style-guide
Style guide enforcement and documentation conventions
task-tracker
Track progress through structured task lists with complexity scoring and token tracking
Full skill instructions
I track progress through structured task lists, maintaining momentum and providing complexity data for token-cost-estimation. I help visualise progress and identify tasks that may exceed estimated costs.
Task:
- ID: unique identifier
- Description: clear, actionable
- Status: pending | in_progress | completed | blocked
- Complexity: simple | moderate | complex
- Estimated tokens: from token-cost-estimation
- Actual tokens: filled on completion
| Score | Description | Token Estimate |
|---|---|---|
| Simple | Single action, clear outcome | 100-500 |
| Moderate | Multiple steps, some uncertainty | 500-2000 |
| Complex | Investigation needed, high uncertainty | 2000+ |
in_progress at a timeTask: Implement user validation
Estimated: 800 tokens
Actual: 950 tokens
Variance: +150 (investigation took longer)
→ Record in memory-keeper
Session task list:
Session Goal: Add user authentication
Estimated Total: 3500 tokens
[ ] Task 1: Research auth patterns (moderate, 600 est)
[→] Task 2: Implement JWT handler (complex, 1200 est)
[x] Task 3: Add middleware (simple, 400 est) - actual: 380
[ ] Task 4: Write tests (moderate, 800 est)
[ ] Task 5: Update docs (simple, 500 est)
Progress: 1/5 complete, ~380/3500 tokens used
~/vaults/baphled/3. Resources/Knowledge Base/AI Development System/Skills/Workflow-Orchestration/Task Tracker.md
token-cost-estimation - Provides complexity and token dataestimation - Complexity scoring methodologytime-management - Time per task trackingscope-management - Task list reflects scopechecklist-discipline - Rigorous status updateslong-running-agent — Multi-session harness pattern (uses task-tracker per session)Style guide enforcement and documentation conventions
Enforce strict test-first discipline — no implementation code before a failing test exists
Identifying, documenting, and systematically managing technical debt to maintain codebase health
DEPRECATED - Use bdd-workflow instead
Understand complex systems, interconnections, and emergent behaviors
Systematically evaluate trade-offs when comparing alternatives
Use skills for domain knowledge, MCP tools over manual lookups
Personal writing voice and communication style conventions
Estimate and track token costs before work sessions - complexity, duration, resources
Intuitive user experiences in terminal applications - mental models, interaction patterns
Automatically discover/load local skills and suggest external skills based on task context
Maximise AI interaction value per token - techniques, patterns, integration with cost estimation
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