internal-component-activation-project-plan

title: Component Activation Infrastructure - PROJECT PLAN type: reference component_type: reference version: 1.0.0 created: '2025-12-27' updated: '2025-12-27' status: active tags:

ai-ml
deployment
security
testing
architecture
automation
configuration
data-processing summary: 'Component Activation Infrastructure - PROJECT PLAN Project ID: CODITECT-ACTIVATION-2025-11-29 Status: ✅ Phase 1-4 Complete Component Type Documented Callable -------------------------------- Agents 53 0 30 20 100% Commands 79 0 92 0 100% Hooks 0 0...' moe_confidence: 0.950 moe_classified: 2025-12-31 audience: contributor

Component Activation Infrastructure - PROJECT PLAN

Project ID: CODITECT-ACTIVATION-2025-11-29 Status: ✅ Phase 1-4 Complete | 🔄 Phase 5 In Progress Priority: P0 - Multi-Session Integration Created: 2025-11-29 Last Updated: 2025-11-29 Target Completion: Phase 5 - 2025-11-29 (5-7 hours)

📋 EXECUTIVE SUMMARY

The Problem

CODITECT framework has all components as files but 0% are callable:

60 agents exist but can't be invoked
all skills exist but can't be used
89 commands exist but can't be executed
all scripts exist but aren't indexed
17 hooks exist but aren't active

Root Cause: Missing activation infrastructure connecting component files → runtime execution.

The Solution

Build 3-layer activation system in 8-12 hours:

Registry Population - Scan files, populate JSON registries
Component Activation - Make components callable via Claude Code tools
Framework Integration - Connect documentation → execution

Success Criteria

✅ All 60 agents invocable via Task(subagent_type="agent-name")
✅ All all skills accessible via Skill(skill="skill-name")
✅ All 89 commands executable via /command-name
✅ All all scripts discoverable via registries
✅ coditect-router knows all all components

🎯 PROJECT OBJECTIVES

Primary Objective

Make all 290 CODITECT components discoverable, registered, and callable within 8-12 hours.

Secondary Objectives

Update all documentation to reflect actual component counts
Synchronize registries with filesystem reality
Enable end-to-end testing of component invocation
Establish automated registry maintenance

Non-Objectives (Out of Scope)

❌ Creating new components (focus on activating existing)
❌ Refactoring component architecture
❌ Performance optimization (functional first, fast later)
❌ User interface changes

📊 CURRENT STATE ASSESSMENT

Components Inventory (Actual vs Documented)

Component Type	Files Exist	Documented	Registered	Gap %
Agents	60	53	0	100%
Skills	30	27	20	100%
Commands	89	79	0	100%
Scripts	92	16	0	100%
Hooks	17	0	0	100%
TOTAL	290	175	20	100%

Infrastructure Status

What Exists (Working):

✅ Orchestrator (lib/orchestration/orchestrator.py - 625 lines)
✅ Executor (lib/orchestration/executor.py - 753 lines)
✅ Dispatcher (scripts/core/agent_dispatcher.py - 708 lines)
✅ Agent Registry structure (lib/orchestration/agent_registry.py)

What's Missing (Critical):

❌ Registry population system (scan files → populate registries)
❌ Component activation system (make callable via Claude Code)
❌ Framework bridge (connect docs → runtime)
❌ Automated registry sync (keep registries updated)

Impact Assessment

User Impact:

Users see only 60% of documented components (175/290)
Users can call 0% of components (0/290)
Framework appears far less capable than it is
Major subsystems completely hidden (Generative UI, Hooks, Git)

Developer Impact:

Can't test components programmatically
Can't use orchestration infrastructure
Can't validate component integration
Manual component invocation only

🏗️ ARCHITECTURE DESIGN

System Architecture

┌─────────────────────────────────────────────────────────┐
│  LAYER 1: COMPONENT FILES (Existing)                    │
├─────────────────────────────────────────────────────────┤
│  agents/*.md           (60 files)                       │
│  skills/*/SKILL.md     (30 files)                       │
│  commands/*.md         (89 files)                       │
│  scripts/**/*.py,*.sh  (92 files)                       │
│  hooks/**/*            (17 files)                       │
└─────────────────────────────────────────────────────────┘
                      ↓
         🔧 REGISTRY LOADER (NEW)
                      ↓
┌─────────────────────────────────────────────────────────┐
│  LAYER 2: REGISTRIES (JSON) - To Be Populated          │
├─────────────────────────────────────────────────────────┤
│  config/framework-registry.json                         │
│  skills/REGISTRY.json                                   │
│  config/commands-registry.json     (NEW)               │
│  config/scripts-registry.json      (NEW)               │
│  config/hooks-registry.json        (NEW)               │
└─────────────────────────────────────────────────────────┘
                      ↓
      🔧 COMPONENT ACTIVATOR (NEW)
                      ↓
┌─────────────────────────────────────────────────────────┐
│  LAYER 3: RUNTIME (Callable)                            │
├─────────────────────────────────────────────────────────┤
│  AgentRegistry.agents = {60 agents}                     │
│  SkillRegistry.skills = {all skills}                     │
│  CommandRegistry.commands = {89 commands}               │
│  ScriptRegistry.scripts = {all scripts}                  │
└─────────────────────────────────────────────────────────┘
                      ↓
       🔧 FRAMEWORK BRIDGE (NEW)
                      ↓
┌─────────────────────────────────────────────────────────┐
│  LAYER 4: CLAUDE CODE TOOLS (Invocable)                │
├─────────────────────────────────────────────────────────┤
│  Task(subagent_type="git-workflow-orchestrator")        │
│  Skill(skill="git-workflow-automation")                 │
│  SlashCommand(command="/git-sync")                      │
│  coditect-router "sync repositories"                    │
└─────────────────────────────────────────────────────────┘

Component Design

1. Registry Loader (`scripts/core/registry_loader.py`)

Purpose: Scan filesystem, extract metadata, populate JSON registries

Key Methods:

class RegistryLoader:
    def scan_agents(self) -> List[AgentMetadata]:
        """Scan agents/*.md, parse metadata, return agent configs"""

    def scan_skills(self) -> List[SkillMetadata]:
        """Scan skills/*/SKILL.md, parse metadata"""

    def scan_commands(self) -> List[CommandMetadata]:
        """Scan commands/*.md, parse metadata"""

    def scan_scripts(self) -> List[ScriptMetadata]:
        """Scan scripts/**/*.py,*.sh, extract metadata"""

    def scan_hooks(self) -> List[HookMetadata]:
        """Scan hooks/**/* files, extract hook configs"""

    def update_all_registries(self):
        """Update all JSON registry files with scanned data"""

    def validate_registries(self) -> ValidationReport:
        """Verify registry completeness and consistency"""

Metadata Extraction:

Parse frontmatter/YAML from markdown files
Extract description, capabilities, use cases, tools
Generate unique IDs from filenames
Preserve existing registry data (don't overwrite custom fields)

2. Component Activator (`lib/activation/component_activator.py`)

Purpose: Load registries, instantiate runtime objects, make callable

Key Methods:

class ComponentActivator:
    def __init__(self, registries: Dict[str, Path]):
        """Load all registry JSON files"""

    def activate_agent(self, agent_id: str) -> AgentConfig:
        """Load agent config, register with AgentRegistry"""

    def activate_skill(self, skill_id: str) -> SkillConfig:
        """Load skill config, expose via Skill tool"""

    def activate_command(self, command_id: str) -> CommandConfig:
        """Load command config, register with SlashCommand"""

    def activate_script(self, script_id: str) -> ScriptConfig:
        """Load script metadata, make programmatically callable"""

    def activate_all(self):
        """Bulk activation of all components"""

    def verify_callable(self, component_type: str, component_id: str) -> bool:
        """Test if component is actually callable"""

Activation Process:

Load JSON registry
Parse component metadata
Create runtime configuration object
Register with appropriate system (AgentRegistry, etc.)
Validate callability
Log activation status

3. Framework Bridge (`lib/integration/framework_bridge.py`)

Purpose: Maintain sync between docs, registries, and runtime

Key Methods:

class FrameworkBridge:
    def sync_documentation(self):
        """Update AGENT-INDEX.md, COMPLETE-INVENTORY.md with actual counts"""

    def sync_registries(self):
        """Ensure JSON registries match filesystem"""

    def validate_consistency(self) -> ConsistencyReport:
        """Check docs ↔ registries ↔ filesystem consistency"""

    def test_end_to_end(self, component_type: str, component_id: str):
        """Full invocation test (docs → registry → runtime → callable)"""

    def generate_sync_report(self) -> SyncReport:
        """Report on sync status, gaps, inconsistencies"""

📅 IMPLEMENTATION PHASES

Phase 1: Documentation Sync (2-3 hours)

Goal: Update all documentation to reflect actual component counts

Tasks:

☐ Update docs/multi-agent-reference/AGENT-INDEX.md
- Add 7 missing agents (generative-ui-*, git-workflow-orchestrator, production-cleanup-orchestrator)
- Update total count: 53 → 60
- Add subsystem sections (Generative UI, Git Workflow)
☐ Update docs/multi-agent-reference/COMPLETE-INVENTORY.md
- Add 7 missing agents with full descriptions
- Add 12 missing commands
- Add 76 missing scripts
- Add 17 hooks (new section)
- Update all totals
☐ Create scripts/SCRIPTS-INDEX.md (NEW)
- Document all all scripts by category
- Core (23), Generated (14), LLM Execution (9), etc.
- Usage examples for each category
☐ Create hooks/HOOKS-INDEX.md (NEW)
- Document all 17 hooks (6 shell + 11 Python)
- Hook purposes, activation, configuration

Deliverables:

Updated AGENT-INDEX.md (+7 agents)
Updated COMPLETE-INVENTORY.md (+115 components)
New SCRIPTS-INDEX.md (all scripts)
New HOOKS-INDEX.md (17 hooks)

Acceptance Criteria:

All all components documented
Accurate component counts in all indexes
Cross-references between documents consistent

Phase 2: Registry Population (3-4 hours)

Goal: Build registry loader, scan filesystem, populate JSON registries

Tasks:

☐ Create scripts/core/registry_loader.py (NEW - 400-500 lines)
- Implement AgentScanner (scan agents/*.md)
- Implement SkillScanner (scan skills/*/SKILL.md)
- Implement CommandScanner (scan commands/*.md)
- Implement ScriptScanner (scan scripts/**/*.py, *.sh)
- Implement HookScanner (scan hooks/**/*.sh, *.py)
- Implement metadata parsers (YAML frontmatter, markdown headers)
- Implement registry updaters (preserve existing data)
☐ Update config/framework-registry.json
- Add 7 missing agents
- Update total agent count to 60
- Add missing agent metadata (capabilities, tools, use_cases)
☐ Update skills/REGISTRY.json
- Add 10 missing skills (update from 20 → 30)
- Ensure all skills have proper metadata
☐ Create config/commands-registry.json (NEW)
- Register all 89 commands
- Include command metadata (description, action_policy, usage)
☐ Create config/scripts-registry.json (NEW)
- Register all all scripts
- Categorize by directory (core, generated, llm_execution, etc.)
☐ Create config/hooks-registry.json (NEW)
- Register all 17 hooks
- Include hook types, triggers, configurations
☐ Run registry_loader.py to populate all registries
- Execute full scan
- Generate updated JSON files
- Validate output

Deliverables:

registry_loader.py (complete implementation)
Updated framework-registry.json (see config/component-counts.json)
Updated skills/REGISTRY.json (all skills)
New commands-registry.json (see config/component-counts.json)
New scripts-registry.json (all scripts)
New hooks-registry.json (17 hooks)

Acceptance Criteria:

All all components in JSON registries
Metadata complete and accurate
Registries validate successfully
No manual editing required (fully automated)

Phase 3: Component Activation (2-3 hours)

Goal: Make all components callable via Claude Code tools

Tasks:

☐ Create lib/activation/component_activator.py (NEW - 300-400 lines)
- Implement AgentActivator
- Implement SkillActivator
- Implement CommandActivator
- Implement ScriptActivator
- Implement bulk activation methods
- Add validation and error handling
☐ Integrate with lib/orchestration/orchestrator.py
- Load AgentRegistry from framework-registry.json on initialization
- Populate orchestrator.registry with all 60 agents
- Enable agent lookup by ID
☐ Integrate with scripts/core/agent_dispatcher.py
- Load agent capabilities from framework-registry.json
- Update agent_capabilities dict with all 60 agents
- Enable agent recommendation for all agents
☐ Create activation startup script
- scripts/activate-all-components.py (auto-run on framework load)
- Loads all registries
- Activates all components
- Reports activation status
☐ Update coditect-router to load all registries
- Load commands-registry.json
- Load scripts-registry.json
- Enable discovery of all all components

Deliverables:

component_activator.py (complete implementation)
Updated orchestrator.py (loads all agents)
Updated agent_dispatcher.py (knows all agents)
New activate-all-components.py script
Updated coditect-router

Acceptance Criteria:

All 60 agents invocable via Task tool
All all skills accessible (framework aware)
All 89 commands discoverable
All all scripts indexed
coditect-router returns results for all components

Phase 4: Framework Integration & Testing (1-2 hours)

Goal: Verify end-to-end component invocation, establish sync process

Tasks:

☐ Create lib/integration/framework_bridge.py (NEW - 250-300 lines)
- Implement documentation sync methods
- Implement registry consistency validation
- Implement end-to-end testing framework
☐ End-to-end invocation tests
- Test agent invocation: Task(subagent_type="git-workflow-orchestrator", ...)
- Test skill discovery: Query git-workflow-automation skill
- Test command execution: /git-sync --dry-run
- Test script discovery: coditect-router "sync repositories"
☐ Consistency validation
- Verify docs ↔ registries consistency
- Verify registries ↔ filesystem consistency
- Verify runtime ↔ registries consistency
- Generate validation report
☐ Automated sync process
- Create pre-commit hook: Validate registries on commit
- Create CI/CD check: Verify component consistency
- Document registry maintenance workflow
☐ Create usage examples
- Example: Invoking git-workflow-orchestrator agent
- Example: Using git-workflow-automation skill
- Example: Executing /git-sync command
- Add to relevant documentation

Deliverables:

framework_bridge.py (complete implementation)
End-to-end test results (all passing)
Consistency validation report
Automated sync scripts (hooks, CI/CD)
Usage examples in docs

Acceptance Criteria:

All end-to-end tests pass
Consistency validation: 0 errors
Automated sync operational
Usage documentation complete

📊 SUCCESS METRICS

Quantitative Metrics

Metric	Before	Target	Measurement
Documented Components	175 (60%)	290 (100%)	Count in COMPLETE-INVENTORY.md
Registered Components	20 (7%)	290 (100%)	Count across all JSON registries
Callable Components	0 (0%)	290 (100%)	Successful invocation tests
Agent Invocability	0/60	60/60	Task tool invocation success
Skill Accessibility	0/30	30/30	Framework awareness
Command Executability	0/89	89/89	SlashCommand execution
Router Coverage	53 (18%)	290 (100%)	coditect-router results

Qualitative Metrics

✅ Users can discover all framework capabilities
✅ Users can invoke all components without errors
✅ Documentation accurately reflects framework state
✅ Registries stay synchronized automatically
✅ Framework feels complete and professional

Test Cases

Test Case 1: Agent Invocation

# Should work after Phase 3
Task(
    subagent_type="git-workflow-orchestrator",
    description="Sync all repositories",
    prompt="Synchronize all submodules with remote"
)
# Expected: Agent executes successfully

Test Case 2: Skill Discovery

# Should work after Phase 3
from lib.activation import ComponentActivator
activator = ComponentActivator()
skill = activator.get_skill("git-workflow-automation")
# Expected: Returns SkillConfig with metadata

Test Case 3: Command Execution

# Should work after Phase 3
/git-sync --target all --mode full
# Expected: Command executes, syncs repositories

Test Case 4: Router Discovery

# Should work after Phase 3
coditect-router "create react components"
# Expected: Suggests generative-ui-* agents and /ui command

⚠️ RISKS & MITIGATION

High-Risk Items

Risk 1: Registry Schema Mismatch

Probability: Medium
Impact: High (components won't load)
Mitigation:
- Define strict JSON schema for each registry
- Validate all registries against schema
- Use TypeScript-style validation in Python (pydantic)

Risk 2: Component Metadata Parsing Errors

Probability: High
Impact: Medium (some components won't register)
Mitigation:
- Implement robust markdown/YAML parsing
- Handle missing/malformed metadata gracefully
- Provide clear error messages for debugging
- Create comprehensive test suite

Risk 3: Claude Code Integration Failures

Probability: Medium
Impact: Critical (components not callable)
Mitigation:
- Test against actual Claude Code instance
- Follow official integration patterns
- Document workarounds for limitations
- Engage with Claude Code team if needed

Risk 4: Performance Degradation

Probability: Low
Impact: Medium (slow startup times)
Mitigation:
- Lazy-load registries (only when needed)
- Cache parsed metadata
- Optimize registry file sizes
- Profile and optimize hot paths

Medium-Risk Items

Risk 5: Documentation Drift

Probability: High (over time)
Impact: Medium (confusion, errors)
Mitigation:
- Automated sync process (pre-commit hooks)
- CI/CD validation checks
- Regular audits (monthly)
- Clear maintenance workflow

Risk 6: Breaking Changes in Component APIs

Probability: Medium
Impact: Medium (activation failures)
Mitigation:
- Version component metadata schemas
- Support backward compatibility
- Gradual migration path
- Comprehensive testing

Phase 5: Multi-Session Integration (5-7 hours) ✅ NEW

Goal: Integrate Anthropic's multi-session pattern for automatic component activation across Claude Code sessions

Background: After completing Phases 1-4, all 288 components are documented, registered, and callable - but activation requires manual execution each session. Anthropic's official multi-session pattern (discovered via research 2025-11-29) solves this exact problem.

Our Current State (90% Aligned):

✅ Filesystem component storage (agents/.md, skills//SKILL.md, etc.)
✅ Metadata registry (framework-registry.json - 117KB, 288 components)
✅ Init script (scripts/init.sh)
✅ Session context preservation (MEMORY-CONTEXT/)
✅ Git-based tracking
✅ ComponentActivator (567 lines) - loads and activates components

The 10% Gap (What Phase 5 Adds):

❌ component-activation-status.json (tracks which components are active - like Anthropic's feature_list.json)
❌ Enhanced init.sh (automatically loads activation status at session start)
❌ Session startup workflow (scripts/session-startup.py)
❌ setting_sources configuration (.claude/settings.json for SDK discovery)

Implementation Sub-Phases:

Phase 5.1: Foundation (2-3 hours)

Design activation status schema (30 min)
Create scripts/generate-activation-status.py (1 hour)
- Scan all 288 components
- Generate .claude/component-activation-status.json
- Use JSON format (prevents accidental LLM modification)
Update .claude/settings.json with setting_sources configuration (30 min)
Commit baseline (15 min)

Phase 5.2: Session Initialization (2-3 hours)

Enhance scripts/init.sh (1.5 hours)
- Load component-activation-status.json
- Verify critical components exist
- Activate project-specific components
- Display activation summary
Create supporting scripts (1 hour):
- scripts/verify-critical-components.py - Validate essential components
- scripts/activate-project-components.py - Activate based on project type
Create scripts/session-startup.py (30 min) - Full workflow automation
Document workflow (30 min)

Phase 5.3: Activation Management (1-2 hours)

Implement scripts/update-component-activation.py (1 hour)
- Activate/deactivate components
- Update status JSON atomically
- Git-track all activation changes
Create CLI interface (30 min)
- coditect activate <component-type> <component-name>
- coditect deactivate <component-type> <component-name>
- coditect status - Show activation summary
Test activation workflow (30 min)

Phase 5.4: Validation & Documentation (30-60 min)

Cross-reference with Anthropic docs (15 min)
Integration testing (30 min)
- Test session startup sequence
- Verify automatic component activation
- Validate git tracking
Update documentation (15 min)
- Update CLAUDE.md with session startup instructions
- Add Phase 5 completion to PROJECT-PLAN.md
- Document activation management commands

Deliverables:

.claude/component-activation-status.json (activation state tracker)
Enhanced scripts/init.sh (automatic activation)
scripts/generate-activation-status.py (initialization)
scripts/session-startup.py (workflow orchestration)
scripts/verify-critical-components.py (validation)
scripts/activate-project-components.py (intelligent activation)
scripts/update-component-activation.py (management)
Updated .claude/settings.json (SDK configuration)
Updated documentation (CLAUDE.md, README.md)

Acceptance Criteria:

✅ Component activation automatic on session start
✅ Status persists across sessions (via JSON + git)
✅ Init.sh completes in <5 seconds
✅ No manual activation required
✅ 100% alignment with Anthropic multi-session pattern

Success Metrics:

Session startup time: <5 seconds
Components auto-activated: 245/288 (85%)
Manual intervention: 0% (fully automatic)
Pattern alignment: 100% (matches Anthropic official guidance)

Related Documents:

PHASE-5-MULTI-SESSION-INTEGRATION.md - Comprehensive implementation guide
docs/ANTHROPIC-MULTI-SESSION-PATTERN-RESEARCH.md - Research findings
docs/07-research-analysis/anthropic-research/anthropic-long-running-agents-analysis.md - Original discovery

📦 DELIVERABLES

Phase 1 Deliverables

Updated AGENT-INDEX.md
Updated COMPLETE-INVENTORY.md
New SCRIPTS-INDEX.md
New HOOKS-INDEX.md

Phase 2 Deliverables

scripts/core/registry_loader.py (NEW)
Updated config/framework-registry.json
Updated skills/REGISTRY.json
New config/commands-registry.json
New config/scripts-registry.json
New config/hooks-registry.json

Phase 3 Deliverables

lib/activation/component_activator.py (NEW)
Updated lib/orchestration/orchestrator.py
Updated scripts/core/agent_dispatcher.py
New scripts/activate-all-components.py
Updated coditect-router

Phase 4 Deliverables

lib/integration/framework_bridge.py (NEW) - ✅ Complete (415 lines)
End-to-end test suite - ✅ Validated
Consistency validation report - ✅ Generated
Automated sync scripts - ✅ Operational
Usage documentation - ✅ Complete

Phase 5 Deliverables (Multi-Session Integration)

.claude/component-activation-status.json (activation state)
Enhanced scripts/init.sh (auto-activation)
scripts/generate-activation-status.py (initialization)
scripts/session-startup.py (workflow orchestration)
scripts/verify-critical-components.py (validation)
scripts/activate-project-components.py (intelligent activation)
scripts/update-component-activation.py (management CLI)
Updated .claude/settings.json (SDK configuration)
Updated documentation (CLAUDE.md, README.md)

👥 TEAM & RESOURCES

Roles

Primary Developer: Claude Code (Autonomous AI Agent)

Implements all code changes
Writes documentation
Runs tests
Commits to git

Project Manager: Claude Code (Self-Managed)

Tracks progress via TodoWrite tool
Updates PROJECT-PLAN.md
Manages dependencies
Reports status

QA Engineer: Claude Code (Self-Validation)

Writes test cases
Executes validation
Reports issues
Verifies fixes

Reviewer: Human (Hal Casteel)

Reviews final implementation
Approves for production
Provides feedback
Makes go/no-go decisions

Resources Required

Compute:

Claude Code session (8-12 hours)
Local development environment

Storage:

~500 KB for new registries
~100 KB for new code files
~50 KB for updated docs

External Dependencies:

None (all internal work)

📅 TIMELINE

Target Schedule (8-12 hours)

Hour 0-3: Phase 1 (Documentation)

0:00-1:00 - Update AGENT-INDEX.md, COMPLETE-INVENTORY.md
1:00-2:00 - Create SCRIPTS-INDEX.md
2:00-3:00 - Create HOOKS-INDEX.md, review/validate

Hour 3-7: Phase 2 (Registry Population)

3:00-5:00 - Implement registry_loader.py
5:00-6:00 - Run registry loader, populate all registries
6:00-7:00 - Validate registries, fix issues

Hour 7-10: Phase 3 (Component Activation)

7:00-8:30 - Implement component_activator.py
8:30-9:30 - Integrate with orchestrator, dispatcher
9:30-10:00 - Create activation script, test

Hour 10-12: Phase 4 (Integration & Testing)

10:00-10:30 - Implement framework_bridge.py
10:30-11:00 - Run end-to-end tests
11:00-11:30 - Fix issues, validate consistency
11:30-12:00 - Final documentation, commit

Milestones

M1 (Hour 3): All components documented ✓
M2 (Hour 7): All registries populated ✓
M3 (Hour 10): All components activated ✓
M4 (Hour 12): All tests passing, production-ready ✓

✅ ACCEPTANCE CRITERIA

Phase 1-4 Acceptance (✅ COMPLETE)

Phase 5 Acceptance (⏸️ PENDING)

Must-Have (P0):

component-activation-status.json created (activation state tracker)
Enhanced scripts/init.sh loads activation status automatically
scripts/generate-activation-status.py generates initial status
scripts/session-startup.py orchestrates full workflow
.claude/settings.json configured with setting_sources
Session startup completes in <5 seconds
Components auto-activate on session start (no manual intervention)
All activation changes git-tracked

Should-Have (P1):

scripts/update-component-activation.py for runtime management
CLI commands: coditect activate/deactivate/status
Intelligent component activation based on project type
Critical component validation (verify-critical-components.py)

Nice-to-Have (P2):

Performance optimization (lazy loading, caching)
Enhanced error messages for failed activations
Component activation analytics
Interactive activation browser

📝 NOTES & ASSUMPTIONS

Assumptions

Component file formats are consistent (markdown with YAML frontmatter)
Claude Code Tool invocation patterns are stable
JSON registry schemas can accommodate all metadata
No breaking changes to existing components during activation
Human reviewer available for final approval

Dependencies

Internal:

Existing orchestration infrastructure (lib/orchestration/)
Existing agent dispatcher (scripts/core/agent_dispatcher.py)
Git repository structure

External:

Claude Code platform (for Tool invocation)
Python 3.10+ environment
Git for version control

Constraints

Technical:

Must not break existing functionality
Must maintain backward compatibility
Performance overhead < 100ms for activation

Time:

Must complete in 8-12 hours (same day)
Human review required before production

Resource:

Single Claude Code agent session
Local development environment only

📚 REFERENCES

Technical References

orchestrator.py implementation
executor.py implementation
agent_dispatcher.py implementation
Claude Code Tool documentation

Project Plan Version: 1.0 Last Updated: 2025-11-29 Next Review: After Phase 1 completion

Component Activation Infrastructure - PROJECT PLAN

📋 EXECUTIVE SUMMARY​

The Problem​

The Solution​

Success Criteria​

🎯 PROJECT OBJECTIVES​

Primary Objective​

Secondary Objectives​

Non-Objectives (Out of Scope)​

📊 CURRENT STATE ASSESSMENT​

Components Inventory (Actual vs Documented)​

Infrastructure Status​

Impact Assessment​

🏗️ ARCHITECTURE DESIGN​

System Architecture​

Component Design​

1. Registry Loader (scripts/core/registry_loader.py)​

2. Component Activator (lib/activation/component_activator.py)​

3. Framework Bridge (lib/integration/framework_bridge.py)​

📅 IMPLEMENTATION PHASES​

Phase 1: Documentation Sync (2-3 hours)​

Phase 2: Registry Population (3-4 hours)​

Phase 3: Component Activation (2-3 hours)​

Phase 4: Framework Integration & Testing (1-2 hours)​

📊 SUCCESS METRICS​

Quantitative Metrics​

Qualitative Metrics​

Test Cases​

⚠️ RISKS & MITIGATION​

High-Risk Items​

Medium-Risk Items​

Phase 5: Multi-Session Integration (5-7 hours) ✅ NEW​

📦 DELIVERABLES​

Phase 1 Deliverables​

Phase 2 Deliverables​

Phase 3 Deliverables​

Phase 4 Deliverables​

Phase 5 Deliverables (Multi-Session Integration)​

👥 TEAM & RESOURCES​

Roles​

Resources Required​

📅 TIMELINE​

Target Schedule (8-12 hours)​

Milestones​

✅ ACCEPTANCE CRITERIA​

Phase 1-4 Acceptance (✅ COMPLETE)​

Phase 5 Acceptance (⏸️ PENDING)​

📝 NOTES & ASSUMPTIONS​

Assumptions​

Dependencies​

Constraints​

📚 REFERENCES​

Related Documents​

Technical References​

📋 EXECUTIVE SUMMARY

The Problem

The Solution

Success Criteria

🎯 PROJECT OBJECTIVES

Primary Objective

Secondary Objectives

Non-Objectives (Out of Scope)

📊 CURRENT STATE ASSESSMENT

Components Inventory (Actual vs Documented)

Infrastructure Status

Impact Assessment

🏗️ ARCHITECTURE DESIGN

System Architecture

Component Design

1. Registry Loader (`scripts/core/registry_loader.py`)

2. Component Activator (`lib/activation/component_activator.py`)

3. Framework Bridge (`lib/integration/framework_bridge.py`)

📅 IMPLEMENTATION PHASES

Phase 1: Documentation Sync (2-3 hours)

Phase 2: Registry Population (3-4 hours)

Phase 3: Component Activation (2-3 hours)

Phase 4: Framework Integration & Testing (1-2 hours)

📊 SUCCESS METRICS

Quantitative Metrics

Qualitative Metrics

Test Cases

⚠️ RISKS & MITIGATION

High-Risk Items

Medium-Risk Items

Phase 5: Multi-Session Integration (5-7 hours) ✅ NEW

📦 DELIVERABLES

Phase 1 Deliverables

Phase 2 Deliverables

Phase 3 Deliverables

Phase 4 Deliverables

Phase 5 Deliverables (Multi-Session Integration)

👥 TEAM & RESOURCES

Roles

Resources Required

📅 TIMELINE

Target Schedule (8-12 hours)

Milestones

✅ ACCEPTANCE CRITERIA

Phase 1-4 Acceptance (✅ COMPLETE)

Phase 5 Acceptance (⏸️ PENDING)

📝 NOTES & ASSUMPTIONS

Assumptions

Dependencies

Constraints

📚 REFERENCES

Related Documents

Technical References