the development changes:
1. Run the project's test suite (detect from package.json scripts, Makefile, or pyproject.toml)
2. Verify no regressions in existing tests
3. Check that new files are properly integrated (imported, registered, sourced)
4. Verify the implementation matches the original task requirements

Report: tests passed/failed, any integration issues found."
)

After both agents complete:

• Present their findings to the user as part of the results
• If the code reviewer found HIGH-confidence issues, flag them prominently
• If tests failed, flag before the "what next?" prompt
• Do NOT block on the review — present findings alongside results

WHY: The user should never have to manually request a code review after development work. Fresh-eyes review from a different model (Sonnet vs Opus) catches issues the implementer is blind to. Running tests automatically catches regressions before the user discovers them.

---

After Implementation Checklist

After writing code, ensure:

• All files created/updated
• Code follows recommended patterns from synthesis
• Code follows the project's existing commenting conventions (do not add comments unless asked or required by project style)
• Security concerns addressed
• Error handling implemented
• Tests written (if applicable)
• Lint/typecheck commands run (detect from package.json, pyproject.toml, Cargo.toml, Makefile; if not found, ask the user)
• If lint/test commands were discovered and not documented in CLAUDE.md, suggest adding them
• Auto code review completed (Sonnet agent)
• E2E verification completed (Sonnet agent)
• User notified of completion with review findings
• Suggest running ink-workflow for validation

---

Cost Awareness

External API Usage:

• 🔴 Codex CLI uses your OPENAI_API_KEY (costs apply)
• 🟡 Antigravity CLI uses your AGY_AUTH_TOKEN (costs apply)
• 🔵 Claude analysis included with Claude Code

Tangle workflows typically cost $0.02-0.10 per task depending on complexity and code length.

---

Post-Development: Checkpoint

After development completes:

1. Run fresh targeted tests for the changed behavior through skill-verification-gate; stop if they fail.
2. Create checkpoint: git tag octo-checkpoint-post-develop-$(date +%Y%m%d-%H%M%S)
3. Update .octo/STATE.md with completion and add a history entry with files modified.

# Enter this block only after fresh targeted tests pass.
checkpoint_tag="octo-checkpoint-post-develop-$(date +%Y%m%d-%H%M%S)"
git tag "$checkpoint_tag" -m "Post-develop checkpoint from embrace workflow"
echo "📌 Created checkpoint: $checkpoint_tag"

# Update state only after verification and checkpoint creation succeed.
"${HOME}/.claude-octopus/plugin/scripts/octo-state.sh" update_state \
  --status "complete" \
  --history "Develop phase completed"

# Record files modified in this phase
modified_files=$(git diff --name-only HEAD~1 2>/dev/null || echo "See git log")
"${HOME}/.claude-octopus/plugin/scripts/octo-state.sh" update_state \
  --history "Files modified: $modified_files"

---

Terminal State

The Develop phase is complete ONLY when the implementation exists, the post-develop checkpoint tag is created, and targeted tests pass fresh (see skill-verification-gate). Then invoke flow-deliver for validation. Do NOT declare the work done from here — completion claims belong to the Deliver phase after review.

Ready to build! This skill is used after explicit invocation when users request implementation or building features.