Suivi léger des dépendances avec MCP : identifier les problèmes de séquencement
Infer task dependencies from titles and comments, then produce a sequencing plan using MCP. This guide shows you how to identify dependencies, ask for constraints, suggest task reorderings, and generate reminders for dependency management.
Ce que ce workflow permet
Dependency tracking with MCP helps identify and manage task sequencing:
Résultats clés
- Dependency inference: Automatically identify task dependencies from titles and comments
- Sequencing plan: Generate an optimal task execution order
- Constraint handling: Consider timeline and resource constraints
- Reorder suggestions: Propose task reorderings to resolve sequencing issues
- Reminder generation: Create reminders for dependency-related actions
Prérequis
Before using this workflow, ensure you have:
- Corcava MCP server configured in your AI assistant
- API key with read access to tasks and comments
- Tasks with descriptive titles and comments
- Tasks that may have dependencies (e.g., "Implement feature X" depends on "Design feature X")
Workflow pas à pas
Step 1: Gather Tasks for Analysis
Start by collecting tasks that might have dependencies:
Task Collection Prompt
What the AI does:
- Calls
list_tasksfiltered by project - Filters out completed tasks
- Calls
get_taskfor each task to get details - Calls
list_task_commentsto get comment context - Presents task list for review
Step 2: Infer Dependencies
Analyze task titles and comments to identify dependencies:
Dependency Inference Prompt
What the AI does:
- Analyzes task titles for dependency keywords
- Reviews comments for dependency mentions
- Identifies implicit dependencies from task types
- Maps dependencies between tasks
Step 3: Ask for Constraints
Consider timeline and resource constraints:
Constraint Gathering Prompt
What the AI does:
- Analyzes task due dates and assignees
- Identifies timeline constraints
- Considers resource availability
- Maps external dependencies
Step 4: Generate Sequencing Plan
Create an optimal task execution order:
Sequencing Plan Prompt
What the AI does:
- Builds dependency graph
- Applies constraints to ordering
- Identifies critical path
- Generates optimal sequence
- Presents plan with phases
Step 5: Suggest Reorderings
Propose changes to resolve sequencing issues:
Reordering Suggestions Prompt
What the AI does:
- Compares current task order to optimal sequence
- Identifies tasks that should be reordered
- Explains benefits of each reordering
- Prioritizes most impactful changes
Step 6: Generate Reminders
Create reminders for dependency-related actions:
Reminder Generation Prompt
What the AI does:
- Identifies key dependency checkpoints
- Generates reminder messages
- Suggests timing for each reminder
- Formats as actionable items
Complete Workflow Prompts
Here are complete, copy-paste ready prompts:
Full Dependency Analysis
Use this when: You want a complete dependency analysis
Quick Dependency Check
Use this when: You want a quick overview of dependencies
Sequencing Plan Only
Use this when: You just need the execution order
Workflow Variants
Variant 1: Critical Path Analysis
Focus on the critical path:
What happens: AI focuses on critical path tasks only
Variant 2: Parallel Work Identification
Find tasks that can be done in parallel:
What happens: AI identifies parallelization opportunities
Example: Complete Dependency Analysis Session
Here's a real example of how a dependency analysis session flows:
User Prompt
AI Response (Dependency Analysis)
Dependency Analysis - API Redesign Project
Inferred Dependencies:
- Implement Auth Endpoints depends on Design Auth Flow (implicit: implementation needs design)
- Write API Tests depends on Implement Auth Endpoints (implicit: tests need implementation)
- Write API Documentation depends on Implement Auth Endpoints (from comment: "document after implementation")
Sequencing Plan:
Phase 1 (Prerequisites):
- Design Auth Flow
- Design API Structure (can be parallel with #1)
Phase 2 (Implementation):
- Implement Auth Endpoints
- Implement User Endpoints (can be parallel with #1 after Phase 1)
Phase 3 (Validation):
- Write API Tests
- Write API Documentation (can be parallel with #1)
Reordering Suggestions:
- Move "Design Auth Flow" earlier - it's currently blocking implementation
- Consider doing "Design API Structure" in parallel with "Design Auth Flow" to save time
Troubleshooting
No Dependencies Found
Symptom: AI reports no dependencies
Possible causes:
- Task titles don't indicate dependencies
- Comments don't mention dependencies
- Tasks are truly independent
Fix: Provide explicit dependency information: "Task X depends on Task Y" or add dependency comments to tasks
Circular Dependencies
Symptom: AI identifies circular dependencies
Possible causes:
- Tasks actually have circular dependencies
- AI misidentified dependencies
Fix: Review identified dependencies and clarify: "Task X does not depend on Task Y" or break the circular dependency
Related Tools
This workflow uses these Corcava MCP tools:
list_tasks
Gather tasks for dependency analysis
get_task
Get task details for dependency inference
list_task_comments
Check comments for dependency mentions
Related Use Cases
Track Task Dependencies Automatically
Connect your AI assistant to Corcava and identify sequencing issues
