Component Activation Infrastructure PROJECT PLAN
Component Activation Infrastructure - PROJECT PLAN
Project ID: CODITECT-ACTIVATION-2025-11-29 Status: β Phase 1-4 Complete | π 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)
π EXECUTIVE SUMMARYβ
The Problemβ
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 β runtime execution.
The Solutionβ
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 β execution
Success Criteriaβ
- β
All 60 agents invocable via
Task(subagent_type="agent-name") - β
All all skills accessible via
Skill(skill="skill-name") - β
All 89 commands executable via
/command-name - β All all scripts discoverable via registries
- β
coditect-routerknows all all components
π― PROJECT OBJECTIVESβ
Primary Objectiveβ
Make all 290 CODITECT components discoverable, registered, and callable within 8-12 hours.
Secondary Objectivesβ
- 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)β
- β Creating new components (focus on activating existing)
- β Refactoring component architecture
- β Performance optimization (functional first, fast later)
- β User interface changes
π CURRENT STATE ASSESSMENTβ
Components Inventory (Actual vs Documented)β
| Component Type | Files Exist | Documented | Registered | Callable | Gap % |
|---|---|---|---|---|---|
| Agents | 60 | 53 | 0 | 0 | 100% |
| Skills | 30 | 27 | 20 | 0 | 100% |
| Commands | 89 | 79 | 0 | 0 | 100% |
| Scripts | 92 | 16 | 0 | 0 | 100% |
| Hooks | 17 | 0 | 0 | 0 | 100% |
| TOTAL | 290 | 175 | 20 | 0 | 100% |
Infrastructure Statusβ
What Exists (Working):
- β
Orchestrator (
lib/orchestration/orchestrator.py- 625 lines) - β
Executor (
lib/orchestration/executor.py- 753 lines) - β
Dispatcher (
scripts/core/agent_dispatcher.py- 708 lines) - β
Agent Registry structure (
lib/orchestration/agent_registry.py)
What's Missing (Critical):
- β Registry population system (scan files β populate registries)
- β Component activation system (make callable via Claude Code)
- β Framework bridge (connect docs β runtime)
- β Automated registry sync (keep registries updated)
Impact Assessmentβ
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
ποΈ ARCHITECTURE DESIGNβ
System Architectureβ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β LAYER 1: COMPONENT FILES (Existing) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β agents/*.md (60 files) β
β skills/*/SKILL.md (30 files) β
β commands/*.md (89 files) β
β scripts/**/*.py,*.sh (92 files) β
β hooks/**/* (17 files) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β
π§ REGISTRY LOADER (NEW)
β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β LAYER 2: REGISTRIES (JSON) - To Be Populated β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β config/framework-registry.json β
β skills/REGISTRY.json β
β config/commands-registry.json (NEW) β
β config/scripts-registry.json (NEW) β
β config/hooks-registry.json (NEW) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β
π§ COMPONENT ACTIVATOR (NEW)
β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β LAYER 3: RUNTIME (Callable) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β AgentRegistry.agents = {60 agents} β
β SkillRegistry.skills = {all skills} β
β CommandRegistry.commands = {89 commands} β
β ScriptRegistry.scripts = {all scripts} β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β
π§ FRAMEWORK BRIDGE (NEW)
β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β LAYER 4: CLAUDE CODE TOOLS (Invocable) β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Task(subagent_type="git-workflow-orchestrator") β
β Skill(skill="git-workflow-automation") β
β SlashCommand(command="/git-sync") β
β coditect-router "sync repositories" β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Component Designβ
1. Registry Loader (scripts/core/registry_loader.py)β
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)β
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)β
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 β registries β filesystem consistency"""
def test_end_to_end(self, component_type: str, component_id: str):
"""Full invocation test (docs β registry β runtime β callable)"""
def generate_sync_report(self) -> SyncReport:
"""Report on sync status, gaps, inconsistencies"""
π IMPLEMENTATION PHASESβ
Phase 1: Documentation Sync (2-3 hours)β
Goal: Update all documentation to reflect actual component counts
Tasks:
-
β Update
docs/multi-agent-reference/AGENT-INDEX.md- Add 7 missing agents (generative-ui-*, git-workflow-orchestrator, production-cleanup-orchestrator)
- Update total count: 53 β 60
- Add subsystem sections (Generative UI, Git Workflow)
-
β 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
-
β 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
-
β 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)β
Goal: Build registry loader, scan filesystem, populate JSON registries
Tasks:
-
β 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)
-
β Update
config/framework-registry.json- Add 7 missing agents
- Update total agent count to 60
- Add missing agent metadata (capabilities, tools, use_cases)
-
β Update
skills/REGISTRY.json- Add 10 missing skills (update from 20 β 30)
- Ensure all skills have proper metadata
-
β Create
config/commands-registry.json(NEW)- Register all 89 commands
- Include command metadata (description, action_policy, usage)
-
β Create
config/scripts-registry.json(NEW)- Register all all scripts
- Categorize by directory (core, generated, llm_execution, etc.)
-
β Create
config/hooks-registry.json(NEW)- Register all 17 hooks
- Include hook types, triggers, configurations
-
β 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)β
Goal: Make all components callable via Claude Code tools
Tasks:
-
β 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
-
β 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
-
β 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
-
β Create activation startup script
scripts/activate-all-components.py(auto-run on framework load)- Loads all registries
- Activates all components
- Reports activation status
-
β Update
coditect-routerto 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)β
Goal: Verify end-to-end component invocation, establish sync process
Tasks:
-
β Create
lib/integration/framework_bridge.py(NEW - 250-300 lines)- Implement documentation sync methods
- Implement registry consistency validation
- Implement end-to-end testing framework
-
β 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"
- Test agent invocation:
-
β Consistency validation
- Verify docs β registries consistency
- Verify registries β filesystem consistency
- Verify runtime β registries consistency
- Generate validation report
-
β Automated sync process
- Create pre-commit hook: Validate registries on commit
- Create CI/CD check: Verify component consistency
- Document registry maintenance workflow
-
β 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
π SUCCESS METRICSβ
Quantitative Metricsβ
| 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 Metricsβ
- β Users can discover all framework capabilities
- β Users can invoke all components without errors
- β Documentation accurately reflects framework state
- β Registries stay synchronized automatically
- β Framework feels complete and professional
Test Casesβ
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
β οΈ RISKS & MITIGATIONβ
High-Risk Itemsβ
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 Itemsβ
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) β NEWβ
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):
- β Filesystem component storage (agents/.md, skills//SKILL.md, etc.)
- β Metadata registry (framework-registry.json - 117KB, 288 components)
- β Init script (scripts/init.sh)
- β Session context preservation (MEMORY-CONTEXT/)
- β Git-based tracking
- β ComponentActivator (567 lines) - loads and activates components
The 10% Gap (What Phase 5 Adds):
- β component-activation-status.json (tracks which components are active - like Anthropic's feature_list.json)
- β Enhanced init.sh (automatically loads activation status at session start)
- β Session startup workflow (scripts/session-startup.py)
- β 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.jsonwith 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 componentsscripts/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:
- β Component activation automatic on session start
- β Status persists across sessions (via JSON + git)
- β Init.sh completes in <5 seconds
- β No manual activation required
- β 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
π¦ DELIVERABLESβ
Phase 1 Deliverablesβ
- Updated AGENT-INDEX.md
- Updated COMPLETE-INVENTORY.md
- New SCRIPTS-INDEX.md
- New HOOKS-INDEX.md
Phase 2 Deliverablesβ
- 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 Deliverablesβ
- 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 Deliverablesβ
- lib/integration/framework_bridge.py (NEW) - β Complete (415 lines)
- End-to-end test suite - β Validated
- Consistency validation report - β Generated
- Automated sync scripts - β Operational
- Usage documentation - β Complete
Phase 5 Deliverables (Multi-Session Integration)β
- .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)
π₯ TEAM & RESOURCESβ
Rolesβ
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 Requiredβ
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)
π TIMELINEβ
Target Schedule (8-12 hours)β
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
Milestonesβ
- M1 (Hour 3): All components documented β
- M2 (Hour 7): All registries populated β
- M3 (Hour 10): All components activated β
- M4 (Hour 12): All tests passing, production-ready β
β ACCEPTANCE CRITERIAβ
Phase 1-4 Acceptance (β COMPLETE)β
- All 60 agents documented in AGENT-INDEX.md
- All 60 agents registered in framework-registry.json
- All 60 agents invocable via Task tool (ComponentActivator operational)
- All all skills registered in REGISTRY.json
- framework-registry.json complete (117KB, 288 components)
- RegistryLoader operational (641 lines)
- ComponentActivator operational (567 lines)
- FrameworkBridge operational (415 lines)
- End-to-end tests validated
- Automated registry sync process operational
- Consistency validation reports generated
Phase 5 Acceptance (βΈοΈ PENDING)β
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
π NOTES & ASSUMPTIONSβ
Assumptionsβ
- 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
Dependenciesβ
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
Constraintsβ
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
π REFERENCESβ
Related Documentsβ
Technical Referencesβ
- 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